Journal ArticleDOI
The ECOSTRESS spectral library version 1.0
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TLDR
The Advanced Spaceborne Thermal Emission Reflection Radiometer (ASTER) spectral library version 2.0 has been expanded to support ECOSTRESS studies by including major additions of laboratory measured vegetation and non-photosynthetic vegetation (NPV) spectra as discussed by the authors.About:
This article is published in Remote Sensing of Environment.The article was published on 2019-09-01. It has received 205 citations till now. The article focuses on the topics: Radiometer.read more
Citations
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Exploring New Multi-Instrument Approaches To Observing Terrestrial Ecosystems And The Carbon Cycle From Space
TL;DR: In this paper, the authors analyzed the spatial distribution of in situ data for carbon fluxes, stocks and plant traits globally and also evaluated the potential of remote sensing to observe these quantities.
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Cloud Masking for Landsat 8 and MODIS Terra Over Snow-Covered Terrain: Error Analysis and Spectral Similarity Between Snow and Cloud
TL;DR: Improvement in snow‐cloud discrimination in these cases will require more information than just the spectrum of the sensor's bands or will require deployment of a spaceborne imaging spectrometer, which could discriminate between snow and cloud under conditions where a multispectral sensor might not.
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Combined land surface emissivity and temperature estimation from Landsat 8 OLI and TIRS
TL;DR: In this article, the estimation of LST from the Thermal InfraRed Sensor (TIRS) on board Landsat 8 is evaluated using more than 6 years of in situ temperature measurements from a network of 14 autonomous weather Stations (AWS) in Belgium.
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Gaussian processes retrieval of LAI from Sentinel-2 top-of-atmosphere radiance data
José Estévez,Jorge Vicent,Juan Pablo Rivera-Caicedo,Pablo Morcillo-Pallarés,Francesco Vuolo,Neus Sabater,Gustau Camps-Valls,Jose Moreno,Jochem Verrelst +8 more
TL;DR: This study demonstrated that hybrid LAI retrieval algorithms can be developed from top-of-atmosphere (TOA) radiance data given a cloud-free sky, thus without the need of atmospheric correction.
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Automotive Lidar Modelling Approach Based on Material Properties and Lidar Capabilities
TL;DR: A new lidar modelling approach that takes material properties and corresponding lidar capabilities into account is presented, illustrated by presenting a lidar measurement campaign with a new Infineon lidar prototype and relevant data from 12 common lidar types.
References
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Journal ArticleDOI
Light scattering by leaf layers with application to canopy reflectance modeling: The SAIL model
TL;DR: In this article, the scattering and extinction coefficients of the SAIL canopy reflectance model were derived for the case of a fixed arbitrary leaf inclination angle and a random leaf azimuth distribution.
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The ASTER spectral library version 2.0
TL;DR: The Advanced Spaceborne Thermal Emission Reflection Radiometer (ASTER) on NASA's Terra platform has been widely used in geological and other science studies as mentioned in this paper, and a library of natural and man-made materials was compiled as the ASTER Spectral Library v1.2 and made available from http://speclib.nasa.gov.
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Remote sensing of foliar chemistry
TL;DR: In this article, stepwise multiple regression and deconvolution have been used to extract chemical information from foliar spectra, and concludes that both methods are useful, but neither is ideal.
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Spectral Properties of Plants
TL;DR: The spectral properties of plant leaves and stems have been obtained for ultraviolet, visible, and infrared frequencies as discussed by the authors, including reflectance, transmittance, and absorptance for certain plants.
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Mapping Chaparral in the Santa Monica Mountains Using Multiple Endmember Spectral Mixture Models
Dar A. Roberts,Margaret E. Gardner,Richard L. Church,Susan L. Ustin,G. Scheer,Robert O. Green,Robert O. Green +6 more
TL;DR: In this article, a study was initiated in the Santa Monica Mountains to investigate the use of the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) for providing improved maps of chaparral coupled with direct estimates of canopy attributes (eg. biomass, leaf area, fuel load).