Enhancing FAIR Data Services in Agricultural Disaster: A Review
The agriculture sector is highly vulnerable to natural disasters and climate change, leading to severe impacts on food security, economic stability, and rural livelihoods. The use of geospatial information and technology has been recognized as a valuable tool to help farmers reduce the adverse impac...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-04-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/15/8/2024 |
| _version_ | 1827743864542199808 |
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| author | Lei Hu Chenxiao Zhang Mingda Zhang Yuming Shi Jiasheng Lu Zhe Fang |
| author_facet | Lei Hu Chenxiao Zhang Mingda Zhang Yuming Shi Jiasheng Lu Zhe Fang |
| author_sort | Lei Hu |
| collection | DOAJ |
| description | The agriculture sector is highly vulnerable to natural disasters and climate change, leading to severe impacts on food security, economic stability, and rural livelihoods. The use of geospatial information and technology has been recognized as a valuable tool to help farmers reduce the adverse impacts of natural disasters on agriculture. Remote sensing and GIS are gaining traction as ways to improve agricultural disaster response due to recent advancements in spatial resolution, accessibility, and affordability. This paper presents a comprehensive overview of the FAIR agricultural disaster services. It holistically introduces the current status, case studies, technologies, and challenges, and it provides a big picture of exploring geospatial applications for agricultural disaster “from farm to space”. The review begins with an overview of the governments and organizations worldwide. We present the major international and national initiatives relevant to the agricultural disaster context. The second part of this review illustrates recent research on remote sensing-based agricultural disaster monitoring, with a special focus on drought and flood events. Traditional, integrative, and machine learning-based methods are highlighted in this section. We then examine the role of spatial data infrastructure and research on agricultural disaster services and systems. The generic lifecycle of agricultural disasters is briefly introduced. Eventually, we discuss the grand challenges and emerging opportunities that range from analysis-ready data to decision-ready services, providing guidance on the foreseeable future. |
| first_indexed | 2024-03-11T04:35:30Z |
| format | Article |
| id | doaj.art-f77bbb0f1f4d47d19fc10fbcc922dfa8 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-11T04:35:30Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-f77bbb0f1f4d47d19fc10fbcc922dfa82023-11-17T21:10:58ZengMDPI AGRemote Sensing2072-42922023-04-01158202410.3390/rs15082024Enhancing FAIR Data Services in Agricultural Disaster: A ReviewLei Hu0Chenxiao Zhang1Mingda Zhang2Yuming Shi3Jiasheng Lu4Zhe Fang5School of Resources and Environmental Engineering, Hubei University, Wuhan 430062, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, ChinaSchool of Resources and Environmental Engineering, Hubei University, Wuhan 430062, ChinaDepartment of Geographical Sciences, University of Maryland, College Park, MD 20742, USASchool of Computer Science and Engineering, University of New South Wales, Sydney, NSW 2052, AustraliaSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, ChinaThe agriculture sector is highly vulnerable to natural disasters and climate change, leading to severe impacts on food security, economic stability, and rural livelihoods. The use of geospatial information and technology has been recognized as a valuable tool to help farmers reduce the adverse impacts of natural disasters on agriculture. Remote sensing and GIS are gaining traction as ways to improve agricultural disaster response due to recent advancements in spatial resolution, accessibility, and affordability. This paper presents a comprehensive overview of the FAIR agricultural disaster services. It holistically introduces the current status, case studies, technologies, and challenges, and it provides a big picture of exploring geospatial applications for agricultural disaster “from farm to space”. The review begins with an overview of the governments and organizations worldwide. We present the major international and national initiatives relevant to the agricultural disaster context. The second part of this review illustrates recent research on remote sensing-based agricultural disaster monitoring, with a special focus on drought and flood events. Traditional, integrative, and machine learning-based methods are highlighted in this section. We then examine the role of spatial data infrastructure and research on agricultural disaster services and systems. The generic lifecycle of agricultural disasters is briefly introduced. Eventually, we discuss the grand challenges and emerging opportunities that range from analysis-ready data to decision-ready services, providing guidance on the foreseeable future.https://www.mdpi.com/2072-4292/15/8/2024agricultural disasterearth observationdroughtfloodspatial data infrastructureFAIR |
| spellingShingle | Lei Hu Chenxiao Zhang Mingda Zhang Yuming Shi Jiasheng Lu Zhe Fang Enhancing FAIR Data Services in Agricultural Disaster: A Review Remote Sensing agricultural disaster earth observation drought flood spatial data infrastructure FAIR |
| title | Enhancing FAIR Data Services in Agricultural Disaster: A Review |
| title_full | Enhancing FAIR Data Services in Agricultural Disaster: A Review |
| title_fullStr | Enhancing FAIR Data Services in Agricultural Disaster: A Review |
| title_full_unstemmed | Enhancing FAIR Data Services in Agricultural Disaster: A Review |
| title_short | Enhancing FAIR Data Services in Agricultural Disaster: A Review |
| title_sort | enhancing fair data services in agricultural disaster a review |
| topic | agricultural disaster earth observation drought flood spatial data infrastructure FAIR |
| url | https://www.mdpi.com/2072-4292/15/8/2024 |
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