Comparative Verification of Leaf Area Index Products for Different Grassland Types in Inner Mongolia, China

Author:

Shen Beibei12,Guo Jingpeng3,Li Zhenwang4,Chen Jiquan5ORCID,Fang Wei6ORCID,Kussainova Maira7,Amarjargal Amartuvshin8,Pulatov Alim9ORCID,Yan Ruirui1ORCID,Anenkhonov Oleg A.10ORCID,Zhou Wenneng11,Xin Xiaoping1

Affiliation:

1. National Hulunber Grassland Ecosystem Observation and Research Station, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China

2. Aerospace Science and Industry (Beijing) Spatial Information Application Co., Ltd., Beijing 100070, China

3. College of Ecology and Environment, Inner Mongolia University, Hohhot 010018, China

4. Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College, Yangzhou University, Yangzhou 225009, China

5. Department of Geography, Environment, and Spatial Sciences, Michigan State University, East Lansing, MI 48824, USA

6. Department of Biology, Pace University, New York, NY 10038, USA

7. Sustainable Agriculture Center, Kazakh National Agrarian Research University, Almaty 050010, Kazakhstan

8. Department of Economics, University of the Humanities, Ulaanbaatar P.O. Box 210646/53, Mongolia

9. EcoGIS Center, National Research University “Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” (NRU-TIIAME), Tashkent 100000, Uzbekistan

10. Institute of General and Experimental Biology, Siberian Branch, Russian Academy of Sciences, Ulan-Ude 670047, Russia

11. School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou 510006, China

Abstract

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 (R2 = 0.26, RMSE = 0.41 m2/m2) and typical steppe (R2 = 0.32, RMSE = 0.38 m2/m2); the GEOV2 LAI performed better in desert steppe (R2 = 0.39, RMSE = 0.30 m2/m2). 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 (R2 = 0.94), MODIS LAI (R2 = 0.92), and GLOBMAP LAI (R2 = 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.

Funder

National Key Research and Development Program of China

Natural Science Foundation of China

the National Natural Science Foundation of China

Special Funding for Modern Agricultural Technology Systems from the Chinese Ministry of Agriculture

Fundamental Research Funds Central Non-profit Scientific Institution

Institute of General and Experimental Biology SB RAS

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

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