Open soil surface brightness as a direct sign for soil recognition on LANDSAT images

The variability of the brightness heterogeneities of the open chernozemic soil surface on LANDSAT images obtained in different seasons and different dates of survey were investigated. The brightness of the images (3 band) was unstable and considerably changes from one period of survey to another eve...

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Main Author: I. Yu. Savin
Format: Article
Language:Russian
Published: V.V. Dokuchaev Soil Science Institute 2013-06-01
Series:Бюллетень Почвенного института им. В.В. Докучаева
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Online Access:https://bulletin.esoil.ru/jour/article/view/518
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author I. Yu. Savin
author_facet I. Yu. Savin
author_sort I. Yu. Savin
collection DOAJ
description The variability of the brightness heterogeneities of the open chernozemic soil surface on LANDSAT images obtained in different seasons and different dates of survey were investigated. The brightness of the images (3 band) was unstable and considerably changes from one period of survey to another even within the one season of the year. Obtained results lead to the conclusion that during the automated recognition of soils on the satellite images the analysis of brightness of single image cannot serve as reliable basis for the digital soil mapping.
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institution Matheson Library
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language Russian
publishDate 2013-06-01
publisher V.V. Dokuchaev Soil Science Institute
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series Бюллетень Почвенного института им. В.В. Докучаева
spelling doaj-art-bccbce297a8d41d8b7d2e140f11f6afb2025-08-03T13:37:41ZrusV.V. Dokuchaev Soil Science InstituteБюллетень Почвенного института им. В.В. Докучаева0136-16942312-42022013-06-01071526410.19047/0136-1694-2013-71-52-64452Open soil surface brightness as a direct sign for soil recognition on LANDSAT imagesI. Yu. Savin0Почвенный институт им. В.В. Докучаева РоссельхозакадемииThe variability of the brightness heterogeneities of the open chernozemic soil surface on LANDSAT images obtained in different seasons and different dates of survey were investigated. The brightness of the images (3 band) was unstable and considerably changes from one period of survey to another even within the one season of the year. Obtained results lead to the conclusion that during the automated recognition of soils on the satellite images the analysis of brightness of single image cannot serve as reliable basis for the digital soil mapping.https://bulletin.esoil.ru/jour/article/view/518дешифрирование почвдешифровочные признакиlandsatsoil recognition on satellite imagessoil recognition signslandsat
spellingShingle I. Yu. Savin
Open soil surface brightness as a direct sign for soil recognition on LANDSAT images
Бюллетень Почвенного института им. В.В. Докучаева
дешифрирование почв
дешифровочные признаки
landsat
soil recognition on satellite images
soil recognition signs
landsat
title Open soil surface brightness as a direct sign for soil recognition on LANDSAT images
title_full Open soil surface brightness as a direct sign for soil recognition on LANDSAT images
title_fullStr Open soil surface brightness as a direct sign for soil recognition on LANDSAT images
title_full_unstemmed Open soil surface brightness as a direct sign for soil recognition on LANDSAT images
title_short Open soil surface brightness as a direct sign for soil recognition on LANDSAT images
title_sort open soil surface brightness as a direct sign for soil recognition on landsat images
topic дешифрирование почв
дешифровочные признаки
landsat
soil recognition on satellite images
soil recognition signs
landsat
url https://bulletin.esoil.ru/jour/article/view/518
work_keys_str_mv AT iyusavin opensoilsurfacebrightnessasadirectsignforsoilrecognitiononlandsatimages