2021
DOI: 10.24057/probl.geogr.152.8
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LAND USE AND LAND DEGRADATION ISSUES IN THE CONTEXT OF THE UNESCO “MAN & BIOSPHERE” PROGRAMME

Abstract: A brief historical overview of approaches to study the problem of land use and land degradation in the MAB UNESCO program is provided. Over the past 50 years these issues remain important although the general strategic approach to their research and solving has changed from a multilateral study of land management and land degradation in different geographic and socio-economic conditions with an emphasis on natural diversity, to practices and approaches of sustainable land management in biosphere reserves, as r… Show more

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(6 citation statements)
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“…At the same time, almost all such studies noted that specific data obtained from global databases differ to various extents from ground and statistical data; also, the Trends.Earth platform, which uses a relatively low data resolution (250–300 m) was deemed problematic for local assessment due to the possible mismatch of boundaries and erroneous interpretation of satellite imagery (Figure 2). Additional studies displayed that the use of LANDSAT satellite imagery and neural networks for image interpretation, as well as the clarification of land types list, provide an opportunity to increase the mapping accuracy by at least 70‐times and simultaneously correct the interpretation of positive and negative dynamics for a specific site (Kust et al, 2021). Although this approach is relatively laborious, it becomes useful for local LDN estimates (Figures 3, 4) (RSF, 2020).…”
Section: Resultsmentioning
confidence: 99%
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“…At the same time, almost all such studies noted that specific data obtained from global databases differ to various extents from ground and statistical data; also, the Trends.Earth platform, which uses a relatively low data resolution (250–300 m) was deemed problematic for local assessment due to the possible mismatch of boundaries and erroneous interpretation of satellite imagery (Figure 2). Additional studies displayed that the use of LANDSAT satellite imagery and neural networks for image interpretation, as well as the clarification of land types list, provide an opportunity to increase the mapping accuracy by at least 70‐times and simultaneously correct the interpretation of positive and negative dynamics for a specific site (Kust et al, 2021). Although this approach is relatively laborious, it becomes useful for local LDN estimates (Figures 3, 4) (RSF, 2020).…”
Section: Resultsmentioning
confidence: 99%
“…Pilot study for local assessment of land cover change (Middle Volga Biosphere Reserve area, Samara region), by (Kust et al, 2021). (a).…”
Section: Resultsmentioning
confidence: 99%
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