文献类型：期刊文献

英文题名：Mapping Irrigated Drylands and the Changes in China

作者：Zhu, Zijuan[2,3] Zuo, Lijun[3] Zhang, Zengxiang[3] Shao, Yun[2,3] Bao, Haijun[1,2] Zhao, Xiaoli[3] Wang, Xiao[3] Hu, Shunguang[3] Yu, Sisi[4,5,6] Pan, Tianshi[3] Liu, Ziyuan[3]

第一作者：Zhu, Zijuan

机构：[1] City College; [2] Institute of Spatial Information for School of Planning and Design, Hangzhou City University, Hangzhou, 310015, China; [3] Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China; [4] Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing, 100091, China; [5] Research Institute of Protected Area, Chinese Academy of Forestry, Beijing, 100091, China; [6] Key Laboratory of Biodiversity Conservation of National Forestry and Grassland Administration, Beijing, 100091, China

年份：2024

外文期刊名：SSRN

收录：EI(收录号：20240315078)

语种：英文

外文关键词：Arid regions - Classification (of information) - Economics - Ecosystems - Food supply - Land use - Remote sensing - Slope stability - Water resources

摘要：Irrigated dryland in China, largely distributed and expanding in arid and semi-arid regions, always poses challenges to water resource and ecosystems, thus deeply impacts the implementation of SDG 2, 6, 15 and so on. Spatial-temporal patterns of irrigated dryland with high resolution help pinpoint hotspots and key issues worth to concern, however, are still lack of research. This study developed a zonal-specific methodology to identify irrigated dryland and its changes from 2000 to 2015 at national scale with 30 meters’ resolution. The whole China was divided into five zones based on cropping patterns. Key phases of remote sensing data and environmental factors were combined to generate zonal-specific methodologies for the identification of irrigated dryland, while changes of features were employed to identify changes of irrigated dryland. Results showed that the ratio of vegetation indices to environmental factors exhibits stronger stability in the classification of each zone; however, these of slope and texture varied from zone to zone. Moreover, using difference data between two periods for change information extraction demonstrated high accuracy. This method not only avoids the error accumulation caused by overlaying the direct classification results of two periods but also addresses the issue of insufficient classification accuracy due to the shortage of samples and data in historical periods. The average overall accuracy (the kappa coefficient) on generated maps of irrigated dryland in 2000 and 2015 are 88.28% (0.758) and 87.65% (0.744). The irrigated dryland had been increased by 8.84% from 2000 to 2015 and their distribution became denser and shifted towards north of China. With the advancement of economy and technology, the influence of human factors on the distribution of irrigated drylands has gradually intensified. The stable development of irrigated drylands ensures China's food security and contributes to global food security. Meanwhile, it poses significant challenges to water resources and the ecological environment. This research developed methodologies to obtain accurate irrigated dryland data and its change information, supporting to identify the interaction between SDG 2, SDG 6, and SDG 15, especially in arid and semi-arid regions with vulnerable ecosystem in the world. ? 2024, The Authors. All rights reserved.