Coarse spatial resolution remote sensing data with AVHRR and MODIS miss the greening area compared with the Landsat data in Chinese drylands

• DOI: 10.3389/fpls.2023.1129665
• Publication Date: 2023-05-17T05:39:07Z
• Authors: Jianshuang Zhang; Yangjian Zhang; Nan Cong; Li Tian; Guang Zhao; Zhoutao Zheng; Jie Gao; Yixuan Zhu; Yu Zhang
• Keywords: Desertification; Advanced very-high-resolution radiometer; VNIR

The warming-wetting climates in Chinese drylands, together with a series of ecological engineering projects, had caused apparent changes to vegetation therein. Regarding the greening trend, different remote sensing data yielded distinct findings. It was critical evaluate dynamics drylands using data. By comparing three most commonly used datasets [i.e., MODIS, Advanced Very High Resolution Radiometer (AVHRR), and Landsat], this study comprehensively investigated for Chinse drylands. All exhibited evident trends from 2000 2020 especially Loess Plateau Northeast China. However, Landsat identified largest areas (89.8%), while AVHRR smallest area (58%). by comprise more small patches than those MODIS AVHRR. higher consistency terms detecting areas. high identifying China, Plateau, Xinjiang. percentage inconsistent among 39.56%. comprised patches. Sensors atmospheric effect are two main reasons responsible outputs each NDVI product. Ecological projects great promotion on greening, which can be detected thereby combating desertification reducing dust storms.