2021
DOI: 10.3390/rs13193951
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Time Series Analysis of Land Cover Change in Dry Mountains: Insights from the Tajik Pamirs

Abstract: Greening and browning trends in vegetation have been observed in many regions of the world in recent decades. However, few studies focused on dry mountains. Here, we analyze trends of land cover change in the Western Pamirs, Tajikistan. We aim to gain a deeper understanding of these changes and thus improve remote sensing studies in dry mountainous areas. The study area is characterized by a complex set of attributes, making it a prime example for this purpose. We used generalized additive mixed models for the… Show more

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Cited by 2 publications
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“…Furthermore, increased population and economic activities have accelerated the conversion of forest and agricultural land to pasture, construction land, and horticultural land in the area [35]. Grassland expansion and degradation coexist in the western Pamirs of Tajikistan, where grassland expansion is dominant [36]. Although some studies [15,18] have analyzed spatiotemporal changes in land cover on the Qinghai-Tibet Plateau through long-term series data, investigations that compare spatiotemporal characteristics of land cover change across the whole plateau as well as in different countries within the plateau are relatively lacking.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, increased population and economic activities have accelerated the conversion of forest and agricultural land to pasture, construction land, and horticultural land in the area [35]. Grassland expansion and degradation coexist in the western Pamirs of Tajikistan, where grassland expansion is dominant [36]. Although some studies [15,18] have analyzed spatiotemporal changes in land cover on the Qinghai-Tibet Plateau through long-term series data, investigations that compare spatiotemporal characteristics of land cover change across the whole plateau as well as in different countries within the plateau are relatively lacking.…”
Section: Introductionmentioning
confidence: 99%