Cargando…
Leaf Area Index Estimation Using Chinese GF-1 Wide Field View Data in an Agriculture Region
Leaf area index (LAI) is an important vegetation parameter that characterizes leaf density and canopy structure, and plays an important role in global change study, land surface process simulation and agriculture monitoring. The wide field view (WFV) sensor on board the Chinese GF-1 satellite can ac...
Autores principales: | Wei, Xiangqin, Gu, Xingfa, Meng, Qingyan, Yu, Tao, Zhou, Xiang, Wei, Zheng, Jia, Kun, Wang, Chunmei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5539751/ https://www.ncbi.nlm.nih.gov/pubmed/28698464 http://dx.doi.org/10.3390/s17071593 |
Ejemplares similares
-
Soil Moisture Retrieval from the Chinese GF-3 Satellite and Optical Data over Agricultural Fields
por: Zhang, Linlin, et al.
Publicado: (2018) -
A Refined Crop Drought Monitoring Method Based on the Chinese GF-1 Wide Field View Data
por: Chang, Sheng, et al.
Publicado: (2018) -
Retrieval of Winter Wheat Leaf Area Index from Chinese GF-1 Satellite Data Using the PROSAIL Model
por: Li, He, et al.
Publicado: (2018) -
Estimation of Multi-Species Leaf Area Index Based on Chinese GF-1 Satellite Data Using Look-Up Table and Gaussian Process Regression Methods
por: Zhang, Yangyang, et al.
Publicado: (2020) -
An Improved Spatiotemporal Data Fusion Method for Snow-Covered Mountain Areas Using Snow Index and Elevation Information
por: Gao, Min, et al.
Publicado: (2022)