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Msr apyouth
1. Applications of Geospatial
Systems and Green Economy
MSR Murthy
MENRIS
International Centre for Integrated Mountain Development
Kathmandu, Nepal
2. Geospatial Systems - Need
• Biodiversity decline (1970 and 2008) Spatial and Temporal Scales – Earth Processes
– 30 per cent globally
105
– 60 per cent in the tropics Floods
cyclone
Snows
• Demand on natural resources 104
Meteorology
rivers
Meteorology Ground
– Doubled since 1966 water O3 hole
Regional pollution
• Ecological footprint 103 air pollution/
Submergence
global warming
Nutrient cycles
– Equivalent of 1.5 planet Pollution - River migration
102 Sinks/sources, Land
• Footprint of High-income countries Oil slicks
Land
conversion
Conversion
Local (eg.mining)
– Five times greater than LIC. 10 Air pollution
• Areas of high biodiversity
– Provide important ecosystem services Days Months Years Decades
– 60% population lives
(Living Planet Report, 2012)
Issues are spatial in nature and require spatial tools and
spatial thinking with time as another dimension
3. Convergence of Geospatial
Technologies and Innovations
Breaking the traditional
barriers – organization, Remote
professional domain sensing /
and geographic borders Database
GIS / 3D
Redefining how we work Visualization
Internet
and share information
from local to global Geospatial
scales Solutions
Social
Building communities Media & Cloud
Crowd computing
and networks on
Sourcing
common issues Mobile
Devices
New opportunities for
collaboration
6. An Eye in the SKY
WHAT IS REMOTE SENSING ? INFORMATION?
CAN WE DO WITH THE
OBTAINING INFORMATIONAND MANAGEMENT OF EARTH’S NATURAL RESOURCES
PERIODIC MONITORING ABOUT AN OBJECT/SURFACE WITHOUT ACTUALLY BEING
DEVELOPMENTAL PLANNING
IN CONTACT WITH IT.
DISASTER MAPPING AND ASSESSMENT
ENVIRONMENT STUDIES
HOW IS THIS DONE?
DATA RECEPTION FROM REMOTE SENSING
SATELLITES
PRE-PROCESSING AND CORRECTION OF DATA
ANALYSIS AND INTREPRETATION OF THIS
DATA TO DERIVE USEFUL INFORMATION
7. Multi-resolution satellite datasets for
deriving information across the scales
AWiFS LISSIII QB-MS
QB-MS ZOOM
24M
QB-MS – Multispectral 4M
56M data of Quickbird satellite
Shown are the series of images using various
sensors in multispectral and panchromatic modes
8. Multi-resolution satellite datasets for
deriving information across the scales ~ 1 : 5000
PANCHROMATIC
data for the
b same window at
60 cm resolution
a
N
QB-PAN
a
b
Very high resolution imaging
for vegetation systems
9. Temporal Variations of NDVI – Crop
March 2004
January 2004
April 2004
February2003
December 2004
10. IKONOS PAN AND MS FUSED DATA SHOWING PLANTATION CROPS
IN PARTS OF INDIA.
OILPALM CASHEW
CASHEW
Rice
COCONUT
Rice
Facilitates assessment of Horticultural crops at cadastral levels
11. Geographic Information System
GIS enables
• Prepare data in a domain with
geographic coordinates
• Relate, model and analyse data
of multiple information
• Produce maps of different
information
• Linkage and port data into
Internet Web GIS
12. Devpl. projects
High Resolution Satellite Data for Initial Environment Assessment
PROPOSED HYDRO-POWER SITE - Duimukh, Arunachal Pradesh Forest
High
Dense Forest Medium
Dense Forest
HYDRO POWER SITE
EVALUATION
Agriculture
• Physical &
environmental Setting
of Hydro-power Site
• FRL Submergence Area
Analysis
• EIA Studies
• Infrastructural Planning
Settlements
• Rehabilitation &
Relocation Studies
IRS 1C PAN +LISS III merged satellite image of 6th November 2001 • Inputs for Ranking &
PFR Studies
13. Inter annual snow cover trends
in Bhutan using MODIS data
Average snow
cover area of
Bhutan(2002-2010)
: 9030 sq.km, 2.55
% of land area
SCA trend for
Bhutan for the
period was found
to decrease (- 3.27
%)
Decadal Trends in snow depletion
15. Land cover change
Forest Change Proneness Forest fire
Assessment - Methodology
Forest Change
Patch forest proneness map in Population density
20x20 Km grid
Perforated forest Climate variability
Core forest Settlement to forest dist.
19. ANOMALY (Z Score)
Monitoring ongoing Rice Crop Worst than normal
in Koshi Basin of Nepal Normal (stable)
Better than normal
Anomaly against 10 years average
11 July 2012 27 July 2012
12 August 2012
28 August 2012
21. Crowdsourcing
Crowdsourcing is the act of outsourcing tasks, traditionally
performed by an employee or contractor, to an undefined,
large group of people or community (a “crowd”), through an
open call.
27. Integrated Distributed GIS Resources
– Field Explorations
. . . GIS on the web
will provide many
additional
possibilities
Models
Maps
• Authoring
• Publishing
Metadata
web • Sharing
• Integrating
GeoData
Sets
Peer-to-Peer GIS
. . . Leveraging Geospatial Knowledge
Data Models
. . . Making Virtual Collaborations Possible
28. Geospatial technology
Application in Green Economy Sectors
S.NO Parameter Proven Potential
1 Forest Management 75%
2 Agriculture Management 75%
3 Water Management 75%
4 Urban and Green building 60%
5 Bioenergy 50%
6 Solar Manufacturing 25%
7 Wind Power 25%
8 Solid waste and recycling 10%
32. Asia Pacific Region
Fertile Challenge
Youth Revolution
Fertile
60% World
tropical
Youth
low carbon
200 M
economies
60% 3 M
Geospatial Mobile
Applications systems
33. Youth the bricks of future Asia Pacific region
thanks for kind attention
34. Geospatial Applications
• Forest carbon assessment and monitoring
• Target species monitoring
• Define wildlife areas or corridors for Conservation
• Efficient farming practices planning and monitoring
• Surface water modeling - Availability
• Urban planning applications - Optimal land use planning
• Best locations for renewable energy sites(Solar or wind)
• Best routing to reduce pollution or energy consumption.
• Dust and Cloud detection
• Eco tourism planning
