Overview
- Crop identification and Crop Area Estimation Cropped Land
- Crop Condition/Stress
- Soil Moisture
- Evapotranspiration
Project Objectives
Mapping Agricultural Areas
Operational Implementation Plan
Crop identification and Crop Area Estimation Cropped Land:
Developing a method for support crop area estimation on field for a resolution of NUTS 3.
Mapping Frequency: 2 maps / year 1 for winter wheat mapping, 1 maize mapping.
Scale
Land Use Types
- Crop Land:
- Spatial Resolution:
- Temporal Resolution:
Estimating Crop Conditions
Operational Implementation Plan
Analyse of the sensitivity of SAR data to soil surface parameters (surface roughness and soil moisture) over agricultural fields, at various polarizations.
Crop Conditions
- Biological Stress
Estimation of Biophysical Variables
Operational Implementation Plan
Frequent monitoring of wheat and maize fields are being performed in the loamy region of Belgium
Biophysical Variables
- LAI (Leaf Area Index)
Forecasting Agricultural Variables
Operational Implementation Plan
Improve estimate of biophysical variables retrieval for crop growth monitoring; methodology development for maize and winter wheat Leaf Area Index (LAI) estimation from optical and SAR data in an operational perspective.
Agricultural Variables (large scale)
- Soil Moisture
Site Description
Landscape Topography | The landscape topography is flatlands and hills. |
---|---|
Typical Field Size | 3-15 ha |
Climatic Zone | Tropics, warm |
Major Crops and Calendars | Maize (Normal): Spring Wheat (Normal): Barley (Normal): Potatoes (Normal): |
Soil Type & Texture | |
Soil Drainage Class | |
Irrigation Infrastructure | Array |
Other Site Details |
In Situ Observations
Digital Hemispherical Pictures (DHP)
- Crop Type(s):
- Collection Protocol:
DHP have been acquired in 2015 and 2016 on three crops (winter wheat, maize and potato) all along the growing season in a field sample spread over Belgium. Those DHP were acquired for validation purposes of the Biophysical Variables (BV) retrieved from satellite imagery (SPOT5Take5 in 2015 and S2-A in 2016) with a radiative transfer model: fCover, fAPAR and LAI.
- Frequency:
Tillage Occurrence Detection
- Crop Type(s):
- Collection Protocol:
An intensive field data collection has been set up in order to retrieve information on 535 parcels among which 107 are fully described in terms of practices occurrence for 2015. This detailed characterization of the practices occurrence has been achieved through farmers’ interviews. The condition of the parcels in February have been reported for the remaining 428 fields through field observations (bare soil, crop types, visible practices, previous crop from residues). All the fields have been manually delineated based on very high spatial resolution orthoimages. Hence, this dataset contains three main information: the polygon of the parcel, the occurrence date of the different practices (tillage, shallow ploughing…), the field condition on the 18th of February.
- Frequency:
Crop Type
- Crop Type(s):
- Collection Protocol:
An intensive field data collection has been carried out in July 2016 in order to collect crop type information in approximately 1800 fields spread over Walloon region (Southern part of Belgium).
- Frequency:
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
Other Team Members