Introduction to Remote Sensing, Fifth EditionGuilford Press, 2011 M06 15 - 667 páginas This book has been replaced by Introduction to Remote Sensing, Sixth Edition, 978-1-4625-4940-5. |
Contenido
Chapter OneHistory and Scope of Remote Sensing | 3 |
Chapter TwoElectromagnetic Radiation | 31 |
Chapter ThreeMapping Cameras | 61 |
Chapter FourDigital Imagery | 101 |
Chapter FiveImage Interpretation | 130 |
Chapter SixLand Observation Satellites | 158 |
Chapter SevenActive Microwave | 204 |
Chapter EightLidar | 243 |
Chapter FourteenAccuracy Assessment | 408 |
Chapter FifteenHyperspectral Remote Sensing | 429 |
Chapter SixteenChange Detection | 445 |
Chapter SeventeenPlant Sciences | 465 |
Chapter EighteenEarth Sciences | 517 |
549 | |
Chapter TwentyLand Use and Land Cover | 585 |
614 | |
Chapter NineThermal Imagery | 257 |
Chapter TenImage Resolution | 285 |
Chapter ElevenPreprocessing | 305 |
Chapter TwelveImage Classification | 335 |
Chapter ThirteenField Data | 382 |
643 | |
About the Authors | 667 |
Color Insert | 669 |
Términos y frases comunes
accuracy accurate acquired aerial imagery aerial photography agricultural aircraft analysis angle applications areas assessment atmospheric AVHRR band camera Chapter chlorophyll classes classification color Cover Mapping coverage crop defined designed detail detectors diagram display distance Earth effects energy Engineering and Remote errors estimates example field Figure forest geologic Global ground hyperspectral image interpretation infrared instruments Journal of Remote Land Cover Landsat Landsat MSS landscape lidar measurements multispectral NASA NDVI objects observed orbit panchromatic patterns Photogrammetric Engineering photographs pixels plants radar radiation radiometric record reflectance region Remote Sensing remotely sensed data remotely sensed images represent sample satellite scene Seasat sensed data Sensing of Environment sensor signal soil spatial resolution specific spectral spectral classes spectrum stereoscopic temperature terrain thermal tion training data U.S. Geological Survey unsupervised classification variations varied vegetation visible visible spectrum water bodies wavelengths