Xiyan Wu

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—Multiple leaf area index (LAI) products have been generated from remote-sensing data. Among them, the Moderate-Resolution Imaging Spectroradiometer (MODIS) LAI product (MOD15A2) is now routinely derived from data acquired by MODIS sensors onboard Terra and Aqua satellite platforms. However, the MODIS LAI product is not spatially and temporally continuous(More)
Leaf area index (LAI) is an important vegetation biophysical variable, and has been widely applied to estimation of crop yield, evapotranspiration, and net photosynthesis. Currently, there are many methods to estimate LAI from remote sensing data through the statistical relationship between LAI and spectral vegetation indices, physical model inversion or(More)
In this study, we proposed three optimized models for calculating the total volume of landslides triggered by the 2008 Wenchuan, China Mw 7.9 earthquake. First, we calculated the volume of each deposit of 1,415 landslides triggered by the quake based on pre- and post-quake DEMs in 20 m resolution. The samples were used to fit the conventional landslide(More)
Leaf area index (LAI) is an important parameter in canopy interception, evapotranspiration, and net photosynthesis. Satellite remote sensing enables derivation of LAI globally at desired spatial resolution and temporal frequency. And several LAI products have been produced from data acquired by Moderate Resolution Imaging Spectroradiometer (MODIS),(More)
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