Application of Remote Sensing in Vegetation Dynamics and Ecology—2nd Edition

A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Forest Inventory, Modeling and Remote Sensing".

Deadline for manuscript submissions: 25 December 2025 | Viewed by 580

Special Issue Editors


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Guest Editor
School of Civil Engineering, Lanzhou University of Technology, Lanzhou 730050, China
Interests: remote sensing of wetlands; remote sensing of ecology; remote sensing of the cryosphere
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Interests: glaciers change; water resources
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This is the second edition of the Special Issue “Application of Remote Sensing in Vegetation Dynamics and Ecology”.

https://www.mdpi.com/journal/forests/special_issues/VCRKO8Q3IS

Vegetation is a crucial part of most terrestrial ecosystems, playing an important ecological role in the water cycle, material cycle, and carbon regulation. Vegetation is exhibiting clear and diverse responses to global warming, such as greening and browning, which have been reported by many remote sensing studies. Vegetation is an important and sensitive indicator of climate change and ecology. Quantifying the impacts of climate change and human activities on vegetation could provide an important reference for ecological conservation and development. The recent development of satellite-based remote sensing and the products it produces provide excellent opportunities for us to study vegetation dynamics and their relationships to regional and global climate systems. Moreover, cloud computing (such as the Google Earth Engine) combined with machine learning algorithms has become the most advanced tool for studying vegetation changes.

Potential topics of interest for this Special Issue include, but are not limited to, the following:

  • Vegetation changes captured by various remote sensing data sources;
  • Response of vegetation to climate change;
  • Ecological effects of vegetation change;
  • Response of vegetation to human activity;
  • Relationship of vegetation changes to the climate.

Dr. Wangping Li
Dr. Donghui Shangguan
Guest Editors

Manuscript Submission Information

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Keywords

  • vegetation type
  • response to climate change
  • ecological change
  • response to human activity
  • remote sensing

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Published Papers (1 paper)

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Research

15 pages, 4130 KB  
Article
Monitoring and Influencing Factors Analysis of Urban Vegetation Changes in the Plateau-Mountainous City
by Zhoujiang Liu, Wentan Wei, Yifan Dong and Wenxian Hu
Forests 2025, 16(8), 1339; https://doi.org/10.3390/f16081339 - 17 Aug 2025
Viewed by 287
Abstract
It is of great importance to study the spatiotemporal variation in vegetation and its influencing factors at a regional scale in plateau mountainous cities for ecological restoration and management and maintenance of ecosystem stability. This study employed MODIS NDVI data to construct a [...] Read more.
It is of great importance to study the spatiotemporal variation in vegetation and its influencing factors at a regional scale in plateau mountainous cities for ecological restoration and management and maintenance of ecosystem stability. This study employed MODIS NDVI data to construct a kNDVI dataset for the growing season in Kunming, with the aim of exploring the spatiotemporal variations in vegetation more precisely. The study analyzed the trends and stability of kNDVI and investigated the primary drivers of kNDVI dynamics in Kunming. The results show that the regional proportion of higher-level kNDVI is more than half, and vegetation in the growing season has shown an improvement trend. The primary factors influencing kNDVI variations in Kunming include soil type, landform type, nighttime light intensity, and slope gradient. The pairwise interactions among factors have a more substantial impact on vegetation dynamics compared to individual factors, with the interaction between soil type and nighttime light intensity being particularly pronounced. The results offer scientific bases for assessing and managing ecological environment quality in plateau-mountainous cities. Full article
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