Comparative Verification of Leaf Area Index Products for Different Grassland Types in Inner Mongolia, China
Leaf area index (LAI) is a key indicator of vegetation structure and function, and its products have a wide range of applications in vegetation condition assessment and usually act as important input parameters for ecosystem modeling. Grassland plays an important role in regional climate change and...
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MDPI AG
2023-09-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/15/19/4736 |
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| author | Beibei Shen Jingpeng Guo Zhenwang Li Jiquan Chen Wei Fang Maira Kussainova Amartuvshin Amarjargal Alim Pulatov Ruirui Yan Oleg A. Anenkhonov Wenneng Zhou Xiaoping Xin |
| author_facet | Beibei Shen Jingpeng Guo Zhenwang Li Jiquan Chen Wei Fang Maira Kussainova Amartuvshin Amarjargal Alim Pulatov Ruirui Yan Oleg A. Anenkhonov Wenneng Zhou Xiaoping Xin |
| author_sort | Beibei Shen |
| collection | DOAJ |
| description | Leaf area index (LAI) is a key indicator of vegetation structure and function, and its products have a wide range of applications in vegetation condition assessment and usually act as important input parameters for ecosystem modeling. Grassland plays an important role in regional climate change and the global carbon cycle and numerous studies have focused on the product-based analysis of grassland vegetation changes. However, the performance of various LAI products and their discrepancies across different grassland types in drylands remain unclear. Therefore, it is critical to assess these products prior to application. We evaluated the accuracy of four commonly used LAI products (GEOV2, GLASS, GLOBMAP, and MODIS) using LAI reference maps based on both bridging and cross-validation approaches. Under different grassland types, the GLASS LAI performed better in meadow steppe (R<sup>2</sup> = 0.26, RMSE = 0.41 m<sup>2</sup>/m<sup>2</sup>) and typical steppe (R<sup>2</sup> = 0.32, RMSE = 0.38 m<sup>2</sup>/m<sup>2</sup>); the GEOV2 LAI performed better in desert steppe (R<sup>2</sup> = 0.39, RMSE = 0.30 m<sup>2</sup>/m<sup>2</sup>). When we assessed their spatial and temporal discrepancies during the period from 2010 to 2019, the four LAI products overall showed a high spatial and temporal consistency across the region. Compared with GLASS LAI, the most consistent to least consistent correlations can be ordered by GEOV2 LAI (R<sup>2</sup> = 0.94), MODIS LAI (R<sup>2</sup> = 0.92), and GLOBMAP LAI (R<sup>2</sup> = 0.87). The largest differences in LAI throughout the year occurred in July for all grassland types. Limited by the location and number of sample plots, we mainly focused on spatial and temporal variations. The spatial heterogeneity of land surface is pervasive, especially in vast grassland areas with rich grassland types, and the results of this study can provide a basis for the application of the product in different grassland types. Furthermore, it is essential to develop highly accurate and reliable satellite-based LAI products focused on grassland from the regional to the global scale according to these popular approaches, which is the next step in our work plan. |
| first_indexed | 2024-03-10T21:36:26Z |
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| id | doaj.art-123769dc15424717afc8d6dcf6a6ed08 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T21:36:26Z |
| publishDate | 2023-09-01 |
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| spelling | doaj.art-123769dc15424717afc8d6dcf6a6ed082023-11-19T14:59:17ZengMDPI AGRemote Sensing2072-42922023-09-011519473610.3390/rs15194736Comparative Verification of Leaf Area Index Products for Different Grassland Types in Inner Mongolia, ChinaBeibei Shen0Jingpeng Guo1Zhenwang Li2Jiquan Chen3Wei Fang4Maira Kussainova5Amartuvshin Amarjargal6Alim Pulatov7Ruirui Yan8Oleg A. Anenkhonov9Wenneng Zhou10Xiaoping Xin11National Hulunber Grassland Ecosystem Observation and Research Station, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaCollege of Ecology and Environment, Inner Mongolia University, Hohhot 010018, ChinaJiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College, Yangzhou University, Yangzhou 225009, ChinaDepartment of Geography, Environment, and Spatial Sciences, Michigan State University, East Lansing, MI 48824, USADepartment of Biology, Pace University, New York, NY 10038, USASustainable Agriculture Center, Kazakh National Agrarian Research University, Almaty 050010, KazakhstanDepartment of Economics, University of the Humanities, Ulaanbaatar P.O. Box 210646/53, MongoliaEcoGIS Center, National Research University “Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” (NRU-TIIAME), Tashkent 100000, UzbekistanNational Hulunber Grassland Ecosystem Observation and Research Station, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaInstitute of General and Experimental Biology, Siberian Branch, Russian Academy of Sciences, Ulan-Ude 670047, RussiaSchool of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou 510006, ChinaNational Hulunber Grassland Ecosystem Observation and Research Station, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, ChinaLeaf area index (LAI) is a key indicator of vegetation structure and function, and its products have a wide range of applications in vegetation condition assessment and usually act as important input parameters for ecosystem modeling. Grassland plays an important role in regional climate change and the global carbon cycle and numerous studies have focused on the product-based analysis of grassland vegetation changes. However, the performance of various LAI products and their discrepancies across different grassland types in drylands remain unclear. Therefore, it is critical to assess these products prior to application. We evaluated the accuracy of four commonly used LAI products (GEOV2, GLASS, GLOBMAP, and MODIS) using LAI reference maps based on both bridging and cross-validation approaches. Under different grassland types, the GLASS LAI performed better in meadow steppe (R<sup>2</sup> = 0.26, RMSE = 0.41 m<sup>2</sup>/m<sup>2</sup>) and typical steppe (R<sup>2</sup> = 0.32, RMSE = 0.38 m<sup>2</sup>/m<sup>2</sup>); the GEOV2 LAI performed better in desert steppe (R<sup>2</sup> = 0.39, RMSE = 0.30 m<sup>2</sup>/m<sup>2</sup>). When we assessed their spatial and temporal discrepancies during the period from 2010 to 2019, the four LAI products overall showed a high spatial and temporal consistency across the region. Compared with GLASS LAI, the most consistent to least consistent correlations can be ordered by GEOV2 LAI (R<sup>2</sup> = 0.94), MODIS LAI (R<sup>2</sup> = 0.92), and GLOBMAP LAI (R<sup>2</sup> = 0.87). The largest differences in LAI throughout the year occurred in July for all grassland types. Limited by the location and number of sample plots, we mainly focused on spatial and temporal variations. The spatial heterogeneity of land surface is pervasive, especially in vast grassland areas with rich grassland types, and the results of this study can provide a basis for the application of the product in different grassland types. Furthermore, it is essential to develop highly accurate and reliable satellite-based LAI products focused on grassland from the regional to the global scale according to these popular approaches, which is the next step in our work plan.https://www.mdpi.com/2072-4292/15/19/4736LAI productsbridging methodcross-validationLandsat8 OLIgrassland typesInner Mongolia |
| spellingShingle | Beibei Shen Jingpeng Guo Zhenwang Li Jiquan Chen Wei Fang Maira Kussainova Amartuvshin Amarjargal Alim Pulatov Ruirui Yan Oleg A. Anenkhonov Wenneng Zhou Xiaoping Xin Comparative Verification of Leaf Area Index Products for Different Grassland Types in Inner Mongolia, China Remote Sensing LAI products bridging method cross-validation Landsat8 OLI grassland types Inner Mongolia |
| title | Comparative Verification of Leaf Area Index Products for Different Grassland Types in Inner Mongolia, China |
| title_full | Comparative Verification of Leaf Area Index Products for Different Grassland Types in Inner Mongolia, China |
| title_fullStr | Comparative Verification of Leaf Area Index Products for Different Grassland Types in Inner Mongolia, China |
| title_full_unstemmed | Comparative Verification of Leaf Area Index Products for Different Grassland Types in Inner Mongolia, China |
| title_short | Comparative Verification of Leaf Area Index Products for Different Grassland Types in Inner Mongolia, China |
| title_sort | comparative verification of leaf area index products for different grassland types in inner mongolia china |
| topic | LAI products bridging method cross-validation Landsat8 OLI grassland types Inner Mongolia |
| url | https://www.mdpi.com/2072-4292/15/19/4736 |
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