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Editorial Reviews
Review
“…a well-researched book that the environmental modelling community will find an indispensable reference.” (Progress in Physical Geography, Vol.29, No.1, 2005)
“…extremely well produced, with good layout, clear type, a useful list of acronyms and a comprehensive index…timely and refreshing...” (The Photogrammetric Record, December 2004)
"This volume a very useful and practical addition to the literature on remote sensing.” (E-STREAMS, August 2004)
Product Description
Processing the vast amounts of data on the Earth's land surface environment generated by NASA's and other international satellite programs is a significant challenge. Filling a gap between the theoretical, physically-based modelling and specific applications, this in-depth study presents practical quantitative algorithms for estimating various land surface variables from remotely sensed observations.
A concise review of the basic principles of optical remote sensing as well as practical algorithms for estimating land surface variables quantitatively from remotely sensed observations.
Emphasizes both the basic principles of optical remote sensing and practical algorithms for estimating land surface variables quantitatively from remotely sensed observations
Presents the current physical understanding of remote sensing as a system with a focus on radiative transfer modelling of the atmosphere, canopy, soil and snow
Gathers the state of the art quantitative algorithms for sensor calibration, atmospheric and topographic correction, estimation of a variety of biophysical and geoph ysical variables, and four-dimensional data assimilation
A concise review of the basic principles of optical remote sensing as well as practical algorithms for estimating land surface variables quantitatively from remotely sensed observations.
Emphasizes both the basic principles of optical remote sensing and practical algorithms for estimating land surface variables quantitatively from remotely sensed observations
Presents the current physical understanding of remote sensing as a system with a focus on radiative transfer modelling of the atmosphere, canopy, soil and snow
Gathers the state of the art quantitative algorithms for sensor calibration, atmospheric and topographic correction, estimation of a variety of biophysical and geoph ysical variables, and four-dimensional data assimilation
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Inside This Book
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First Sentence:
This chapter introduces the background information and basic concepts of optical remote sensing. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
land surface variables, broadband albedos, hapke model, geometric optical models, sensor spectral response functions, radiative transfer solvers, column water vapor content, surface reflectance spectra, hotspot effect, viewing zenith angle, albedo products, narrowband albedos, solar illumination direction, surface directional reflectance, atmospheric radiative transfer equation, radiance range, corresponding albedos, total water vapor content, broadband emissivity, surface leaving radiance, quantitative remote sensing, sky radiance distribution, canopy reflectance model, emissivity spectra, snow reflectance Key Phrases - Capitalized Phrases (CAPs): (learn more)
Remote Sens, United States, Forest Meteorol, John Wiley, Academic Press, Soil Sci, Water Resour, Cambridge Univ, Monthly Weather Rev, Oxford Univ, New Mexico, Numerical Recipes, Photon-Vegetation Interactions, American Geophysical Union, Climate Appl, Deepak Publishing, Dover Publications, Earth Observer, Kluwer Academic Publishers, Progress Phys, Science Plan, Space Res, Surface Figure, Earth Observing System, Fortran Version New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
This chapter introduces the background information and basic concepts of optical remote sensing. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
land surface variables, broadband albedos, hapke model, geometric optical models, sensor spectral response functions, radiative transfer solvers, column water vapor content, surface reflectance spectra, hotspot effect, viewing zenith angle, albedo products, narrowband albedos, solar illumination direction, surface directional reflectance, atmospheric radiative transfer equation, radiance range, corresponding albedos, total water vapor content, broadband emissivity, surface leaving radiance, quantitative remote sensing, sky radiance distribution, canopy reflectance model, emissivity spectra, snow reflectance Key Phrases - Capitalized Phrases (CAPs): (learn more)
Remote Sens, United States, Forest Meteorol, John Wiley, Academic Press, Soil Sci, Water Resour, Cambridge Univ, Monthly Weather Rev, Oxford Univ, New Mexico, Numerical Recipes, Photon-Vegetation Interactions, American Geophysical Union, Climate Appl, Deepak Publishing, Dover Publications, Earth Observer, Kluwer Academic Publishers, Progress Phys, Science Plan, Space Res, Surface Figure, Earth Observing System, Fortran Version New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 52
books:
See all 52 books this book cites
2
books
cite this book:
- Theory and Applications of Optical Remote Sensing (Wiley Series in Remote Sensing and Image Processing) by Ghassem Asrar on 6 pages
- Numerical Recipes: The Art of Scientific Computing by William H. Press on 5 pages
- An Introduction to Atmospheric Radiation, Volume 84, Second Edition (International Geophysics) by K. N. Liou on page 73, page 228, and page 342
- Plant Physiology by Frank Salisbury on page 138, page 140, and page 141
- Statistics for Spatial Data (Wiley Series in Probability and Statistics) by Noel A. C. Cressie on page 22, and page 303
See all 52 books this book cites
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