Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.jag.2017.05.007 |
Beyond trend analysis: How a modified breakpoint analysis enhances knowledge of agricultural production after Zimbabwe’s fast track land reform | |
Hentze, Konrad1; Thonfeld, Frank1,2; Menz, Gunter1,2 | |
通讯作者 | Hentze, Konrad |
来源期刊 | INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
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ISSN | 0303-2434 |
出版年 | 2017 |
卷号 | 62页码:78-87 |
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 dusters 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. |
英文关键词 | MODIS NDVI Seasonal trend analysis BFAST Zimbabwe Fast track land reform programme Crop mapping |
类型 | Article |
语种 | 英语 |
国家 | Germany |
收录类别 | SCI-E ; SSCI |
WOS记录号 | WOS:000408787100008 |
WOS关键词 | TIME-SERIES ; COVER CHANGE ; DEGRADATION ; MODIS ; DISTRICT ; RAINFALL ; IMPACTS ; AFRICA ; MATTER |
WOS类目 | Remote Sensing |
WOS研究方向 | Remote Sensing |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/199698 |
作者单位 | 1.Univ Bonn, Remote Sensing Res Grp, Dept Geog, Meckenheimer Allee 166, D-53115 Bonn, Germany; 2.Univ Bonn, Ctr Remote Sensing Land Surfaces, Walter Flex Str 3, D-53113 Bonn, Germany |
推荐引用方式 GB/T 7714 | Hentze, Konrad,Thonfeld, Frank,Menz, Gunter. Beyond trend analysis: How a modified breakpoint analysis enhances knowledge of agricultural production after Zimbabwe’s fast track land reform[J],2017,62:78-87. |
APA | Hentze, Konrad,Thonfeld, Frank,&Menz, Gunter.(2017).Beyond trend analysis: How a modified breakpoint analysis enhances knowledge of agricultural production after Zimbabwe’s fast track land reform.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,62,78-87. |
MLA | Hentze, Konrad,et al."Beyond trend analysis: How a modified breakpoint analysis enhances knowledge of agricultural production after Zimbabwe’s fast track land reform".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 62(2017):78-87. |
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