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Scale Issues in Remote Sensing

Qihao Weng (Author)

9781118305041, Wiley

Hardback, published 15 April 2014

352 pages
24.1 x 16.3 x 3.2 cm, 0.694 kg

Provides up-to-date developments in the field of remote sensing by assessing scale issues in land surface, properties, patterns, and processes

Scale is a fundamental and crucial issue in remote sensing studies and image analysis. GIS and remote sensing scientists use various scaling techniques depending on the types of remotely sensed images and geospatial data used. Scaling techniques affect image analysis such as object identification and change detection.

This book offers up-to-date developments, methods, and techniques in the field of GIS and remote sensing and features articles from internationally renowned authorities on three interrelated perspectives of scaling issues: scale in land surface properties, land surface patterns, and land surface processes. It also visits and reexamines the fundamental theories of scale and scaling by well-known experts who have done substantial research on the topics.

Edited by a prominent authority in the geographic information science community, Scale Issues in Remote Sensing:

  • Offers an extensive examination of the fundamental theories of scale issues along with current scaling techniques
  • Studies scale issues from three interrelated perspectives: land surface properties, patterns, and processes
  • Addresses the impact of new frontiers in Earth observation technology (high-resolution, hyperspectral, Lidar sensing, and their synergy with existing technologies) and advances in remote sensing imaging science (object-oriented image analysis and data fusion)
  • Prospects emerging and future trends in remote sensing and their relationship with scale

Scale Issues in Remote Sensing is ideal as a professional reference for practicing geographic information scientists and remote sensing engineers as well as supplemental reading for graduate level students.

ACKNOWLEDGMENTS ix

CONTRIBUTORS xi

AUTHOR BIOGRAPHY xv

INTRODUCTION 1

1 Characterizing, Measuring, Analyzing, and Modeling Scale in Remote Sensing: An Overview 3
Qihao Weng

PART I SCALE, MEASUREMENT, MODELING, AND ANALYSIS 11

2 Scale Issues in Multisensor Image Fusion 13
Manfred Ehlers and Sascha Klonus

3 Thermal Infrared Remote Sensing for Analysis of Landscape Ecological Processes: Current Insights and Trends 34
Dale A. Quattrochi and Jeffrey C. Luvall

4 On the Issue of Scale in Urban Remote Sensing 61
Qihao Weng

PART II SCALE IN REMOTE SENSING OF PLANTS AND ECOSYSTEMS 79

5 Change Detection Using Vegetation Indices and Multiplatform Satellite Imagery at Multiple Temporal and Spatial Scales 81
Edward P. Glenn, Pamela L. Nagler, and Alfredo R. Huete

6 Upscaling with Conditional Cosimulation for Mapping Above-Ground Forest Carbon 108
Guangxing Wang and Maozhen Zhang

7 Estimating Grassland Chlorophyll Content from Leaf to Landscape Level: Bridging the Gap in Spatial Scales 126
Yuhong He

PART III SCALE AND LAND SURFACE PROCESSES 139

8 Visualizing Scale-Domain Manifolds: A Multiscale Geo-Object-Based Approach 141
Geoffrey J. Hay

9 Multiscale Segmentation and Classification of Remote Sensing Imagery with Advanced Edge and Scale-Space Features 170
Angelos Tzotsos, Konstantinos Karantzalos, and Demetre Argialas

10 Optimum Scale in Object-Based Image Analysis 197
Jungho Im, Lindi J. Quackenbush, Manqi Li, and Fang Fang

PART IV SCALE AND LAND SURFACE PATTERNS 215

11 Scaling Issues in Studying the Relationship Between Landscape Pattern and Land Surface Temperature 217
Hua Liu and Qihao Weng

12 Multiscale Fractal Characteristics of Urban Landscape in Indianapolis, USA 230
Bingqing Liang and Qihao Weng

13 Spatiotemporal Scales of Remote Sensing Precipitation 253
Yang Hong and Yu Zhang

PART V NEW FRONTIERS IN EARTH OBSERVATION TECHNOLOGY 265

14 Multiscale Approach for Ground Filtering from Lidar Altimetry Measurements 267
JoseeL. Silvan-Cárdenas and Le Wang

15 Hyperspectral Remote Sensing with Emphasis on Land Cover Mapping: From Ground to Satellite Observations 285
George P. Petropoulos, Kiril Manevski, and Toby N. Carlson

INDEX 321

Subject Areas: Electronics & communications engineering [TJ]
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