Spatiotemporal disturbances and attribution analysis of mangrove in southern China from 1986 to 2020 based on time-series Landsat imagery.

Long, Kexin; Chen, Zhaojun; Zhang, Huaiqing; Zhang, Meng

Long, Kexin; Chen, Zhaojun; Zhang, Huaiqing; Zhang, Meng.

Afiliación

Long K; Research Center of Forestry Remote Sensing & Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China; Key Laboratory of State Forestry Administration on Forest Resources Management and Monitoring in Southern Area, Changsha 410004, China; Key Laborator
Chen Z; Research Center of Forestry Remote Sensing & Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China; Key Laboratory of State Forestry Administration on Forest Resources Management and Monitoring in Southern Area, Changsha 410004, China; Key Laborator
Zhang H; Research Institute of Forest Resources Information Techniques, Chinese Academy of Forestry, Beijing 100091, China.
Zhang M; Research Center of Forestry Remote Sensing & Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China; Key Laboratory of State Forestry Administration on Forest Resources Management and Monitoring in Southern Area, Changsha 410004, China; Key Laborator

Sci Total Environ ; 912: 169157, 2024 Feb 20.

Article en En | MEDLINE | ID: mdl-38061141

Palabras clave

Attribution; Change detection; LandTrendr; Landsat; Mangrove; Random forest

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sci Total Environ Año: 2024 Tipo del documento: Article Pais de publicación: Países Bajos

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google