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Thesis
> Rishiraj Dutta
Table of Content
Acknowledgements
Abstract
Introduction
Background of tea
Need for Crop Monitoring
Need for Crop Yield Forecasting
Yield Estimation in India
Economic Impacts of Remote Sensing and GIS in Tea Sector
Problem Statement
Motivation
Objectives
Research Questions
The Study Area
Study Area
Location
Population
Climate
Economy
Literature Review
Optical Remote Sensing for Crop Monitoring
Remote Sensing of Leaf Area Index (LAI)
NDVI-LAI Relationship
Application of Remote Sensing in Tea Sector
Materials and Methods
Materials
Remote Sensing Data
Earth Observation Data
Field Survey Data
Ground Truth Data Collection
Software’s Used
Other Instruments Used
Data Preparation
Georeference of the Data
Geometric Correction of Remote Sensing Data
Visual Interpretation of The Images
Spectral Signature Analysis of The Optical Data
Processing of the Images
Image Classification
Texture Analysis
Normalized Difference Vegetation Index
Leaf Area Index (LAI)
NDVI-LAI Relationship
Statistical Analysis
Results and Discussion (Part-I)
Detection of Affected Plantations from Remotely Sensed Images
Yield Estimation
LAI Field Observations
LAI and NDVI Relationship
Relation Between Tea Leaf Yield and MODIS NDVI
Tea Yield Model
Results and Discussion (Part-II)
Visual Interpretation of The Images
Results of Spectral Signature Analysis of the Optical Data (LANDSAT, LISS III and ASTER)
Digital Image Analysis
Results of Supervised Classification of LANDSAT Image
Results of Supervised Classification of LISS III Image
Results of Supervised Classification of ASTER Image
Quantitative Evaluation of Supervised Classification of the Images
Conclusions and Recommendations
Research Questions Concerning The Research Objective 1
Research Questions
Research Questions Concerning The Objective 2
Research Questions
Limitations
Recommendation
References