Applications of Remote Sensing in Agriculture contains the proceedings of the 48th Easter School in Agricultural Science, held at the University of Nottingham on April 3-7, 1989. The meeting invites 146 delegates from over 22 countries and contributions to this book come from nine countries. This book generally presents a review of the achievements of remote sensing in agriculture, establishes the state of the art, and gives pointers to developments. This text is organized into seven parts, wherein Parts I-III cover the principles of remote sensing, climate, soil, land classification, and crop inventories. Productivity; stress; techniques for agricultural applications; and opportunities, progress, and prospects in the field of remote sensing in agriculture are also discussed.
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 Prosp
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- © Butterworth-Heinemann 1990
- 30th July 1990
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