Introduction to Environmental Remote SensingTaking a detailed, non mathematical approach to two broad areas of principles and applications, this book progresses from the physical principles on which remote sensing is based - equipment, techniques and data analysis -through to the application of remote sensing to both physical phenomena and events, and to human activies and man-made landscapes. |
Contents
Monitoring the environment | 3 |
Physical bases of remote sensing | 19 |
Radiation characteristics of natural phenomena | 42 |
Sensors for environmental monitoring | 57 |
Calibration evaluation and validation in remote sensing | 117 |
Remote sensing data interchangeability preprocessing and processing | 135 |
Analysis and interpretation of aerial photography | 151 |
Digital data handling | 165 |
Soils and landforms | 279 |
Sensor platforms sensor packages and satellite data distribution | 301 |
Rocks and mineral resources | 303 |
Ecology conservation and resource management | 323 |
Land use and crop production | 347 |
The built environment | 371 |
Hazards and disasters | 393 |
Problems and prospects | 415 |
Weather analysis and forecasting | 193 |
Global climatology | 221 |
Water in the environment | 245 |
Internet sources of further information | 433 |
Index | 447 |
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Common terms and phrases
accuracy aerial airborne aircraft albedo altitude angle areas assessed atmosphere Band camera Chapter characteristics chlorophyll classification climatology cloud cover colour conventional Courtesy crop data sets Earth resources energy environment environmental estimates European Space Agency evaluation example field film geostationary global ground identified imagery infrared land Landsat Landsat MSS mapping measurements ment meteorological Meteosat methods monitoring multispectral NASA NOAA observations obtained Ocean operational orbit panchromatic passive microwave patterns photogrammetry photographs pixel platforms polar preprocessing processing programme radar radiation budget Radiometer rainfall raingauge range reflectance regions remote sensing data remote sensing systems resolution sample satellite data scale scanner scanning Seasat sensors snow soil associations soil moisture solar Source space spatial spectral stereoplotter studies surface surveys Table techniques temperature thermal tion ture types variations vegetation visible waveband wavelengths weather satellites wind
