A dataset of planting structure in the Aral Sea basin (2019)- A Big Earth Data Platform for Three Poles

Data content: data set of planting structure in the Aral Sea Basin in 2019.

Data sources and processing methods: 2019 is divided into three time periods, and the sentry-2 data with the least cloud cover and the highest quality in each time period is spliced into a complete map to obtain the remote sensing image of sentry-2 in the third phase of the Aral Sea basin. The NDVI values of the three images are calculated, and then combined with the cultivated land data and field sampling data, the random forest algorithm is used to classify them, and finally the planting structure type of each plot is obtained.

Data quality: spatial resolution is 10m × 10m, temporal resolution is year, kappa coefficient is 0.8.

Data application results: it can be used for crop yield estimation and water resource utilization efficiency calculation.

File naming and required software

File name: the Aral Sea basin is divided into two sub basins, namely the Xier River and the Amu Darya River, and each sub basin is divided into different irrigation areas. The file name is“ nukus.shp ”It is expressed as the planting structure of Nukus irrigation area.
Data reading mode: all. Shp files in the dataset can be opened directly with ArcGIS, and the displayed SHP file is the graphic representation of the data.

Data Citations Data citation guideline What's data citation?

Cite as:

Liu, T. (2021). A dataset of planting structure in the Aral Sea basin (2019). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Ecolo.tpdc.271186. CSTR: 18406.11.Ecolo.tpdc.271186. (Download the reference： RIS | Bibtex )

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Support Program

Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)

Copyright & License

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License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)