Cargando…
Extraction of Long Time-Series Vegetation Indices from Combined Multisource Satellite Imagery
Extracting vegetation cover information by combining multisource satellite images can improve the time scale of vegetation cover monitoring, realize encrypted observation in short period, and shorten the regional vegetation remote sensing monitoring cycle. The NDVI and RVI datasets from 2007–2019 we...
Autores principales: | Liu, Yu, Li, Wenqing, Li, Li, Zhang, Naiqun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9170431/ https://www.ncbi.nlm.nih.gov/pubmed/35676958 http://dx.doi.org/10.1155/2022/3901372 |
Ejemplares similares
-
Retracted: Extraction of Long Time-Series Vegetation Indices from Combined Multisource Satellite Imagery
por: Intelligence and Neuroscience, Computational
Publicado: (2023) -
Time-series analysis of satellite imagery for detecting vegetation cover changes in Indonesia
por: Furusawa, Takuro, et al.
Publicado: (2023) -
Land cover maps of Antananarivo (capital of Madagascar) produced by processing multisource satellite imagery and geospatial reference data
por: Stéphane, Dupuy, et al.
Publicado: (2020) -
Ecological approaches in veterinary epidemiology: mapping the risk of bat-borne rabies using vegetation indices and night-time light satellite imagery
por: Escobar, Luis E, et al.
Publicado: (2015) -
A Satellite Imagery Dataset for Long-Term Sustainable Development in United States Cities
por: Xi, Yanxin, et al.
Publicado: (2023)