Report

A

This a report based on the topic remote sensing.This will help you to get some information about remote sensing.

REPORT
ON
REMOTE SENSING
Submitted for the course Life Skills
PREPARED BY
ALIN BABU
ROLL NO:7
R3
CONTENTS
SL NO: TITLE PAGE NO:
1. INTRODUCTION 1
2. WHAT IS REMOTE SENSING? 1
3. TYPES OF REMOTE SENSING 2
3.1. Satellite Remote Sensing 3
3.2. Optical and Infrared Remote Sensing 4
3.3. Microwave Remote Sensing 5
4. APLLICATIONS OF REMOTE SENSING 6
5. IMPORTANCE OF REMOTE SENSING 7
6. ADVANTAGES OF REMOTE SENSING 7
7. DISADVANTAGES OF REMOTE SENSING 8
8. CONCLUSION 8
9. BIBLIOGRAPHY 9
1
1.INTRODUCTION
Remote sensing is the art and science of recording, measuring, and analysing
information about a phenomenon from a distance. Humans with the aid of their eyes, noses,
and ears are constantly seeing, smelling, and hearing things from a distance as they move
through an environment.
Thus, humans are naturally designed to be remote sensors. In order to study large areas
of the Earth’s surface geographers use devices known as remote sensors. These sensors are
mounted on platforms such as helicopters, planes, and satellites that make it possible for the
sensors to observe the Earth from above.
In this report, I will mainly focus on basic meaning or technical definition of remote
sensing, different types of remote sensing, applications, need for remote sensing, advantages
and disadvantages.
2.WHAT IS REMOTE SENSING?
Remote sensing is science of acquiring, processing, and interpreting images and related
data that are obtained from ground based, air or space borne instruments that record the
interaction between matter (target) and electromagnetic radiation.
Remote sensing uses the electromagnetic spectrum to image the land, ocean, and atmosphere.
In remote sensing, the sensors are not in direct contact with the objects or events being
observed. The information needs a physical carrier to travel from the objects/events to the
sensors through an intervening medium. The electromagnetic radiation is normally used as an
2
information carrier in remote sensing. The output of a remote sensing system is usually an
image representing the scene being observed. A further step of image analysis and
interpretation is required in order to extract useful information from the image.
Fig:1 -Process of remote sensing by satellite by receiving signals
3.TYPES OF REMOTE SENSING
There are mainly three types of remote sensing technique. They are
 Satellite Remote Sensing
 Optical and Infrared Remote Sensing
 Microwave Remote Sensing
3
3.1. SATELLITE REMOTE SENSING
In satellite, remote sensing of the earth, the sensors are looking through a layer of
atmosphere separating the sensors from the Earth's surface being observed. Hence, it is
essential to understand the effects of atmosphere on the electromagnetic radiation travelling
from the Earth to the sensor through the atmosphere. The atmospheric constituents cause
wavelength dependent absorption and scattering of radiation. These effects degrade the quality
of images. Some of the atmospheric effects can be corrected before the images are subjected
to further analysis and interpretation.
Fig:2-Satellite remote sensor image
A consequence of atmospheric absorption is that certain wavelength bands in the
electromagnetic spectrum are strongly absorbed and effectively blocked by the atmosphere.
The wavelength regions in the electromagnetic spectrum usable for remote sensing are
determined by their ability to penetrate atmosphere. These regions are known as the
atmospheric transmission windows. Remote sensing systems are often designed to operate
within one or more of the atmospheric windows. These windows exist in the microwave region,
some wavelength bands in the infrared, the entire visible region and part of the near ultraviolet
4
regions. Although the atmosphere is practically transparent to x-rays and gamma rays, these
radiations are not normally used in remote sensing of the earth.
3.2. OPTICAL AND INFARRED REMOTE SENSING
In Optical Remote Sensing, optical sensors detect solar radiation reflected or scattered
from the earth, forming images resembling photographs taken by a camera high up in space.
The wavelength region usually extends from the visible and near infrared (commonly
abbreviated as VNIR) to the short-wave infrared (SWIR).
Different materials such as water, soil, vegetation, buildings and roads reflect visible
and infrared light in different ways. They have different colours and brightness when seen
under the sun. The interpretation of optical images requires the knowledge of the spectral
reflectance signatures of the various materials (natural or man-made) covering the surface of
the earth.
There are also infrared sensors measuring the thermal infrared radiation emitted from
the earth, from which the land or sea surface temperature can be derived.
Fig:3-Black and white image from optical remote sensor
5
3.3. MICROWAVE REMOTE SENSING
There are some remote sensing satellites which carry passive or active microwave
sensors. The active sensors emit pulses of microwave radiation to illuminate the areas to be
imaged. Images of the earth surface are formed by measuring the microwave energy scattered
by the ground or sea back to the sensors. These satellites carry their own "flashlight" emitting
microwaves to illuminate their targets. The images can thus be acquired day and night.
Microwaves have an additional advantage as they can penetrate clouds. Images can be acquired
even when there are clouds covering the earth surface.
A microwave imaging system which can produce high resolution image of the Earth is
the synthetic aperture radar (SAR). The intensity in a SAR image depends on the amount of
microwave backscattered by the target and received by the SAR antenna. Since the physical
mechanisms responsible for this backscatter is different for microwave, compared to
visible/infrared radiation, the interpretation of SAR images requires the knowledge of how
microwaves interact with the targets.
Fig:4-Process of microwave remote sensing
6
Fig:5-Microwave remote sensor image of Death Valley,
California and surrounding mountains.
APLLICATIONS OF REMOTE SENSING
 Laser and radar altimeters on satellites have provided a wide range of data. By
measuring the bulges of water caused by gravity, they map features on the seafloor to
a resolution of a mile or so. By measuring the height and wavelength of ocean waves,
the altimeters measure wind speeds and direction, and surface ocean currents and
directions.
 Ultrasound (acoustic) and radar tide gauges’ measure sea level, tides and wave direction
in coastal and offshore tide gauges.
 Light detection and ranging (LIDAR) is well known in examples of weapon ranging,
laser illuminated homing of projectiles. LIDAR is used to detect and measure the
concentration of various chemicals in the atmosphere, while airborne LIDAR can be
used to measure heights of objects and features on the ground more accurately than
with radar technology. Vegetation remote sensing is a principal application of LIDAR.
7
 Radiometers and photometers are the most common instrument in use, collecting
reflected and emitted radiation in a wide range of frequencies. The most common are
visible and infrared sensors, followed by microwave, gamma ray and rarely, ultraviolet.
 Stereographic pairs of aerial photographs have often been used to make topographic
maps by imagery and terrain analysts in trafficability and highway departments for
potential routes, in addition to modelling terrestrial habitat features.
 Surface Temperature: Sea or lake surface temperature (SST or LST) is derived from
satellites orbiting the earth. One such useful device is NOAA's (National
Oceanographic and Atmospheric Administration) AVHRR or Advanced Very High
Resolution Radiometer.
IMPORTANCE OF REMOTE SENSING
 Remote sensing makes it possible to collect data on dangerous or inaccessible areas.
 Remote sensing provides real time updates, and does not require active human
assistance (i.e. you can collect data at any time, at any frequency, as long as the
equipment allows it).
 Remote sensing can detect things that are not normally present in the visible spectrum
for example, temperature, or by detecting landforms underneath the surface of the
ground or ocean.
 Remote sensing can scan large areas of land by satellite much more quickly than a
ground survey.
ADVANTAGES OF REMOTE SENSING
 Provides data of large areas
 Provides data of very remote and inaccessible regions
8
 Able to obtain imagery of any area over a continuous period of time through which
the any anthropogenic or natural changes in the landscape can be analysed
 Relatively inexpensive when compared to employing a team of surveyors
 Easy and rapid collection of data
 Rapid production of maps for interpretation
DISADVANTAGES OF REMOTE SENSING
 The interpretation of imagery requires a certain skill level
 Needs cross verification with ground (field) survey data
 Data from multiple sources may create confusion
 Objects can be misclassified or confused
 Distortions may occur in an image due to the relative motion of sensor and source
CONCLUSION
Remote sensing is a technology with lot of applications. The emerging of this
technology help us to find earths image from a satellite. This technology is used to find the
images of other planets. The improvement of this technology helps the space scientists, military
for monitoring places. As remote sensing refers to the activities of observing/perceiving objects
or events at faraway places, the development of this technology will also help the agricultural
field, forest mapping and finding soil erosion. Thus, remote sensing is indeed a good
technology with many applications.
9
BIBLIOGRAPHY
 www.google.com
 www.studymafia.org
 www.wikipedia.com
 www.crisp.nus.edu.sg/~research/tutorial/intro.htm

Recommandé

Concept of remote sensing par
Concept of remote sensingConcept of remote sensing
Concept of remote sensingUTTAM KUMAR PARIDA
3.6K vues40 diapositives
Remote sensing par
Remote sensingRemote sensing
Remote sensingPrabhat Paudel
2.4K vues231 diapositives
Fundamentals of Remote Sensing par
Fundamentals of Remote SensingFundamentals of Remote Sensing
Fundamentals of Remote SensingShah Naseer
949 vues24 diapositives
REMOTE SENSING par
REMOTE SENSINGREMOTE SENSING
REMOTE SENSINGKANNAN
33K vues50 diapositives
passive and active remote sensing systems, characteristics and operations par
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
2K vues20 diapositives
Remote Sensing par
Remote Sensing Remote Sensing
Remote Sensing Shah Naseer
362 vues48 diapositives

Contenu connexe

Tendances

Remote Sensing Vivek par
Remote Sensing VivekRemote Sensing Vivek
Remote Sensing Vivekvivek akkala
1.5K vues4 diapositives
Remote sensing par
Remote sensingRemote sensing
Remote sensingShayan Ahmad Yar
201 vues11 diapositives
Remote sensing par
Remote sensing Remote sensing
Remote sensing John Lanser
2.6K vues24 diapositives
Principles of remote sensing par
Principles of remote sensingPrinciples of remote sensing
Principles of remote sensingPramoda Raj
65.7K vues29 diapositives
Remote sensing and application by Nikhil Pakwanne par
Remote sensing and application by Nikhil PakwanneRemote sensing and application by Nikhil Pakwanne
Remote sensing and application by Nikhil PakwanneNIKHIL PAKWANNE
3.1K vues29 diapositives
Elements of remote sensing par
Elements of remote sensingElements of remote sensing
Elements of remote sensingAlbein Vivek
25.1K vues14 diapositives

Tendances(20)

Principles of remote sensing par Pramoda Raj
Principles of remote sensingPrinciples of remote sensing
Principles of remote sensing
Pramoda Raj65.7K vues
Remote sensing and application by Nikhil Pakwanne par NIKHIL PAKWANNE
Remote sensing and application by Nikhil PakwanneRemote sensing and application by Nikhil Pakwanne
Remote sensing and application by Nikhil Pakwanne
NIKHIL PAKWANNE3.1K vues
Elements of remote sensing par Albein Vivek
Elements of remote sensingElements of remote sensing
Elements of remote sensing
Albein Vivek25.1K vues
Principles of Remote Sensing par Ariful Islam
Principles of Remote Sensing Principles of Remote Sensing
Principles of Remote Sensing
Ariful Islam8.1K vues
Introduction to Remote Sensing- by Wankie Richman par RichmanWankie
Introduction to Remote Sensing- by Wankie RichmanIntroduction to Remote Sensing- by Wankie Richman
Introduction to Remote Sensing- by Wankie Richman
RichmanWankie538 vues
REMOTE SENSING par ijsrd.com
REMOTE SENSINGREMOTE SENSING
REMOTE SENSING
ijsrd.com228 vues
Remote Sensing - by IUT CEE'10 par rifatrahim
Remote Sensing - by IUT CEE'10Remote Sensing - by IUT CEE'10
Remote Sensing - by IUT CEE'10
rifatrahim1.2K vues
Remote sensing concept, history and principles par Ajay Singh Lodhi
Remote sensing  concept, history and principlesRemote sensing  concept, history and principles
Remote sensing concept, history and principles
Ajay Singh Lodhi1.5K vues
Iirs lecure notes for Remote sensing –An Overview of Decision Maker par Tushar Dholakia
Iirs lecure notes for Remote sensing –An Overview of Decision MakerIirs lecure notes for Remote sensing –An Overview of Decision Maker
Iirs lecure notes for Remote sensing –An Overview of Decision Maker
Tushar Dholakia27.1K vues
Remote sensing [compatibility mode] par Sumanta Das
Remote sensing [compatibility mode]Remote sensing [compatibility mode]
Remote sensing [compatibility mode]
Sumanta Das4.9K vues
Chapter 1 (Introduction to remote sensing) par Shankar Gangaju
Chapter 1 (Introduction to remote sensing)Chapter 1 (Introduction to remote sensing)
Chapter 1 (Introduction to remote sensing)
Shankar Gangaju8.6K vues
Surveying ii ajith sir class6 par SHAMJITH KM
Surveying ii ajith sir class6Surveying ii ajith sir class6
Surveying ii ajith sir class6
SHAMJITH KM525 vues

Similaire à Report

rsgis-unitii-160731062950.pdf par
rsgis-unitii-160731062950.pdfrsgis-unitii-160731062950.pdf
rsgis-unitii-160731062950.pdfBSuresh26
14 vues42 diapositives
Introduction to Remote Sensing par
Introduction to Remote SensingIntroduction to Remote Sensing
Introduction to Remote SensingMalla Reddy University
10.6K vues42 diapositives
Types of Remote Sensing.pdf par
Types of Remote Sensing.pdfTypes of Remote Sensing.pdf
Types of Remote Sensing.pdfUjjwalSubedi8
8 vues7 diapositives
A Brief Introduction to Remote Sensing Satellites par
A Brief Introduction to Remote Sensing Satellites A Brief Introduction to Remote Sensing Satellites
A Brief Introduction to Remote Sensing Satellites Alireza Rahimzadeganasl
8.7K vues46 diapositives
Remote sensing by Priyanshu kumar, 9608684800 par
Remote sensing by Priyanshu kumar, 9608684800Remote sensing by Priyanshu kumar, 9608684800
Remote sensing by Priyanshu kumar, 9608684800PRIYANSHU KUMAR
307 vues15 diapositives
Remote sensing - Sensors, Platforms and Satellite orbits par
Remote sensing - Sensors, Platforms and Satellite orbitsRemote sensing - Sensors, Platforms and Satellite orbits
Remote sensing - Sensors, Platforms and Satellite orbitsAjay Singh Lodhi
3.8K vues28 diapositives

Similaire à Report(20)

rsgis-unitii-160731062950.pdf par BSuresh26
rsgis-unitii-160731062950.pdfrsgis-unitii-160731062950.pdf
rsgis-unitii-160731062950.pdf
BSuresh2614 vues
Remote sensing by Priyanshu kumar, 9608684800 par PRIYANSHU KUMAR
Remote sensing by Priyanshu kumar, 9608684800Remote sensing by Priyanshu kumar, 9608684800
Remote sensing by Priyanshu kumar, 9608684800
PRIYANSHU KUMAR307 vues
Remote sensing - Sensors, Platforms and Satellite orbits par Ajay Singh Lodhi
Remote sensing - Sensors, Platforms and Satellite orbitsRemote sensing - Sensors, Platforms and Satellite orbits
Remote sensing - Sensors, Platforms and Satellite orbits
Ajay Singh Lodhi3.8K vues
REMOTE SENSING A VERY USEFUL TECHNOLOGY TO MANKIND par kaushikakumar
REMOTE SENSING A VERY USEFUL TECHNOLOGY TO MANKINDREMOTE SENSING A VERY USEFUL TECHNOLOGY TO MANKIND
REMOTE SENSING A VERY USEFUL TECHNOLOGY TO MANKIND
kaushikakumar2.2K vues
APPLICATION OF REMOTE SENSING AND GIS IN AGRICULTURE par LagnajeetRoy
APPLICATION OF REMOTE SENSING AND GIS IN AGRICULTUREAPPLICATION OF REMOTE SENSING AND GIS IN AGRICULTURE
APPLICATION OF REMOTE SENSING AND GIS IN AGRICULTURE
LagnajeetRoy1.9K vues
applicationsofremotesensingingeologicalaspects-170606133459.pdf par CIVIL48
applicationsofremotesensingingeologicalaspects-170606133459.pdfapplicationsofremotesensingingeologicalaspects-170606133459.pdf
applicationsofremotesensingingeologicalaspects-170606133459.pdf
CIVIL482 vues
Applications of remote sensing in geological aspects par Pramoda Raj
Applications of remote sensing in geological aspectsApplications of remote sensing in geological aspects
Applications of remote sensing in geological aspects
Pramoda Raj23.8K vues
Gis and remote sensings par Ghassan Hadi
Gis and remote sensingsGis and remote sensings
Gis and remote sensings
Ghassan Hadi1.8K vues
Remote Sensing: Meaning, Concept and Components | Geography par SrimantaKarak
Remote Sensing: Meaning, Concept and Components | GeographyRemote Sensing: Meaning, Concept and Components | Geography
Remote Sensing: Meaning, Concept and Components | Geography
SrimantaKarak249 vues

Plus de ALIN BABU

SECRY - Secure file storage on cloud using hybrid cryptography par
SECRY - Secure file storage on cloud using hybrid cryptographySECRY - Secure file storage on cloud using hybrid cryptography
SECRY - Secure file storage on cloud using hybrid cryptographyALIN BABU
2.1K vues34 diapositives
Project final report par
Project final reportProject final report
Project final reportALIN BABU
529 vues46 diapositives
Secry poster par
Secry posterSecry poster
Secry posterALIN BABU
239 vues1 diapositive
Secure Cloud Storage par
Secure Cloud StorageSecure Cloud Storage
Secure Cloud StorageALIN BABU
325 vues41 diapositives
Prediciting restaurant and popularity based on Yelp Dataset project report par
Prediciting restaurant and popularity based on Yelp Dataset  project reportPrediciting restaurant and popularity based on Yelp Dataset  project report
Prediciting restaurant and popularity based on Yelp Dataset project reportALIN BABU
91 vues6 diapositives
Prediciting restaurant and popularity based on Yelp Dataset - 2 par
Prediciting restaurant and popularity based on Yelp Dataset - 2Prediciting restaurant and popularity based on Yelp Dataset - 2
Prediciting restaurant and popularity based on Yelp Dataset - 2ALIN BABU
43 vues11 diapositives

Plus de ALIN BABU(9)

SECRY - Secure file storage on cloud using hybrid cryptography par ALIN BABU
SECRY - Secure file storage on cloud using hybrid cryptographySECRY - Secure file storage on cloud using hybrid cryptography
SECRY - Secure file storage on cloud using hybrid cryptography
ALIN BABU2.1K vues
Project final report par ALIN BABU
Project final reportProject final report
Project final report
ALIN BABU529 vues
Secure Cloud Storage par ALIN BABU
Secure Cloud StorageSecure Cloud Storage
Secure Cloud Storage
ALIN BABU325 vues
Prediciting restaurant and popularity based on Yelp Dataset project report par ALIN BABU
Prediciting restaurant and popularity based on Yelp Dataset  project reportPrediciting restaurant and popularity based on Yelp Dataset  project report
Prediciting restaurant and popularity based on Yelp Dataset project report
ALIN BABU91 vues
Prediciting restaurant and popularity based on Yelp Dataset - 2 par ALIN BABU
Prediciting restaurant and popularity based on Yelp Dataset - 2Prediciting restaurant and popularity based on Yelp Dataset - 2
Prediciting restaurant and popularity based on Yelp Dataset - 2
ALIN BABU43 vues
Prediciting restaurant and popularity based on Yelp Dataset - 1 par ALIN BABU
Prediciting restaurant and popularity based on Yelp Dataset - 1Prediciting restaurant and popularity based on Yelp Dataset - 1
Prediciting restaurant and popularity based on Yelp Dataset - 1
ALIN BABU30 vues
Secure cloud storage par ALIN BABU
Secure cloud storageSecure cloud storage
Secure cloud storage
ALIN BABU150 vues

Dernier

iSAQB Software Architecture Gathering 2023: How Process Orchestration Increas... par
iSAQB Software Architecture Gathering 2023: How Process Orchestration Increas...iSAQB Software Architecture Gathering 2023: How Process Orchestration Increas...
iSAQB Software Architecture Gathering 2023: How Process Orchestration Increas...Bernd Ruecker
50 vues69 diapositives
The Role of Patterns in the Era of Large Language Models par
The Role of Patterns in the Era of Large Language ModelsThe Role of Patterns in the Era of Large Language Models
The Role of Patterns in the Era of Large Language ModelsYunyao Li
80 vues65 diapositives
State of the Union - Rohit Yadav - Apache CloudStack par
State of the Union - Rohit Yadav - Apache CloudStackState of the Union - Rohit Yadav - Apache CloudStack
State of the Union - Rohit Yadav - Apache CloudStackShapeBlue
253 vues53 diapositives
CloudStack Object Storage - An Introduction - Vladimir Petrov - ShapeBlue par
CloudStack Object Storage - An Introduction - Vladimir Petrov - ShapeBlueCloudStack Object Storage - An Introduction - Vladimir Petrov - ShapeBlue
CloudStack Object Storage - An Introduction - Vladimir Petrov - ShapeBlueShapeBlue
93 vues15 diapositives
2FA and OAuth2 in CloudStack - Andrija Panić - ShapeBlue par
2FA and OAuth2 in CloudStack - Andrija Panić - ShapeBlue2FA and OAuth2 in CloudStack - Andrija Panić - ShapeBlue
2FA and OAuth2 in CloudStack - Andrija Panić - ShapeBlueShapeBlue
103 vues23 diapositives
CloudStack and GitOps at Enterprise Scale - Alex Dometrius, Rene Glover - AT&T par
CloudStack and GitOps at Enterprise Scale - Alex Dometrius, Rene Glover - AT&TCloudStack and GitOps at Enterprise Scale - Alex Dometrius, Rene Glover - AT&T
CloudStack and GitOps at Enterprise Scale - Alex Dometrius, Rene Glover - AT&TShapeBlue
112 vues34 diapositives

Dernier(20)

iSAQB Software Architecture Gathering 2023: How Process Orchestration Increas... par Bernd Ruecker
iSAQB Software Architecture Gathering 2023: How Process Orchestration Increas...iSAQB Software Architecture Gathering 2023: How Process Orchestration Increas...
iSAQB Software Architecture Gathering 2023: How Process Orchestration Increas...
Bernd Ruecker50 vues
The Role of Patterns in the Era of Large Language Models par Yunyao Li
The Role of Patterns in the Era of Large Language ModelsThe Role of Patterns in the Era of Large Language Models
The Role of Patterns in the Era of Large Language Models
Yunyao Li80 vues
State of the Union - Rohit Yadav - Apache CloudStack par ShapeBlue
State of the Union - Rohit Yadav - Apache CloudStackState of the Union - Rohit Yadav - Apache CloudStack
State of the Union - Rohit Yadav - Apache CloudStack
ShapeBlue253 vues
CloudStack Object Storage - An Introduction - Vladimir Petrov - ShapeBlue par ShapeBlue
CloudStack Object Storage - An Introduction - Vladimir Petrov - ShapeBlueCloudStack Object Storage - An Introduction - Vladimir Petrov - ShapeBlue
CloudStack Object Storage - An Introduction - Vladimir Petrov - ShapeBlue
ShapeBlue93 vues
2FA and OAuth2 in CloudStack - Andrija Panić - ShapeBlue par ShapeBlue
2FA and OAuth2 in CloudStack - Andrija Panić - ShapeBlue2FA and OAuth2 in CloudStack - Andrija Panić - ShapeBlue
2FA and OAuth2 in CloudStack - Andrija Panić - ShapeBlue
ShapeBlue103 vues
CloudStack and GitOps at Enterprise Scale - Alex Dometrius, Rene Glover - AT&T par ShapeBlue
CloudStack and GitOps at Enterprise Scale - Alex Dometrius, Rene Glover - AT&TCloudStack and GitOps at Enterprise Scale - Alex Dometrius, Rene Glover - AT&T
CloudStack and GitOps at Enterprise Scale - Alex Dometrius, Rene Glover - AT&T
ShapeBlue112 vues
CloudStack Managed User Data and Demo - Harikrishna Patnala - ShapeBlue par ShapeBlue
CloudStack Managed User Data and Demo - Harikrishna Patnala - ShapeBlueCloudStack Managed User Data and Demo - Harikrishna Patnala - ShapeBlue
CloudStack Managed User Data and Demo - Harikrishna Patnala - ShapeBlue
ShapeBlue94 vues
Data Integrity for Banking and Financial Services par Precisely
Data Integrity for Banking and Financial ServicesData Integrity for Banking and Financial Services
Data Integrity for Banking and Financial Services
Precisely78 vues
Updates on the LINSTOR Driver for CloudStack - Rene Peinthor - LINBIT par ShapeBlue
Updates on the LINSTOR Driver for CloudStack - Rene Peinthor - LINBITUpdates on the LINSTOR Driver for CloudStack - Rene Peinthor - LINBIT
Updates on the LINSTOR Driver for CloudStack - Rene Peinthor - LINBIT
ShapeBlue166 vues
Live Demo Showcase: Unveiling Dell PowerFlex’s IaaS Capabilities with Apache ... par ShapeBlue
Live Demo Showcase: Unveiling Dell PowerFlex’s IaaS Capabilities with Apache ...Live Demo Showcase: Unveiling Dell PowerFlex’s IaaS Capabilities with Apache ...
Live Demo Showcase: Unveiling Dell PowerFlex’s IaaS Capabilities with Apache ...
ShapeBlue85 vues
Automating a World-Class Technology Conference; Behind the Scenes of CiscoLive par Network Automation Forum
Automating a World-Class Technology Conference; Behind the Scenes of CiscoLiveAutomating a World-Class Technology Conference; Behind the Scenes of CiscoLive
Automating a World-Class Technology Conference; Behind the Scenes of CiscoLive
VNF Integration and Support in CloudStack - Wei Zhou - ShapeBlue par ShapeBlue
VNF Integration and Support in CloudStack - Wei Zhou - ShapeBlueVNF Integration and Support in CloudStack - Wei Zhou - ShapeBlue
VNF Integration and Support in CloudStack - Wei Zhou - ShapeBlue
ShapeBlue163 vues
Import Export Virtual Machine for KVM Hypervisor - Ayush Pandey - University ... par ShapeBlue
Import Export Virtual Machine for KVM Hypervisor - Ayush Pandey - University ...Import Export Virtual Machine for KVM Hypervisor - Ayush Pandey - University ...
Import Export Virtual Machine for KVM Hypervisor - Ayush Pandey - University ...
ShapeBlue79 vues
Digital Personal Data Protection (DPDP) Practical Approach For CISOs par Priyanka Aash
Digital Personal Data Protection (DPDP) Practical Approach For CISOsDigital Personal Data Protection (DPDP) Practical Approach For CISOs
Digital Personal Data Protection (DPDP) Practical Approach For CISOs
Priyanka Aash153 vues
Migrating VMware Infra to KVM Using CloudStack - Nicolas Vazquez - ShapeBlue par ShapeBlue
Migrating VMware Infra to KVM Using CloudStack - Nicolas Vazquez - ShapeBlueMigrating VMware Infra to KVM Using CloudStack - Nicolas Vazquez - ShapeBlue
Migrating VMware Infra to KVM Using CloudStack - Nicolas Vazquez - ShapeBlue
ShapeBlue176 vues
NTGapps NTG LowCode Platform par Mustafa Kuğu
NTGapps NTG LowCode Platform NTGapps NTG LowCode Platform
NTGapps NTG LowCode Platform
Mustafa Kuğu365 vues
Future of AR - Facebook Presentation par Rob McCarty
Future of AR - Facebook PresentationFuture of AR - Facebook Presentation
Future of AR - Facebook Presentation
Rob McCarty62 vues
GDG Cloud Southlake 28 Brad Taylor and Shawn Augenstein Old Problems in the N... par James Anderson
GDG Cloud Southlake 28 Brad Taylor and Shawn Augenstein Old Problems in the N...GDG Cloud Southlake 28 Brad Taylor and Shawn Augenstein Old Problems in the N...
GDG Cloud Southlake 28 Brad Taylor and Shawn Augenstein Old Problems in the N...
James Anderson156 vues

Report

  • 1. REPORT ON REMOTE SENSING Submitted for the course Life Skills PREPARED BY ALIN BABU ROLL NO:7 R3
  • 2. CONTENTS SL NO: TITLE PAGE NO: 1. INTRODUCTION 1 2. WHAT IS REMOTE SENSING? 1 3. TYPES OF REMOTE SENSING 2 3.1. Satellite Remote Sensing 3 3.2. Optical and Infrared Remote Sensing 4 3.3. Microwave Remote Sensing 5 4. APLLICATIONS OF REMOTE SENSING 6 5. IMPORTANCE OF REMOTE SENSING 7 6. ADVANTAGES OF REMOTE SENSING 7 7. DISADVANTAGES OF REMOTE SENSING 8 8. CONCLUSION 8 9. BIBLIOGRAPHY 9
  • 3. 1 1.INTRODUCTION Remote sensing is the art and science of recording, measuring, and analysing information about a phenomenon from a distance. Humans with the aid of their eyes, noses, and ears are constantly seeing, smelling, and hearing things from a distance as they move through an environment. Thus, humans are naturally designed to be remote sensors. In order to study large areas of the Earth’s surface geographers use devices known as remote sensors. These sensors are mounted on platforms such as helicopters, planes, and satellites that make it possible for the sensors to observe the Earth from above. In this report, I will mainly focus on basic meaning or technical definition of remote sensing, different types of remote sensing, applications, need for remote sensing, advantages and disadvantages. 2.WHAT IS REMOTE SENSING? Remote sensing is science of acquiring, processing, and interpreting images and related data that are obtained from ground based, air or space borne instruments that record the interaction between matter (target) and electromagnetic radiation. Remote sensing uses the electromagnetic spectrum to image the land, ocean, and atmosphere. In remote sensing, the sensors are not in direct contact with the objects or events being observed. The information needs a physical carrier to travel from the objects/events to the sensors through an intervening medium. The electromagnetic radiation is normally used as an
  • 4. 2 information carrier in remote sensing. The output of a remote sensing system is usually an image representing the scene being observed. A further step of image analysis and interpretation is required in order to extract useful information from the image. Fig:1 -Process of remote sensing by satellite by receiving signals 3.TYPES OF REMOTE SENSING There are mainly three types of remote sensing technique. They are  Satellite Remote Sensing  Optical and Infrared Remote Sensing  Microwave Remote Sensing
  • 5. 3 3.1. SATELLITE REMOTE SENSING In satellite, remote sensing of the earth, the sensors are looking through a layer of atmosphere separating the sensors from the Earth's surface being observed. Hence, it is essential to understand the effects of atmosphere on the electromagnetic radiation travelling from the Earth to the sensor through the atmosphere. The atmospheric constituents cause wavelength dependent absorption and scattering of radiation. These effects degrade the quality of images. Some of the atmospheric effects can be corrected before the images are subjected to further analysis and interpretation. Fig:2-Satellite remote sensor image A consequence of atmospheric absorption is that certain wavelength bands in the electromagnetic spectrum are strongly absorbed and effectively blocked by the atmosphere. The wavelength regions in the electromagnetic spectrum usable for remote sensing are determined by their ability to penetrate atmosphere. These regions are known as the atmospheric transmission windows. Remote sensing systems are often designed to operate within one or more of the atmospheric windows. These windows exist in the microwave region, some wavelength bands in the infrared, the entire visible region and part of the near ultraviolet
  • 6. 4 regions. Although the atmosphere is practically transparent to x-rays and gamma rays, these radiations are not normally used in remote sensing of the earth. 3.2. OPTICAL AND INFARRED REMOTE SENSING In Optical Remote Sensing, optical sensors detect solar radiation reflected or scattered from the earth, forming images resembling photographs taken by a camera high up in space. The wavelength region usually extends from the visible and near infrared (commonly abbreviated as VNIR) to the short-wave infrared (SWIR). Different materials such as water, soil, vegetation, buildings and roads reflect visible and infrared light in different ways. They have different colours and brightness when seen under the sun. The interpretation of optical images requires the knowledge of the spectral reflectance signatures of the various materials (natural or man-made) covering the surface of the earth. There are also infrared sensors measuring the thermal infrared radiation emitted from the earth, from which the land or sea surface temperature can be derived. Fig:3-Black and white image from optical remote sensor
  • 7. 5 3.3. MICROWAVE REMOTE SENSING There are some remote sensing satellites which carry passive or active microwave sensors. The active sensors emit pulses of microwave radiation to illuminate the areas to be imaged. Images of the earth surface are formed by measuring the microwave energy scattered by the ground or sea back to the sensors. These satellites carry their own "flashlight" emitting microwaves to illuminate their targets. The images can thus be acquired day and night. Microwaves have an additional advantage as they can penetrate clouds. Images can be acquired even when there are clouds covering the earth surface. A microwave imaging system which can produce high resolution image of the Earth is the synthetic aperture radar (SAR). The intensity in a SAR image depends on the amount of microwave backscattered by the target and received by the SAR antenna. Since the physical mechanisms responsible for this backscatter is different for microwave, compared to visible/infrared radiation, the interpretation of SAR images requires the knowledge of how microwaves interact with the targets. Fig:4-Process of microwave remote sensing
  • 8. 6 Fig:5-Microwave remote sensor image of Death Valley, California and surrounding mountains. APLLICATIONS OF REMOTE SENSING  Laser and radar altimeters on satellites have provided a wide range of data. By measuring the bulges of water caused by gravity, they map features on the seafloor to a resolution of a mile or so. By measuring the height and wavelength of ocean waves, the altimeters measure wind speeds and direction, and surface ocean currents and directions.  Ultrasound (acoustic) and radar tide gauges’ measure sea level, tides and wave direction in coastal and offshore tide gauges.  Light detection and ranging (LIDAR) is well known in examples of weapon ranging, laser illuminated homing of projectiles. LIDAR is used to detect and measure the concentration of various chemicals in the atmosphere, while airborne LIDAR can be used to measure heights of objects and features on the ground more accurately than with radar technology. Vegetation remote sensing is a principal application of LIDAR.
  • 9. 7  Radiometers and photometers are the most common instrument in use, collecting reflected and emitted radiation in a wide range of frequencies. The most common are visible and infrared sensors, followed by microwave, gamma ray and rarely, ultraviolet.  Stereographic pairs of aerial photographs have often been used to make topographic maps by imagery and terrain analysts in trafficability and highway departments for potential routes, in addition to modelling terrestrial habitat features.  Surface Temperature: Sea or lake surface temperature (SST or LST) is derived from satellites orbiting the earth. One such useful device is NOAA's (National Oceanographic and Atmospheric Administration) AVHRR or Advanced Very High Resolution Radiometer. IMPORTANCE OF REMOTE SENSING  Remote sensing makes it possible to collect data on dangerous or inaccessible areas.  Remote sensing provides real time updates, and does not require active human assistance (i.e. you can collect data at any time, at any frequency, as long as the equipment allows it).  Remote sensing can detect things that are not normally present in the visible spectrum for example, temperature, or by detecting landforms underneath the surface of the ground or ocean.  Remote sensing can scan large areas of land by satellite much more quickly than a ground survey. ADVANTAGES OF REMOTE SENSING  Provides data of large areas  Provides data of very remote and inaccessible regions
  • 10. 8  Able to obtain imagery of any area over a continuous period of time through which the any anthropogenic or natural changes in the landscape can be analysed  Relatively inexpensive when compared to employing a team of surveyors  Easy and rapid collection of data  Rapid production of maps for interpretation DISADVANTAGES OF REMOTE SENSING  The interpretation of imagery requires a certain skill level  Needs cross verification with ground (field) survey data  Data from multiple sources may create confusion  Objects can be misclassified or confused  Distortions may occur in an image due to the relative motion of sensor and source CONCLUSION Remote sensing is a technology with lot of applications. The emerging of this technology help us to find earths image from a satellite. This technology is used to find the images of other planets. The improvement of this technology helps the space scientists, military for monitoring places. As remote sensing refers to the activities of observing/perceiving objects or events at faraway places, the development of this technology will also help the agricultural field, forest mapping and finding soil erosion. Thus, remote sensing is indeed a good technology with many applications.
  • 11. 9 BIBLIOGRAPHY  www.google.com  www.studymafia.org  www.wikipedia.com  www.crisp.nus.edu.sg/~research/tutorial/intro.htm