China-Heilongjiang

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.

Project Objectives

Estimating Crop Conditions

Operational Implementation Plan

Crop Conditions
  • Drought
  • Biological Stress

Measuring Phenological Events

Phenological Events
  • Seeding
  • Seedling
  • Vegetative Growth
  • Flowering
  • Fruit Development
  • Maturity
  • Harvest

Estimation of Biophysical Variables

Operational Implementation Plan

Biophysical Variables
  • Vegetation Indices (NDVI, EVI, SAVI, etc.)
  • fAPAR (Fraction of Absorbed Photosynthetically Active Radiation)
  • LAI (Leaf Area Index)
  • Biomass
  • Residue and Tillage mapping

Forecasting Agricultural Variables

Operational Implementation Plan

Agricultural Variables (large scale)
  • Yield

Site Description

Landscape TopographyPlain
Typical Field Size5 to 20 ha.
Climatic ZoneTropics, warm
Crop Details

Spring Wheat (Normal):
Calendar: April - July

Soya beans (Normal):
Calendar: May - September

Maize (Normal):
Calendar: May - October

Soil Type & Texture

Inorganic:

  • Loam
  • Silt Loam
  • Clay Loam
  • Silty Clay Loam
Soil Drainage Class
  • submersion of basins
Irrigation Infrastructure
  • No irrigation (precipitation)
Other Site Specifications

In Situ Observations

crop residue cover

  • Crop Type(s):
  • Collection Protocol:

    GPS

  • Frequency: one each crop year, right after the harvest of crops

FPAR

  • Crop Type(s):
  • Collection Protocol:

    GPS

  • Frequency: About twice each crop year

LAI

  • Crop Type(s):
  • Collection Protocol:

    GPS

  • Frequency: Twice each crop year

Crop type

  • Crop Type(s):
  • Collection Protocol:

    GPS

  • Frequency: Once each season

Soil nutrition status

  • Crop Type(s):
  • Collection Protocol:

    GPS

  • Frequency: Once each crop year, before the seeding

EO Data

Optical Data Requirements

SAR Data Requirements

Passive Microwave Data Requirements

Thermal Data Requirements

Results

Documents and Files

Links to paper

Project Reports

Study Team

Team Leader

  • Name: Wu Bingfang
  • Affiliation: Institute of Remote Sensing Applications-IRSA
  • Affiliation Webpage: http://english.irsa.cas.cn/new/
  • Position:
  • Email: wubf@irsa.ac.cn
  • Personal Webpage:
  • Phone number:
  • Postal Address:
  • Other Team Members

  • Name: Miao Zhang
  • Affiliation: Institute of Remote Sensing and Digital Earth (RADI)
  • Affiliation Webpage: http://english.radi.cas.cn/
  • Position:
  • Email: zhangmiao@radi.ac.cn
  • Personal Webpage:
  • Role: Co-Lead