New JAXA High-Resolution Land Use/Land Cover Map for Vietnam Aiming for Natural Forest and Plantation Forest Monitoring
Highly detailed and accurate forest maps are important for various applications including forest monitoring, forestry policy, climate change, and biodiversity loss. This study demonstrates a comprehensive and geographically transferable approach to produce a 12 category high-resolution land use/land...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-08-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/12/17/2707 |
| _version_ | 1827708400864067584 |
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| author | Thanh Tung Hoang Van Thinh Truong Masato Hayashi Takeo Tadono Kenlo Nishida Nasahara |
| author_facet | Thanh Tung Hoang Van Thinh Truong Masato Hayashi Takeo Tadono Kenlo Nishida Nasahara |
| author_sort | Thanh Tung Hoang |
| collection | DOAJ |
| description | Highly detailed and accurate forest maps are important for various applications including forest monitoring, forestry policy, climate change, and biodiversity loss. This study demonstrates a comprehensive and geographically transferable approach to produce a 12 category high-resolution land use/land cover (LULC) map over mainland Vietnam in 2016 by remote sensing data. The map included several natural forest categories (evergreen broadleaf, deciduous (mostly deciduous broadleaf), and coniferous (mostly evergreen coniferous)) and one category representing all popular plantation forests in Vietnam such as acacia (<i>Acacia mangium</i>, <i>Acacia auriculiformis</i>, <i>Acacia</i> hybrid), eucalyptus (<i>Eucalyptus globulus</i>), rubber (<i>Hevea brasiliensis</i>), and others. The approach combined the advantages of various sensor data by integrating their posterior probabilities resulting from applying a probabilistic classifier (comprised of kernel density estimation and Bayesian inference) to each datum individually. By using different synthetic aperture radar (SAR) images (PALSAR-2/ScanSAR, PALSAR-2 mosaic, Sentinel-1), optical images (Sentinel-2, Landsat-8) and topography data (AW3D30), the resultant map achieved 85.6% for the overall accuracy. The major forest classes including evergreen broadleaf forests and plantation forests had a user’s accuracy and producer’s accuracy ranging from 86.0% to 95.3%. Our map identified 9.55 × 10<sup>6</sup> ha (±0.16 × 10<sup>6</sup> ha) of natural forests and 3.89 × 10<sup>6</sup> ha (±0.11 × 10<sup>6</sup> ha) of plantation forests over mainland Vietnam, which were close to the Vietnamese government’s statistics (with differences of less than 8%). This study’s result provides a reliable input/reference to support forestry policy and land sciences in Vietnam. |
| first_indexed | 2024-03-10T17:03:06Z |
| format | Article |
| id | doaj.art-a4eea42563bb4e07b1f47d1c6d1e63df |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T17:03:06Z |
| publishDate | 2020-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-a4eea42563bb4e07b1f47d1c6d1e63df2023-11-20T10:53:55ZengMDPI AGRemote Sensing2072-42922020-08-011217270710.3390/rs12172707New JAXA High-Resolution Land Use/Land Cover Map for Vietnam Aiming for Natural Forest and Plantation Forest MonitoringThanh Tung Hoang0Van Thinh Truong1Masato Hayashi2Takeo Tadono3Kenlo Nishida Nasahara4Viet Nam Institute of Meteorology, Hydrology and Climate Change, No.23–62 Alley, Nguyen Chi Thanh Road, Dong Da District, Hanoi 117257, VietnamVNU Center for Development in Hoa Lac, Vietnam National University, Hanoi, Thach Hoa Commune, Thach That District, Hanoi 155500, VietnamEarth Observation Research Center, Japan Aerospace Exploration Agency (JAXA), 2-1-1 Sengen, Tsukuba, Ibaraki 305-8505, JapanEarth Observation Research Center, Japan Aerospace Exploration Agency (JAXA), 2-1-1 Sengen, Tsukuba, Ibaraki 305-8505, JapanFaculty of Life and Environmental Sciences, University of Tsukuba, Tennoudai 1-1-1, Tsukuba, Ibaraki 305-8572, JapanHighly detailed and accurate forest maps are important for various applications including forest monitoring, forestry policy, climate change, and biodiversity loss. This study demonstrates a comprehensive and geographically transferable approach to produce a 12 category high-resolution land use/land cover (LULC) map over mainland Vietnam in 2016 by remote sensing data. The map included several natural forest categories (evergreen broadleaf, deciduous (mostly deciduous broadleaf), and coniferous (mostly evergreen coniferous)) and one category representing all popular plantation forests in Vietnam such as acacia (<i>Acacia mangium</i>, <i>Acacia auriculiformis</i>, <i>Acacia</i> hybrid), eucalyptus (<i>Eucalyptus globulus</i>), rubber (<i>Hevea brasiliensis</i>), and others. The approach combined the advantages of various sensor data by integrating their posterior probabilities resulting from applying a probabilistic classifier (comprised of kernel density estimation and Bayesian inference) to each datum individually. By using different synthetic aperture radar (SAR) images (PALSAR-2/ScanSAR, PALSAR-2 mosaic, Sentinel-1), optical images (Sentinel-2, Landsat-8) and topography data (AW3D30), the resultant map achieved 85.6% for the overall accuracy. The major forest classes including evergreen broadleaf forests and plantation forests had a user’s accuracy and producer’s accuracy ranging from 86.0% to 95.3%. Our map identified 9.55 × 10<sup>6</sup> ha (±0.16 × 10<sup>6</sup> ha) of natural forests and 3.89 × 10<sup>6</sup> ha (±0.11 × 10<sup>6</sup> ha) of plantation forests over mainland Vietnam, which were close to the Vietnamese government’s statistics (with differences of less than 8%). This study’s result provides a reliable input/reference to support forestry policy and land sciences in Vietnam.https://www.mdpi.com/2072-4292/12/17/2707plantation forestnatural forestVietnamacaciaeucalyptusrubber |
| spellingShingle | Thanh Tung Hoang Van Thinh Truong Masato Hayashi Takeo Tadono Kenlo Nishida Nasahara New JAXA High-Resolution Land Use/Land Cover Map for Vietnam Aiming for Natural Forest and Plantation Forest Monitoring Remote Sensing plantation forest natural forest Vietnam acacia eucalyptus rubber |
| title | New JAXA High-Resolution Land Use/Land Cover Map for Vietnam Aiming for Natural Forest and Plantation Forest Monitoring |
| title_full | New JAXA High-Resolution Land Use/Land Cover Map for Vietnam Aiming for Natural Forest and Plantation Forest Monitoring |
| title_fullStr | New JAXA High-Resolution Land Use/Land Cover Map for Vietnam Aiming for Natural Forest and Plantation Forest Monitoring |
| title_full_unstemmed | New JAXA High-Resolution Land Use/Land Cover Map for Vietnam Aiming for Natural Forest and Plantation Forest Monitoring |
| title_short | New JAXA High-Resolution Land Use/Land Cover Map for Vietnam Aiming for Natural Forest and Plantation Forest Monitoring |
| title_sort | new jaxa high resolution land use land cover map for vietnam aiming for natural forest and plantation forest monitoring |
| topic | plantation forest natural forest Vietnam acacia eucalyptus rubber |
| url | https://www.mdpi.com/2072-4292/12/17/2707 |
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