Cover image for Advanced Remote Sensing : Terrestrial Information Extraction and Applications.
Advanced Remote Sensing : Terrestrial Information Extraction and Applications.
Title:
Advanced Remote Sensing : Terrestrial Information Extraction and Applications.
Author:
Liang, Shunlin.
ISBN:
9780123859556
Personal Author:
Physical Description:
1 online resource (821 pages)
Contents:
Front Cover -- Advanced Remote Sensing: Terrestrial Information Extraction and Applications -- Copyright -- Contents -- Foreword -- Preface -- Acknowledgments -- List of Contributors -- Chapter 1 - A Systematic View of Remote Sensing -- 1.1. INTRODUCTION -- 1.2. PLATFORM AND SENSOR SYSTEM -- 1.3. DATA TRANSMISSION AND GROUND RECEIVING SYSTEM -- 1.4. DATA PROCESSING SYSTEM -- 1.5. MAPPING CATEGORY VARIABLES -- 1.6. ESTIMATING QUANTITATIVE VARIABLES -- 1.7. PRODUCTION, ARCHIVING, AND DISTRIBUTION OF HIGH-LEVEL PRODUCTS -- 1.8. PRODUCT VALIDATION -- 1.9. REMOTE SENSING APPLICATIONS -- 1.10. CONCLUDING REMARKS -- References -- Chapter 2 - Geometric Processing and Positioning Techniques -- 2.1. OVERVIEW -- 2.2. GEOMETRIC CALIBRATION OF SATELLITE REMOTE-SENSING IMAGERY -- 2.3. GEOMETRIC RECTIFICATION OF A SINGLE REMOTE-SENSING IMAGE -- 2.4. GEOMETRIC REGISTRATION OF SATELLITE REMOTE-SENSING IMAGERY -- 2.5. CONSTRUCTION OF A DIGITAL TERRAIN MODEL -- 2.6. ORTHOIMAGE PRODUCTION -- 2.7. SUMMARY -- References -- Chapter 3 - Compositing, Smoothing, and Gap-Filling Techniques -- 3.1. MULTITEMPORAL COMPOSITING TECHNIQUES -- 3.2. TIME-SERIES DATA SMOOTHING AND GAP-FILLING -- 3.3. SUMMARY -- References -- Chapter 4 - Data Fusion -- 4.1. AN OVERVIEW OF REMOTE-SENSING DATA FUSION -- 4.2. METHODS FOR PIXEL-LEVEL REMOTE-SENSING DATA FUSION -- 4.3. GENERALIZED MODEL FOR PIXEL-LEVEL REMOTE-SENSING DATA FUSION -- 4.4. HETEROGENEOUS DATA SOURCE FUSION TECHNIQUE -- 4.5. SUMMARY -- References -- Chapter 5 - Atmospheric Correction of Optical Imagery -- 5.1. ATMOSPHERIC EFFECTS -- 5.2. CORRECTING THE AEROSOL IMPACT -- 5.3. CORRECTING THE IMPACT OF WATER VAPOR -- 5.4. CORRECTING THE IMPACTS OF OTHER CONSTITUENTS -- 5.5. COMMONLY USED MODELS AND SOFTWARE -- 5.6. CONCLUSIONS -- References -- Chapter 6 - Solar Radiation -- 6.1. BASIC CONCEPTS.

6.2. OBSERVATION NETWORK OF LAND-SURFACE RADIATION -- 6.3. SURFACE RADIATION ESTIMATION BASED ON SATELLITE REMOTE SENSING AND GLOBAL CIRCULATION MODEL (GCM) -- 6.4. SUMMARY AND DISCUSSIONS -- NOMENCLATURE -- References -- Chapter 7 - Broadband Albedo -- 7.1. LAND-SURFACE BI-DIRECTIONAL REFLECTANCE MODELING -- 7.2. THE ALBEDO ESTIMATION METHOD BASED ON BI-DIRECTIONAL REFLECTANCE MODEL INVERSION -- 7.3. THE DIRECT ESTIMATION OF SURFACE ALBEDO -- 7.4. JOINT OPTIMIZATION OF SURFACE-ATMOSPHERIC PARAMETERS -- 7.5. GLOBAL LAND-SURFACE ALBEDO PRODUCTS -- 7.6. TEMPORAL AND SPATIAL ANALYSIS OF THE GLOBAL LAND SURFACE ALBEDO -- 7.7. PROBLEMS AND PROSPECTS -- References -- Chapter 8 - Land-Surface Temperature and Thermal Infrared Emissivity -- 8.1. THE DEFINITIONS OF LST AND LSE -- 8.2. THE ESTIMATION OF AVERAGE LST -- 8.3. LSE ESTIMATION METHODS -- 8.4. LSE AND LST PRODUCTS -- 8.5. SUMMARY -- ACRONYMS -- References -- Chapter 9 - Surface Longwave Radiation Budget -- 9.1. SURFACE DOWNWARD LONGWAVE RADIATION -- 9.2. SURFACE UPWELLING LONGWAVE RADIATION -- 9.3. SURFACE NET LONGWAVE RADIATION -- 9.4. GROUND VALIDATION NETWORKS AND EXISTING SATELLITE-DERIVED SURFACE LONGWAVE RADIATION BUDGET PRODUCTS -- 9.5. SUMMARY -- References -- Chapter 10 - Canopy Biochemical Characteristics -- 10.1. OVERVIEW OF PRINCIPLES AND METHODS -- 10.2. EMPIRICAL AND SEMI-EMPIRICAL METHODS -- 10.3. EXTRACTION USING PHYSICAL MODELS -- 10.4. CONCLUSIONS AND DISCUSSIONS -- References -- Chpater 11 - Leaf Area Index -- 11.1. DEFINITIONS -- 11.2. STATISTICAL METHODS -- 11.3. CANOPY MODEL INVERSION METHODS -- 11.4. DATA ASSIMILATION METHODS -- 11.5. GLOBAL AND REGIONAL LAI PRODUCTS -- 11.6. LAI CLIMATOLOGY -- 11.7. SUMMARY -- References -- Chapter 12 - Fraction of Absorbed Photosynthetically Active Radiation by Green Vegetation -- 12.1. DEFINITIONS -- 12.2. FAPAR FIELD MEASUREMENTS.

12.3. MONTE CARLO (MC) SIMULATION -- 12.4. EMPIRICAL RETRIEVAL METHODS -- 12.5. POPULAR REMOTE-SENSING FAPAR PRODUCTS -- 12.6. FAPAR RETRIEVAL METHOD BASED ON THE HYBRID VEGETATION SPECTRAL MODEL -- 12.7. CASE STUDY -- 12.8. SUMMARY -- References -- Chapter 13 - Fractional Vegetation Cover -- 13.1. INTRODUCTION -- 13.2. FIELD MEASUREMENTS OF FVC -- 13.3. THE REMOTE-SENSING RETRIEVAL -- 13.4. CURRENT REMOTE-SENSING PRODUCTS -- 13.5. CHALLENGES AND PROSPECTS FOR FVC ESTIMATION -- References -- Chapter 14 - Vegetation Height and Vertical Structure -- 14.1. FIELD MEASUREMENT OF VEGETATION HEIGHT AND VERTICAL STRUCTURE -- 14.2. SMALL-FOOTPRINT LIDAR DATA -- 14.3. LARGE-FOOTPRINT LIDAR DATA -- 14.4. VEGETATION CANOPY HEIGHT AND VERTICAL STRUCTURE FROM SAR DATA -- 14.5. FUTURE PERSPECTIVES -- References -- Chapter 15 - Above-ground Biomass -- 15.1. INTRODUCTION -- 15.2. ALLOCATION METHODS -- 15.3. OPTICAL REMOTE-SENSING METHODS -- 15.4. ACTIVE REMOTE-SENSING METHODS -- 15.5. METHODS FOR BIOMASS ESTIMATION FROM MULTISOURCE DATA -- 15.6. FUTURE PERSPECTIVE -- References -- Chapter 16 - Vegetation Production in Terrestrial Ecosystems -- 16.1. CONCEPT OF VEGETATION PRODUCTION -- 16.2. GROUND OBSERVATION OF VEGETATION PRODUCTION -- 16.3. STATISTICAL MODELS BASED ON THE VEGETATION INDEX -- 16.4. LIGHT-USE EFFICIENCY MODEL BASED ON REMOTE-SENSING DATA -- 16.5. DYNAMIC GLOBAL VEGETATION MODELS (DGVMS) -- 16.6. TEMPORAL AND SPATIAL DISTRIBUTION PATTERN OF GLOBAL VEGETATION PRODUCTIVITY -- 16.7. SUMMARY -- References -- Chapter 17 - Precipitation -- 17.1. SURFACE MEASUREMENT TECHNIQUES -- 17.2. ESTIMATION FROM SATELLITE DATA -- 17.3. GLOBAL AND REGIONAL DATASETS -- 17.4. GLOBAL PRECIPITATION CLIMATOLOGY -- 17.5. FUTURE PERSPECTIVES -- References -- Chapter 18 - Terrestrial Evapotranspiration -- 18.1. INTRODUCTION -- 18.2. BASIC THEORIES OF λE.

18.3. SATELLITE λE ALGORITHMS -- 18.4. OBSERVATIONS FOR ALGORITHM CALIBRATION AND VALIDATION -- 18.5. CONCLUSIONS AND DISCUSSION -- ACKNOWLEDGEMENTS -- References -- Chapter 19 - Soil Moisture Content -- 19.1. INTRODUCTION -- 19.2. CONVENTIONAL SMC MEASUREMENT TECHNIQUES -- 19.3. MICROWAVE REMOTE-SENSING METHODS -- 19.4. OPTICAL AND THERMAL-IR REMOTE-SENSING METHODS -- 19.5. ESTIMATION OF SOIL MOISTURE PROFILE -- 19.6. COMPARISON OF DIFFERENT REMOTE-SENSING TECHNIQUES -- 19.7. AVAILABLE DATASETS AND SPATIAL AND TEMPORAL VARIATIONS -- 19.8. CONCLUSIONS -- References -- Chapter 20 - Snow Water Equivalence -- 20.1. PASSIVE MICROWAVE REMOTE-SENSING TECHNIQUES -- 20.2. ACTIVE MICROWAVE REMOTE-SENSING TECHNIQUES -- 20.3. VISIBLE BAND REMOTE-SENSING TECHNIQUES -- 20.4. SUMMARY -- References -- Chapter 21 - Water Storage -- 21.1. WATER-BALANCE-BASED ESTIMATION -- 21.2. SURFACE-PARAMETER-BASED ESTIMATION -- 21.3. GRACE-BASED ESTIMATION -- 21.4. DISCUSSION AND FUTURE PROSPECTS -- References -- Chapter 22 - High-level Land Product Integration Methods -- 22.1. INTRODUCTION -- 22.2. GEOSTATISTICAL METHODS -- 22.3. MULTIRESOLUTION TREE -- 22.4. EMPIRICAL ORTHOGONAL FUNCTION (EOF)-BASED METHODS -- 22.5. SUMMARY -- References -- Chapter 23 - Production and Data Management Systems -- 23.1. OVERVIEW OF THE PRODUCTION AND DATABASE MANAGEMENT -- 23.2. SYSTEM HARDWARE -- 23.3. PRODUCTION SYSTEM -- 23.4. DATA MANAGEMENT SYSTEM -- 23.5. SUMMARY -- References -- Chapter 24 - Land Cover and Land use Changes -- 24.1. INTRODUCTION -- 24.2. URBANIZATION -- 24.3. INTENSIVE AGRICULTURE -- 24.4. FOREST COVER CHANGES -- 24.5. CONCLUSIONS -- References -- Index.
Abstract:
Advanced Remote Sensing is an application-based reference that provides a single source of mathematical concepts necessary for remote sensing data gathering and assimilation. It presents state-of-the-art techniques for estimating land surface variables from a variety of data types, including optical sensors such as RADAR and LIDAR. Scientists in a number of different fields including geography, geology, atmospheric science, environmental science, planetary science and ecology will have access to critically-important data extraction techniques and their virtually unlimited applications. While rigorous enough for the most experienced of scientists, the techniques are well designed and integrated, making the book's content intuitive, clearly presented, and practical in its implementation. Comprehensive overview of various practical methods and algorithms Detailed description of the principles and procedures of the state-of-the-art algorithms Real-world case studies open several chapters More than 500 full-color figures and tables Edited by top remote sensing experts with contributions from authors across the geosciences.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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