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A review of remote sensing applications in agriculture for food security: Crop growth and yield, irrigation, and crop losses

Karthikeyan, L and Chawla, I and Mishra, AK (2020) A review of remote sensing applications in agriculture for food security: Crop growth and yield, irrigation, and crop losses. In: Journal of Hydrology, 586 .

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Official URL: https://dx.doi.org/10.1016/j.jhydrol.2020.124905


The global population is expected to reach 9.8 billion by 2050. There is an exponential growth of food production to meet the needs of the growing population. However, the limited land and water resources, climate change, and an increase in extreme events likely to pose a significant threat for achieving the sustainable agriculture goal. Given these challenges, food security is included in the United Nations’ Sustainable Development Goals (SDGs). Since the advent of Sputnik, followed by the Explorer missions, satellite remote sensing is assisting us in collecting the data at global scales. In this work, we review how satellite remote sensing information is utilized to assess and manage agriculture, an important component of ecohydrology. Overall, three critical aspects of agriculture are considered: (a) crop growth and yield through empirical models, physics-based models, and data assimilation in crop models, (b) applications pertaining to irrigation, which include mapping irrigation areas and quantification of irrigation, and (c) crop losses due to pests, diseases, crop lodging, and weeds. The emphasis is on satellite sensors in optical, thermal, microwave, and fluorescence frequencies. We conclude the review with an outlook of challenges and recommendations. This paper is the first of a two-part review series. The second part reviews the role of satellite remote sensing in water security, wherein we discuss the aspects of water quality and quantity along with extremes (floods and droughts).

Item Type: Journal Article
Publication: Journal of Hydrology
Publisher: ELSEVIER
Additional Information: The Copyright of this article belongs to Elsevier B.V.
Keywords: Agriculture; Crop losses; Crop yield; Data assimilation; Irrigation; Remote sensing
Department/Centre: Division of Interdisciplinary Sciences > Interdisciplinary Centre for Water Research
Date Deposited: 03 Jun 2022 05:07
Last Modified: 03 Jun 2022 05:07
URI: https://eprints.iisc.ac.in/id/eprint/65106

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