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Disaster and Environment Monitoring Based on Multisource Remote Sensing Images
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School of Civil and Architectural Engineering, Shandong University of Technology, Zibo, China
School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo, China
School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo, China
Dr. Rui Zhang
Northwest Institute of Eco-Environment and Resources, Lanzhou, China
Dr. Huihui Zhao
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
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Disaster and Environment Monitoring Based on Multisource Remote Sensing Images

Abstract submission deadline
1 October 2025
Manuscript submission deadline
1 January 2026
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Topic Information

Dear Colleagues,

Due to the impacts of climate and environmental change, the frequency, intensity, and scope of extreme weather events have increased, leading to ecological vulnerability and frequent disasters such as earthquakes and floods in various regions. Ecosystems directly contribute to social and economic development by providing tangible material products and intangible services for human beings. However, the ecological environment has experienced a trend of deterioration under the combination of global warming and human activities. Implementing ecological environment assessments and clarifying the causes and mechanisms of disasters can provide a scientific basis and data support for eco-environmental protection measures and disaster reduction. With a focus on multisource remote sensing and social sensing data, this Topic aims to collect articles providing approaches, methods, and tools for assessing and revealing the changing trends and characteristics of ecological vulnerability and multiple types of disasters. Moreover, this Topic is devoted to promoting advances in understanding and modeling the relationships between global change and regional ecological vulnerability, accurately identifying vulnerability characteristics, exploring disturbance mechanisms, and examining the impact of key vulnerability elements and their interrelationships with disaster risk. We invite you to submit original research articles or review articles on topics related to ecological vulnerability assessment methods, disaster monitoring, or risk assessment utilizing multisource remote sensing images. Articles can describe innovative technological developments; introduce experiments, numerical modeling, case studies, or analytical research; or evaluate the future prospects of emerging technological solutions and propose suggestions for potential approaches.

Prof. Dr. Bing Guo
Dr. Yuefeng Lu
Dr. Yingqiang Song
Dr. Rui Zhang
Dr. Huihui Zhao
Topic Editors

Keywords

  • natural disasters
  • ecological vulnerability
  • disaster risk
  • extreme weather events
  • floods; drought
  • earthquakes

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Geosciences
geosciences 		2.4 5.3 2011 26.2 Days CHF 1800 Submit
Land
land 		3.2 4.9 2012 17.8 Days CHF 2600 Submit
Remote Sensing
remotesensing 		4.2 8.3 2009 24.7 Days CHF 2700 Submit
Sustainability
sustainability 		3.3 6.8 2009 20 Days CHF 2400 Submit

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Published Papers (1 paper)

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25 pages, 20678 KiB  
Article
Spatial–Temporal Evolution Pattern of Soil Erosion and Its Dominant Factors on the Loess Plateau from 2000 to 2020
by Panpan Liu, Bing Guo, Rui Zhang and Longhao Wang
Land 2024, 13(11), 1944; https://doi.org/10.3390/land13111944 - 18 Nov 2024
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Abstract
Global changes have led to significant changes in soil erosion on the Loess Plateau. Soil erosion leads to the degradation of land resources and a decline in soil fertility, adversely affecting agricultural production and the socioeconomic situation. Therefore, revealing the spatiotemporal evolution patterns [...] Read more.
Global changes have led to significant changes in soil erosion on the Loess Plateau. Soil erosion leads to the degradation of land resources and a decline in soil fertility, adversely affecting agricultural production and the socioeconomic situation. Therefore, revealing the spatiotemporal evolution patterns of soil erosion in the Loess Plateau region and investigating the influencing factors that contribute to soil erosion are crucial for its management and restoration. In this study, the RUSLE monthly model and the Geodetector model were utilized to reveal the spatiotemporal trends of soil erosion in the Loess Plateau from 2000 to 2020 and to determine the dominant influencing factors in different periods. The main results are as follows: (1) From 2000 to 2020, the soil erosion in the Loess Plateau initially weakened and then intensified, indicating that precipitation and precipitation intensity have different effects on surface soil. (2) From 2000 to 2015, the area experiencing slight and mild erosion increased. This is attributed to the increase in vegetation coverage in the Loess Plateau region, which has alleviated soil erosion in the area. (3) From 2000 to 2020, zones of severe soil erosion were mainly located in the cities of Yan’an and Yulin and their surrounding areas. The gravity center of soil erosion shifted northwestward from Yan’an City overall, indicating an improvement in the soil erosion conditions in the Yan’an area. (4) The predominant level of soil erosion across different land-use types was slight erosion, accounting for over 40%. This may be a result of forestry ecological projects that effectively reduce soil loss. (5) In slope zones of 0–5°, slight erosion accounted for the largest area proportion. As the slope increased, the area proportion of severe and extremely severe erosion also increased. This is attributed to the protective role of vegetation on soil in gentle slope areas. (6) From 2000 to 2020, vegetation was the dominant single factor influencing the spatiotemporal changes in soil erosion, while the interactions between vegetation and land use had the largest explanatory power, indicating that changes in land-use types partially affect variations in vegetation coverage. Our research findings could provide important data support for soil erosion control and eco-environment restoration in the Loess Plateau region. Full article
(This article belongs to the Topic Disaster and Environment Monitoring Based on Multisource Remote Sensing Images)
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