Assessing the suitability of data from Sentinel-1A and 2A for crop classification

Assessing the suitability of data from Sentinel-1A and 2A for crop classification

Sentinel-1A C-SAR and Sentinel-2A MultiSpectral Instrument (MSI) provide data applicable to the remote identification of crop type. In this study, six crop types (beans, beetroot, grass, maize, potato, and winter wheat) were identified using five C-SAR images and one MSI image acquired during the 20...

Disgrifiad llawn

Manylion Llyfryddiaeth
Prif Awduron: Rei Sonobe, Yuki Yamaya, Hiroshi Tani, Xiufeng Wang, Nobuyuki Kobayashi, Kan-ichiro Mochizuki
Fformat: Erthygl
Iaith:English
Cyhoeddwyd: Taylor & Francis Group 2017-11-01
Cyfres:GIScience & Remote Sensing
Pynciau:
agricultural fields
classification
hokkaido
machine learning
sentinel-1a
sentinel-2a
Mynediad Ar-lein:http://dx.doi.org/10.1080/15481603.2017.1351149

Rhyngrwyd

http://dx.doi.org/10.1080/15481603.2017.1351149

Eitemau Tebyg