Remote sensing monitoring method of cultivated land irrigation area in Baojixia Irrigation District based on GEE
XU Chao1, LYU Jingyu1, LIU Yujun1, JIANG Yanan1,2*
1. College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China; 2. Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling, Shaanxi 712100, China
Abstract：Accurate monitoring of the changes of cultivated land irrigation area is of great significance for managing limited agricultural water resources and ensuring food security. Baojixia Irrigation District of Shaanxi Province, a typical irrigation district in arid and semi-arid areas of northwest China, was selected. Landsat satellite data based on GEE cloud platform, on the basis of extracting the range of cultivated land use classification, combined with field sampling points, and based on the actual situation of Baojixia Irrigation District, a method for obtaining historical sample points is proposed. By calculating NDVI, EVI, GCVI, WGI and other indexes as classification parameters. The random forest algorithm was used to identify and extract the irrigated areas of cultivated land in 2010 and 2020. The results show that the irrigated area of cultivated land in Baojixia Irrigation District in 2010 and 2020 are 104 211 hm2 and 90 174 hm2 respectively, and with overall accuracy of 91.67% and 95.35%, Kappa coefficients are 0.832 and 0.907.
徐超,吕婧妤,刘昱君,降亚楠*. 基于GEE的宝鸡峡灌区耕地灌溉面积遥感监测方法[J]. 排灌机械工程学报, 2022, 40(11): 1167-1172.
XU Chao,LYU Jingyu,LIU Yujun,JIANG Yanan*. Remote sensing monitoring method of cultivated land irrigation area in Baojixia Irrigation District based on GEE. Journal of Drainage and Irrigation Machinery Engin, 2022, 40(11): 1167-1172.
