msr apyouth
TRANSCRIPT
International Centre for Integrated Mountain Development
Kathmandu, Nepal
Applications of Geospatial
Systems and Green Economy
MSR Murthy
MENRIS
Geospatial Systems - Need
• Biodiversity decline (1970 and 2008) – 30 per cent globally
– 60 per cent in the tropics
• Demand on natural resources – Doubled since 1966
• Ecological footprint – Equivalent of 1.5 planet
• Footprint of High-income countries
– Five times greater than LIC.
• Areas of high biodiversity
– Provide important ecosystem services
– 60% population lives
(Living Planet Report, 2012)
Issues are spatial in nature and require spatial tools and
spatial thinking with time as another dimension
Snows rivers
Meteorology
Floods
cyclone Meteorology
Regional air pollution/
Submergence
Oil slicks Local
Air pollution
Pollution -
Sinks/sources, Land
conversion
Ground water
pollution
Land
Conversion
(eg.mining)
O3 hole
global warming
Nutrient cycles
River migration
Days Months Years Decades
10
102
103
104
105
Spatial and Temporal Scales – Earth Processes
Convergence of Geospatial
Technologies and Innovations
Geospatial Solutions
Cloud computing
Internet
Remote sensing / Database
GIS / 3D Visualization
Social Media &
Crowd Sourcing
Mobile Devices
Breaking the traditional
barriers – organization,
professional domain
and geographic borders
Redefining how we work
and share information
from local to global
scales
Building communities
and networks on
common issues
New opportunities for
collaboration
Locate Identify
Assess
Linkage Manage
Monitor
Geospatial Systems – Green Economy
WHAT IS REMOTE SENSING ?
OBTAINING INFORMATION ABOUT AN OBJECT/SURFACE WITHOUT ACTUALLY BEING
IN CONTACT WITH IT.
WHAT CAN WE DO WITH THE INFORMATION?
PERIODIC MONITORING AND MANAGEMENT OF EARTH’S NATURAL RESOURCES
DEVELOPMENTAL PLANNING
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
An Eye in the SKY
AWiFS
Multi-resolution satellite datasets for
deriving information across the scales
LISSIII QB-MS
QB-MS ZOOM
Shown are the series of images using various
sensors in multispectral and panchromatic modes
QB-MS – Multispectral
data of Quickbird satellite 4M
24M
56M
b
QB-PAN
N
a
a
b
PANCHROMATIC
data for the
same window at
60 cm resolution
~ 1 : 5000
Multi-resolution satellite datasets for
deriving information across the scales
Very high resolution imaging
for vegetation systems
December 2003 January 2004 February 2004 March 2004 April 2004
Temporal Variations of NDVI – Crop
IKONOS PAN AND MS FUSED DATA SHOWING PLANTATION CROPS IN PARTS OF INDIA.
OILPALM CASHEW
Rice
CASHEW
Rice
COCONUT
Facilitates assessment of Horticultural crops at cadastral levels
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
Geographic Information System
IRS 1C PAN +LISS III merged satellite image of 6th November 2001
PROPOSED HYDRO-POWER SITE - Duimukh, Arunachal Pradesh
High Resolution Satellite Data for Initial Environment Assessment
Agriculture
Settlements
Medium
Dense Forest
High
Dense Forest
HYDRO POWER SITE
EVALUATION
• Physical &
environmental Setting
of Hydro-power Site
• FRL Submergence Area
Analysis
• EIA Studies
• Infrastructural Planning
• Rehabilitation &
Relocation Studies
• Inputs for Ranking &
PFR Studies
Devpl. projects
Forest
Decadal Trends in snow depletion
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
%)
Inter annual snow cover trends
in Bhutan using MODIS data
Wildlife Corridor Assessment
Brahamaputra Salwin Landscape
Forest fire
Population density
Climate variability
Settlement to forest dist.
Land cover change
Patch forest
Perforated forest
Core forest
Forest Change
proneness map in
20x20 Km grid
Forest Change Proneness
Assessment - Methodology
Forest change proneness area
in HKH
2002 GeoEye-1 (0.5m Spatial Resolution) 2009 GeoEye-1 (0.5m Spatial Resolution)
Pragati , Janapragati and NibuwaterCommunity Forest
Pragati , Janapragati and NibuwaterCommunity Forest
11 July 2012 27 July 2012
12 August 2012 28 August 2012
Monitoring ongoing Rice Crop
in Koshi Basin of Nepal Normal (stable)
Better than normal
Worst than normal
ANOMALY (Z Score)
Anomaly against 10 years average
Impact assessment Seti Floods
Monitoring – from space
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.
The Great Himalayan Trail
3D Models - Visualisation
P3DM at Bumthang, Bhutan
web
. . . Leveraging Geospatial Knowledge
Maps Models
GeoData
Sets
Peer-to-Peer GIS
Metadata
Data Models
. . . GIS on the web
will provide many
additional
possibilities
• Authoring
• Publishing
• Sharing
• Integrating
. . . Making Virtual Collaborations Possible
Integrated Distributed GIS Resources
– Field Explorations
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%
Green Economy
A Complex Web
Green Economy – Green Jobs
(UNEP,2012)
Global Foot Print Analysis
Youth Revolution Youth Revolution
60% World
Youth
200 M
60% World
Youth
200 M
Fertile
tropical
low carbon
economies
Fertile
tropical
low carbon
economies
60%
Geospatial
Applications
60%
Geospatial
Applications
3 M
Mobile
systems
3 M
Mobile
systems
Asia Pacific Region
Fertile Challenge
Youth the bricks of future Asia Pacific region thanks for kind attention
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