The role of Remote Sensing in land degradation assessments: opportunities and challenges

Land degradation (LD) is one of the biggest global challenges for the people’s livelihoods and environment. Remote Sensing plays an unprecedented role in LD mapping, assessment and monitoring at multiple spatial and temporal scales. Regardless of a big potential of Remote Sensing to support LD studi...

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Main Author: Olena Dubovyk
Format: Article
Language:English
Published: Taylor & Francis Group 2017-01-01
Series:European Journal of Remote Sensing
Subjects:
Online Access:http://dx.doi.org/10.1080/22797254.2017.1378926
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spelling doaj-f5297a4337ea4a9a8518f941670381472020-11-25T02:22:00ZengTaylor & Francis GroupEuropean Journal of Remote Sensing2279-72542017-01-0150160161310.1080/22797254.2017.13789261378926The role of Remote Sensing in land degradation assessments: opportunities and challengesOlena Dubovyk0University of BonnLand degradation (LD) is one of the biggest global challenges for the people’s livelihoods and environment. Remote Sensing plays an unprecedented role in LD mapping, assessment and monitoring at multiple spatial and temporal scales. Regardless of a big potential of Remote Sensing to support LD studies, there are still quite a few challenges that impede its successful application. This paper provides a logical synthesis of the role of Remote Sensing for LD assessments. First, background information on definition of LD and existing assessment frameworks are provided. This follows with the synthesis of the areas of application of Remote Sensing for LD analysis and a brief review of the major Remote Sensing variables used in LD studies. The paper further argues for multi-scale and cross-scale LD assessments calling for application-oriented solutions and highlighting the need of in situ data for validation of Remote Sensing-based LD maps. This claim is illustrated by an example of a case study in Uzbekistan.http://dx.doi.org/10.1080/22797254.2017.1378926Land degradationmulti-scale analysissustainable development goalsvalidationEarth Observationsustainable land management
collection DOAJ
language English
format Article
sources DOAJ
author Olena Dubovyk
spellingShingle Olena Dubovyk
The role of Remote Sensing in land degradation assessments: opportunities and challenges
European Journal of Remote Sensing
Land degradation
multi-scale analysis
sustainable development goals
validation
Earth Observation
sustainable land management
author_facet Olena Dubovyk
author_sort Olena Dubovyk
title The role of Remote Sensing in land degradation assessments: opportunities and challenges
title_short The role of Remote Sensing in land degradation assessments: opportunities and challenges
title_full The role of Remote Sensing in land degradation assessments: opportunities and challenges
title_fullStr The role of Remote Sensing in land degradation assessments: opportunities and challenges
title_full_unstemmed The role of Remote Sensing in land degradation assessments: opportunities and challenges
title_sort role of remote sensing in land degradation assessments: opportunities and challenges
publisher Taylor & Francis Group
series European Journal of Remote Sensing
issn 2279-7254
publishDate 2017-01-01
description Land degradation (LD) is one of the biggest global challenges for the people’s livelihoods and environment. Remote Sensing plays an unprecedented role in LD mapping, assessment and monitoring at multiple spatial and temporal scales. Regardless of a big potential of Remote Sensing to support LD studies, there are still quite a few challenges that impede its successful application. This paper provides a logical synthesis of the role of Remote Sensing for LD assessments. First, background information on definition of LD and existing assessment frameworks are provided. This follows with the synthesis of the areas of application of Remote Sensing for LD analysis and a brief review of the major Remote Sensing variables used in LD studies. The paper further argues for multi-scale and cross-scale LD assessments calling for application-oriented solutions and highlighting the need of in situ data for validation of Remote Sensing-based LD maps. This claim is illustrated by an example of a case study in Uzbekistan.
topic Land degradation
multi-scale analysis
sustainable development goals
validation
Earth Observation
sustainable land management
url http://dx.doi.org/10.1080/22797254.2017.1378926
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