Transcript Application Of Remote Sensing & GIS for Effective

Application Of Remote Sensing & GIS
for Effective Agricultural
Management
By
Dr Jibanananda Roy
Consultant, SkyMap Global
Introduction
Agricultural Practices And Effect On Man And Environment
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Unplanned Agricultural Practices
Overuse of Natural Resources
Unscientific Use of Chemicals & Fertilizers
Man made and Natural Changes in Environment & Ecology
Biodiversity
Introduction
Agricultural Practices And Effect On Man And Environment
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Degradation of Land and Environment
Reduction in Crop Yield
Environmental Pollution
Human Health Hazard
Natural Disasters
REQUIREMENT
Sustainable Agricultural Management Plan
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Region Specific Management Plan
Effective Use of Technology
Long Term Management Plan
Awareness Among Stakeholders
Analysis Of Social, Political, Infrastructural And Financial Issues
Preservation Of Natural System
TECHNOLOGY
Availability And Use
• Satellite Remote Sensing Data
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Multispectral & Hyperspectral
SAR
Digital Terrain Model
Derived Data
Weather – Historical And Predictive
Software And Systems
Periodic Monitoring And Corrective Action
Human Experts
OBJECTIVE
• Propose methodologies for continuous crop health
monitoring and yield prediction using satellite images, field
survey data and ancillary information
• Analysis of historical data and field survey using Remote
Sensing to develop a model for crop yield prediction.
• Productivity analysis of different crops with respect to other
similar areas or historical data.
• Identification of parameters for productivity.
• Agricultural zoning.
• A sustainable development plan.
Data Analysis
• During Last 30 Years Several Effective Models Have Been
Developed And Implemented
• Models Are Case Specfic – Regional, Agriculture Type
• Direct Models
• Integration Of Field Survey
• Issues Of All Stakeholders
• Multi-criteria Decision Support System
SCALE
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Large Contiguous Area With Similar Crop
Mixed Cultivation – Orchard, Vegetables, Horticulture
Single Crop Vs Multiple Crops
Periodicity Of Crop Yield
Standard Models
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Normalized Difference Vegetation Index (NDVI)
Other Band Ratios
Leaf Area Index (LAI)
Spectral Signature – Crop Health & Crop Yield
Band Combinations
Fusion Of Multiple Satellite Data
Advanced Models
• Models Based On Narrow Band Hyperspectral Satellite Data
• Use Of Red Edge Band With NIR
– Crop Type Delineation
– Crop Health Monitoring
– Crop Yield Estimation
Use Of SAR Data
• Crop Type Analysis Based On Texture
• Estimation Of Soil Moisture
– Crop Type Delineation
– Crop Health Monitoring
– Crop Yield Estimation
Mixed Cultivation
• Smaller Area With Different Type Of Crops
• High Crop Yield At Specific Areas
• Low Yield In Several Areas
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Individual Plot Level Management Plan
No Macroscopic Plan
Bad Water Management
High Pollution
Land Degradation, Soil Erosion
Bad Disaster Management During Flood and Other Natural Calamities
Ineffective Use Of Satellite Data
Awareness
Issues With Satellite Data
• Not Viable For Small Land Holdings And Mixed Cultivation
• May Not Be Effective For Pest Attack Information Due To
Inherent Delay In Providing Data
• Limitation Of Predictive Model Development
• Data Degradation Due To Atmospheric Disturbances
Effective Use Of Satellite Data
• Analysis Of Large Area
• Model Development With Field Collection Of Spectral
Parameters
• Effective Use Of SAR Data
• Fusion Or Mixed Mode Analysis Of Coarse And High
Resolution Data
• Continuous Data Collection, Analysis and Notification
• Refinement Of Model Based On Past Data
• Infrastructure Development Plan for Storage And Delivery
CONCLUSION
• Agricultural Zoning Based On Natural Factors
• Satellite Data Can Be Effectively Used By Analyzing Large
Agricultural Zone.
• Field Survey For Model Development By Analyzing Spectral
Characteristics.
• Development Of Better Water Management Plan
• Continuous Monitoring And Model Refinement
• Development Of Rule Based System Analyzing Multiple
Factors Using GIS and Rule Based Software.
THANK YOU