1st Edition

Advances in Environmental Remote Sensing Sensors, Algorithms, and Applications

Edited By Qihao Weng Copyright 2011
    610 Pages 59 Color & 184 B/W Illustrations
    by CRC Press

    610 Pages 59 Color & 184 B/W Illustrations
    by CRC Press

    Generating a satisfactory classification image from remote sensing data is not a straightforward task. Many factors contribute to this difficulty including the characteristics of a study area, availability of suitable remote sensing data, ancillary and ground reference data, proper use of variables and classification algorithms, and the analyst’s experience. An authoritative text, Advances in Environmental Remote Sensing: Sensors, Algorithms, and Applications compiles comprehensive review articles to examine the developments in concepts, methods, techniques, and applications as well as focused articles and case studies on the latest on a particular topic.

    Divided into four sections, the first deals with various sensors, systems, or sensing operations using different regions of wavelengths. Drawing on the data and lessons learned from the U.S. Landsat remote sensing programs, it reviews key concepts, methods, and practical uses of particular sensors/sensing systems. Section II presents new developments in algorithms and techniques, specifically in image preprocessing, thematic information extraction, and digital change detection. It gives correction algorithms for hyperspectral, thermal, and multispectral sensors, discusses the combined method for performing topographic and atmospheric corrections, and provides examples of correcting non-standard atmospheric conditions, including haze, cirrus, and cloud shadow.

    Section III focuses on remote sensing of vegetation and related features of the Earth’s surface. It reviews advancements in the remote sensing of ecosystem structure, process, and function, and notes important trade-offs and compromises in characterizing ecosystems from space related to spatial, spectral, and temporal resolutions of the imaging sensors. It discusses the mismatch between leaf-level and species-level ecological variables and satellite spatial resolutions and the resulting difficulties in validating satellite-derived products.

    Finally, Section IV examines developments in the remote sensing of air, water, and other terrestrial features, reviews MODIS algorithms for aerosol retrieval at both global and local scales, and demonstrates the retrieval of aerosol optical thickness (AOT). This section rounds out coverage with a look at remote sensing approaches to measure the urban environment and examines the most important concepts and recent research.

    Sensors, Systems, and Platforms
    Landsat Imagery for Vegetation Studies, C. Song, J.M. Gray, and F. Gao
    A Review of Selected MODIS Algorithms, Data Products, and Applications, Y. Shao, G.N. Taff, and R.S. Lunetta
    Lidar Remote Sensing, S. Popescu
    The Impulse Synthetic Aperture Radar, G. Franceschetti and J. Tatoian
    Hyperspectral Remote Sensing of Vegetation Bioparameters, R. Pu and P. Gong
    Thermal Remote Sensing of Urban Areas, Q. Weng

    Algorithms and Techniques
    Atmospheric Correction Methods for Optical Remote Sensing Imagery of Land, R. Richter
    3D Geometric Correction of Earth Observation Satellite Data, T. Toutin
    Remote Sensing Image Classification, D. Lu, Q. Weng, E. Moran, G. Li, and S. Hetrick
    Object Based Image Analysis for Vegetation Mapping and Monitoring, T. Blaschke, K. Johansen, and D. Tiede
    Land Use and Cover Change Detection, D. Lu, E. Moran, S. Hetrick, and G. Li

    Environmental Applications - Vegetation
    Remote Sensing of Ecosystem Structure and Function, A.R. Huete and E.P. Glenn
    Remote Sensing of Live Fuel Moisture, S. Yool
    Forest Change Analysis Using Time Series Landsat Observations, C. Huang
    Satellite-Based Modeling of Gross Primary Production of Terrestrial Ecosystems, X. Xiao, H. Yan, J. Kalfas, and Q. Zhang
    Global Croplands and Their Water Use: Remote Sensing and Non-Remote Sensing Perspectives, P.S. Thenkabail, M.A. Hanjra, V. Dheeravath, and M. Gumma

    Environmental Applications - Air, Water, and Land
    Remote Sensing of Aerosols from Space: A Review of Aerosol Retrieval Using MODIS, M.S. Wong and J. Nichol
    Remote Estimation of Chlorophyll-A Concentration in Inland, Estuarine, and Coastal Waters, A. Gitelson, D. Gurlin, W. Moses, and Y. Yacobi
    Retrievals of Turbulent Heat Fluxes and Surface Soil Water Content by Remote Sensing, G.P. Petropoulos and T.N. Carlson
    Remote Sensing of Urban Biophysical Environment, Q. Weng
    Development of the USGS National Land Cover Database over Two Decades, G. Xian, C. Homer, and L. Yang


    Qihao Weng

    The form of the book (comprehensive reviews accompanied by application presentations), and the extent of its contents (wide range of sensors, platforms, wavelengths, methods, and applications areas), and the illustrative nature of case studies, provides an excellent supplementary text for both undergraduate students and a concise reference for scientists and engineers. Hearty congratualtions to all prominent contributors and the editor!
    PE&RS, Photogrammatic Engineering & Remote Sensing