DLR Earth Sensing Imaging Spectrometer (DESIS) Level 1 Product Evaluation Using RadCalNet Measurements [PDF]
Remote Sensing, 2021 The DLR Earth Sensing Imaging Spectrometer (DESIS) is the first hyperspectral imaging spectrometer installed in the Multi-User System for Earth Sensing (MUSES) on the International Space Station (ISS) for acquiring routine science grade images from orbit.
Mahesh Shrestha +2 more
exaly +4 more sources
Uncertainty Analysis for RadCalNet Instrumented Test Sites Using the Baotou Sites BTCN and BSCN as Examples [PDF]
Remote Sensing, 2020 Vicarious calibration and validation techniques are important tools to ensure the long-term stability and inter-sensor consistency of satellite sensors making observations in the solar-reflective spectral domain.
Yongguang Zhao +2 more
exaly +4 more sources
Remote Sensing, 2023 Combining images from multiple Earth Observing (EO) satellites increases the temporal resolution of the data, overcoming the limitations imposed by low revisit time and cloud coverage.
Norvik Voskanian +2 more
exaly +4 more sources
Radiometric Calibration of GF5-02 Advanced Hyperspectral Imager Based on RadCalNet Baotou Site
Remote Sensing, 2023 In this study, an on-orbit radiometric calibration campaign of the GF5-02 AHSI was performed at the RadCalNet Baotou site, based on the automated observation of reflectance and atmospheric parameters of a 300 m × 300 m homogeneous desert area.
Hongzhao Tang, Kun Shang, Taixia Wu
exaly +4 more sources
RadCalNet: A Radiometric Calibration Network for Earth Observing Imagers Operating in the Visible to Shortwave Infrared Spectral Range [PDF]
Remote Sensing, 2019 Vicarious calibration approaches using in situ measurements saw first use in the early 1980s and have since improved to keep pace with the evolution of the radiometric requirements of the sensors that are being calibrated.
Marc Bouvet +2 more
exaly +4 more sources
Evaluation of SNPP and NOAA-20 VIIRS Datasets Using RadCalNet and Landsat 8/OLI Data
Remote Sensing, 2022 In this study, we used RVUS data from RadCalNet as a benchmark to verify the radiometric accuracy and stability of operational and reprocessed SNPP/VIIRS data and the accuracy of NOAA-20/VIIRS data, as well as to assess the efficiency of the SNPP/VIIRS ...
Xin Jing, Sirish Uprety, Bin Zhang
exaly +5 more sources
iCOR Atmospheric Correction on Sentinel-3/OLCI over Land: Intercomparison with AERONET, RadCalNet, and SYN Level-2 [PDF]
Remote Sensing, 2021 To validate the iCOR atmospheric correction algorithm applied to the Sentinel-3 Ocean and Land Color Instrument (OLCI), Top-of-Atmosphere (TOA) observations over land, globally retrieved Aerosol Optical Thickness (AOT), Top-of-Canopy (TOC) reflectance ...
Erwin Wolters +2 more
exaly +5 more sources
A Validation Experiment of the Reflectance Products of KOMPSAT-3A Based on RadCalNet Data and Its Applicability to Vegetation Indexing [PDF]
Remote Sensing, 2020 Surface reflectance products obtained through the absolute atmospheric correction of multispectral satellite images are useful for precise scientific applications.
Kwangseob Kim, Kiwon Lee, Lee Kiwon
exaly +4 more sources
Radiometric Top-of-Atmosphere Reflectance Consistency Assessment for Landsat 8/OLI, Sentinel-2/MSI, PROBA-V, and DEIMOS-1 over Libya-4 and RadCalNet Calibration Sites [PDF]
Remote Sensing, 2019 There is a clear trend toward the use of higher spatial resolution satellite sensors. Due to the low revisit time of these sensors and frequent cloud coverage, many applications require data from different sensors to be combined in order to have more ...
Sindy Sterckx, Erwin Wolters
exaly +4 more sources
PACO: Python-Based Atmospheric COrrection. [PDF]
Sensors (Basel), 2020 The atmospheric correction of satellite images based on radiative transfer calculations is a prerequisite for many remote sensing applications. The software package ATCOR, developed at the German Aerospace Center (DLR), is a versatile atmospheric ...
de Los Reyes R +9 more
europepmc +2 more sources