Mapping Tropical Forest Biomass by Combining ALOS-2, Landsat 8, and Field Plots Data
This research was carried out in a dense tropical forest region with the objective of improving the biomass estimates by a combination of ALOS-2 SAR, Landsat 8 optical, and field plots data. Using forest inventory based biomass data, the performance of different parameters from the two sensors was e...
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MDPI AG
2016-09-01
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| Series: | Land |
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| Online Access: | http://www.mdpi.com/2073-445X/5/4/31 |
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| author | Luong Viet Nguyen Ryutaro Tateishi Akihiko Kondoh Ram C. Sharma Hoan Thanh Nguyen Tu Trong To Dinh Ho Tong Minh |
| author_facet | Luong Viet Nguyen Ryutaro Tateishi Akihiko Kondoh Ram C. Sharma Hoan Thanh Nguyen Tu Trong To Dinh Ho Tong Minh |
| author_sort | Luong Viet Nguyen |
| collection | DOAJ |
| description | This research was carried out in a dense tropical forest region with the objective of improving the biomass estimates by a combination of ALOS-2 SAR, Landsat 8 optical, and field plots data. Using forest inventory based biomass data, the performance of different parameters from the two sensors was evaluated. The regression analysis with the biomass data showed that the backscatter from forest object (σ°forest) obtained from the SAR data was more sensitive to the biomass than HV polarization, SAR textures, and maximum NDVI parameters. However, the combination of the maximum NDVI from optical data, SAR textures from HV polarization, and σ°forest improved estimates of the biomass. The best model derived by the combination of multiple parameters from ALOS-2 SAR and Landsat 8 data was validated with inventory data. Then, the best validated model was used to produce an up-to-date biomass map for 2015 in Yok Don National Park, which is an important conservation area in Vietnam. The validation results showed that 74% of the variation of in biomass could be explained by our model. |
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| id | doaj.art-db4106f7fa1c4ee7a62649bd54d7b3ad |
| institution | Directory Open Access Journal |
| issn | 2073-445X |
| language | English |
| last_indexed | 2024-12-10T04:00:28Z |
| publishDate | 2016-09-01 |
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| spelling | doaj.art-db4106f7fa1c4ee7a62649bd54d7b3ad2022-12-22T02:02:59ZengMDPI AGLand2073-445X2016-09-01543110.3390/land5040031land5040031Mapping Tropical Forest Biomass by Combining ALOS-2, Landsat 8, and Field Plots DataLuong Viet Nguyen0Ryutaro Tateishi1Akihiko Kondoh2Ram C. Sharma3Hoan Thanh Nguyen4Tu Trong To5Dinh Ho Tong Minh6Center for Environmental Remote Sensing, Chiba University, 1–33 Yayoi-cho, Inage-ku, Chiba 263-8522, JapanCenter for Environmental Remote Sensing, Chiba University, 1–33 Yayoi-cho, Inage-ku, Chiba 263-8522, JapanCenter for Environmental Remote Sensing, Chiba University, 1–33 Yayoi-cho, Inage-ku, Chiba 263-8522, JapanCenter for Environmental Remote Sensing, Chiba University, 1–33 Yayoi-cho, Inage-ku, Chiba 263-8522, JapanInstitute of Geography, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet str., Cau Giay dist., Hanoi 100000, VietnamSpace Technology Institute, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet str., Cau Giay dist., Hanoi 100000, VietnamInstitut national de Recherche en Sciences et Technologies pour l’Environnement et l’Agriculture (IRSTEA), UMR TETIS, Maison de la Teledetection, 500 Rue Jean Francois Breton, Montpellier 34000, FranceThis research was carried out in a dense tropical forest region with the objective of improving the biomass estimates by a combination of ALOS-2 SAR, Landsat 8 optical, and field plots data. Using forest inventory based biomass data, the performance of different parameters from the two sensors was evaluated. The regression analysis with the biomass data showed that the backscatter from forest object (σ°forest) obtained from the SAR data was more sensitive to the biomass than HV polarization, SAR textures, and maximum NDVI parameters. However, the combination of the maximum NDVI from optical data, SAR textures from HV polarization, and σ°forest improved estimates of the biomass. The best model derived by the combination of multiple parameters from ALOS-2 SAR and Landsat 8 data was validated with inventory data. Then, the best validated model was used to produce an up-to-date biomass map for 2015 in Yok Don National Park, which is an important conservation area in Vietnam. The validation results showed that 74% of the variation of in biomass could be explained by our model.http://www.mdpi.com/2073-445X/5/4/31forest biomassSARL-band ALOS-2backscattertextureLandsat 8NDVIaccuracyVietnam |
| spellingShingle | Luong Viet Nguyen Ryutaro Tateishi Akihiko Kondoh Ram C. Sharma Hoan Thanh Nguyen Tu Trong To Dinh Ho Tong Minh Mapping Tropical Forest Biomass by Combining ALOS-2, Landsat 8, and Field Plots Data Land forest biomass SAR L-band ALOS-2 backscatter texture Landsat 8 NDVI accuracy Vietnam |
| title | Mapping Tropical Forest Biomass by Combining ALOS-2, Landsat 8, and Field Plots Data |
| title_full | Mapping Tropical Forest Biomass by Combining ALOS-2, Landsat 8, and Field Plots Data |
| title_fullStr | Mapping Tropical Forest Biomass by Combining ALOS-2, Landsat 8, and Field Plots Data |
| title_full_unstemmed | Mapping Tropical Forest Biomass by Combining ALOS-2, Landsat 8, and Field Plots Data |
| title_short | Mapping Tropical Forest Biomass by Combining ALOS-2, Landsat 8, and Field Plots Data |
| title_sort | mapping tropical forest biomass by combining alos 2 landsat 8 and field plots data |
| topic | forest biomass SAR L-band ALOS-2 backscatter texture Landsat 8 NDVI accuracy Vietnam |
| url | http://www.mdpi.com/2073-445X/5/4/31 |
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