DOI: 10.1016/j.jag.2017.05.007
Scopus记录号: 2-s2.0-85032220159
论文题名: Beyond trend analysis: How a modified breakpoint analysis enhances knowledge of agricultural production after Zimbabwe's fast track land reform
作者: Hentze K ; , Thonfeld F ; , Menz G
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2017
卷: 62 起始页码: 78
结束页码: 87
语种: 英语
英文关键词: BFAST
; Crop mapping
; Fast track land reform programme
; MODIS
; NDVI
; Seasonal trend analysis
; Zimbabwe
Scopus关键词: accessibility
; agricultural production
; cropping practice
; farmers knowledge
; land reform
; land use change
; MODIS
; NDVI
; time series analysis
; trend analysis
; Zimbabwe
英文摘要: In the discourse on land reform assessments, a significant lack of spatial and time-series data has been identified, especially with respect to Zimbabwe's “Fast-Track Land Reform Programme” (FTLRP). At the same time, interest persists among land use change scientists to evaluate causes of land use change and therefore to increase the explanatory power of remote sensing products. This study recognizes these demands and aims to provide input on both levels: Evaluating the potential of satellite remote sensing time-series to answer questions which evolved after intensive land redistribution efforts in Zimbabwe; and investigating how time-series analysis of Normalized Difference Vegetation Index (NDVI) can be enhanced to provide information on land reform induced land use change. To achieve this, two time-series methods are applied to MODIS NDVI data: Seasonal Trend Analysis (STA) and Breakpoint Analysis for Additive Season and Trend (BFAST). In our first analysis, a link of agricultural productivity trends to different land tenure regimes shows that regional clustering of trends is more dominant than a relationship between tenure and trend with a slightly negative slope for all regimes. We demonstrate that clusters of strong negative and positive productivity trends are results of changing irrigation patterns. To locate emerging and fallow irrigation schemes in semi-arid Zimbabwe, a new multi-method approach is developed which allows to map changes from bimodal seasonal phenological patterns to unimodal and vice versa. With an enhanced breakpoint analysis through the combination of STA and BFAST, we are able to provide a technique that can be applied on large scale to map status and development of highly productive cropping systems, which are key for food production, national export and local employment. We therefore conclude that the combination of existing and accessible time-series analysis methods: is able to achieve both: overcoming demonstrated limitations of MODIS based trend analysis and enhancing knowledge of Zimbabwe's FTLRP. © 2017 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79986
Appears in Collections: 气候变化事实与影响
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作者单位: Remote Sensing Research Group, Department of Geography, University of Bonn, Meckenheimer Allee 166, Bonn, Germany; Center for Remote Sensing of Land Surfaces, University of Bonn, Walter-Flex-Str. 3, Bonn, Germany
Recommended Citation:
Hentze K,, Thonfeld F,, Menz G. Beyond trend analysis: How a modified breakpoint analysis enhances knowledge of agricultural production after Zimbabwe's fast track land reform[J]. International Journal of Applied Earth Observation and Geoinformation,2017-01-01,62