Spatio-temporal evolution of complex agricultural land use and its drivers in a super-large irrigation district(Hetao)of the upper Yellow River Basin(2000-2021)  

黄河流域上游特大型灌区(河套)复杂农业土地利用时空演变及其驱动因子(2000-2021)

作　　者：LI Xinyi SUN Chen XIAO Xue LI Zhengzhong MA Xin WANG Jun XU Xu 李欣怡;孙琛;肖学;李正中;马鑫;王军;徐旭

机构地区：[1]Chinese-Israeli International Center for Research and Training in Agriculture,College of Water Resources&Civil Engineering,China Agricultural University,Beijing 100083,China [2]Institute of Environment and Sustainable Development in Agriculture,Chinese Academy of Agricultural Sciences,Beijing 100081,China [3]Shahaoqu Experimental Station,Jiefangzha Department,Inner Mongolia Hetao Irrigation District Water Resources Development Center,Shanba 015499,Inner Mongolia,China [4]Water Resources Research Institute of Inner Mongolia,Hohhot 010051,China [5]College of Economics&Management,China Agricultural University,Beijing 100083,China

出　　处：《Journal of Geographical Sciences》2025年第2期273-292,共20页地理学报(英文版)

基　　金：National Natural Science Foundation of China,No.52379053,No.52022108;The Key Research Project of Science and Technology in Inner Mongolia Autonomous Region of China,No.NMKJXM202208,No.NMKJXM202301;The Project Funded by the Water Resources Department of Inner Mongolia Autonomous Region of China,No.NSK202103。

摘　　要：Accurate spatio-temporal land cover information in agricultural irrigation districts is crucial for effective agricultural management and crop production.Therefore,a spectralphenological-based land cover classification(SPLC)method combined with a fusion model(flexible spatiotemporal data fusion,FSDAF)(abbreviated as SPLC-F)was proposed to map multi-year land cover and crop type(LC-CT)distribution in agricultural irrigated areas with complex landscapes and cropping system,using time series optical images(Landsat and MODIS).The SPLC-F method was well validated and applied in a super-large irrigated area(Hetao)of the upper Yellow River Basin(YRB).Results showed that the SPLC-F method had a satisfactory performance in producing long-term LC-CT maps in Hetao,without the requirement of field sampling.Then,the spatio-temporal variation and the driving factors of the cropping systems were further analyzed with the aid of detailed household surveys and statistics.We clarified that irrigation and salinity conditions were the main factors that had impacts on crop spatial distribution in the upper YRB.Investment costs,market demand,and crop price are the main driving factors in determining the temporal variations in cropping distribution.Overall,this study provided essential multi-year LC-CT maps for sustainable management of agriculture,eco-environments,and food security in the upper YRB.

关 键 词：land cover cropping system classification PHENOLOGY remote sensing agricultural irrigated area 

分 类 号：P237[天文地球—摄影测量与遥感] F321.1[天文地球—测绘科学与技术]