The Role of Earth Observation in Achieving Sustainable Agricultural Production in Arid and Semi-Arid Regions of the World
文献类型：期刊论文
| 作者 | Qader, Sarchil Hama1,2; Dash, Jadu3; Alegana, Victor A.3,4; Khwarahm, Nabaz R.5; Tatem, Andrew J.2; Atkinson, Peter M.3,6,7 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2021-09-01 |
| 卷号 | 13期号:17页码:27 |
| 关键词 | agriculture arid and semi-arid regions crop monitoring remote sensing crop yield |
| DOI | 10.3390/rs13173382 |
| 通讯作者 | Qader, Sarchil Hama(S.Qader@soton.ac.uk) |
| 英文摘要 | Crop production is a major source of food and livelihood for many people in arid and semi-arid (ASA) regions across the world. However, due to irregular climatic events, ASA regions are affected commonly by frequent droughts that can impact food production. In addition, ASA regions in the Middle East and Africa are often characterised by political instability, which can increase population vulnerability to hunger and ill health. Remote sensing (RS) provides a platform to improve the spatial prediction of crop production and food availability, with the potential to positively impact populations. This paper, firstly, describes some of the important characteristics of agriculture in ASA regions that require monitoring to improve their management. Secondly, it demonstrates how freely available RS data can support decision-making through a cost-effective monitoring system that complements traditional approaches for collecting agricultural data. Thirdly, it illustrates the challenges of employing freely available RS data for mapping and monitoring crop area, crop status and forecasting crop yield in these regions. Finally, existing approaches used in these applications are evaluated, and the challenges associated with their use and possible future improvements are discussed. We demonstrate that agricultural activities can be monitored effectively and both crop area and crop yield can be predicted in advance using RS data. We also discuss the future challenges associated with maintaining food security in ASA regions and explore some recent advances in RS that can be used to monitor cropland and forecast crop production and yield. |
| WOS关键词 | REMOTE-SENSING DATA ; TERRESTRIAL CHLOROPHYLL INDEX ; SENSED VEGETATION INDEXES ; PREDICTING GRAIN-YIELD ; CROP YIELD ; TIME-SERIES ; FOOD SECURITY ; WINTER-WHEAT ; LAND-COVER ; SPECIES MISIDENTIFICATION |
| 资助项目 | UK Research and Innovation GCRF[323036/ARCP011217] ; Wellcome Trust[211208] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000694473600001 |
| 出版者 | MDPI |
| 资助机构 | UK Research and Innovation GCRF ; Wellcome Trust |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/165356]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Qader, Sarchil Hama |
| 作者单位 | 1.Univ Sulaimani, Coll Agr Engn Sci, Nat Resources Dept, Sulaimani 334, Kurdistan Regio, Iraq 2.Univ Southampton, Fac Environm & Life Sci, Sch Geog & Environm Sci, WorldPop, Southampton SO17 1BJ, Hants, England 3.Univ Southampton, Fac Environm & Life Sci, Sch Geog & Environm Sci, Southampton SO17 1BJ, Hants, England 4.Kenya Govt Med Res Ctr, Wellcome Trust Res Programme, Populat Hlth Unit, POB 43640-00100, Nairobi, Kenya 5.Univ Sulaimani, Coll Educ, Dept Biol, Sulaimani 334, Kurdistan Regio, Iraq 6.Univ Lancaster, Lancaster Environm Ctr, Lancaster LA1 4YR, England 7.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, 11A Datun Rd, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Qader, Sarchil Hama,Dash, Jadu,Alegana, Victor A.,et al. The Role of Earth Observation in Achieving Sustainable Agricultural Production in Arid and Semi-Arid Regions of the World[J]. REMOTE SENSING,2021,13(17):27. |
| APA | Qader, Sarchil Hama,Dash, Jadu,Alegana, Victor A.,Khwarahm, Nabaz R.,Tatem, Andrew J.,&Atkinson, Peter M..(2021).The Role of Earth Observation in Achieving Sustainable Agricultural Production in Arid and Semi-Arid Regions of the World.REMOTE SENSING,13(17),27. |
| MLA | Qader, Sarchil Hama,et al."The Role of Earth Observation in Achieving Sustainable Agricultural Production in Arid and Semi-Arid Regions of the World".REMOTE SENSING 13.17(2021):27. |
入库方式： OAI收割
来源：地理科学与资源研究所
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