Applications of GeospatialSystems and Green EconomyMSR MurthyMENRISInternational Centre for Integrated Mountain DevelopmentKathmandu, Nepal
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
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
Geospatial Systems – Green Economy Locate Identify Monitor Assess Manage Linkage
An Eye in the SKYWHAT IS REMOTE SENSING ? INFORMATION? CAN WE DO WITH THEOBTAINING INFORMATIONAND MANAGEMENT OF EARTH’S NATURAL RESOURCES PERIODIC MONITORING ABOUT AN OBJECT/SURFACE WITHOUT ACTUALLY BEING DEVELOPMENTAL PLANNINGIN CONTACT WITH IT. DISASTER MAPPING AND ASSESSMENT ENVIRONMENT STUDIESHOW 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
Multi-resolution satellite datasets forderiving 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
Multi-resolution satellite datasets forderiving information across the scales ~ 1 : 5000 PANCHROMATIC data for the b same window at 60 cm resolution aN QB-PAN a b Very high resolution imaging for vegetation systems
Temporal Variations of NDVI – Crop March 2004 January 2004 April 2004 February2003 December 2004
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
Geographic Information SystemGIS 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
Devpl. projectsHigh 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 StudiesIRS 1C PAN +LISS III merged satellite image of 6th November 2001 • Inputs for Ranking & PFR Studies
Inter annual snow cover trendsin 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
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.
Pragati , Janapragati and NibuwaterCommunity Forest
ANOMALY (Z Score)Monitoring ongoing Rice Crop Worst than normalin Koshi Basin of Nepal Normal (stable) Better than normalAnomaly against 10 years average 11 July 2012 27 July 2012 12 August 2012 28 August 2012
Monitoring – from space Impact assessment Seti Floods
CrowdsourcingCrowdsourcing is the act of outsourcing tasks, traditionallyperformed by an employee or contractor, to an undefined,large group of people or community (a “crowd”), through anopen call.
Integrated Distributed GIS Resources – Field Explorations . . . GIS on the web will provide many additional possibilities Models Maps • Authoring • Publishing Metadata web • Sharing • Integrating GeoData SetsPeer-to-Peer GIS . . . Leveraging Geospatial Knowledge Data Models . . . Making Virtual Collaborations Possible
Geospatial technologyApplication 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%
Asia Pacific Region Fertile Challenge Youth Revolution Fertile 60% World tropical Youth low carbon 200 M economies 60% 3 M Geospatial Mobile Applications systems
Youth the bricks of future Asia Pacific regionthanks 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
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