首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Estimating agricultural production in marginal and food insecure areas in Kenya using very high resolution remotely sensed imagery
Institution:1. Leibniz Institute of Agricultural Development in Transition Economies (IAMO), Theodor-Lieser-Str. 2, 06120 Halle (Saale), Germany;2. Institute for Food and Resource Economics (ILR), University of Bonn, Meckenheimer Allee 174, 53115 Bonn, Germany;3. International Center for Tropical Agriculture (CIAT), P.O. Box 823, Nairobi, Kenya
Abstract:Regularly monitoring the amount of food produced in food insecure, isolated, subsistence farming areas can be used to help identify households or communities who may be in need of additional food resources. Measuring seasonal food production in developing countries, particularly at a sub-national level, is complicated by lack of data. In this study we use high resolution remotely sensed data to calculate cultivated area in two different growing areas, during two different seasons in Kenya. The results of the research support the usefulness of this approach for agricultural monitoring in the developing world and suggest that monitoring cultivated area requires attention to the specific growing characteristics of an area.
Keywords:Kenya  Food insecurity  Land use  High resolution imagery
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号