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Remote Sensing
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Remote Sensing of Environmental Health Resilience
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Remote Sensing of Environmental Health Resilience

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

Deadline for manuscript submissions: closed (1 February 2022) | Viewed by 8989

Special Issue Editors

Dr. Igor Ogashawara

E-Mail Website
Guest Editor
Department of Experimental Limnology, Leibniz-Institute for Freshwater Ecology and Inland Fisheries, D-16775 Stechlin, Germany
Interests: bio-optical modeling; water quality; optical remote sensing; water quality sensors; fluorescence; climatology
Special Issues, Collections and Topics in MDPI journals
Dr. Max Jacobo Moreno-Madriñán

E-Mail Website
Guest Editor
Department of Environmental Health Science, Fairbanks School of Public Health, Indiana University, 1050 Wishard Blvd. Suite 6092, IN 46202, USA
Interests: environmental health science; vector borne diseases; water quality; limnology; climatology

Special Issue Information

Dear Colleagues,

While resilience is the ability of a system to survive natural catastrophes, environmental resilience is the ability of a system to undertake, absorb, and react to global or regional changes whilst maintaining its functions and controls. However, the anthropogenic demands on environmental resources are reducing the natural “buffer” of resilience of the ecosystems. To increase environmental health resilience, planning for wider ranges of both natural and anthropogenic changes is needed. In this context, remote sensing plays an important role in mitigation and adaptation strategies to contest future environmental health challenges.

We would like to invite you to submit articles about your recent research on environmental health resilience regarding the following and other related topics:

  • Environmental Health Resilience of Coral Reefs
  • Environmental Health Resilience of Oceans
  • Environmental Health Resilience of Water Quality
  • Environmental Health Resilience of Hydrology
  • Environmental Health Resilience of Urban Areas
  • Environmental Health Resilience of Tropical Forests
  • Remote Sensing Applications for Food Security in the Changing World
  • Remote Sensing Applications for Human Health in the Changing World

Dr. Igor Ogashawara
Dr. Max Jacobo Moreno-Madriñán
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

  • Sustainability
  • Environmental Vulnerability
  • Environmental Health
  • Environmental Resilience
  • Environmental Risk Assessment
  • Climate Variability
  • Resilience, adaptation, and mitigation

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (2 papers)

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20 pages, 35247 KiB  
Article
Assessing Terrestrial Ecosystem Resilience using Satellite Leaf Area Index
by Jinhui Wu and Shunlin Liang
Remote Sens. 2020, 12(4), 595; https://doi.org/10.3390/rs12040595 - 11 Feb 2020
Cited by 26 | Viewed by 5847
Abstract
Quantitative approaches to measuring and assessing terrestrial ecosystem resilience, which expresses the ability of an ecosystem to recover from disturbances without shifting to an alternative state or losing function and services, is critical and essential to forecasting how terrestrial ecosystems will respond to [...] Read more.
Quantitative approaches to measuring and assessing terrestrial ecosystem resilience, which expresses the ability of an ecosystem to recover from disturbances without shifting to an alternative state or losing function and services, is critical and essential to forecasting how terrestrial ecosystems will respond to global change. However, global and continuous terrestrial resilience measurement is fraught with difficulty, and the corresponding attribution of resilience dynamics is lacking in the literature. In this study, we assessed global terrestrial ecosystem resilience based on the long time-series GLASS LAI product and GIMMS AVHRR LAI 3g product, and validated the results using drought and fire events as the main disturbance indicators. We also analyzed the spatial and temporal variations of global terrestrial ecosystem resilience and attributed their dynamics to climate change and environmental factors. The results showed that arid and semiarid areas exhibited low resilience. We found that evergreen broadleaf forest exhibited the highest resilience (mean resilience value (from GLASS LAI): 0.6). On a global scale, the increase of mean annual precipitation had a positive impact on terrestrial resilience enhancement, while we found no consistent relationships between mean annual temperature and terrestrial resilience. For terrestrial resilience dynamics, we observed three dramatic raises of disturbance frequency in 1989, 1995, and 2001, respectively, along with three significant drops in resilience correspondingly. Our study mapped continuous spatiotemporal variation and captured interannual variations in terrestrial ecosystem resilience. This study demonstrates that remote sensing data are effective for monitoring terrestrial resilience for global ecosystem assessment. Full article
(This article belongs to the Special Issue Remote Sensing of Environmental Health Resilience)
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23 pages, 24099 KiB  
Technical Note
The Morphology of Evolved Urban Fabric around Farm Ponds
by Naai-Jung Shih and Yi-Ting Qiu
Remote Sens. 2021, 13(3), 437; https://doi.org/10.3390/rs13030437 - 27 Jan 2021
Cited by 2 | Viewed by 2426
Abstract
Resilience, water-based ecosystems, and regional urbanization are closely related. Ponds, as a part of water-based ecosystems, are subject to the indicators of urbanization. The farm ponds in Taoyuan, Taiwan, represent a sustainable fulfillment of irrigation demand and are a system that has been [...] Read more.
Resilience, water-based ecosystems, and regional urbanization are closely related. Ponds, as a part of water-based ecosystems, are subject to the indicators of urbanization. The farm ponds in Taoyuan, Taiwan, represent a sustainable fulfillment of irrigation demand and are a system that has been resilient to the topological change in plate elevation over time. The old system was developed in three stages and gradually replaced by canals and reservoirs, with lands abolished or demolished for other purposes. This study aimed to investigate the resilience of farm ponds based on a quantitative estimation of the morphologically evolved urban fabric. Based on five types of map resources, case studies were made on the ponds located near or away from the Green Line of the Taoyuan Rapid Transit System in order to explore their potential relationship with urbanization and the concept of transit-oriented development (TOD). The results show high dynamics of land-use changes while each one was surrounded by a specific urban fabric and contributed to the individual history, designated role, and major type of buildings developed. Quantitative estimation made from satellite images found the developing patterns of resilience in different convergence stages. Each of the four pond cases represents a different stage and application pattern to the integration of water and urban resilience and, in the meantime, maintains the old pond culture. The verification of the water surface area was compared between former 3D scans and satellite images. Full article
(This article belongs to the Special Issue Remote Sensing of Environmental Health Resilience)
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