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The 10-m cotton maps in Xinjiang, China during 2018-2021.
Kang, Xiaoyan; Huang, Changping; Chen, Jing M; Lv, Xin; Wang, Jin; Zhong, Tao; Wang, Huihan; Fan, Xianglong; Ma, Yiru; Yi, Xiang; Zhang, Ze; Zhang, Lifu; Tong, Qingxi.
Afiliação
  • Kang X; National Engineering Research Center for Satellite Remote Sensing Applications, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100101, China.
  • Huang C; National Engineering Research Center for Satellite Remote Sensing Applications, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100101, China. huangcp@aircas.ac.cn.
  • Chen JM; University of Chinese Academy of Sciences, Beijing, 100049, China. huangcp@aircas.ac.cn.
  • Lv X; Department of Geography and Planning, University of Toronto, Toronto, ON M5S 3G3, Canada.
  • Wang J; School of Geographical Sciences, Fujian Normal University, Fuzhou, China.
  • Zhong T; Xinjiang Production and Construction Corps Oasis Eco-Agriculture Key Laboratory, College of Agriculture, Shihezi University, Shihezi, 832003, China.
  • Wang H; National Engineering Research Center for Satellite Remote Sensing Applications, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100101, China.
  • Fan X; National Engineering Research Center for Satellite Remote Sensing Applications, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100101, China.
  • Ma Y; University of Chinese Academy of Sciences, Beijing, 100049, China.
  • Yi X; Xinjiang Production and Construction Corps Oasis Eco-Agriculture Key Laboratory, College of Agriculture, Shihezi University, Shihezi, 832003, China.
  • Zhang Z; Xinjiang Production and Construction Corps Oasis Eco-Agriculture Key Laboratory, College of Agriculture, Shihezi University, Shihezi, 832003, China.
  • Zhang L; Xinjiang Production and Construction Corps Oasis Eco-Agriculture Key Laboratory, College of Agriculture, Shihezi University, Shihezi, 832003, China.
  • Tong Q; Xinjiang Production and Construction Corps Oasis Eco-Agriculture Key Laboratory, College of Agriculture, Shihezi University, Shihezi, 832003, China.
Sci Data ; 10(1): 688, 2023 10 10.
Article em En | MEDLINE | ID: mdl-37816768
Cotton maps (10 m) of Xinjiang (XJ_COTTON10), which is the largest cotton production region of China, were produced from 2018 to 2021 through supervised classification. A two-step mapping strategy, i.e., cropland mapping followed by cotton extraction, was employed to improve the accuracy and efficiency of cotton mapping for a large region of about 1.66 million km2 with high heterogeneity. Additionally, the time-series satellite data related to spectral, textural, structural, and phenological features were combined and used in a supervised random forest classifier. The cotton/non-cotton classification model achieved overall accuracies of about 95% and 90% on the test samples of the same and adjacent years, respectively. The proposed two-step cotton mapping strategy proved promising and effective in producing multi-year and consistent cotton maps. XJ_COTTON10 agreed well with the statistical areas of cotton at the county level (R2 = 0.84-0.94). This is the first cotton mapping for the entire Xinjiang at 10-meter resolution, which can provide a basis for high-precision cotton monitoring and policymaking in China.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sci Data Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sci Data Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido