Canopy Height Integration for Precise Forest Aboveground Biomass Estimation in Natural Secondary Forests of Northeast China Using Gaofen-7 Stereo Satellite Data
Accurate estimates of forest aboveground biomass (AGB) are necessary for the accurate tracking of forest carbon stock. Gaofen-7 (GF-7) is the first civilian sub-meter three-dimensional (3D) mapping satellite from China. It is equipped with a laser altimeter system and a dual-line array stereoscopic...
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2024-12-01
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author | Caixia Liu Huabing Huang Zhiyu Zhang Wenyi Fan Di Wu |
author_facet | Caixia Liu Huabing Huang Zhiyu Zhang Wenyi Fan Di Wu |
author_sort | Caixia Liu |
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description | Accurate estimates of forest aboveground biomass (AGB) are necessary for the accurate tracking of forest carbon stock. Gaofen-7 (GF-7) is the first civilian sub-meter three-dimensional (3D) mapping satellite from China. It is equipped with a laser altimeter system and a dual-line array stereoscopic mapping camera, which enables it to synchronously generate full-waveform LiDAR data and stereoscopic images. The bulk of existing research has examined how accurate GF-7 is for topographic measurements of bare land or canopy height. The measurement of forest aboveground biomass has not received as much attention as it deserves. This study aimed to assess the GF-7 stereo imaging capability, displayed as topographic features for aboveground biomass estimation in forests. The aboveground biomass model was constructed using the random forest machine learning technique, which was accomplished by combining the use of in situ field measurements, pairs of GF-7 stereo images, and the corresponding generated canopy height model (CHM). Findings showed that the biomass estimation model had an accuracy of R<sup>2</sup> = 0.76, RMSE = 7.94 t/ha, which was better than the inclusion of forest canopy height (R<sup>2</sup> = 0.30, RMSE = 21.02 t/ha). These results show that GF-7 has considerable application potential in gathering large-scale high-precision forest aboveground biomass using a restricted amount of field data. |
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institution | Kabale University |
issn | 2072-4292 |
language | English |
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spelling | doaj-art-c713a25b8a7b4be3a0910afb3f9043432025-01-10T13:20:03ZengMDPI AGRemote Sensing2072-42922024-12-011714710.3390/rs17010047Canopy Height Integration for Precise Forest Aboveground Biomass Estimation in Natural Secondary Forests of Northeast China Using Gaofen-7 Stereo Satellite DataCaixia Liu0Huabing Huang1Zhiyu Zhang2Wenyi Fan3Di Wu4International Research Center of Big Data for Sustainable Development Goals, State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, ChinaSchool of Geospatial Engineering and Science, Sun Yat-Sen University, Guangzhou 510275, ChinaInternational Research Center of Big Data for Sustainable Development Goals, State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, ChinaSchool of Forestry, Northeast Forestry University, Harbin 150040, ChinaSchool of Surveying and Mapping Engineering, Heilongjiang Institute of Technology, Harbin 150050, ChinaAccurate estimates of forest aboveground biomass (AGB) are necessary for the accurate tracking of forest carbon stock. Gaofen-7 (GF-7) is the first civilian sub-meter three-dimensional (3D) mapping satellite from China. It is equipped with a laser altimeter system and a dual-line array stereoscopic mapping camera, which enables it to synchronously generate full-waveform LiDAR data and stereoscopic images. The bulk of existing research has examined how accurate GF-7 is for topographic measurements of bare land or canopy height. The measurement of forest aboveground biomass has not received as much attention as it deserves. This study aimed to assess the GF-7 stereo imaging capability, displayed as topographic features for aboveground biomass estimation in forests. The aboveground biomass model was constructed using the random forest machine learning technique, which was accomplished by combining the use of in situ field measurements, pairs of GF-7 stereo images, and the corresponding generated canopy height model (CHM). Findings showed that the biomass estimation model had an accuracy of R<sup>2</sup> = 0.76, RMSE = 7.94 t/ha, which was better than the inclusion of forest canopy height (R<sup>2</sup> = 0.30, RMSE = 21.02 t/ha). These results show that GF-7 has considerable application potential in gathering large-scale high-precision forest aboveground biomass using a restricted amount of field data.https://www.mdpi.com/2072-4292/17/1/47Gaofen-7 (GF-7)stereophotogrammetrycanopy heightaboveground biomass |
spellingShingle | Caixia Liu Huabing Huang Zhiyu Zhang Wenyi Fan Di Wu Canopy Height Integration for Precise Forest Aboveground Biomass Estimation in Natural Secondary Forests of Northeast China Using Gaofen-7 Stereo Satellite Data Remote Sensing Gaofen-7 (GF-7) stereophotogrammetry canopy height aboveground biomass |
title | Canopy Height Integration for Precise Forest Aboveground Biomass Estimation in Natural Secondary Forests of Northeast China Using Gaofen-7 Stereo Satellite Data |
title_full | Canopy Height Integration for Precise Forest Aboveground Biomass Estimation in Natural Secondary Forests of Northeast China Using Gaofen-7 Stereo Satellite Data |
title_fullStr | Canopy Height Integration for Precise Forest Aboveground Biomass Estimation in Natural Secondary Forests of Northeast China Using Gaofen-7 Stereo Satellite Data |
title_full_unstemmed | Canopy Height Integration for Precise Forest Aboveground Biomass Estimation in Natural Secondary Forests of Northeast China Using Gaofen-7 Stereo Satellite Data |
title_short | Canopy Height Integration for Precise Forest Aboveground Biomass Estimation in Natural Secondary Forests of Northeast China Using Gaofen-7 Stereo Satellite Data |
title_sort | canopy height integration for precise forest aboveground biomass estimation in natural secondary forests of northeast china using gaofen 7 stereo satellite data |
topic | Gaofen-7 (GF-7) stereophotogrammetry canopy height aboveground biomass |
url | https://www.mdpi.com/2072-4292/17/1/47 |
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