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Remote Sensing of Large Wildfires: In the European Mediterranean Basin [Multiple-component retail product]

Edited by (University of Alcala, Spain)
  • Formatas: Multiple-component retail product, 224 pages, aukštis x plotis: 235x155 mm, weight: 525 g, 36 black & white illustrations, 16 colour illustrations, 33 black & white tables, biography, Contains 1 Hardback and 1 CD-ROM
  • Išleidimo metai: 02-Jul-1999
  • Leidėjas: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3540657673
  • ISBN-13: 9783540657675
Kitos knygos pagal šią temą:
Remote Sensing of Large Wildfires: In the European Mediterranean BasinDidesnis paveikslėlis
  • Formatas: Multiple-component retail product, 224 pages, aukštis x plotis: 235x155 mm, weight: 525 g, 36 black & white illustrations, 16 colour illustrations, 33 black & white tables, biography, Contains 1 Hardback and 1 CD-ROM
  • Išleidimo metai: 02-Jul-1999
  • Leidėjas: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3540657673
  • ISBN-13: 9783540657675
Kitos knygos pagal šią temą:
Pastovi nuoroda: https://www.kriso.lt/db/9783540657675.html
Raktažodžiai:
The book provides a systematic review of the different applications for remote sensing and geographical information system techniques in research and management of forest fires. The authors have been involved in this field of research for several years. The book also benefits from data generated within the Megafires project, founded under the DG-XII of the European Union. A clear integration of research and experience is provided. New data gathered from fires affecting European countries between 1991 and 1997 are included as well as satellite images and auxiliary cartographic information. Geographic Information System files have been included in the attached CD-ROM depicting land cover, elevation, Koeppen classification climates and NOAA-AVHRR data of all European Mediterranean Europe at 1 sq km resolution. All these files are in Idrisi format and can be easily accessed from any GIS program. An Idrisi viewer has also been included in the CD-ROM.
Introduction
1(2)
The role of fire in European Mediterranean ecosystems
3(14)
Introduction
3(1)
Fire history
4(3)
Statistics
4(2)
Land-use changes
6(1)
Climate change
7(1)
Fire effects on soils
7(2)
Post-fire regeneration of vegetation
9(6)
Plant traits
9(1)
Environmental conditions
10(2)
Prediction of long-term effects
12(3)
Concluding remarks
15(2)
Short-term fire risk: foliage moisture content estimation from satellite data
17(22)
The role of foliage moisture content in the short-term estimation of fire danger
17(1)
The estimation of foliage moisture content
18(1)
The effect of moisture content on reflectance and temperature
19(2)
The use of low resolution data for foliage moisture estimation
21(1)
Application of NOAA-AVHRR to FMC estimation
22(12)
Study areas
22(2)
Satellite data processing
24(1)
Results on Chalkidiki study area
25(2)
Results on Cabaneros study area
27(1)
Results on Les Maures study area
28(3)
Results on ONF land plots
31(1)
Discussion
32(1)
Conclusion
33(1)
Foliage moisture assessment using high resolution data
34(5)
Meteorological fire danger indices and remote sensing
39(22)
Introduction
39(1)
Processes and components embodied in fire danger indices
40(2)
Meteorological fire danger indices
42(2)
Large fire danger rating with meteorological indices in the European Mediterranean Basin
44(8)
Databases and danger indices
44(2)
Climatic stratification
46(1)
Logistic regression
46(2)
Assessment of the logistic model
48(4)
Satellite data and meteorological danger indices
52(9)
Satellite data and the logistic model for large fire danger rating
53(2)
Estimation of long-term fire danger indices from satellite data
55(6)
Integrated fire risk mapping
61(40)
Temporal and spatial scales in fire risk mapping
61(1)
The use of GIS in fire risk assessment
62(5)
Description of geographical variables of fire risk
63(2)
Criteria to integrate forest fire danger variables
65(2)
Analysis of long-term fire risk on a European level
67(11)
Introduction
67(1)
Selection of risk variables
68(2)
Techniques to estimate large Fire occurrence
70(1)
Logistic Regression
70(4)
Linear Regression
74(1)
Artificial Neural Networks
75(3)
Conclusions
78(1)
Examples of local-scale risk analysis
78(23)
Proposal of a local-risk index
79(3)
Application at local level
82(19)
Fire detection and fire growth monitoring using satellite data
101(22)
Introduction
101(1)
Basis for fire detection from satellite data
102(3)
General issues related to remote sensing of active fires
105(4)
Temporal issues
106(1)
Thermal sensitivity issues
106(1)
Spatial issues
107(1)
Other problems related with satellite fire observation and detection
108(1)
Active fire detection with NOAA-AVHRR images
109(9)
Channel 3 single threshold algorithms
110(1)
Multi-channel threshold algorithms
110(3)
Contextual algorithms
113(3)
Sub-pixel fire detection algorithm
116(1)
Additional issues
117(1)
Fire growth monitoring using AVHRR images
118(1)
Future systems
119(2)
Conclusions
121(2)
Spectral characterisation and discrimination of burnt areas
123(16)
Introduction
123(1)
Spectral properties of burnt areas
124(13)
Visible (0.4 - 0.7 μm)
125(2)
Near-infrared (0.7 - 1.3 μm)
127(2)
Mid-infrared (1.3 - 8.0 μm)
129(3)
Thermal infrared (8.0 - 14.0 μm)
132(1)
Microwave (> 1 mm)
133(2)
An overview of the characteristics of burnt surfaces using Landsat 5 TM imagery
135(1)
Spectral properties and colour composites
135(1)
Fire-induced spectral changes and vegetation recovery
136(1)
Conclusions
137(2)
Regional-scale burnt area mapping in southern Europe using NOAA-AVHRR 1km data
139(18)
Introduction
139(1)
Methods for burnt land mapping
140(3)
Mapping burnt areas in southern Europe from NOAA-AVHRR data
143(10)
Data and methods
143(5)
Results
148(5)
Discussion and conclusions
153(4)
Burnt land mapping at local scale
157(32)
Introduction
157(2)
Scale issues in burnt land mapping
159(1)
Operational burnt land mapping in Mediterranean landscapes
160(6)
Structure of the Mediterranean landscape
160(1)
Methodological approaches for burnt land mapping
161(3)
Advantages of using high resolution sensors
164(2)
Techniques for burnt land mapping
166(12)
Overview
166(2)
Description of the techniques
168(1)
Principal component analysis
168(1)
Spectral mixture analysis
169(2)
Logistic regression modeling
171(3)
Intensity-Hue-Saturation transformation
174(3)
Other techniques
177(1)
Discrimination of damage intensities
178(9)
Interest of discriminating damage intensities
178(2)
Description of the techniques
180(1)
Vegetation Indices thresholding
180(1)
Unsupervised classification: segment-based classification
181(2)
Supervised classification
183(4)
Epilogue
187(2)
References 189(22)
Index 211