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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...
Autores principales: | Chen, Hao, Liu, Xiangnan, Ding, Chao, Huang, Fang |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
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 |
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