發(fā)布時間：2021-05-11 21:26

　　Sudan is still using traditional methods for estimate crops yield depend on direct field survey, whereas there are available attractive techniques tested in many areas over the world not only with high efficiency, but also cost-effective and quick for the same purpose. The aim of this research is to investigate the utility of using remotely sensed data of Moderate-resolution Imaging Spectro-radiometer （MODIS） satellite for estimating Sorghum yield in Rain-fed farming in Gedarif State, Sudan, whe... 

【文章來源】：浙江大學(xué)浙江省 211工程院校 985工程院校 教育部直屬院校

【文章頁數(shù)】：63 頁

【學(xué)位級別】：碩士

【文章目錄】：
ACKNOWLEDGEMENTS
Table of Contents
List of Tables
List of Figures
Abstract
CHAPTER ONE:Introduction, includes
    1.1 Introduction
    1.2 Problem Statement and Justification
    1.3 Objectives and Hypotheses
CHAPTER TWO:Literature Review
    2.1 The application fields of remote sensing in agriculture and crop
    2.2 Other challenges may affect for delay the adopting the technique in some #10developing countries.
    2.3 Background of using remote sensing in Sudan:Projects in Northern #11Kordofan State
    2.4 Recent activities of using remote sensing in Sudan
        2.4.1 Crop signature in Rain-fed and Irrigated Sectors
        2.4.2 Sudan Institutional Capacity Program, Food Security Information for #13Action (SIFIA)
        2.4.3 Africover Land Cover Classification and Mapping Project:Summary of #14Africover project
        2.4.4 Crop Yield Assessment
            2.4.4.1 Sorghum Assessment in Rain-fed Farming
            2.4.4.2 Sorghum Accuracy Assessment in Rain-fed Farming
CHAPTER THREE:Study Area
    3.1 The Economic Importance of the State
    3.2 Soil
    3.3 Climate
    3.4 Mechanized Rain-fed Sector Characteristics
    3.5 Crop Cutting Method for Estimate Crop Yield
CHAPTER FOUR:Methodology(MATRIALS AND METHODS)
    4.1 Image Acquisition
    4.2 Spectral vegetation Indices
    4.3 Image Processing
    4.4 Field Data Collection and Auxiliary Data
CHAPTER FIVE:Results and Discussion
    5.1 NDVI measurement
    5.2 NDVI with Rainfall measurement
    5.3 Affects of Applied Stratified Sample on Data
    5.4 NDVI and NDVI+Rainfall measurements in 2009 and 2010
    5.5. Model of the linear regression 2007-2010
        5.5.1. Limitation of Data and Difficulties may face the model
        5.5.2. The final liner regression model
CHAPTER SIX:Conclusions and Recommendations
References


【參考文獻(xiàn)】：
期刊論文
[1]基于MODIS-NDVI的區(qū)域冬小麥遙感估產(chǎn)——以山東省濟(jì)寧市為例[J]. 任建強(qiáng),陳仲新,唐華俊.  應(yīng)用生態(tài)學(xué)報. 2006(12)



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