GLC_FCS30D: the first global 30 m land-cover dynamics monitoring product with a fine classification system for the period from 1985 to 2022 generated using dense-time-series Landsat imagery and the continuous change-detection method
Chinese Academy of Sciences · Beijing Institute of Big Data Research · +5 more institutions
Abstract
Abstract. Land-cover change has been identified as an important cause or driving force of global climate change and is a significant research topic. Over the past few decades, global land-cover mapping has progressed; however, long-time-series global land-cover-change monitoring data are still sparse, especially those at 30 m resolution. In this study, we describe GLC_FCS30D, a novel global 30 m land-cover dynamics monitoring dataset containing 35 land-cover subcategories and covering the period 1985–2022 in 26 time steps (maps were updated every 5 years before 2000 and annually after 2000). GLC_FCS30D has been developed using continuous change detection and all available Landsat imagery based on the Google…
Citation impact
- FWCI
- 146.52
- Percentile
- 100%
- References
- 90
Authors
7- XZXiao ZhangCorresponding
Chinese Academy of Sciences, Beijing Institute of Big Data Research, Aerospace Information Research Institute
- TZTingting ZhaoCorresponding
Xi'an University of Science and Technology, Beijing Institute of Big Data Research
- XHXu HongCorresponding
National Natural Science Foundation of China
- WLWendi LiuCorresponding
Chinese Academy of Sciences, Beijing Institute of Big Data Research, Aerospace Information Research Institute, University of Chinese Academy of Sciences
- JWJinqing WangCorresponding
Chinese Academy of Sciences, Beijing Institute of Big Data Research, Aerospace Information Research Institute, University of Chinese Academy of Sciences
Topics & keywords
- Land cover
- Change detection
- Remote sensing
- Pixel
- Environmental science
- Computer science
- Stability (learning theory)
- Product (mathematics)
- Climate action