Retrieval and validation of vertical LAI profile derived from airborne and spaceborne LiDAR data at a deciduous needleleaf forest site

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چکیده

Leaf area index (LAI) is defined as one half of the total green leaf per unit ground surface area. Its vertical profile critical for understanding remote sensing radiative transfer processes. LAI has been derived from airborne and spaceborne LiDAR data, such Global Ecosystem Dynamics Investigation (GEDI) installed on International Space Station. However, capability various algorithms estimation with not clearly evaluated, estimated profiles, including GEDI products, are fully validated. This study conducted a quantitative retrieval validation profiles using terrestrial laser scanning (TLS ALS) data over deciduous needleleaf forest site in northern China. The was field an upward digital hemispherical photography (DHP) attached to portable measurement system 2020 2021. A suite new indices combining both return number intensity explored estimation. All obtained DHP, TLS, ALS, during leaf-on season leaf-off were compared. DHP shows good agreement TLS (R2 = 0.97). ALS combined light penetration (LPIRI) agrees well ≥0.86) estimates. In general, LPIRI advantageous regional mapping ALS. cumulative corresponds 0.90, RMSE 0.23), but underestimates 0.70, 0.14, bias=−0.13). underestimation attributed higher canopy reflectance ratio (ρv/ρg) assigned algorithm height discrepancy between measurements. For product, further improvement necessary other biome types landscape conditions, especially season.

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ژورنال

عنوان ژورنال: Giscience & Remote Sensing

سال: 2023

ISSN: ['1548-1603', '1943-7226']

DOI: https://doi.org/10.1080/15481603.2023.2214987