China-Jiangsu

Overview

Project Objectives

Estimating Crop Area

Operational Implementation Plan

Crop identification and Crop Area Estimation: Identify rice fields with its polarimetric responses and scattering mechanisms and estimate the rice acreage accurately.

Field size measurement

Estimating Crop Conditions

Operational Implementation Plan

Project Overview Implementation Plans Site Description Specific Project Objectives & Deliverables In Situ Observations EO Data Requirements Project Reports Study Team View/Print All JECAM – Sidebar Image Project Overview Crop identification and Crop Area Estimation: Identify rice fields with its polarimetric responses and scattering mechanisms and estimate the rice acreage accurately. Crop Condition/Stress: Rice phenological stage retrieval, providing timely and accurate information about rice growth condition, in order to plan cultivation practices (irrigation, fertilization, etc.).

Crop Conditions

    Measuring Phenological Events

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

    Forecasting Agricultural Variables

    Operational Implementation Plan

    Yield Prediction and Forecasting: A quantitative relationship between polarization variables and rice key parameters (biomass, LAI) will be established. Then, a crop model, taking into account the variation of the time – domain and environmental stress, will be employed for rice yield prediction.

    Agricultural Variables (large scale)
    • Yield

    Site Description

    Landscape TopographyPlain
    Typical Field Size
    Climatic ZoneSubtropics, cold
    Crop Details

    Rice (Normal):
    Calendar: June - October

    Soil Type & Texture

    Inorganic:

    • Clay
    Soil Drainage Class
      Irrigation Infrastructure
        Other Site Specifications

        The terrain is flat, with the average altitude mostly less than 10m. The climate belongs to the transition region between the subtropical and the temperate zone, with four distinct seasons. The annual average temperature of the test site is about 13 to 16?. The average precipitation is about 800 to 1200 mm every year, and more than half of the precipitation occurs from June to September. The sunshine hours can be up to 2400 every year. The soil type of this region is mostly yellow brown clay, which is more favorable for rice plant development. The main paddy varieties in this area are hybrid and japonica rice. There is one rice crop a year, with the growth cycle about 150 days, from early June to late October or early November.

        There are two rice planting methods in the test site, transplanting and direct-seedling, which will produce two different rice field structures (Fig 2(a) (b)) and have a certain impact on rice yields. The size of rice field parcels is 1700m2 or so. In this study, forty-two sample plots were selected in the test site, covering twenty-nine transplanting fields and thirteen direct-seedling fields. The distribution of these sample plots is also showed in Fig 1.


        Figure 1. The location of test site and the distribution of the sample plots, cloud and sun mean transplant and direct-planting rice fields respectively.

             
        (a) Transplanting                                        (b) direct-seedling

        Figure 2. Rice fields in Jiangsu test site

        In Situ Observations

        Weight of a panicle (moist, dry)

        • Crop Type(s):
        • Collection Protocol:

          Field sampling, measured by balance

        • Frequency: Four times during experiment cycle

        Plant Bunch distance

        • Crop Type(s):
        • Collection Protocol:

          Measured by steel ruler

        • Frequency: Ten times during experiment cycle

        Number of Leaf/stem

        • Crop Type(s):
        • Collection Protocol:

          Select a few stems randomly, count the number, then calculate the value per stem

        • Frequency: Ten times during experiment cycle

        Moist weight and Dry height/bunch

        • Crop Type(s):
        • Collection Protocol:

          Field sampling, measured by drying method

        • Frequency: Ten times during experiment cycle

        Leaf length, width and thickness

        • Crop Type(s):
        • Collection Protocol:

          Measured by vernier caliper

        • Frequency: Ten times during experiment cycle

        Number of stem/bunch

        • Crop Type(s):
        • Collection Protocol:

          Select a few bunches randomly, count the number, then calculate the value per bunch

        • Frequency: Ten times during experiment cycle

        Paddy variety

        • Crop Type(s):
        • Collection Protocol:

          Obtain through field measurements

        • Frequency: Once during experiment cycle

        Number of Panicle/bunch

        • Crop Type(s):
        • Collection Protocol:

          Select a few bunches randomly, count the number, then calculate the value per bunch

        • Frequency: Four times during experiment cycle

        Stem diameter

        • Crop Type(s):
        • Collection Protocol:

          Measured by vernier caliper

        • Frequency: Ten times during experiment cycle

        Method of planting

        • Crop Type(s):
        • Collection Protocol:

          Obtain through field measurements

        • Frequency: Once during experiment cycle

        Panicle length

        • Crop Type(s):
        • Collection Protocol:

          Measured by steel ruler

        • Frequency: Four times during experiment cycle

        Stem inclination

        • Crop Type(s):
        • Collection Protocol:

          Estimation using compass

        • Frequency: Ten times during experiment cycle

        Sowing date

        • Crop Type(s):
        • Collection Protocol:

          Obtain through field measurements

        • Frequency: Once during experiment cycle

        Panicle angle

        • Crop Type(s):
        • Collection Protocol:

          Estimation using compass

        • Frequency: Four times during experiment cycle

        Plant height

        • Crop Type(s):
        • Collection Protocol:

          measured by steel ruler

        • Frequency: Ten times during experiment cycle

        Water layer height

        • Crop Type(s):
        • Collection Protocol:

          Measured by vernier caliper

        • Frequency: Six times during experiment cycle

        Number of grain/panicle

        • Crop Type(s):
        • Collection Protocol:

          Select a few panicles randomly, count the number, then calculate the value per panicle

        • Frequency: Four times during experiment cycle

        Number of Bunch/m2

        • Crop Type(s):
        • Collection Protocol:

          Select a field randomly, count the number, then calculate the value per square meter

        • Frequency: Ten times during experiment cycle

        Soil condition

        • Crop Type(s):
        • Collection Protocol:

          Observation, field sampling, measured by drying method

        • Frequency: Ten times during experiment cycle

        Dimensions of grains (length, width)

        • Crop Type(s):
        • Collection Protocol:

          Measured by vernier caliper

        • Frequency: Four times during experiment cycle

        Bunch diameter

        • Crop Type(s):
        • Collection Protocol:

          Measured by vernier caliper

        • Frequency: Ten times during experiment cycle

        Leaf insertion angle

        • Crop Type(s):
        • Collection Protocol:

          Estimation using compass

        • Frequency: Ten times during experiment cycle

        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: Yun Shao
      • Affiliation: Institute of Remote Sensing and Digital Earth (RADI)
      • Affiliation Webpage: http://english.radi.cas.cn/
      • Position:
      • Email: shaoyun@radi.ac.cn
      • Personal Webpage:
      • Phone number:
      • Postal Address:
      • Other Team Members

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