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Remote Sensing
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Recent Progress in Earth Observation Data for Sustainable Development
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Recent Progress in Earth Observation Data for Sustainable Development

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

Deadline for manuscript submissions: 15 July 2024 | Viewed by 6464

Special Issue Editors

Dr. Aurelie Camille Shapiro

E-Mail Website
Guest Editor
Food and Agriculture Organization of the United Nations (FAO), Viale delle Terme di Caracalla, 00153 Rome, Italy
Interests: forest conservation; climate, spatial analysis; biodiversity; connectivity; carbon monitoring
Dr. Do-Hyung Kim

E-Mail Website
Guest Editor
Office of Innovation, United Nations Children’s Fund, New York, NY, USA
Interests: remote sensing; land use; land cover change; object detection; geospatial analysis
Special Issues, Collections and Topics in MDPI journals
Dr. Ferda Ofli

E-Mail Website
Guest Editor
Senior Scientist at Qatar Computing Research Institute (QCRI), Hamad Bin Khalifa University (HBKU), Doha, Qatar
Interests: crisis computing; disaster response; data for development; climate adaptation; computer vision; machine learning
Dr. Anupam Anand

E-Mail Website
Guest Editor
Independent Evaluation Office, Global Environment Facility, Washington, DC, USA
Interests: earth obsevation; land cover and land-use change; lidar; monitoring and evaluation; sustainable development; science-policy interface
Special Issues, Collections and Topics in MDPI journals
Dr. Rogerio Bonifaçio

E-Mail Website1 Website2
Guest Editor
World Food Program, Rome, Italy
Interests: rainfall interpolation; spatial statistics; geostatistics; remote sensing environment; remote sensing applications

Special Issue Information

Dear Colleagues,

The guiding principle of Sustainable Development is to ensure the Earth's natural ecosystems can provide essential services for human health, the economy, and society, without compromising resources for future generations. The 2030 Agenda for Sustainable Development was adopted by all United Nations Member States in 2015 and provides a blueprint for peace and prosperity for all people on the planet and includes initiatives to improve health and education, reduce inequality and foster economic growth while addressing climate change and conserving natural ecosystems.

Earth Observation data have a tremendous potential to inform sustainable development efforts around the world, supporting individual developing countries along with international and regional development organizations. From environmental risk mapping to land use planning to real-time threat assessments, to monitoring climate change, urban planning and the impacts of natural disasters, specific and tailored spatial data collected from satellites, airplanes, and drones can play a crucial role in informing effective, strategic decisions that have a positive impact on people’s lives.

This Special Issue aims to showcase the value of EO for applications in sustainable development initiatives through, for example, rapid decision making and response, improved planning and strategic investment, and other novel scenarios to support people in developing countries and vulnerable situations. The goal of these EO initiatives for sustainable development is eventually to mainstream satellite technologies and promote technology transfer into development operations in the long term for the benefit of human society. These short communications can benefit the remote sensing community by sharing inspirational and creative uses of remotely sensed data which can be replicated to benefit other countries and organizations.

Short communications and perspectives on the applications of EO for supporting climate change mitigation, food security, land use planning, human migration issues, natural disaster response, and international aid programs are suggested themes for contributions to this Special Issue.

Dr. Aurelie Camille Shapiro
Dr. Do-Hyung Kim
Dr. Ferda Ofli
Dr. Anupam Anand
Dr. Rogerio Bonifaçio
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

  • sustainable development
  • climate change
  • food security
  • human health
  • urban planning
  • natural disasters
  • environmental degradation
  • international development
  • earth observation data

Published Papers (3 papers)

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Research

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22 pages, 7088 KiB  
Article
Transboundary Central African Protected Area Complexes Demonstrate Varied Effectiveness in Reducing Predicted Risk of Deforestation Attributed to Small-Scale Agriculture
by Katie P. Bernhard, Aurélie C. Shapiro, Rémi d’Annunzio and Joël Masimo Kabuanga
Remote Sens. 2024, 16(1), 204; https://doi.org/10.3390/rs16010204 - 4 Jan 2024
Viewed by 1767
Abstract
The forests of Central Africa constitute the continent’s largest continuous tract of forest, maintained in part by over 200 protected areas across six countries with varying levels of restriction and enforcement. Despite protection, these Central African forests are subject to a multitude of [...] Read more.
The forests of Central Africa constitute the continent’s largest continuous tract of forest, maintained in part by over 200 protected areas across six countries with varying levels of restriction and enforcement. Despite protection, these Central African forests are subject to a multitude of overlapping proximate and underlying drivers of deforestation and degradation, such as conversion to small-scale agriculture. This pilot study explored whether transboundary protected area complexes featuring mixed resource-use restriction categories are effective in reducing the predicted disturbance risk to intact forests attributed to small-scale agriculture. At two transboundary protected area complex sites in Central Africa, we used Google Earth Engine and a suite of earth observation (EO) data, including a dataset derived using a replicable, open-source methodology stemming from a regional collaboration, to predict the increased risk of deforestation and degradation of intact forests caused by small-scale agriculture. For each complex, we then statistically compared the predicted increased risk between protected and unprotected forests for a stratified random sample of 2 km sites (n = 4000). We found varied effectiveness of protected areas for reducing the predicted risk of deforestation and degradation to intact forests attributed to agriculture by both the site and category of protected areas within the complex. Our early results have implications for sustainable agriculture development, forest conservation, and protected areas management and provide a direction for future research into spatial planning. Spatial planning could optimize the configuration of protected area types within transboundary complexes to achieve both forest conservation and sustainable agricultural production outcomes. Full article
(This article belongs to the Special Issue Recent Progress in Earth Observation Data for Sustainable Development)
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28 pages, 11459 KiB  
Article
GIS-Based Progress Monitoring of SDGs towards Achieving Saudi Vision 2030
by Sara Qwaider, Baqer Al-Ramadan, Md Shafiullah, Asif Islam and Muhammed Y. Worku
Remote Sens. 2023, 15(24), 5770; https://doi.org/10.3390/rs15245770 - 17 Dec 2023
Viewed by 1686
Abstract
The United Nations (UN) Sustainable Development Goals (SDGs) serve as a blueprint for securing a sustainable, healthy, and just future for people and the environment. Through the implementation of various policies and initiatives for Vision 2030, the Kingdom of Saudi Arabia has significantly [...] Read more.
The United Nations (UN) Sustainable Development Goals (SDGs) serve as a blueprint for securing a sustainable, healthy, and just future for people and the environment. Through the implementation of various policies and initiatives for Vision 2030, the Kingdom of Saudi Arabia has significantly advanced its SDGs. Geographic information systems (GIS) and remote sensing (RS) technologies can play vital roles in tracking and assessing the progress of various government measures. This study investigated the potential of satellite-based RS and GIS technologies for planning, evaluating, and monitoring the status of SDGs. The significance of GIS in Saudi Vision 2030 was examined through a comprehensive literature review and expert interviews. In addition, we reviewed a case study to discuss the role and challenges of utilizing GIS big data for achieving SDGs in Saudi Arabia. Furthermore, we explored the use of large datasets from community scientists and satellite monitoring of SDGs. Overall, we aimed to provide insightful recommendations regarding the utilization of GIS in the effective monitoring of the progress of the SDGs in achieving Saudi Vision 2030. This can aid decision-makers and country leaders in developing assessment frameworks. Full article
(This article belongs to the Special Issue Recent Progress in Earth Observation Data for Sustainable Development)
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Review

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25 pages, 1875 KiB  
Review
Satellite Earth Observation for Essential Climate Variables Supporting Sustainable Development Goals: A Review on Applications
by Daniela Ballari, Luis M. Vilches-Blázquez, María Lorena Orellana-Samaniego, Francisco Salgado-Castillo, Ana Elizabeth Ochoa-Sánchez, Valerie Graw, Nazli Turini and Jörg Bendix
Remote Sens. 2023, 15(11), 2716; https://doi.org/10.3390/rs15112716 - 24 May 2023
Cited by 3 | Viewed by 2329
Abstract
Essential climate variables (ECVs) have been recognized as crucial information for achieving Sustainable Development Goals (SDGs). There is an agreement on 54 ECVs to understand climate evolution, and multiple rely on satellite Earth observation (abbreviated as s-ECVs). Despite the efforts to encourage s-ECV [...] Read more.
Essential climate variables (ECVs) have been recognized as crucial information for achieving Sustainable Development Goals (SDGs). There is an agreement on 54 ECVs to understand climate evolution, and multiple rely on satellite Earth observation (abbreviated as s-ECVs). Despite the efforts to encourage s-ECV use for SDGs, there is still a need to further integrate them into the indicator calculations. Therefore, we conducted a systematic literature review to identify s-ECVs used in SDG monitoring. Results showed the use of 14 s-ECVs, the most frequent being land cover, ozone, precursors for aerosols and ozone, precipitation, land surface temperature, soil moisture, soil carbon, lakes, and leaf area index. They were related to 16 SDGs (mainly SDGs 3, 6, 11, 14, and 15), 33 targets, and 23 indicators. However, only 10 indicators (belonging to SDGs 6, 11, and 15) were calculated using s-ECVs. This review raises research opportunities by identifying s-ECVs yet to be used in the indicator calculations. Therefore, indicators supporting SDGs must be updated to use this valuable source of information which, in turn, allows a worldwide indicator comparison. Additionally, this review is relevant for scientists and policymakers for future actions and policies to better integrate s-ECVs into the Agenda 2030. Full article
(This article belongs to the Special Issue Recent Progress in Earth Observation Data for Sustainable Development)
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