China-Shandong

Overview

Crop identification and Crop Area Estimation

  • Support vector machine, Decision tree
  • 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
  • chlorophyll content-Radiation transfer model/regression analysis

Yield Prediction and Forecasting

  • Biomass-modified CASA model
  • Harvest index

Crop Residue

  • Crop residue biomass estimation

Phonological Events

  • Crop mature date prediction
  • 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

Mapping Agricultural Areas

Operational Implementation Plan

Scale

Estimating Crop Area

Operational Implementation Plan

Crop type field boundary

Field size measurement

GPS record using GIS system

Estimation of Biophysical Variables

Operational Implementation Plan

All the variables were measured once a month from April to September except for the following. Yield, harvest index and crop type mapping were measured once per growing season.The biggest challenge is weather condition during the field observations. It is sunny in the morning while cloudy at noon; this may influence measurements of field spectral and FAPAR.The shift from growing cereals to cash crops makes the field observation at all the same fields as the previous year impossible. We had to slightly change the selected fields during the field campaign. Plans for the Next Growing Season:In 2016 and the future, we will measure the same variables as in 2015.

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

Forecasting Agricultural Variables

Operational Implementation Plan

Agricultural Variables (large scale)
  • Yield

Site Description

Landscape TopographyPlain
Typical Field Size2000-8000 m2
Climatic ZoneTemperate, cool
Crop Details

Winter Wheat (Normal):
Calendar: October - June
Typical Rotation: Winter Wheat and Maize

Maize (Normal):
Calendar: June - September
Typical Rotation: Winter Wheat and Maize

Soil Type & Texture

Inorganic:

  • Loam
  • Silt Loam
  • Clay Loam
  • Silty Clay Loam
  • Silt
  • Silty Clay
  • Clay
Soil Drainage Class
    Irrigation Infrastructure
    • Surface irrigation
    Other Site Specifications

    Annual mean precipitation is about 582 mm, concentrated from late June to September.

    Alluvial soil

    In Situ Observations

    Crop Biochemical Parameter

    • Crop Type(s):
    • Collection Protocol:

      None

    • Frequency: Once every crop season

    Shandong-harvest

    • Crop Type(s):
    • Collection Protocol:

      Calculated by yield and AGB

    • Frequency:

    Density/canopy height

    • Crop Type(s):
    • Collection Protocol:

      Tape measured

    • Frequency:

    Crop Biophysical Parameter

    • Crop Type(s):
    • Collection Protocol:

      None

    • Frequency: Monthly

    Fractional vegetation cover

    • Crop Type(s):
    • Collection Protocol:

      Fish-eye camera

    • Frequency:

    Crop Type

    • Crop Type(s):
    • Collection Protocol:

      None

    • Frequency: Once every crop season

    Crop calendar

    • Crop Type(s):
    • Collection Protocol:

      Visual interpretation

    • Frequency:

    Crop type mapping

    • Crop Type(s):
    • Collection Protocol:

      Field interpretation

    • Frequency:

    Crop type proportion

    • Crop Type(s):
    • Collection Protocol:

      GVG instrument

    • Frequency:

    Irrigation

    • Crop Type(s):
    • Collection Protocol:

      Interview and record

    • Frequency:

    Dry amount of above ground biomass, yield

    • Crop Type(s):
    • Collection Protocol:

      Oven dried and weight

    • Frequency:

    EO Data

    Optical Data Requirements

  • Approximate Start Date of Acquisition: 01/03
  • Approximate End Date of Acquisition: 15/10
  • Spatial resolution: Medium resolution (20-60m)High resolution (5-20m)
  • temporal_frequency: BiweeklyMonthly
  • Level of Expertise: Intermediate
  • Latency of Data Delivery:
  • Challanges:
  • SAR Data Requirements

  • Approximate Start Date of Acquisition: 01/04
  • Approximate End Date of Acquisition: 15/10
  • Spatial resolution: Medium resolution (20-60m)High resolution (5-20m)
  • temporal_frequency: Monthly
  • Frequency: XCL
  • Incidence Angle: Any
  • Polarisation: VVCross (HV, VH)Circular polarization
  • Level of Processing: Level 2
  • Orbit: Any
  • Level of Expertise: Intermediate
  • Latency of Data Delivery: 2-5 days
  • Challanges:
  • 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