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摘要:
Crop insurance, though clearly needed, has not taken root in Kenyan agriculture, and what little exists is indemnity based, meaning that a farmer is compensated only based on assessed crop damage or harvest shortfall. This is often cumbersome and expensive for the average subsistence farmer. A better approach is to use index based insurance, whereby an agreed index is computed and the farmer is compensated or not compensated depending on its value. Remote sensing technology, which is now widely available globally, provides such an index, the Normalized Difference Vegetation Index (NDVI), which is an acknowledged indicator of crop health at different stages of crop growth. This paper reports on a study carried out in mid-2019 to investigate the possibility of applying remote sensing in this way to enable crop insurance for maize farmers in Migori County, Kenya. Sentinel 2 imagery from May 2017 (taken as the insurance year) was acquired, classified and NDVI generated over the study area. An 8 Km × 8 Km grid was overlaid and average NDVI computed per such grid cell. Similar imagery for May 2016 was acquired and similarly processed to provide reference NDVI averages. For any grid cell then, if Ap be the insurance year NDVI and Ar the reference NDVI, the insurance index was computed as (Ap - Ar), and farmer compensation would be triggered if this value was negative. Results show that out of about 85 small holder farms in the study area, 30 would have qualified for such compensations. These results are recommended for further refining and pilot testing in the study area and similar maize growing areas.
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篇名 Crop Insurance Based on Satellite Remote Sensing: Case of Migori County, Kenya
来源期刊 遥感技术进展(英文) 学科 生物学
关键词 CROP INSURANCE NDVI REMOTE SENSING Migori Kenya
年,卷(期) 2020,(1) 所属期刊栏目
研究方向 页码范围 1-11
页数 11页 分类号 Q94
字数 语种
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研究主题发展历程
节点文献
CROP
INSURANCE
NDVI
REMOTE
SENSING
Migori
Kenya
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期刊影响力
遥感技术进展(英文)
季刊
2169-267X
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
148
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0
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0
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