Trend Analysis of Small Scale Commercial Sugarcane Production in Post Resettlement Areas of Mkwasine Zimbabwe, Using Hyper-Temporal Satellite Imagery

作     者：Shingirirai Mutanga Abel Ramoelo Tichatonga Gonah 

作者机构：Africa Institute of South Africa Science and Technology Programme Pretoria South Africa Council for Scientific and Industrial Research (CSIR) Earth Observation Research Group Natural Resource and Environment Unit Pretoria South Africa Department of Water Affairs Hydrogeology Section Pretoria South Africa 

出 版 物：《Advances in Remote Sensing》 (遥感技术进展（英文）)

年 卷 期：2013年第2卷第1期

页      面：29-34页

学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

主　　题：Trend Analysis Spot Vegetation NDVI and Sugarcane 

摘      要：This study used normalized difference vegetation index (NDVI) derived from Spot Vegetation images as a proxy for sugarcane growth and production model. Time series analysis was undertaken using the moving average computed in R Programming language to monitor sugarcane production after the inception of land reform in the Mkwasine Estate of Zimbabwe. Overall the findings showed a declining trend with a few years of improved production over the 11 year period under investigation. To attest the possible explanations for the observed trend the study related NDVI data with climate variables and considered non climate factors such as land tenure. The predicted yield estimates over the years correlated very well with rainfall. The study therefore envisaged that hyper-temporal satellite imagery can be used to monitor sugarcane production and enhance decision making for future policy direction.