SlideShare une entreprise Scribd logo
1  sur  19
PREPARED BY:
Uttam Pudasaini

1/21/2014

1
TABLE OF CONTENTS









Background
Introduction
Launch Objectives
Design Concepts
Focal Plane
Major Band Of MODIS Sensor
MODIS PRODUCTS
Receiving station of MODIS

 Receiving station at ICIMOD ,NEPAL
1/21/2014

2
A SHORT HISTORY
 1983 – NASA began to explore the concept of a polar-orbiting platform to
complement a manned polar-orbiting space station
 Beginning as System Z, gained momentum with NASA’s proposed “Global
Habitability” program
 After Challenger disaster, polar space station disappeared as did manned
servicing requirement
 System Z became EOS – Earth Observing System
 Several instrument suites were developed
 Surface Imaging and Sounding Package (SISP) included the Moderate
Resolution Imaging Spectrometer
 MODIS soon split into 2 concepts
 MODIS-N focused primarily on land and atmosphere sensing but included
some ocean bands
 MODIS-T (tilting) focused on ocean
 Due to budget constraints, MODIS-T vanished, replaced by MODIS-N
1/21/2014

3
INTRODUCTION
 The Moderate Resolution Imaging Spectroradiometer
(MODIS), one of the key instruments for NASA’s Earth
Observing System (EOS), was built by Raytheon Santa
Barbara Remote Sensing (SBRS)
 MODIS Proto Flight Model (PFM) was launched on board
Terra spacecraft on 12/18/99 (first light on 02/24/00).
 http://terra.nasa.gov
 MODIS Flight Model 1 (FM1) on Aqua spacecraft was
launched on 05/04/02 (first light on 06/24/02)
 http://eos-pm.gsfc.nasa.gov
1/21/2014

4
Contd…
 MODIS (Moderate Resolution Imaging Spectrometer) is an
imaging instrument flying at an altitude of 705 km on two
satellites in NASA’s Earth Observing System: Terra and Aqua.
 Two sun-synchronous, near-polar orbiting satellites called Terra
(EOS AM-1) and Aqua (EOS PM-1) each carry a MODIS sensor
 Terra orbits from south to north with a morning equatorial crossing.
 Aqua orbits from north to south with an afternoon equatorial crossing

 Flying on two satellites allows it to image the same area at
different times of the day as well as cover the entire earth in
one or two days.
1/21/2014

5
MODIS SCAN CAVITY AND OBCS

1/21/2014

6
LAUNCH OBJECTIVES

 Unprecedented look at

terrestrial, atmospheric,

ocean

and
phenomenology for a wide and diverse
community of users throughout the world.
 To develop a valid global, interactive Earth system models able to
predict global change accurately enough to assist policy makers
in making sound decisions concerning the protection of our
environment

1/21/2014

7
1/21/2014

8
DESIGN CONCEPTS
 The Scan Mirror Assembly uses a continuously rotating double-sided
scan mirror to scan 55-degrees
 The MODIS instrument consists of a cross-track scan mirror,
collecting optics and individual detector elements.
 The swath dimensions of MODIS are 2330km (across track) by 10km
(along track at nadir).
 The along track swath dimension is due to the optical set-up as well
as the scanning mechanism of MODIS.

 In contrast to other scanning sensors like e.g. AVHRR, MODIS is
observing within one scan ten lines of 1km spatial resolution (40 lines
of 250m resolution and 20 lines of 500m resolution, respectively).
1/21/2014

9
MODIS FOCAL PLANE

1/21/2014

10
Major Bands of MODIS Sensors
 MODIS reflectance products focuses on Red, Blue, NIR AND MIR
 Red band highly related with plant growth- to calculate EVI(enhanced)
AND NDVI
 Blue band
 Shortest and nosiest band to monitor atmospheric dust and other
particles travelling across the globe
 Eliminating atmospheric noise on the calculation of vegetation
indices
 The bands help monitor changes in vegetation ,soil and atmosphere
that can influence in calculation of ecosystem variables like
vegetation indices


NIR to visualize land and water (land reflects it while water bodies
almost absorb it all)



MIR band to determine cloud properties vegetation and soil moisture

1/21/2014

11
1/21/2014

12
CONTD…
 Its coarse spatial resolution is designed to observe land, ocean,
and atmospheric conditions at a regional and global scale.
 The MODIS instrument provides high radiometric sensitivity (12
bit) in 36 spectral bands ranging in wavelength from 0.4 µm to
14.4 over a 2330 km swath.

 20 Reflective Solar Bands (RSB): 0.4 - 2.2 microns
 16 Thermal Emissive Bands (TEB) 3.5 - 14.5 microns

 Bands are imaged at a nominal resolution of 250 m at nadir, with
five bands at 500 m, and the remaining 29 bands at 1 km.
1/21/2014

13
MODIS PRODUCTS
 Availability of a suite of products ranging from raw images to
highly processed products such as vegetation indices.
 Products are made on varying temporal schedules, some of
which are made as often as daily and every 8 days.
 Products are all archived and available, usually at no charge.
 MODIS products are organized into different processing
levels.
 Level 0 products are raw digital number images.
 Level 1 products include raw radiance and calibrated
radiance images. .
 Level 2 and 3 products have more processing and are
derived from lower level products.
1/21/2014

14
WHERE TO GET MODIS PRODUCTS???
 Level 1 and atmosphere products are available through the
Level 1 and Atmospheric Archive and Distribution System
(LAADS). http://ladsweb.nascom.nasa.gov/
 Level 2 and 3 Land Products are available through Nasa’s
Warehouse Inventory Search Too (WIST) and the Land
Processes Distributed Active Archive Center (LPDAAC) Data
Pool at the U. S. Geological Survey EROS Data Center
(EDC). https://lpdaac.usgs.gov/get_data

1/21/2014

15
RECEIVING STATION
 MODIS on board the Terra and Aqua spacecraft have the
feature of Direct Broadcast capability together with an on
board data storage and a transmission capability initiated by a
ground command.
 Direct Broadcast means that all raw data collected on board
are immediately transmitted to ground.
 Everybody on the world can listen to the downloaded data
whenever the satellite is above their horizon assuming
appropriate hard- and software equipment.
 An Overpass Predictor delivered by NASA can be used to
determine when there will be a TERRA / AQUA spacecraft
overpass. More than 50 stations world-wide are now in
operation for receiving MODIS data by Direct Broadcast.
1/21/2014

16
MODIS receiving station at
ICIMOD,NEPAL
MODIS, a sensor onboard NASA's Terra and Aqua
satellites, includes the mid-infrared, allows the
application to identify the locations of thermal
anomalies, and thus active fires.
The Forest Fire Detection and Monitoring System
application uses real-time data downloaded by
ICIMOD's MODIS receiving station.
The application also adds key information from
SERVIR-Himalaya, including administrative unit
(i.e., district), protected area identification, land
cover, elevation, and slope, as well as road network
data.
The MODIS data, with ancillary data, are used to
identify the affected areas, provide district-level
fire count statistics, and provide information such
as the distance to the nearest road.

1/21/2014

The user can overlay the MODIS data with, for
example, the land cover data, to assess the damage
caused by the forest fire. A key feature of this
application is its ability to send fire alerts via
SMS/text message and/or emails to fire officials on17
their mobile telephones.
References
 http://modis.gsfc.nasa.gov/
 http://www.icimod.org/?q=10092

 Images used in my slides are snapshots from presentation slides of
different individuals

1/21/2014

18
1/21/2014

19

Contenu connexe

Tendances

hyperspectral remote sensing and its geological applications
hyperspectral remote sensing and its geological applicationshyperspectral remote sensing and its geological applications
hyperspectral remote sensing and its geological applicationsabhijeet_banerjee
 
Band Combination of Landsat 8 Earth-observing Satellite Images
Band Combination of Landsat 8 Earth-observing Satellite ImagesBand Combination of Landsat 8 Earth-observing Satellite Images
Band Combination of Landsat 8 Earth-observing Satellite ImagesKabir Uddin
 
Introduction to Landsat
Introduction to LandsatIntroduction to Landsat
Introduction to LandsatNizam GIS
 
Thermal remote sensing BY Hariom Ahlawat
Thermal remote sensing BY Hariom AhlawatThermal remote sensing BY Hariom Ahlawat
Thermal remote sensing BY Hariom AhlawatHariom Ahlawat
 
Remote sensing satellites with sensors
Remote sensing satellites with sensorsRemote sensing satellites with sensors
Remote sensing satellites with sensorsAnchit Garg
 
Generation of high resolution DSM using UAV Images
Generation of high resolution DSM using UAV Images  Generation of high resolution DSM using UAV Images
Generation of high resolution DSM using UAV Images Nepal Flying Labs
 
Thermal remote sensing and its applications
Thermal remote sensing and its applicationsThermal remote sensing and its applications
Thermal remote sensing and its applicationschandan00781
 
Indian Satellite Program(2001-2020)
Indian Satellite Program(2001-2020)Indian Satellite Program(2001-2020)
Indian Satellite Program(2001-2020)Priyanka More
 
Chapter 1 (Introduction to remote sensing)
Chapter 1 (Introduction to remote sensing)Chapter 1 (Introduction to remote sensing)
Chapter 1 (Introduction to remote sensing)Shankar Gangaju
 
Fundamentals of Remote Sensing
Fundamentals of Remote Sensing Fundamentals of Remote Sensing
Fundamentals of Remote Sensing Pallab Jana
 
Landsat 8 OLI (Operational Land Imager)
Landsat 8 OLI (Operational Land Imager)Landsat 8 OLI (Operational Land Imager)
Landsat 8 OLI (Operational Land Imager)Haris Khan
 
Platforms of Remote sensing and GIS
Platforms of Remote sensing and GISPlatforms of Remote sensing and GIS
Platforms of Remote sensing and GISMouna Guru
 
passive and active remote sensing systems, characteristics and operations
passive and active remote sensing systems,  characteristics and operationspassive and active remote sensing systems,  characteristics and operations
passive and active remote sensing systems, characteristics and operationsNzar Braim
 
Sentinel 2
Sentinel 2Sentinel 2
Sentinel 2Openmaps
 

Tendances (20)

hyperspectral remote sensing and its geological applications
hyperspectral remote sensing and its geological applicationshyperspectral remote sensing and its geological applications
hyperspectral remote sensing and its geological applications
 
Ikonos
IkonosIkonos
Ikonos
 
Band Combination of Landsat 8 Earth-observing Satellite Images
Band Combination of Landsat 8 Earth-observing Satellite ImagesBand Combination of Landsat 8 Earth-observing Satellite Images
Band Combination of Landsat 8 Earth-observing Satellite Images
 
Introduction to Landsat
Introduction to LandsatIntroduction to Landsat
Introduction to Landsat
 
Remote Sensin
Remote SensinRemote Sensin
Remote Sensin
 
Landsat
LandsatLandsat
Landsat
 
Landsat.pptx
Landsat.pptxLandsat.pptx
Landsat.pptx
 
Thermal remote sensing BY Hariom Ahlawat
Thermal remote sensing BY Hariom AhlawatThermal remote sensing BY Hariom Ahlawat
Thermal remote sensing BY Hariom Ahlawat
 
Lidar
LidarLidar
Lidar
 
Remote sensing satellites with sensors
Remote sensing satellites with sensorsRemote sensing satellites with sensors
Remote sensing satellites with sensors
 
Generation of high resolution DSM using UAV Images
Generation of high resolution DSM using UAV Images  Generation of high resolution DSM using UAV Images
Generation of high resolution DSM using UAV Images
 
Thermal remote sensing and its applications
Thermal remote sensing and its applicationsThermal remote sensing and its applications
Thermal remote sensing and its applications
 
Indian Satellite Program(2001-2020)
Indian Satellite Program(2001-2020)Indian Satellite Program(2001-2020)
Indian Satellite Program(2001-2020)
 
Chapter 1 (Introduction to remote sensing)
Chapter 1 (Introduction to remote sensing)Chapter 1 (Introduction to remote sensing)
Chapter 1 (Introduction to remote sensing)
 
Fundamentals of Remote Sensing
Fundamentals of Remote Sensing Fundamentals of Remote Sensing
Fundamentals of Remote Sensing
 
Remote sensing & gis
Remote sensing & gisRemote sensing & gis
Remote sensing & gis
 
Landsat 8 OLI (Operational Land Imager)
Landsat 8 OLI (Operational Land Imager)Landsat 8 OLI (Operational Land Imager)
Landsat 8 OLI (Operational Land Imager)
 
Platforms of Remote sensing and GIS
Platforms of Remote sensing and GISPlatforms of Remote sensing and GIS
Platforms of Remote sensing and GIS
 
passive and active remote sensing systems, characteristics and operations
passive and active remote sensing systems,  characteristics and operationspassive and active remote sensing systems,  characteristics and operations
passive and active remote sensing systems, characteristics and operations
 
Sentinel 2
Sentinel 2Sentinel 2
Sentinel 2
 

En vedette

Karolina Argote - Uso de datos MODIS en el monitoreo de cambios de cobertura ...
Karolina Argote - Uso de datos MODIS en el monitoreo de cambios de cobertura ...Karolina Argote - Uso de datos MODIS en el monitoreo de cambios de cobertura ...
Karolina Argote - Uso de datos MODIS en el monitoreo de cambios de cobertura ...Decision and Policy Analysis Program
 
Satellite fundamentals
Satellite fundamentals  Satellite fundamentals
Satellite fundamentals Ghassan Hadi
 
Evaluating satellite remote sensing as a method for measuring yield variabili...
Evaluating satellite remote sensing as a method for measuring yield variabili...Evaluating satellite remote sensing as a method for measuring yield variabili...
Evaluating satellite remote sensing as a method for measuring yield variabili...Amanda Woods
 
Advantages and disadvantages of Remote Sensing
Advantages and disadvantages of Remote SensingAdvantages and disadvantages of Remote Sensing
Advantages and disadvantages of Remote SensingEr Abhi Vashi
 
Remote sensing ppt
Remote sensing pptRemote sensing ppt
Remote sensing pptcoolmridul92
 
Basic of Remote Sensing
Basic of Remote SensingBasic of Remote Sensing
Basic of Remote Sensinggueste5cfed
 
Remote Sensing PPT
Remote Sensing PPTRemote Sensing PPT
Remote Sensing PPTAmal Murali
 

En vedette (9)

Karolina Argote - Uso de datos MODIS en el monitoreo de cambios de cobertura ...
Karolina Argote - Uso de datos MODIS en el monitoreo de cambios de cobertura ...Karolina Argote - Uso de datos MODIS en el monitoreo de cambios de cobertura ...
Karolina Argote - Uso de datos MODIS en el monitoreo de cambios de cobertura ...
 
Satellite fundamentals
Satellite fundamentals  Satellite fundamentals
Satellite fundamentals
 
Evaluating satellite remote sensing as a method for measuring yield variabili...
Evaluating satellite remote sensing as a method for measuring yield variabili...Evaluating satellite remote sensing as a method for measuring yield variabili...
Evaluating satellite remote sensing as a method for measuring yield variabili...
 
Indian remote sensing
Indian remote sensingIndian remote sensing
Indian remote sensing
 
Planeamiento i unidad
Planeamiento i unidadPlaneamiento i unidad
Planeamiento i unidad
 
Advantages and disadvantages of Remote Sensing
Advantages and disadvantages of Remote SensingAdvantages and disadvantages of Remote Sensing
Advantages and disadvantages of Remote Sensing
 
Remote sensing ppt
Remote sensing pptRemote sensing ppt
Remote sensing ppt
 
Basic of Remote Sensing
Basic of Remote SensingBasic of Remote Sensing
Basic of Remote Sensing
 
Remote Sensing PPT
Remote Sensing PPTRemote Sensing PPT
Remote Sensing PPT
 

Similaire à MODIS (Moderate Resolution Imaging Spectrometer)

REMOTE SENSING PLATFORMS.ppt
REMOTE SENSING PLATFORMS.pptREMOTE SENSING PLATFORMS.ppt
REMOTE SENSING PLATFORMS.pptDivyaPriya700213
 
4_REMOTE SENSING PLATFORMS.ppt
4_REMOTE SENSING PLATFORMS.ppt4_REMOTE SENSING PLATFORMS.ppt
4_REMOTE SENSING PLATFORMS.pptDivyaPriya700213
 
remote sensing platforms materials for student
remote sensing platforms materials for studentremote sensing platforms materials for student
remote sensing platforms materials for studentWidyastutiSAA
 
Earth Observation Systems Evolution- Thales Alenia Space at Paris Air Show 2013
Earth Observation Systems Evolution- Thales Alenia Space at Paris Air Show 2013Earth Observation Systems Evolution- Thales Alenia Space at Paris Air Show 2013
Earth Observation Systems Evolution- Thales Alenia Space at Paris Air Show 2013Leonardo
 
1 IGARSS 2011 JPSS Monday Goldberg.pptx
1 IGARSS 2011 JPSS Monday Goldberg.pptx1 IGARSS 2011 JPSS Monday Goldberg.pptx
1 IGARSS 2011 JPSS Monday Goldberg.pptxgrssieee
 
Hydrography : Tools & Techniques
Hydrography : Tools & TechniquesHydrography : Tools & Techniques
Hydrography : Tools & TechniquesAbdul Alim Kamran
 
Setellite image sensors
Setellite image sensorsSetellite image sensors
Setellite image sensorsMd Asif Hasan
 
Meterological Technology International, Nov 2010
Meterological Technology International, Nov 2010Meterological Technology International, Nov 2010
Meterological Technology International, Nov 2010laurajairam
 
Geo Stationary Earth Orbit imaging satellite
Geo Stationary Earth Orbit imaging satelliteGeo Stationary Earth Orbit imaging satellite
Geo Stationary Earth Orbit imaging satelliteDivya Lal
 
Advances in Agricultural remote sensings
Advances in Agricultural remote sensingsAdvances in Agricultural remote sensings
Advances in Agricultural remote sensingsAyanDas644783
 
Intelligent satellites
Intelligent satellitesIntelligent satellites
Intelligent satellitesClifford Stone
 
Indian Remote Sensing satellites (IRS).pptx
Indian Remote Sensing satellites (IRS).pptxIndian Remote Sensing satellites (IRS).pptx
Indian Remote Sensing satellites (IRS).pptxsapna kinattinkara
 
Remote sensing - Scanners
Remote sensing - ScannersRemote sensing - Scanners
Remote sensing - ScannersPramoda Raj
 
Helen Chedzey_The derivation and application of the MODIS 19-band reflectance...
Helen Chedzey_The derivation and application of the MODIS 19-band reflectance...Helen Chedzey_The derivation and application of the MODIS 19-band reflectance...
Helen Chedzey_The derivation and application of the MODIS 19-band reflectance...TERN Australia
 

Similaire à MODIS (Moderate Resolution Imaging Spectrometer) (20)

REMOTE SENSING PLATFORMS.ppt
REMOTE SENSING PLATFORMS.pptREMOTE SENSING PLATFORMS.ppt
REMOTE SENSING PLATFORMS.ppt
 
4_REMOTE SENSING PLATFORMS.ppt
4_REMOTE SENSING PLATFORMS.ppt4_REMOTE SENSING PLATFORMS.ppt
4_REMOTE SENSING PLATFORMS.ppt
 
remote sensing platforms materials for student
remote sensing platforms materials for studentremote sensing platforms materials for student
remote sensing platforms materials for student
 
Rs
RsRs
Rs
 
AAS National Conference 2008: Graham Gibbs
AAS National Conference 2008: Graham GibbsAAS National Conference 2008: Graham Gibbs
AAS National Conference 2008: Graham Gibbs
 
Earth Observation Systems Evolution- Thales Alenia Space at Paris Air Show 2013
Earth Observation Systems Evolution- Thales Alenia Space at Paris Air Show 2013Earth Observation Systems Evolution- Thales Alenia Space at Paris Air Show 2013
Earth Observation Systems Evolution- Thales Alenia Space at Paris Air Show 2013
 
Final Lecture Enav211
Final Lecture Enav211Final Lecture Enav211
Final Lecture Enav211
 
1 IGARSS 2011 JPSS Monday Goldberg.pptx
1 IGARSS 2011 JPSS Monday Goldberg.pptx1 IGARSS 2011 JPSS Monday Goldberg.pptx
1 IGARSS 2011 JPSS Monday Goldberg.pptx
 
Hydrography : Tools & Techniques
Hydrography : Tools & TechniquesHydrography : Tools & Techniques
Hydrography : Tools & Techniques
 
Setellite image sensors
Setellite image sensorsSetellite image sensors
Setellite image sensors
 
Meterological Technology International, Nov 2010
Meterological Technology International, Nov 2010Meterological Technology International, Nov 2010
Meterological Technology International, Nov 2010
 
In sar 1-1-2011
In sar 1-1-2011In sar 1-1-2011
In sar 1-1-2011
 
Land management
Land managementLand management
Land management
 
Geo imaging satellite
Geo imaging satelliteGeo imaging satellite
Geo imaging satellite
 
Geo Stationary Earth Orbit imaging satellite
Geo Stationary Earth Orbit imaging satelliteGeo Stationary Earth Orbit imaging satellite
Geo Stationary Earth Orbit imaging satellite
 
Advances in Agricultural remote sensings
Advances in Agricultural remote sensingsAdvances in Agricultural remote sensings
Advances in Agricultural remote sensings
 
Intelligent satellites
Intelligent satellitesIntelligent satellites
Intelligent satellites
 
Indian Remote Sensing satellites (IRS).pptx
Indian Remote Sensing satellites (IRS).pptxIndian Remote Sensing satellites (IRS).pptx
Indian Remote Sensing satellites (IRS).pptx
 
Remote sensing - Scanners
Remote sensing - ScannersRemote sensing - Scanners
Remote sensing - Scanners
 
Helen Chedzey_The derivation and application of the MODIS 19-band reflectance...
Helen Chedzey_The derivation and application of the MODIS 19-band reflectance...Helen Chedzey_The derivation and application of the MODIS 19-band reflectance...
Helen Chedzey_The derivation and application of the MODIS 19-band reflectance...
 

Plus de Nepal Flying Labs

Use of Drones in Humanitarian Action and Disaster Management
Use of Drones in Humanitarian Action and Disaster ManagementUse of Drones in Humanitarian Action and Disaster Management
Use of Drones in Humanitarian Action and Disaster ManagementNepal Flying Labs
 
Nepal Flying Labs - Getting to Scale
Nepal Flying Labs - Getting to ScaleNepal Flying Labs - Getting to Scale
Nepal Flying Labs - Getting to ScaleNepal Flying Labs
 
WeRobotics and Flying Labs: Uses of Drones in Humanitarian and Social Good p...
WeRobotics and Flying Labs:  Uses of Drones in Humanitarian and Social Good p...WeRobotics and Flying Labs:  Uses of Drones in Humanitarian and Social Good p...
WeRobotics and Flying Labs: Uses of Drones in Humanitarian and Social Good p...Nepal Flying Labs
 
Presentation on Drones and Open Street Maps
Presentation on Drones and Open Street MapsPresentation on Drones and Open Street Maps
Presentation on Drones and Open Street MapsNepal Flying Labs
 
Usages and Challenges of using DRONES in Reconstruction Efforts of NEPAL
Usages and Challenges of using DRONES  in Reconstruction Efforts of NEPALUsages and Challenges of using DRONES  in Reconstruction Efforts of NEPAL
Usages and Challenges of using DRONES in Reconstruction Efforts of NEPALNepal Flying Labs
 
Poster Presentation "Generation of High Resolution DSM Usin UAV Images"
Poster Presentation "Generation of High Resolution DSM Usin UAV Images"Poster Presentation "Generation of High Resolution DSM Usin UAV Images"
Poster Presentation "Generation of High Resolution DSM Usin UAV Images"Nepal Flying Labs
 
Using arc map to create package map along with a report file [metadata]
Using arc map to create package map along with a report file [metadata]Using arc map to create package map along with a report file [metadata]
Using arc map to create package map along with a report file [metadata]Nepal Flying Labs
 
Geoprocessing(Building Your Own Tool) and Geostatistical Analysis(An Introdu...
Geoprocessing(Building Your Own Tool)  and Geostatistical Analysis(An Introdu...Geoprocessing(Building Your Own Tool)  and Geostatistical Analysis(An Introdu...
Geoprocessing(Building Your Own Tool) and Geostatistical Analysis(An Introdu...Nepal Flying Labs
 
Analysis of suggested Sites for Construction of a Shopping Mall at Banepa,Kavre
Analysis of suggested Sites for Construction of a Shopping Mall at Banepa,KavreAnalysis of suggested Sites for Construction of a Shopping Mall at Banepa,Kavre
Analysis of suggested Sites for Construction of a Shopping Mall at Banepa,KavreNepal Flying Labs
 
Survey and Design of Gravity Fed Water supply system at a DadaGaun ,Banepa
Survey and Design of Gravity Fed Water supply system at a DadaGaun ,BanepaSurvey and Design of Gravity Fed Water supply system at a DadaGaun ,Banepa
Survey and Design of Gravity Fed Water supply system at a DadaGaun ,BanepaNepal Flying Labs
 
FROM BIG BANG TO THE PRESENT TIME
FROM BIG BANG TO THE PRESENT TIMEFROM BIG BANG TO THE PRESENT TIME
FROM BIG BANG TO THE PRESENT TIMENepal Flying Labs
 
MEASUREMENT OF SURFACE TEMPERATURE OF A GLACIER USING AN UNMANNED AERIAL VEHI...
MEASUREMENT OF SURFACE TEMPERATURE OF A GLACIER USING AN UNMANNED AERIAL VEHI...MEASUREMENT OF SURFACE TEMPERATURE OF A GLACIER USING AN UNMANNED AERIAL VEHI...
MEASUREMENT OF SURFACE TEMPERATURE OF A GLACIER USING AN UNMANNED AERIAL VEHI...Nepal Flying Labs
 
TWO MOST COMMON GEOGRAPHIC INFORMATION SERVICE STANDARDS 19116:2004 AND ISO ...
TWO MOST COMMON GEOGRAPHIC INFORMATION SERVICE STANDARDS 19116:2004 AND  ISO ...TWO MOST COMMON GEOGRAPHIC INFORMATION SERVICE STANDARDS 19116:2004 AND  ISO ...
TWO MOST COMMON GEOGRAPHIC INFORMATION SERVICE STANDARDS 19116:2004 AND ISO ...Nepal Flying Labs
 
3D MODELLING OF KATHMANDU UNIVERSITY
3D MODELLING OF KATHMANDU UNIVERSITY3D MODELLING OF KATHMANDU UNIVERSITY
3D MODELLING OF KATHMANDU UNIVERSITYNepal Flying Labs
 
WHAT'S THERE IN GEOMATICS ENGINEERING???
WHAT'S THERE IN GEOMATICS ENGINEERING???WHAT'S THERE IN GEOMATICS ENGINEERING???
WHAT'S THERE IN GEOMATICS ENGINEERING???Nepal Flying Labs
 

Plus de Nepal Flying Labs (15)

Use of Drones in Humanitarian Action and Disaster Management
Use of Drones in Humanitarian Action and Disaster ManagementUse of Drones in Humanitarian Action and Disaster Management
Use of Drones in Humanitarian Action and Disaster Management
 
Nepal Flying Labs - Getting to Scale
Nepal Flying Labs - Getting to ScaleNepal Flying Labs - Getting to Scale
Nepal Flying Labs - Getting to Scale
 
WeRobotics and Flying Labs: Uses of Drones in Humanitarian and Social Good p...
WeRobotics and Flying Labs:  Uses of Drones in Humanitarian and Social Good p...WeRobotics and Flying Labs:  Uses of Drones in Humanitarian and Social Good p...
WeRobotics and Flying Labs: Uses of Drones in Humanitarian and Social Good p...
 
Presentation on Drones and Open Street Maps
Presentation on Drones and Open Street MapsPresentation on Drones and Open Street Maps
Presentation on Drones and Open Street Maps
 
Usages and Challenges of using DRONES in Reconstruction Efforts of NEPAL
Usages and Challenges of using DRONES  in Reconstruction Efforts of NEPALUsages and Challenges of using DRONES  in Reconstruction Efforts of NEPAL
Usages and Challenges of using DRONES in Reconstruction Efforts of NEPAL
 
Poster Presentation "Generation of High Resolution DSM Usin UAV Images"
Poster Presentation "Generation of High Resolution DSM Usin UAV Images"Poster Presentation "Generation of High Resolution DSM Usin UAV Images"
Poster Presentation "Generation of High Resolution DSM Usin UAV Images"
 
Using arc map to create package map along with a report file [metadata]
Using arc map to create package map along with a report file [metadata]Using arc map to create package map along with a report file [metadata]
Using arc map to create package map along with a report file [metadata]
 
Geoprocessing(Building Your Own Tool) and Geostatistical Analysis(An Introdu...
Geoprocessing(Building Your Own Tool)  and Geostatistical Analysis(An Introdu...Geoprocessing(Building Your Own Tool)  and Geostatistical Analysis(An Introdu...
Geoprocessing(Building Your Own Tool) and Geostatistical Analysis(An Introdu...
 
Analysis of suggested Sites for Construction of a Shopping Mall at Banepa,Kavre
Analysis of suggested Sites for Construction of a Shopping Mall at Banepa,KavreAnalysis of suggested Sites for Construction of a Shopping Mall at Banepa,Kavre
Analysis of suggested Sites for Construction of a Shopping Mall at Banepa,Kavre
 
Survey and Design of Gravity Fed Water supply system at a DadaGaun ,Banepa
Survey and Design of Gravity Fed Water supply system at a DadaGaun ,BanepaSurvey and Design of Gravity Fed Water supply system at a DadaGaun ,Banepa
Survey and Design of Gravity Fed Water supply system at a DadaGaun ,Banepa
 
FROM BIG BANG TO THE PRESENT TIME
FROM BIG BANG TO THE PRESENT TIMEFROM BIG BANG TO THE PRESENT TIME
FROM BIG BANG TO THE PRESENT TIME
 
MEASUREMENT OF SURFACE TEMPERATURE OF A GLACIER USING AN UNMANNED AERIAL VEHI...
MEASUREMENT OF SURFACE TEMPERATURE OF A GLACIER USING AN UNMANNED AERIAL VEHI...MEASUREMENT OF SURFACE TEMPERATURE OF A GLACIER USING AN UNMANNED AERIAL VEHI...
MEASUREMENT OF SURFACE TEMPERATURE OF A GLACIER USING AN UNMANNED AERIAL VEHI...
 
TWO MOST COMMON GEOGRAPHIC INFORMATION SERVICE STANDARDS 19116:2004 AND ISO ...
TWO MOST COMMON GEOGRAPHIC INFORMATION SERVICE STANDARDS 19116:2004 AND  ISO ...TWO MOST COMMON GEOGRAPHIC INFORMATION SERVICE STANDARDS 19116:2004 AND  ISO ...
TWO MOST COMMON GEOGRAPHIC INFORMATION SERVICE STANDARDS 19116:2004 AND ISO ...
 
3D MODELLING OF KATHMANDU UNIVERSITY
3D MODELLING OF KATHMANDU UNIVERSITY3D MODELLING OF KATHMANDU UNIVERSITY
3D MODELLING OF KATHMANDU UNIVERSITY
 
WHAT'S THERE IN GEOMATICS ENGINEERING???
WHAT'S THERE IN GEOMATICS ENGINEERING???WHAT'S THERE IN GEOMATICS ENGINEERING???
WHAT'S THERE IN GEOMATICS ENGINEERING???
 

Dernier

AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAndrey Devyatkin
 
Developing An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of BrazilDeveloping An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of BrazilV3cube
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Scriptwesley chun
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024The Digital Insurer
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?Antenna Manufacturer Coco
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
HTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation StrategiesHTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation StrategiesBoston Institute of Analytics
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Drew Madelung
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Neo4j
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsJoaquim Jorge
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century educationjfdjdjcjdnsjd
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfsudhanshuwaghmare1
 

Dernier (20)

AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Developing An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of BrazilDeveloping An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of Brazil
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
HTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation StrategiesHTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation Strategies
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 

MODIS (Moderate Resolution Imaging Spectrometer)

  • 2. TABLE OF CONTENTS         Background Introduction Launch Objectives Design Concepts Focal Plane Major Band Of MODIS Sensor MODIS PRODUCTS Receiving station of MODIS  Receiving station at ICIMOD ,NEPAL 1/21/2014 2
  • 3. A SHORT HISTORY  1983 – NASA began to explore the concept of a polar-orbiting platform to complement a manned polar-orbiting space station  Beginning as System Z, gained momentum with NASA’s proposed “Global Habitability” program  After Challenger disaster, polar space station disappeared as did manned servicing requirement  System Z became EOS – Earth Observing System  Several instrument suites were developed  Surface Imaging and Sounding Package (SISP) included the Moderate Resolution Imaging Spectrometer  MODIS soon split into 2 concepts  MODIS-N focused primarily on land and atmosphere sensing but included some ocean bands  MODIS-T (tilting) focused on ocean  Due to budget constraints, MODIS-T vanished, replaced by MODIS-N 1/21/2014 3
  • 4. INTRODUCTION  The Moderate Resolution Imaging Spectroradiometer (MODIS), one of the key instruments for NASA’s Earth Observing System (EOS), was built by Raytheon Santa Barbara Remote Sensing (SBRS)  MODIS Proto Flight Model (PFM) was launched on board Terra spacecraft on 12/18/99 (first light on 02/24/00).  http://terra.nasa.gov  MODIS Flight Model 1 (FM1) on Aqua spacecraft was launched on 05/04/02 (first light on 06/24/02)  http://eos-pm.gsfc.nasa.gov 1/21/2014 4
  • 5. Contd…  MODIS (Moderate Resolution Imaging Spectrometer) is an imaging instrument flying at an altitude of 705 km on two satellites in NASA’s Earth Observing System: Terra and Aqua.  Two sun-synchronous, near-polar orbiting satellites called Terra (EOS AM-1) and Aqua (EOS PM-1) each carry a MODIS sensor  Terra orbits from south to north with a morning equatorial crossing.  Aqua orbits from north to south with an afternoon equatorial crossing  Flying on two satellites allows it to image the same area at different times of the day as well as cover the entire earth in one or two days. 1/21/2014 5
  • 6. MODIS SCAN CAVITY AND OBCS 1/21/2014 6
  • 7. LAUNCH OBJECTIVES  Unprecedented look at terrestrial, atmospheric, ocean and phenomenology for a wide and diverse community of users throughout the world.  To develop a valid global, interactive Earth system models able to predict global change accurately enough to assist policy makers in making sound decisions concerning the protection of our environment 1/21/2014 7
  • 9. DESIGN CONCEPTS  The Scan Mirror Assembly uses a continuously rotating double-sided scan mirror to scan 55-degrees  The MODIS instrument consists of a cross-track scan mirror, collecting optics and individual detector elements.  The swath dimensions of MODIS are 2330km (across track) by 10km (along track at nadir).  The along track swath dimension is due to the optical set-up as well as the scanning mechanism of MODIS.  In contrast to other scanning sensors like e.g. AVHRR, MODIS is observing within one scan ten lines of 1km spatial resolution (40 lines of 250m resolution and 20 lines of 500m resolution, respectively). 1/21/2014 9
  • 11. Major Bands of MODIS Sensors  MODIS reflectance products focuses on Red, Blue, NIR AND MIR  Red band highly related with plant growth- to calculate EVI(enhanced) AND NDVI  Blue band  Shortest and nosiest band to monitor atmospheric dust and other particles travelling across the globe  Eliminating atmospheric noise on the calculation of vegetation indices  The bands help monitor changes in vegetation ,soil and atmosphere that can influence in calculation of ecosystem variables like vegetation indices  NIR to visualize land and water (land reflects it while water bodies almost absorb it all)  MIR band to determine cloud properties vegetation and soil moisture 1/21/2014 11
  • 13. CONTD…  Its coarse spatial resolution is designed to observe land, ocean, and atmospheric conditions at a regional and global scale.  The MODIS instrument provides high radiometric sensitivity (12 bit) in 36 spectral bands ranging in wavelength from 0.4 µm to 14.4 over a 2330 km swath.  20 Reflective Solar Bands (RSB): 0.4 - 2.2 microns  16 Thermal Emissive Bands (TEB) 3.5 - 14.5 microns  Bands are imaged at a nominal resolution of 250 m at nadir, with five bands at 500 m, and the remaining 29 bands at 1 km. 1/21/2014 13
  • 14. MODIS PRODUCTS  Availability of a suite of products ranging from raw images to highly processed products such as vegetation indices.  Products are made on varying temporal schedules, some of which are made as often as daily and every 8 days.  Products are all archived and available, usually at no charge.  MODIS products are organized into different processing levels.  Level 0 products are raw digital number images.  Level 1 products include raw radiance and calibrated radiance images. .  Level 2 and 3 products have more processing and are derived from lower level products. 1/21/2014 14
  • 15. WHERE TO GET MODIS PRODUCTS???  Level 1 and atmosphere products are available through the Level 1 and Atmospheric Archive and Distribution System (LAADS). http://ladsweb.nascom.nasa.gov/  Level 2 and 3 Land Products are available through Nasa’s Warehouse Inventory Search Too (WIST) and the Land Processes Distributed Active Archive Center (LPDAAC) Data Pool at the U. S. Geological Survey EROS Data Center (EDC). https://lpdaac.usgs.gov/get_data 1/21/2014 15
  • 16. RECEIVING STATION  MODIS on board the Terra and Aqua spacecraft have the feature of Direct Broadcast capability together with an on board data storage and a transmission capability initiated by a ground command.  Direct Broadcast means that all raw data collected on board are immediately transmitted to ground.  Everybody on the world can listen to the downloaded data whenever the satellite is above their horizon assuming appropriate hard- and software equipment.  An Overpass Predictor delivered by NASA can be used to determine when there will be a TERRA / AQUA spacecraft overpass. More than 50 stations world-wide are now in operation for receiving MODIS data by Direct Broadcast. 1/21/2014 16
  • 17. MODIS receiving station at ICIMOD,NEPAL MODIS, a sensor onboard NASA's Terra and Aqua satellites, includes the mid-infrared, allows the application to identify the locations of thermal anomalies, and thus active fires. The Forest Fire Detection and Monitoring System application uses real-time data downloaded by ICIMOD's MODIS receiving station. The application also adds key information from SERVIR-Himalaya, including administrative unit (i.e., district), protected area identification, land cover, elevation, and slope, as well as road network data. The MODIS data, with ancillary data, are used to identify the affected areas, provide district-level fire count statistics, and provide information such as the distance to the nearest road. 1/21/2014 The user can overlay the MODIS data with, for example, the land cover data, to assess the damage caused by the forest fire. A key feature of this application is its ability to send fire alerts via SMS/text message and/or emails to fire officials on17 their mobile telephones.
  • 18. References  http://modis.gsfc.nasa.gov/  http://www.icimod.org/?q=10092  Images used in my slides are snapshots from presentation slides of different individuals 1/21/2014 18