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applicationofmultitemporalmodisndvidatatoassesspracticedmaizecalendarsinrwanda
Mugabowindekwe Maurice1; Muyizere Aline2; Li Fadong3; Qiao Yunfeng3; Rwanyiziri Gaspard1
2018
Source Publicationjournalofresourcesandecology
ISSN1674-764X
Volume009Issue:003Pages:273
Abstract作物历作为一种可以提供特定地区作物生长周期相关信息的重要工具,对有效的农业管理十分重要。由于农业生态系统的特点不同,不同地区的作物历也各不相同。本研究基于多时相MODIS的NDVI分层数据,评估在卢旺达不同地区实践玉米作物日历的差异。有针对性地选取了4个以农业为主的NDVI层并随机采访433名当地农民。这些信息有助于了解当地玉米种植情况和收获日期,以便生成玉米生长历的各个NDVI层。对玉米生长历执行k-均值非监督分类,将其分类生成4组不考虑NDVI层的玉米生长日历。ANOVA结果显示,在p=0.05时,无论NDVI层数如何,由NDVI层生成的玉米作物历与实际不考虑NDVI层的作物历之间均存在显著差异。在p=0.05时,卡方检验和t检验的结果显示,不仅玉米生长日历与作物生长季数之间有显著的相关关系,而且玉米生长日历与NDVI层数之间同样存在显著相关。最终来看,认为存在一个适用于卢旺达全国各地的通用玉米生长日历的现有认知与本研究的结果相左。然而,本研究结果与卢旺达农业生态系统从东到西主要在海拔和降雨模式变化方面存在差异的事实一致。
Language英语
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/117184
Collection中国科学院地理科学与资源研究所
Affiliation1.Centre for Geographic Information Systems and Remote Sensing, College of Science and Technology, University of Rwanda
2.Department of Environmental Management, Bright Green Nature Ltd
3.中国科学院地理科学与资源研究所
Recommended Citation
GB/T 7714
Mugabowindekwe Maurice,Muyizere Aline,Li Fadong,et al. applicationofmultitemporalmodisndvidatatoassesspracticedmaizecalendarsinrwanda[J]. journalofresourcesandecology,2018,009(003):273.
APA Mugabowindekwe Maurice,Muyizere Aline,Li Fadong,Qiao Yunfeng,&Rwanyiziri Gaspard.(2018).applicationofmultitemporalmodisndvidatatoassesspracticedmaizecalendarsinrwanda.journalofresourcesandecology,009(003),273.
MLA Mugabowindekwe Maurice,et al."applicationofmultitemporalmodisndvidatatoassesspracticedmaizecalendarsinrwanda".journalofresourcesandecology 009.003(2018):273.
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