Spracklen, B and Spracklen, DV orcid.org/0000-0002-7551-4597 (2021) Synergistic Use of Sentinel-1 and Sentinel-2 to Map Natural Forest and Acacia Plantation and Stand Ages in North-Central Vietnam. Remote Sensing, 13 (2). 185. ISSN 2072-4292
Abstract
Many remote sensing studies do not distinguish between natural and planted forests. We combine C-Band Synthetic Aperture Radar (Sentinel-1, S-1) and optical satellite imagery (Sentinel-2, S-2) and examine Random Forest (RF) classification of acacia plantations and natural forest in North-Central Vietnam. We demonstrate an ability to distinguish plantation from natural forest, with overall classification accuracies of 87% for S-1, and 92.5% and 92.3% for S-2 and for S-1 and S-2 combined respectively. We found that the ratio of the Short-Wave Infrared Band to the Red Band proved most effective in distinguishing acacia from natural forest. We used RF on S-2 imagery to classify acacia plantations into 6 age classes with an overall accuracy of 70%, with young plantation consistently separated from older. However, accuracy was lower at distinguishing between the older age classes. For both distinguishing plantation and natural forest, and determining plantation age, a combination of radar and optical imagery did nothing to improve classification accuracy.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). |
Keywords: | natural forest; acacia plantation; Random Forest; Synthetic Aperture Radar (SAR); Sentinel-1; Sentinel-2; satellite |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Inst for Climate & Atmos Science (ICAS) (Leeds) |
Funding Information: | Funder Grant number British Council, UK 216372155 NERC (Natural Environment Research Council) NE/M003574/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 22 Jan 2021 16:57 |
Last Modified: | 22 Jan 2021 16:57 |
Status: | Published |
Publisher: | MDPI |
Identification Number: | 10.3390/rs13020185 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:170247 |