Data for: Development of a snow kernel to better model the anisotropic reflectance of pure snow in a kernel-driven BRDF model framework

1. About the visulization tool for the RossThick-LiSparseReciprocal-Snow (RTLSRS for short) BRDF model. This is the description for the interface and operation of the # rtlsr_gui.sav application, which can be used to launch runtime IDL applications. Source code will be offerred on request from email...

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Bibliographic Details
Main Author: Jiao, Ziti
Format: Dataset
Language:unknown
Published: Mendeley 2018
Subjects:
Online Access:https://dx.doi.org/10.17632/7w3pmrwjd6.1
https://data.mendeley.com/datasets/7w3pmrwjd6/1
id ftdatacite:10.17632/7w3pmrwjd6.1
record_format openpolar
spelling ftdatacite:10.17632/7w3pmrwjd6.1 2023-05-15T16:30:36+02:00 Data for: Development of a snow kernel to better model the anisotropic reflectance of pure snow in a kernel-driven BRDF model framework Jiao, Ziti 2018 https://dx.doi.org/10.17632/7w3pmrwjd6.1 https://data.mendeley.com/datasets/7w3pmrwjd6/1 unknown Mendeley https://dx.doi.org/10.1016/j.rse.2018.11.001 https://dx.doi.org/10.17632/7w3pmrwjd6 Creative Commons Attribution 4.0 International info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Radiative Transfer Kernel Method Reflectance Modeling Optical Anisotropy Remote Sensing of Ice and Snow dataset Dataset 2018 ftdatacite https://doi.org/10.17632/7w3pmrwjd6.1 https://doi.org/10.1016/j.rse.2018.11.001 https://doi.org/10.17632/7w3pmrwjd6 2021-11-05T12:55:41Z 1. About the visulization tool for the RossThick-LiSparseReciprocal-Snow (RTLSRS for short) BRDF model. This is the description for the interface and operation of the # rtlsr_gui.sav application, which can be used to launch runtime IDL applications. Source code will be offerred on request from email: jiaozt@bnu.edu.cn. "Constrain" botton on this application interface inplements the function that does not allow negative model parameters, which are suggested by MODIS BRDF parameter product. 2. Environment:need to install IDL8.2 and above 3. Data format:this tool supports the input format of text file. The specific input format is requested as follows: the first line defines the number of multi-angle observations and the number of bands for the multi-angle input dataset, respectively. From the beginning of the second line, each line defines an observation with each sample representing the viewing and solar geometries (in degree) and the reflectances in different bands. Specifically, from left to right, each sample represents view zenith angle,view azimuth angle,solar zenith angle,view azimuth angle and the reflectance of each band in sequence. 4. The exemplary data A typical POLDER example was obtained in Apr. 2006 from the file "brdf_ndvi02.0216_3046.txt." in POLDER database. This pixel is located on the central North Greenland Ice Sheet (i.e., 52.1W, 78.03N) and was recorded to represent a relatively pure snow and ice IGBP class with a Normalized Difference Vegetation Index (NDVI) value of -0.03. This pixel incorporates more than 1,000 POLDER reflectances and 70 solar angles representing a very good BRDF sampling distribution. The method proposed by Breon (2005) should be utilized to correct the viewing geometry from the original POLDER measurements that offer two correction parameters (DVzC and DVzA), which was used in the paper. However, please note that this input example file including 6-band observations is not corrected for the viewing geometries. Input directory: contains an input example file, e.g., "brdf_ndvi02.0216_3046.txt". Output directory: contains the corresponding output example file, e.g.,"brdf_ndvi02.0216_3046_result.txt". 5. All validation data for the RTLSRS model are open and available to users following the details of the paper. Dataset Greenland Ice Sheet North Greenland DataCite Metadata Store (German National Library of Science and Technology) Greenland
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Radiative Transfer
Kernel Method
Reflectance Modeling
Optical Anisotropy
Remote Sensing of Ice and Snow
spellingShingle Radiative Transfer
Kernel Method
Reflectance Modeling
Optical Anisotropy
Remote Sensing of Ice and Snow
Jiao, Ziti
Data for: Development of a snow kernel to better model the anisotropic reflectance of pure snow in a kernel-driven BRDF model framework
topic_facet Radiative Transfer
Kernel Method
Reflectance Modeling
Optical Anisotropy
Remote Sensing of Ice and Snow
description 1. About the visulization tool for the RossThick-LiSparseReciprocal-Snow (RTLSRS for short) BRDF model. This is the description for the interface and operation of the # rtlsr_gui.sav application, which can be used to launch runtime IDL applications. Source code will be offerred on request from email: jiaozt@bnu.edu.cn. "Constrain" botton on this application interface inplements the function that does not allow negative model parameters, which are suggested by MODIS BRDF parameter product. 2. Environment:need to install IDL8.2 and above 3. Data format:this tool supports the input format of text file. The specific input format is requested as follows: the first line defines the number of multi-angle observations and the number of bands for the multi-angle input dataset, respectively. From the beginning of the second line, each line defines an observation with each sample representing the viewing and solar geometries (in degree) and the reflectances in different bands. Specifically, from left to right, each sample represents view zenith angle,view azimuth angle,solar zenith angle,view azimuth angle and the reflectance of each band in sequence. 4. The exemplary data A typical POLDER example was obtained in Apr. 2006 from the file "brdf_ndvi02.0216_3046.txt." in POLDER database. This pixel is located on the central North Greenland Ice Sheet (i.e., 52.1W, 78.03N) and was recorded to represent a relatively pure snow and ice IGBP class with a Normalized Difference Vegetation Index (NDVI) value of -0.03. This pixel incorporates more than 1,000 POLDER reflectances and 70 solar angles representing a very good BRDF sampling distribution. The method proposed by Breon (2005) should be utilized to correct the viewing geometry from the original POLDER measurements that offer two correction parameters (DVzC and DVzA), which was used in the paper. However, please note that this input example file including 6-band observations is not corrected for the viewing geometries. Input directory: contains an input example file, e.g., "brdf_ndvi02.0216_3046.txt". Output directory: contains the corresponding output example file, e.g.,"brdf_ndvi02.0216_3046_result.txt". 5. All validation data for the RTLSRS model are open and available to users following the details of the paper.
format Dataset
author Jiao, Ziti
author_facet Jiao, Ziti
author_sort Jiao, Ziti
title Data for: Development of a snow kernel to better model the anisotropic reflectance of pure snow in a kernel-driven BRDF model framework
title_short Data for: Development of a snow kernel to better model the anisotropic reflectance of pure snow in a kernel-driven BRDF model framework
title_full Data for: Development of a snow kernel to better model the anisotropic reflectance of pure snow in a kernel-driven BRDF model framework
title_fullStr Data for: Development of a snow kernel to better model the anisotropic reflectance of pure snow in a kernel-driven BRDF model framework
title_full_unstemmed Data for: Development of a snow kernel to better model the anisotropic reflectance of pure snow in a kernel-driven BRDF model framework
title_sort data for: development of a snow kernel to better model the anisotropic reflectance of pure snow in a kernel-driven brdf model framework
publisher Mendeley
publishDate 2018
url https://dx.doi.org/10.17632/7w3pmrwjd6.1
https://data.mendeley.com/datasets/7w3pmrwjd6/1
geographic Greenland
geographic_facet Greenland
genre Greenland
Ice Sheet
North Greenland
genre_facet Greenland
Ice Sheet
North Greenland
op_relation https://dx.doi.org/10.1016/j.rse.2018.11.001
https://dx.doi.org/10.17632/7w3pmrwjd6
op_rights Creative Commons Attribution 4.0 International
info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.17632/7w3pmrwjd6.1
https://doi.org/10.1016/j.rse.2018.11.001
https://doi.org/10.17632/7w3pmrwjd6
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