EXPLORING THE CAPABILITIES OF COMBINING THE SENTINEL-2 MSI DATA AND HIGH RESOLUTION GOOGLE EARTH IMAGE FOR MAPPING MANGROVE SPECIES
Knowledge gained about the mangrove species mapping is essential to understand mangrove species development and to better estimate their ecological service value. Spectral bands and spatial resolution of remote sensing data are two important factors for accurate discrimination of mangrove species. I...
Main Authors: | H. Z. Li, Y. Han, J. S. Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2020-08-01
|
Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B3-2020/1001/2020/isprs-archives-XLIII-B3-2020-1001-2020.pdf |
Similar Items
-
Mapping National Mangrove Cover for Belize Using Google Earth Engine and Sentinel-2 Imagery
by: Jordan R. Cissell, et al.
Published: (2021-05-01) -
Mangrove Ecosystem Mapping Using Sentinel-1 and Sentinel-2 Satellite Images and Random Forest Algorithm in Google Earth Engine
by: Arsalan Ghorbanian, et al.
Published: (2021-06-01) -
Incorporating the Plant Phenological Trajectory into Mangrove Species Mapping with Dense Time Series Sentinel-2 Imagery and the Google Earth Engine Platform
by: Huiying Li, et al.
Published: (2019-10-01) -
The Google Earth Engine Mangrove Mapping Methodology (GEEMMM)
by: J. Maxwell M. Yancho, et al.
Published: (2020-11-01) -
Advancing the Mapping of Mangrove Forests at National-Scale Using Sentinel-1 and Sentinel-2 Time-Series Data with Google Earth Engine: A Case Study in China
by: Luojia Hu, et al.
Published: (2020-09-01)