Multi-Spectral Lidar: Radiometric Calibration, Canopy Spectral Reflectance, and Vegetation Vertical SVI Profiles
نویسندگان
چکیده
منابع مشابه
Modelling Canopy Reflectance with Spectral Invariants
ABSTRACT: The concept of using spectral invariants to describe the scattering and absorption processes in a vegetation canopy has been developed for application to remote sensing studies in recent years. It has been shown that an average ‘recollision probability’ can describe the main impacts of structure on directional-hemispherical scattering and transmission, and there has been some indicati...
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Remote sensing of terrestrial vegetation has been successful thanks to the unique spectral characteristics of green vegetation, low reflectance in red and high reflectance in Near-InfraRed (NIR). These spectral characteristics were used to develop vegetation indices, including Normalized Difference Vegetation Index (NDVI). However, the NIR absorption by water and light scattering from suspended...
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Calibration of spectral and radiometric measurements of the Advanced Land Imager (ALI) is a critical element of its land-sensing mission. Without initial ground-based and subsequent on-orbit standardization, the data cannot be reliably used for the intricate analysis of atmospheric conditions and complex surface regions. Daily, weekly, and monthly recertification steps are taken to recalibrate ...
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The soil or background spectra contribution to grass canopy spectral reflectance for the 0.35 to 0.80 fJ-m region was investigated using in situ collected spectral reflectance data. Regression analysis was used to estimate accurately the unexposed soil spectral reflectance and to quantify maxima and minima for soil-green vegetation reflection contrasts. generally be impractical to take detailed...
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2019
ISSN: 2072-4292
DOI: 10.3390/rs11131556