Cargando…
Using of Multi-Source and Multi-Temporal Remote Sensing Data Improves Crop-Type Mapping in the Subtropical Agriculture Region
Crop-type identification is very important in agricultural regions. Most researchers in this area have focused on exploring the ability of synthetic-aperture radar (SAR) sensors to identify crops. This paper uses multi-source (Sentinel-1, Sentinel-2, and Landsat-8) and multi-temporal data to identif...
Autores principales: | Sun, Chuanliang, Bian, Yan, Zhou, Tao, Pan, Jianjun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6566574/ https://www.ncbi.nlm.nih.gov/pubmed/31130689 http://dx.doi.org/10.3390/s19102401 |
Ejemplares similares
-
Mapping Winter Wheat with Multi-Temporal SAR and Optical Images in an Urban Agricultural Region
por: Zhou, Tao, et al.
Publicado: (2017) -
Analysing and Correcting the Differences between Multi-Source and Multi-Scale Spatial Remote Sensing Observations
por: Dong, Yingying, et al.
Publicado: (2014) -
Potential impact of flooding on schistosomiasis in Poyang Lake regions based on multi-source remote sensing images
por: Xue, Jing-Bo, et al.
Publicado: (2021) -
Intelligent Object Recognition of Urban Water Bodies Based on Deep Learning for Multi-Source and Multi-Temporal High Spatial Resolution Remote Sensing Imagery
por: Song, Shiran, et al.
Publicado: (2020) -
Multi-temporal shoreline analysis and future regional perspective for Kuwait coast using remote sensing and GIS techniques
por: Al-Attar, Ikram M.S., et al.
Publicado: (2023)