Applications of Remote Sensing in Agriculture

Preface

Acknowledgments

Contents

I. Principles


1 Sensors, Platforms and Applications; Acquiring and Managing Remotely Sensed Data


2 Optical Properties of Vegetation Canopies


3 Factors Affecting the Radiative Temperature of a Vegetative Canopy

II. Climate and Soil


4 Discrimination and Monitoring of Soils


5 Estimation of Rainfall Using Geostationary Satellite Data


6 Application of Remote Sensing and Geographical Information Systems in Water Management

III. Land Classification and Crop Inventories


7 Theoretical Problems in Image Classification


8 Estimating Production of Winter Wheat by Remote Sensing and Unified Ground Network

I. System Verification


9 Estimating Production of Winter Wheat by Remote Sensing and Unified Ground Network

II. Nationwide Estimation of Wheat Yields


10 Crop Inventory Studies Using Landsat Data on a Large Area in Hungary

IV. Productivity


11 High Temporal Frequency Remote Sensing of Primary Production Using NOAA AVHRR


12 Estimating Grassland Biomass Using Remotely Sensed Data


13 Remote Sensing to Predict the Yield of Sugar Beet in England

V. Stress


14 High-Spectral Resolution Indices for Crop Stress


15 The Identification of Crop Disease and Stress by Aerial Photography


16 Estimation of Plant Water Status from Canopy Temperature: An Analysis of the Inverse Problem


17 A Simplified Algorithm for the Evaluation of Frost-Affected Citrus

VI. New Techniques


18 Applications of Chlorophyll Fluorescence in Stress Physiology and Remote Sensing


19 Applications of Radar in Agriculture


20 Microwave Radiometry for Monitoring Agricultural Crops


21 On the Uses of Combined Optical and Active-Microwave Image Data for Agricultural Applications

VII. Opportunities, Progress and Prospects


22 Remote Sensing in Agriculture: from Research to Applications


23 Remote Sensing in Agriculture: Progress and Prospects

List of Poster Presentations

List of Participants

Index