Advances in Environmental Remote Sensing: Sensors, Algorithms, and App

Description

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... Read more

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.

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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. Petropoulosand T.N. CarlsonRemote 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

Editor(s)

Biography

Qihao Weng

Critics' Reviews

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

Advances in Environmental Remote Sensing Sensors, Algorithms, and Applications

Description

Table of Contents

Editor(s)

Biography

Critics' Reviews

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