Agricultural greenhouses datasets of 2010, 2016, and 2022 in China

Agricultural greenhouses, serving as facilities to protect crops and enhance farmland production efficiency, play a crucial role in the modernization process of agricultural production. With continuous innovation and promotion of greenhouse technology, the area covered by greenhouses in China has been steadily increasing over the past 20 years, far surpassing that of other countries.
In this study, we utilized Landsat-7 imagery on the Google Earth Engine platform and employed a Random Forest classifier to extract the distribution of agricultural greenhouses across China mainland for the years 2010, 2016, and 2022. The classification results underwent further visual inspection and refinement through morphological checks, hole filling, and manual contour adjustments. The resulting dataset achieved an overall accuracy exceeding 97% for each of the years 2010, 2016, and 2022.
The dataset, China GH, encompasses both the distribution of greenhouse sample points across mainland China and the precise geographic coordinates of agricultural greenhouses. It is stored in Shapefile format, TIFF format, and uses the WGS-84 coordinate system. The dataset includes:
• Vector data of agricultural greenhouse sample points in mainland China.( Shapefile )
• Raster data of agricultural greenhouse distribution in mainland China. ( TIFF )
• Relevant thematic maps. ( TIFF )
All raster files are in unsigned 8-bit integer format and use 255 as no-data value (pixels ignored by prediction), following an specific naming convention:
1. Project name: China Greenhouse (China GH)
2. Procedure combination: Random Forest ( RF )
3. Spatial resolution: 30m
4. Begin of time reference, date of first Landsat composite used by the modeling (20100101)
5. End of time reference: date of last Landsat composite used by the modeling (20221231)
6. Spatial extent: china mainland
7. Coordinate system: World Geodetic System 1984
8. Version: v1
Users can employ our China GH dataset in the following aspects :(1) Assist in agricultural layout and land use planning. (2) Assist agricultural producers to master the layout and scale of greenhouses to achieve the optimization of crop planting and management. (3) Research on the layout of agricultural greenhouses and crop growth in combination with other agriculture-related data. (3) Analyze the supply and demand of agricultural products in facilities, and guide the market pricing and sales strategy of agricultural products.