Project Objectives

Mapping Agricultural Areas

Operational Implementation Plan

Crop identification and Crop Area Estimation Object-based Image Analysis and The Support Vector Machine (SVM) classification method The fusion of SAR and Optical satellite data Statistical analysis


Estimating Crop Area

Operational Implementation Plan

Field size measurement

Estimating Crop Conditions

Operational Implementation Plan

Crop Conditions
  • Too wet to be seeded
  • Drought
  • Failure after germination
  • Biological Stress

Estimation of Biophysical Variables

Operational Implementation Plan

Biophysical Variables
  • Vegetation Indices (NDVI, EVI, SAVI, etc.)
  • LAI (Leaf Area Index)

Forecasting Agricultural Variables

Operational Implementation Plan

Agricultural Variables (large scale)
  • Yield

Site Description

Landscape Topography
Typical Field SizeThe size of the rice plots is 5 to 15 hectares
Climatic ZoneTropics, warm
Major Crops and Calendars

Vegetables and melons (Normal):
Calendar: March - June

Sugar cane (Normal):
Calendar: March - June

Rice (Late):
Calendar: August - November

Rice (Normal):
Calendar: March - July
Typical Rotation: The predominant crop in the study area is rice, with some sugarcane and vegetables

Soil Type & Texture


  • Sand
  • Loamy Sand
  • Sandy Loam
  • Sandy Clay Loam
  • Sandy Clay
Soil Drainage Class
    Irrigation Infrastructure
    • Surface irrigation
    Other Site Details

    In Situ Observations

    EO Data

    Optical Data Requirements

    SAR Data Requirements

    Passive Microwave Data Requirements

    Thermal Data Requirements


    Documents and Files

    Links to paper

    Project Reports

    Study Team

    Team Leader

  • Name: Wu Bingfang
  • Affiliation: Institute of Remote Sensing Applications-IRSA
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  • Other Team Members

  • Name: Miao Zhang
  • Affiliation: Institute of Remote Sensing and Digital Earth (RADI)
  • Affiliation Webpage:
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  • Role: Co-Lead