China - Heilongjiang

Project Overview

Crop identification and Crop Area Estimation

  • Support vector machine, Decision tree, Object-oriented method
  • Multi-configuration SAR data
  • Integration of Optical and SAR data

Crop Condition/Stress

  • Crop Growing Conditions Over the Growing Season
  • NDVI, NDWI, Vegetation condition index, temperature condition index, crop water stress index, etc.

Estimation of Biophysical Variables

  • FAPAR, LAI-Radiation transfer model

Yield Prediction and Forecasting

  • Biomass-modified CASA model
  • Harvest index

Crop Residue Cover and Tillage Mapping

  • Crop residue cover
  • Tillage-classification

Phonological Events

  • NDVI threshold method

The mapping resolution is 30 metres.

Timeliness (with regards to growing season): in 1 – 2 months.

The current project phase is research and operational pilot.

©2015 Joint Experiment for Crop Assessment and Monitoring
© HER MAJESTY THE QUEEN IN RIGHT OF CANADA SA MAJESTE LA REINE DU CHEF DU CANADA (2015)