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2023
DOI: 10.1016/j.catena.2022.106674
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The dominant driving factors of rocky desertification and their variations in typical mountainous karst areas of southwest China in the context of global change

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Cited by 50 publications
(20 citation statements)
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“…According to the changes of land-use intensity [ 34 , 35 ] in different buffers around the road networks of the study area over the past 17 years ( Figure 6 ), the overall trend in the industrial areas centered around the axis of human activity in the main road networks, which decreased slightly in concentric bands from the center to the periphery with spatial values from 1.72 to 2.32. Among them, the land-use intensity was the highest in the urban expansion areas, and was the lowest in the transition areas.…”
Section: Resultsmentioning
confidence: 99%
“…According to the changes of land-use intensity [ 34 , 35 ] in different buffers around the road networks of the study area over the past 17 years ( Figure 6 ), the overall trend in the industrial areas centered around the axis of human activity in the main road networks, which decreased slightly in concentric bands from the center to the periphery with spatial values from 1.72 to 2.32. Among them, the land-use intensity was the highest in the urban expansion areas, and was the lowest in the transition areas.…”
Section: Resultsmentioning
confidence: 99%
“…Affected by Himalayan movement, the Qinghai-Tibet Plateau has been rapidly uplifted, and the karst areas in Guizhou have developed a typical plate-canyon landform. The basic characteristics of the surface are broken and rugged terrain, a thin soil layer, a small area of cultivated land with poor quality, low land carrying capacity, and extremely fragile ecosystems [44,45]. Farmers living in this area have long been affected by natural disasters such as soil erosion, landslides, debris flows, drought, and floods, which have gradually led to large areas of KRD [46].…”
Section: Study Areamentioning
confidence: 99%
“…Some scholars have also used it in archaeology [10], [11], ancient building conservation [12], deformation monitoring [13], [14], and large-scale engineering safety [15]. UAV photogrammetry has the characteristics of high efficiency, low cost, automation [16], [17], and distinctive spatial and temporal resolution compared with other remote sensing technologies [18]- [20]. It has high adaptability to deal with complex terrain and high flexibility to choose different UAV types for different needs [21], [22].…”
Section: Introductionmentioning
confidence: 99%