Synergistic Use of Sentinel-1 and Sentinel-2 to Map Natural Forest and Acacia Plantation and Stand Ages in North-Central Vietnam
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 Vie...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-01-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/13/2/185 |
_version_ | 1797415263117770752 |
---|---|
author | Ben Spracklen Dominick V. Spracklen |
author_facet | Ben Spracklen Dominick V. Spracklen |
author_sort | Ben Spracklen |
collection | DOAJ |
description | 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. |
first_indexed | 2024-03-09T05:45:11Z |
format | Article |
id | doaj.art-879652d7c7104ebfacbf2accadea943b |
institution | Directory Open Access Journal |
issn | 2072-4292 |
language | English |
last_indexed | 2024-03-09T05:45:11Z |
publishDate | 2021-01-01 |
publisher | MDPI AG |
record_format | Article |
series | Remote Sensing |
spelling | doaj.art-879652d7c7104ebfacbf2accadea943b2023-12-03T12:21:47ZengMDPI AGRemote Sensing2072-42922021-01-0113218510.3390/rs13020185Synergistic Use of Sentinel-1 and Sentinel-2 to Map Natural Forest and Acacia Plantation and Stand Ages in North-Central VietnamBen Spracklen0Dominick V. Spracklen1School of Earth and Environment, University of Leeds, Leeds LS2 9JT, UKSchool of Earth and Environment, University of Leeds, Leeds LS2 9JT, UKMany 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.https://www.mdpi.com/2072-4292/13/2/185natural forestacacia plantationRandom ForestSynthetic Aperture Radar (SAR)Sentinel-1Sentinel-2 |
spellingShingle | Ben Spracklen Dominick V. Spracklen Synergistic Use of Sentinel-1 and Sentinel-2 to Map Natural Forest and Acacia Plantation and Stand Ages in North-Central Vietnam Remote Sensing natural forest acacia plantation Random Forest Synthetic Aperture Radar (SAR) Sentinel-1 Sentinel-2 |
title | Synergistic Use of Sentinel-1 and Sentinel-2 to Map Natural Forest and Acacia Plantation and Stand Ages in North-Central Vietnam |
title_full | Synergistic Use of Sentinel-1 and Sentinel-2 to Map Natural Forest and Acacia Plantation and Stand Ages in North-Central Vietnam |
title_fullStr | Synergistic Use of Sentinel-1 and Sentinel-2 to Map Natural Forest and Acacia Plantation and Stand Ages in North-Central Vietnam |
title_full_unstemmed | Synergistic Use of Sentinel-1 and Sentinel-2 to Map Natural Forest and Acacia Plantation and Stand Ages in North-Central Vietnam |
title_short | Synergistic Use of Sentinel-1 and Sentinel-2 to Map Natural Forest and Acacia Plantation and Stand Ages in North-Central Vietnam |
title_sort | synergistic use of sentinel 1 and sentinel 2 to map natural forest and acacia plantation and stand ages in north central vietnam |
topic | natural forest acacia plantation Random Forest Synthetic Aperture Radar (SAR) Sentinel-1 Sentinel-2 |
url | https://www.mdpi.com/2072-4292/13/2/185 |
work_keys_str_mv | AT benspracklen synergisticuseofsentinel1andsentinel2tomapnaturalforestandacaciaplantationandstandagesinnorthcentralvietnam AT dominickvspracklen synergisticuseofsentinel1andsentinel2tomapnaturalforestandacaciaplantationandstandagesinnorthcentralvietnam |