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...

Full description

Saved in:
Bibliographic Details
Main Authors: Caixia Liu, Huabing Huang, Zhiyu Zhang, Wenyi Fan, Di Wu
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/17/1/47
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841549021244555264
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
collection DOAJ
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.
format Article
id doaj-art-c713a25b8a7b4be3a0910afb3f904343
institution Kabale University
issn 2072-4292
language English
publishDate 2024-12-01
publisher MDPI AG
record_format Article
series Remote Sensing
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
work_keys_str_mv AT caixialiu canopyheightintegrationforpreciseforestabovegroundbiomassestimationinnaturalsecondaryforestsofnortheastchinausinggaofen7stereosatellitedata
AT huabinghuang canopyheightintegrationforpreciseforestabovegroundbiomassestimationinnaturalsecondaryforestsofnortheastchinausinggaofen7stereosatellitedata
AT zhiyuzhang canopyheightintegrationforpreciseforestabovegroundbiomassestimationinnaturalsecondaryforestsofnortheastchinausinggaofen7stereosatellitedata
AT wenyifan canopyheightintegrationforpreciseforestabovegroundbiomassestimationinnaturalsecondaryforestsofnortheastchinausinggaofen7stereosatellitedata
AT diwu canopyheightintegrationforpreciseforestabovegroundbiomassestimationinnaturalsecondaryforestsofnortheastchinausinggaofen7stereosatellitedata