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Analyzing the Influence of Environmental Change on Water and Terrestrial Vegetation Using Satellite Data

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".

Deadline for manuscript submissions: 31 August 2024 | Viewed by 1229

Special Issue Editors


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Guest Editor
Department of Ecology and Conservation Biology, Texas A&M University, College Station, TX 77843, USA
Interests: hydrological extremes; drought and vegetation monitoring; watershed management; remote sensing; watershed modeling and climate change
Special Issues, Collections and Topics in MDPI journals

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Guest Editor

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Guest Editor
Fluminense Federal Institute, Campos dos Goytacazes, Rio de Janeiro, Brazil
Interests: remote sensing; geoprocessing; hydrology; watershed modeling; water quality; time series analysis; water management

Special Issue Information

Dear Colleagues,

Examining the influence of environmental changes on water and terrestrial vegetation through the utilization of satellite data requires extensive scientific studies, which leverage satellite-derived variables such as vegetation greenness, water dynamics, and associated indicators to understand the complex interplaying factors between shifts in the environment and the dynamics of terrestrial vegetation. Assessing the impacts of environmental change, including climate fluctuations, land use change, and natural disturbances, on terrestrial vegetation is paramount to understated the variations and trends in vegetation cover, composition, and distribution across diverse landscapes. Further research comparing historical and current satellite data is essential in substantiating the cause-and-effect relationships between environmental change and terrestrial vegetation dynamics. For instance, how the variability in temperature and precipitation influence water availability, plant growth, and distribution, or how deforestation and urbanization impact local flora. The studies under this topic have far-reaching implications for various fields, including ecology, conservation, and resource management, as they can provide a comprehensive understanding of how environmental change interacts with terrestrial vegetation. As a result, policymakers and land managers can make informed decisions to mitigate the adverse impacts of environmental change.

Therefore, this Special Issue cordially invites submissions of innovative research related to the following research topics: vegetation and forest drought monitoring, land use change and its implication, impacts of climate change on vegetation greenness, risk and vulnerability assessment and management, the application of machine learning to develop vegetation monitoring system, the application of in situ measurements to validate the vegetation greenness, benefits of best management practices to enhance vegetation greenness, impacts of deforestation and urbanization on local flora and any other drought-related studies.

Dr. Yared Bayissa
Prof. Dr. Assefa M. Melesse
Prof. Dr. David de Andrade Costa
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • terrestrial vegetation
  • environmental change
  • vegetation dynamics
  • deforestation
  • drought monitoring
  • climate change

Published Papers (1 paper)

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Research

19 pages, 4741 KiB  
Article
Cyprus Surface Water Area Variation Based on the 1984–2021 Time Series Built from Remote Sensing Products
by David de Andrade Costa, Yared Bayissa, Jader Lugon Junior, Edna N. Yamasaki, Ioannis Kyriakides and Antônio J. Silva Neto
Remote Sens. 2023, 15(22), 5288; https://doi.org/10.3390/rs15225288 - 09 Nov 2023
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Abstract
Cyprus experiences the highest level of water stress among European Union countries due to several interplaying factors such as rainfall variability and increasing water demand. These instigate the nation to build dams on almost all rivers of the island to satisfy the requirements [...] Read more.
Cyprus experiences the highest level of water stress among European Union countries due to several interplaying factors such as rainfall variability and increasing water demand. These instigate the nation to build dams on almost all rivers of the island to satisfy the requirements for drinking water and irrigation. Many studies have been primarily conducted on assessing water availability for various uses, particularly for drinking water supply and irrigation. However, there is still a gap/less explored area in terms of a better understanding of changes in surface water over time. Thus, this study aims to evaluate the water surface area variation in Cyprus over the past four decades based on remote sensing products, timeseries analysis and trend detection. The result reveals a statistically significant increasing trend (p < 0.05) in water surface area between 1984–2021. However, following the completion of the final reservoir in 2010, a statistically significant decreasing trend (p < 0.05) was observed in the permanent water surface area. This decline is related to both climatic variability and increased water demands. We observed cycles of 6, 8, and 11 years in permanent water. These cycles indicate a recurring pattern of water scarcity, with severe implication already observed on both economic activity and agriculture. The recent decade has witnessed a decline in rainfall, and this is evident through the decrease in vegetation greenness in rainfed agricultural regions, highlighting its impact. Therefore, the findings of this study underscore not only the necessity for the development of infrastructure aimed at conserving water, but also reinforces the need to discuss water use priorities in Cyprus. Full article
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