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Monitoring LAI, Chlorophylls, and Carotenoids Content of a Woodland Savanna Using Hyperspectral Imagery and 3D Radiative Transfer Modeling

Abstract : Leaf pigment contents, such as chlorophylls a and b content (Cab) or carotenoids content (Car), and the Leaf Area Index (LAI) are recognized indicators of plants and forests health status that can be estimated through hyperspectral imagery. Their measurement on a seasonal and yearly basis is critical to monitor plant response and adaptation to stress such as droughts. While extensively done over dense canopies, estimation of these variables over tree-grass ecosystems with very low overstory LAI (mean site LAI<1 m²/m²), such as woodland savannas, is lacking. We investigate the use of Look-Up Table (LUT) based inversion of a Radiative Transfer Model to retrieve LAI and leaf Cab and Car from AVIRIS images at an 18 m spatial resolution at multiple dates over a broadleaved woodland savanna during the California drought. We compare the performances of different cost functions in the inversion step. We demonstrate the spatial consistency of our LAI, Cab and Car estimations by using validation data from low and high canopy cover parts of the site, and their temporal consistency by qualitatively confronting their variations over two years with those that would be expected. We conclude that LUT-based inversions of medium-resolution hyperspectral images, achieved with a simple geometric representation of the canopy within a 3D RTM, are a valid mean of monitoring woodland savannas and more generally sparse forests, although for maximum applicability the inversion cost functions should be selected using validation data from multiple dates. Validation revealed that for monitoring use: NDVI outperformed other indices for LAI estimations (RMSE=0.22 m²/m², R²=0.81); the band ratio rho_0.750µm/rho_0.550µm retrieved Cab more accurately than other chlorophylls indices (RMSE=5.94 µg/cm², R²=0.75); RMSE over the 0.5-0.55 µm interval showed encouraging results for Car estimations.
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Contributor : Cécile André Connect in order to contact the contributor
Submitted on : Friday, January 17, 2020 - 11:01:45 AM
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Thomas Miraglio, Karine Adeline, Margarita Huesca, Susan Ustin, Xavier Briottet. Monitoring LAI, Chlorophylls, and Carotenoids Content of a Woodland Savanna Using Hyperspectral Imagery and 3D Radiative Transfer Modeling. Remote Sensing, MDPI, 2019, 12 (1), 028, p. 1-26. ⟨10.3390/rs12010028⟩. ⟨hal-02443482⟩



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