<p>The huge growth in the use of geographic information systems, remote sensing platforms and spatial databases have made accurate spatial data more available for ecological and environmental models. Unfortunately, there has been too little analysis of the appropriate use of this data and the role o
Uncertainty in Remote Sensing and GIS
β Scribed by Giles M. Foody, Peter M. Atkinson
- Publisher
- Wiley
- Year
- 2003
- Tongue
- English
- Leaves
- 331
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Remote sensing and geographical information science (GIS) have advanced considerably in recent years. However, the potential of remote sensing and GIS within the environmental sciences is limited by uncertainty, especially in connection with the data sets and methods used. In many studies, the issue of uncertainty has been incompletely addressed. The situation has arisen in part from a lack of appreciation of uncertainty and the problems it can cause as well as of the techniques that may be used to accommodate it.
This book provides general overviews on uncertainty in remote sensing and GIS that illustrate the range of uncertainties that may occur, in addition to describing the means of measuring uncertainty and the impacts of uncertainty on analyses and interpretations made.
Uncertainty in Remote Sensing and GIS provides readers with comprehensive coverage of this largely undocumented subject:
- Relevant to a broad variety of disciplines including geography, environmental science, electrical engineering and statistics
- Covers range of material from base overviews to specific applications
- Focuses on issues connected with uncertainty at various points along typical data analysis chains used in remote sensing and GIS
Written by an international team of researchers drawn from a variety of disciplines, Uncertainty in Remote Sensing and GIS provides focussed discussions on topics of considerable importance to a broad research and user community. The book is invaluable reading for researchers, advanced students and practitioners who want to understand the nature of uncertainty in remote sensing and GIS, its limitations and methods of accommodating it.
β¦ Table of Contents
Uncertainty in Remote Sensing and GIS......Page 3
Contents......Page 7
List of Contributors......Page 9
Foreword......Page 13
Preface......Page 19
1 Uncertainty in Remote Sensing and GIS: Fundamentals......Page 21
2 Uncertainty in Remote Sensing......Page 39
3 Toward a Comprehensive View of Uncertainty in Remote Sensing Analysis......Page 45
4 On the Ambiguity Induced by a Remote Sensor's PSF......Page 57
5 Pixel Unmixing at the Sub-pixel Scale Based on Land Cover Class Probabilities: Application to Urban Areas......Page 79
6 Super-resolution Land Cover Mapping from Remotely Sensed Imagery using a Hopfield Neural Network......Page 97
7 Uncertainty in Land Cover Mapping from Remotely Sensed Data using Textural Algorithm and Artificial Neural Networks......Page 119
8 Remote Monitoring of the Impact of ENSO-related Drought on Sabah Rainforest using NOAA AVHRR Middle Infrared Reflectance: Exploring Emissivity Uncertainty......Page 139
9 Land Cover Map 2000 and Meta-data at the Land Parcel Level......Page 163
10 Analysing Uncertainty Propagation in GIS: Why is it not that Simple?......Page 175
11 Managing Uncertainty in a Geospatial Model of Biodiversity......Page 187
12 The Effects of Uncertainty in Deposition Data on Predicting Exceedances of Acidity Critical Loads for Sensitive UK Ecosystems......Page 207
13 Vertical and Horizontal Spatial Variation of Geostatistical Prediction......Page 229
14 Geostatistical Prediction and Simulation of the Lateral and Vertical Extent of Soil Horizons......Page 243
15 Increasing the Accuracy of Predictions of Monthly Precipitation in Great Britain using Kriging with an External Drift......Page 263
16 Conditional Simulation Applied to Uncertainty Assessment in DTMs......Page 289
17 Current Status of Uncertainty Issues in Remote Sensing and GIS......Page 307
Index......Page 323
Colour Plates......Page 328
β¦ Subjects
ΠΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΊΠ° ΠΈ Π²ΡΡΠΈΡΠ»ΠΈΡΠ΅Π»ΡΠ½Π°Ρ ΡΠ΅Ρ Π½ΠΈΠΊΠ°;ΠΠ΅ΠΎΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΡΠ΅ ΡΠ΅Ρ Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ (ΠΠΠ‘);
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