Agricultural land & status
Rice acreage map, Prey Veng, Cambodia 2011 (Source: GeoVille/ESA/WorldBank)
The product exploits high resolution radar and optical multispectral satellite imagery combined with field data to generate maps depicting the acreage of crop cultivation areas and crop types. Additional parameters comprise cropping systems (rainfed / irrigated), crop health, crop cycles, date of emergence and harvest, and crop yield.
Crop type and status is important for planning land access for seismic surveys, as well as to evaluate potential impacts and compensation payments. The product can help to assess the damage and moderate the actual payment.
Agricultural crop type identification can also support environmental impact assessment, resettlement action plans, and the land acquisition process during development. Compensation payments may be linked to actual crop types.
In addition, such products can be used for mapping and monitoring changes in crop cultivation patterns and crop yields, and to evaluate the impacts of hazards such as floods and droughts. Other key parameters are irrigation water demand estimates for sustainable agriculture, which has particular significance in water scarce regions.
This product delivers PDF maps or vector digital files that delineate and identify:
Known restrictions / limitations
In the inner and outer tropics frequent cloud cover can be an issue for gathering information from optical satellite data. This can be mitigated by using radar satellite images.
Some parameters, for example crop health, are strongly dependent on the level of supporting in-situ information.
The achievable size of mapped objects is dependent on the sensor used and its resolution.
Example: Mapping of small parcels with 15 m Landsat-8 data (HR2) is possible up to a parcel size of 0.5 ha. For smaller field structures, VHR1 to HR1 data with a resolution below 10 m are needed.
Lifecycle stage and demand
All lifecycle stages:
Geographic coverage and demand
Demand and coverage is global.
OTM:039 Selection of development sites
OTM:062 Monitoring re-vegetation
OTM:063 Resettlement assessment
Input data sources
Optical: VHR1, VHR2, HR1, HR2
Radar: VHR1, VHR2, HR1, HR2
Spatial resolution and coverage
Spatial resolution: 0.5-30 m pixel size
Minimum Mapping Unit (MMU)
Between 0.05 and 0.1 ha for 5 m input data.
Accuracy / constraints
Thematic accuracy: 80-90%.
Spatial accuracy: The goal would be one pixel, but depends on reference data
Accuracy assessment approach & quality control measures
Stratified random points sampling approach utilizing VHR reference or other geospatial in-situ data.
Frequency / timeliness
Observation frequency: The frequency is constrained by satellite revisit and acquisition and processing requirements. While the maximum frequency is technically driven by the revisit cycle of the satellite, the minimum frequency is defined be the customer. Depending on the requirements of the customer the most suitable satellite sensor has to be chosen, considering spatial / spectral resolution as well as revisit frequency.
Timeliness of deliverable: Depends on the size of the mapped area, resolution, MMU and number of mapped classes; usually in the order of a few weeks depending on the customer’s priority requirements
Freely available or commercially acquired depending on the sensor selected.
Delivery / output format
|Peer Reviewer:||Hatfield Consultants|
Maria Lemper, Jan Militzer
Agricultural land & status
# of Pages:
Internal – Project consortium and science partners
External – ESA
This page has no comments.