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Remote Sensing of Mountain and Plateau Vegetation (Second Edition)

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Agriculture and Vegetation".

Deadline for manuscript submissions: 30 August 2025 | Viewed by 342

Special Issue Editors


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Guest Editor
State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, No.251. Ningda Road, Xining 810016, China
Interests: carbon cycle model; remote sensing of vegetation; grassland ecology
Special Issues, Collections and Topics in MDPI journals
South China Botanical Garden, Guangzhou, China
Interests: carbon cycle; ecosystem ecology
Special Issues, Collections and Topics in MDPI journals
School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China
Interests: remote sensing of vegetation; ecological restoration; ecosystem services; social–ecological system
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Global warming and accelerating CO2 concentrations are having widespread impacts on terrestrial ecosystems, and the effects on vegetation dynamics in mountain and plateau regions are likely to have become more pronounced over the last 30 years. Mountains and plateaus are typically the sources of rivers, and their vegetation plays a crucial role in climate change mitigation and local ecological security and is essential in human sustainable development. There is increasing evidence suggesting that the rate of climate warming is accelerating in mountain and plateau environments, which will inevitably affect changes and zonal distribution patterns in vegetation and thus affect the regional and even global carbon cycle. However, the effects of climate change on vegetation, carbon, and the water cycle in mountain and plateau regions are not yet well known. Remote sensing has been widely used for its unparalleled advantages in detecting surface information on a global and regional scale. Therefore, we welcome submissions of studies on applications of remote sensing technology to study vegetation, water, and carbon in mountain and plateau regions and their response to climate change.

Dr. Zhaoqi Wang
Dr. Donghai Wu
Dr. Hao Wang
Guest Editors

Manuscript Submission Information

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Keywords

  • remote sensing of vegetation
  • vegetation productivity
  • carbon cycle
  • mountain and plateau regions
  • alpine vegetation
  • remote sensing algorithm
  • vegetation types
  • elevation gradient
  • remote sensing in hydrology

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Published Papers (1 paper)

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Research

33 pages, 38944 KiB  
Article
Vegetation Restoration Outpaces Climate Change in Driving Evapotranspiration in the Wuding River Basin
by Geyu Zhang, Zijun Wang, Hanyu Ren, Qiaotian Shen, Tingyi Xue, Zongsen Wang, Xu Chen, Haijing Shi, Peidong Han, Yangyang Liu and Zhongming Wen
Remote Sens. 2025, 17(9), 1577; https://doi.org/10.3390/rs17091577 - 29 Apr 2025
Viewed by 141
Abstract
For the management of the water cycle, it is essential to comprehend evapotranspiration (ET) and how it changes over time and space, especially in relation to vegetation. Here, using the Priestley–Taylor Jet Propulsion Laboratory (PT-JPL) model, we explored the spatiotemporal variations in ET [...] Read more.
For the management of the water cycle, it is essential to comprehend evapotranspiration (ET) and how it changes over time and space, especially in relation to vegetation. Here, using the Priestley–Taylor Jet Propulsion Laboratory (PT-JPL) model, we explored the spatiotemporal variations in ET across different time scales during 1982–2018 in the Wuding River Basin. We also quantitatively evaluated the driving mechanisms of climate and vegetation changes on ET changes. Results showed that the ET estimate by the PT-JPL model showed good agreement (R2 = 0.71–0.84) with four ET products (PML, MOD16A2, GLASS, FLDAS). Overall, the ET increased significantly at a rate of 3.11 mm/year (p < 0.01). Spatially, ET in the WRB is higher in the southeast and lower in the northwest. Attribution analysis indicated that vegetation restoration (leaf area index) was the dominant driver of ET changes (99.93% basin area, p < 0.05), exhibiting both direct effects and indirect mediation through the Vapor Pressure Deficit. Temperature influences emerged predominantly through vegetation feedbacks rather than direct climatic forcing. These findings establish vegetation restoration as a key driver of regional ET, providing empirical support for optimizing revegetation strategies in semi-arid environments. Full article
(This article belongs to the Special Issue Remote Sensing of Mountain and Plateau Vegetation (Second Edition))
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