Agricultural Analytics
Cultivation Patterns
Mapping of Agricultural Areas
By means of characteristic spectral information land use can be classified on different scales.
This way one can:
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obtain an over-view on the land allocation of a big area
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extract field boundaries
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observe the canopies
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see the spatial distribution of crops
Large-scale classification gives on overview over the structures of whole regions. Winter and summer crops can be separated with a very high accuracy. The derivation of crop cycles is also possible.
The assessment of the cultivated crops is based on time series and of satellite data, which have been precisely atmospherically corrected and were physical values (e.g. LAI) had been extracted. Using in- and after season classification methods, combing the knowledge on the physics of plant growth and AI methods, the information can be provided continuously refined within the season, or as final status.
Continuous time series of satellite data, supported by plant growth simulation / modelling, allows the precisely determination of use of the land surface, the cultivation activities and crops types, even for very large regions. Stating from an initial differentiation of the crop types (winter or summer crops) a step-by-step refining of the monitoring can be performed, up to a specific distinction between the varieties the use of the arable land.
For the provision of aggregated products, representing the cultivation on larger areas (e.g. administrative areas), a sophisticated approach on representative sample observations enables effective monitoring.
Information provided is for example:
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maps and/or numbers of total area of crops
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split to different crops
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distribution of crops
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changes between the seasons
Focus areas of different cultivations, as well as zones of sparse agricultural activities due to natural or anthropologic impact can be identified.
Aggregated products (here: cultivation on oblast level in the Ukraine) allow to compare the situation with historic and/or statistical information.
Find out more about mapping of agricultural areas and crop classification at scale.
