Effect of leaf-on and leaf-off canopy conditions on forest height retrieval and modelling with ICESat-2 data
ABSTRACTIce, Cloud, and land Elevation Satellite-2 (ICESat-2) provides effective photon-counting light detection and ranging (LiDAR) data for estimating forest height across extensive geographical areas. Although prior studies have illustrated canopy conditions during leaf-on and leaf-off phases may...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2023-12-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2023.2285807 |
| _version_ | 1797450069309390848 |
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| author | Jialu Zhou Yunyuan Deng Sheng Nie Jing Fu Cheng Wang Wenwu Zheng Yue Sun |
| author_facet | Jialu Zhou Yunyuan Deng Sheng Nie Jing Fu Cheng Wang Wenwu Zheng Yue Sun |
| author_sort | Jialu Zhou |
| collection | DOAJ |
| description | ABSTRACTIce, Cloud, and land Elevation Satellite-2 (ICESat-2) provides effective photon-counting light detection and ranging (LiDAR) data for estimating forest height across extensive geographical areas. Although prior studies have illustrated canopy conditions during leaf-on and leaf-off phases may influence ICESat-2 derived forest heights, a comprehensive understanding of this effect remains incomplete. This study seeks to comprehensively assess how varying canopy conditions (leaf-on/leaf-off) affect ICESat-2 forest height retrieval and modelling. First, the accuracies of ICESat-2 terrain and canopy heights under leaf-on and leaf-off conditions were validated. Second, random forest algorithm was utilized to model forest height by integrating ICESat-2, Sentinel-2, and other ancillary datasets. Finally, we evaluated the influence of leaf-on and leaf-off conditions on forest height retrieval and modelling. Results reveal higher consistency between ICESat-2 and airborne LiDAR-derived terrain heights compared to the agreement between two canopy height datasets. Accuracies of ICESat-2 terrain and canopy heights are higher under leaf-off conditions in contrast to leaf-on conditions. Notably, the accuracies of ICESat-2 terrain and canopy heights under various conditions are closely linked to canopy cover. Furthermore, the accuracy of forest height modelling can be enhanced by combining ICESat-2 data collected during both leaf-on and leaf-off seasons with further eliminating low-quality samples. |
| first_indexed | 2024-03-09T14:34:15Z |
| format | Article |
| id | doaj.art-fbfad4bbf6834bc292c44b9a88d39af0 |
| institution | Directory Open Access Journal |
| issn | 1753-8947 1753-8955 |
| language | English |
| last_indexed | 2024-03-09T14:34:15Z |
| publishDate | 2023-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Digital Earth |
| spelling | doaj.art-fbfad4bbf6834bc292c44b9a88d39af02023-11-27T15:15:27ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552023-12-011624831484710.1080/17538947.2023.2285807Effect of leaf-on and leaf-off canopy conditions on forest height retrieval and modelling with ICESat-2 dataJialu Zhou0Yunyuan Deng1Sheng Nie2Jing Fu3Cheng Wang4Wenwu Zheng5Yue Sun6Faculty of Geography, Yunnan Normal University, Kunming, People’s Republic of ChinaCollege of Geography and Tourism, Hengyang Normal University, Hengyang, People’s Republic of ChinaInternational Research Center of Big Data for Sustainable Development Goals, Beijing, People’s Republic of ChinaCollege of Geography and Tourism, Hengyang Normal University, Hengyang, People’s Republic of ChinaFaculty of Geography, Yunnan Normal University, Kunming, People’s Republic of ChinaCollege of Geography and Tourism, Hengyang Normal University, Hengyang, People’s Republic of ChinaEast China Survey and Planning Institute, National Forestry and Grassland Administration, Hangzhou, People’s Republic of ChinaABSTRACTIce, Cloud, and land Elevation Satellite-2 (ICESat-2) provides effective photon-counting light detection and ranging (LiDAR) data for estimating forest height across extensive geographical areas. Although prior studies have illustrated canopy conditions during leaf-on and leaf-off phases may influence ICESat-2 derived forest heights, a comprehensive understanding of this effect remains incomplete. This study seeks to comprehensively assess how varying canopy conditions (leaf-on/leaf-off) affect ICESat-2 forest height retrieval and modelling. First, the accuracies of ICESat-2 terrain and canopy heights under leaf-on and leaf-off conditions were validated. Second, random forest algorithm was utilized to model forest height by integrating ICESat-2, Sentinel-2, and other ancillary datasets. Finally, we evaluated the influence of leaf-on and leaf-off conditions on forest height retrieval and modelling. Results reveal higher consistency between ICESat-2 and airborne LiDAR-derived terrain heights compared to the agreement between two canopy height datasets. Accuracies of ICESat-2 terrain and canopy heights are higher under leaf-off conditions in contrast to leaf-on conditions. Notably, the accuracies of ICESat-2 terrain and canopy heights under various conditions are closely linked to canopy cover. Furthermore, the accuracy of forest height modelling can be enhanced by combining ICESat-2 data collected during both leaf-on and leaf-off seasons with further eliminating low-quality samples.https://www.tandfonline.com/doi/10.1080/17538947.2023.2285807Forest heightterrain heightICESat-2space-borne LiDARphoton-countingleaf-on and leaf-off |
| spellingShingle | Jialu Zhou Yunyuan Deng Sheng Nie Jing Fu Cheng Wang Wenwu Zheng Yue Sun Effect of leaf-on and leaf-off canopy conditions on forest height retrieval and modelling with ICESat-2 data International Journal of Digital Earth Forest height terrain height ICESat-2 space-borne LiDAR photon-counting leaf-on and leaf-off |
| title | Effect of leaf-on and leaf-off canopy conditions on forest height retrieval and modelling with ICESat-2 data |
| title_full | Effect of leaf-on and leaf-off canopy conditions on forest height retrieval and modelling with ICESat-2 data |
| title_fullStr | Effect of leaf-on and leaf-off canopy conditions on forest height retrieval and modelling with ICESat-2 data |
| title_full_unstemmed | Effect of leaf-on and leaf-off canopy conditions on forest height retrieval and modelling with ICESat-2 data |
| title_short | Effect of leaf-on and leaf-off canopy conditions on forest height retrieval and modelling with ICESat-2 data |
| title_sort | effect of leaf on and leaf off canopy conditions on forest height retrieval and modelling with icesat 2 data |
| topic | Forest height terrain height ICESat-2 space-borne LiDAR photon-counting leaf-on and leaf-off |
| url | https://www.tandfonline.com/doi/10.1080/17538947.2023.2285807 |
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