Phenology-Based Residual Trend Analysis of MODIS-NDVI Time Series for Assessing Human-Induced Land Degradation

Land degradation is a widespread environmental issue and an important factor in limiting sustainability. In this study, we aimed to improve the accuracy of monitoring human-induced land degradation by using phenological signal detection and residual trend analysis (RESTREND). We proposed an improved...

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Detalles Bibliográficos
Autores principales: Chen, Hao, Liu, Xiangnan, Ding, Chao, Huang, Fang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263966/
https://www.ncbi.nlm.nih.gov/pubmed/30380671
http://dx.doi.org/10.3390/s18113676

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263966/
https://www.ncbi.nlm.nih.gov/pubmed/30380671
http://dx.doi.org/10.3390/s18113676

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