%0 Dataset
%T Field survey dataset of crop planting types in Xinjiang and adjacent areas (2023-2024)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/569832f0-8591-4a97-9ecb-625149b221f3
%W NCDC
%R 10.12072/ncdc.xjcropsurvey.db6896.2025
%A FANG Xia
%A CAO Liangzhong 
%K Field investigation;crop classification;oasis agriculture
%X This data is based on field surveys of crop planting types conducted in Xinjiang and adjacent areas in the summer of 2023 and 2024, with 2480 and 282 ground observation sample points collected, respectively. The survey area covers typical oasis agricultural areas and plateau edge areas such as Ili Kazakh Autonomous Prefecture, Tacheng Prefecture, Changji Hui Autonomous Prefecture, Shihezi City, Bayingolin Mongolian Autonomous Prefecture, Aksu Prefecture in Xinjiang, as well as Zhangye City in Gansu Province and Menyuan County in Qinghai Province. Each sampling point records in detail the crop type, geographic coordinates, and survey time, covering a variety of crops such as corn, wheat, cotton, etc., demonstrating high type diversity and regional representativeness. The data collection adopts a unified and standardized field survey method, combined with on-site visits, precise positioning, and visual discrimination. Some sample points are equipped with on-site photos and auxiliary explanations. This dataset not only provides key training and validation data for high-resolution remote sensing crop recognition and classification models, but can also be widely applied in research fields such as oasis agricultural structure analysis, regional planting system monitoring, and land use classification accuracy evaluation. The dataset consists of two Excel data files: (1) Field survey dataset of crop planting types in Xinjiang and adjacent areas in 2023; (2) 2024 field survey dataset of crop planting types in Xinjiang and adjacent areas.