Remote sensing of vegetation: principles, techniques, and applications
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| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Oxford [u.a.]
Oxford Univ. Press
2010
|
| Edition: | 1. publ. |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XXVI, 353 Seiten, [6] Blätter Ill., graph. Darst., Kt. |
| ISBN: | 9780199207794 |
Staff View
MARC
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| 100 | 1 | |a Jones, Hamlyn G. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Remote sensing of vegetation |b principles, techniques, and applications |c Hamlyn G. Jones ; Robin A. Vaughan |
| 250 | |a 1. publ. | ||
| 264 | 1 | |a Oxford [u.a.] |b Oxford Univ. Press |c 2010 | |
| 300 | |a XXVI, 353 Seiten, [6] Blätter |b Ill., graph. Darst., Kt. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 650 | 4 | |a Ecosystem management |x Remote sensing | |
| 650 | 4 | |a Plants |x Remote sensing | |
| 650 | 4 | |a Vegetation and climate |x Remote sensing | |
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Record in the Search Index
| _version_ | 1804141011110199296 |
|---|---|
| adam_text | Table of
contents
Preface
v
Acknowledgements
vii
Symbols
xvii
Abbreviations and acronyms
xxiii
1
Introduction
1
1.1
History
1
1.2
Interpretation of the term remote sensing
2
1.3
Plant physiology and remote sensing
3
1.4
Some important considerations for the future
3
1.4.1
Continuity
3
1.4.2
Data availability
4
1.5
The structure of this book
5
ô
Websites
6
2
Basics of radiation physics for remote sensing of vegetation
7
2.1
Introduction
7
2.2
Radiation characteristics
7
2.2.1
Electromagnetic radiation
8
2.2.2
Electromagnetic spectrum
8
2.2.3
Electromagnetic energy
10
2.2.4
Sources of radiation
10
2.2.5
Radiometrie
terms and definitions
11
2.3
Interaction of radiation with matter
13
2.3.1
Cenerai
principles
13
2.3.2
Propagation of radiation
-
interaction with the atmosphere
13
2.3.3
Interactions with target surfaces
19
2.4
Thermal radiation
22
2.5
Microwave radiation
23
2.6
Diffraction and interference
25
2.6.1
Diffraction
26
2.6.2
Interference
27
2.6.3
Bragg scattering
28
2.7
The radiation environment
28
2.7.1
Shortwave radiation
28
2.7.2
Longwave radiation
31
2.7.3
Radiation and the global energy budget
31
2.7.4
Microwave radiation
34
■
Further reading
34
χ
Table of contents
©
Websites
34
θ
Sample problems
34
3
Radiative properties of vegetation, soils, and water
36
3.1
Optical region
37
3.1.1
Leaf radiative properties
37
3.1.2
Radiative properties of soil and water
45
3.1.3
Radiative properties of canopies
47
3.1.4
Measurement of leaf-angle distributions
58
3.2
Thermal region
58
3.2.1
Emissivities of canopy components
59
3.2.2
Emissivities of canopies
61
3.3
Microwave region
63
3.3.1
Microwave
emissività
63
3.3.2
Microwave backscatter
64
3.3.3
Advantages of microwaves
fórremete
sensing of vegetation
66
3.4
Other types of radiation
67
■
Further reading
67
©
Websites
67
θ
Sample problems
67
4
Plant and canopy function
68
4.1
Introduction
68
4.2
Plant anatomy and function
68
4.2.1
Photosynthesis and respiration
70
4.2.2
Water relations, evaporation, and water loss
73
4.2.3
Other exchange processes (e.g. momentum and pollutants)
75
4.3
Principles of mass and energy transfer between
vegetation and atmosphere
76
4.3.1
Cenerai
transport equation
76
4.3.2
Diffusion
76
4.3.3
Convection and turbulent transfer
77
4.3.4
Resistances and conductances
78
4.3.5
Units and analogies between different transfer processes
78
4.4
Canopy-atmosphere exchanges
79
4.4.1
Energy balance
-
steady state
79
4.4.2
Sensible heat flux
81
4.4.3
Evaporation
81
4.4.4
Penman-Monteith combination equation
82
4.4.5
Canopy models
83
4.4.6
Non-steady state
84
Table
of contents
xi
4.5
Measurement of fluxes
87
4.5.
1 Cuvette and chamber approaches
87
4.5.2
Micrometeorological and meteorological methods
88
M
Further reading
91
θ
Sample problems
91
5
Earth observation systems
92
5.1
Principles of system design
93
5././
Pictures and pixels
93
5.7.2
Resolution
93
5.1.3
Principles of measurement
94
5.2
Sensing platforms
95
5.2.7
Static and
within-fìeld
platforms
95
5.2.2
Aircraft
95
5.2.3
Satellites and orbits
96
5.2.4
The ground segment
99
5.3
Sensing instruments
99
5.3.7
Cameras
100
5.3.2
Radiometers
100
5.3.3
Line scanners
101
5.4
What is in a pixel?
104
5.5
Using microwaves
107
5.5.7
Passive microwave sensing
108
5.5.2
Active microwave sensing
109
5.6
Laser scanning and
Lidar
113
5.7
Observing system principles
116
5.77
Sensing logistics
116
5.72
User requirements
116
5.7.3
Data limitations
117
5.8
Current systems
118
5.8.7
Low-resolution systems
119
5.8.2
Medium-resolution systems
120
5.83
High-resolution systems
121
5.8.4
Smallsats
121
5.8.5
Microwave systems
123
5.8.6
Laser systems
124
5.8.7
Airborne systems
124
5.9
Data reception
125
■I Further reading
126
5
Websites
126
6
Sample problems
126
xii
Table
of
contents
6
Preparation and manipulation of optical data
128
6.1
Introduction
128
6.2
Image correction
129
6.2.1
Geometric correction
129
6.2.2
Radiometrie
correction
134
6.2.3
Thermal data and estimation of surface temperature
140
6.3
Image display
142
6.3.1
Resampling/windowing
142
6.3.2
Density slicing
142
6.3.3
Colour composites
143
6.3.4
Other forms of display
144
6.4
Image enhancement
144
6.47
Contrast stretching
144
6.4.2
Spectral indices
145
6.4.3
Spatial filtering techniques
146
6.4.4
Principal components
147
6.4.5
Intensity, hue, and saturation transform
149
6.4.6
Data fusion
150
6.4.7
Data assimilation
151
6.5
Image interpretation
152
6.5.1
Classification
152
6.5.2
Spatial and texture analysis
152
6.5.3
Object detection and analysis
156
6.5.4
Scale and scaling up
156
6.5.5
The multiconcept
157
6.6
Radar image interpretation
158
6.6.1
Radar geometry
158
6.6.2
Speckle
159
6.6.3
Types of radar imagery
159
6.6.4
Interferometry
160
6.6.5
Image interpretation
160
Ш
Further reading
161
©
Websites
161
θ
Sample problems
161
7
Use of spectral information for sensing vegetation
163
properties and for image classification
7.1
Introduction to multispectral and hyperspectral
163
sensing and imaging
7.2
Spectral indices
164
7.2.1
Vegetation indices and vegetation descriptors
165
7.2.2
Narrowband indices
177
Table
of contents
xiii
7.2.3
Use of multiple wavelengths and derivative spectroscopy
178
7.2.4
Water indices
182
7.3
Some other approaches to the estimation of vegetation cover
184
7.3.1
Estimation of fractional vegetation cover using
Lidar
184
7.3.2
Microwave vegetation indices
184
7.4
Image classification
184
7.4.1
Scatter diagrams
186
7.4.2
Basic classification approaches
187
7.4.3
Mixed pixels
192
Ш
Further reading
194
©
Websites
194
θ
Sample problems
194
8
Multiangular sensing of vegetation structure and
modelling of radiation-transfer properties
196
8.1
Introduction to multiangular sensing
196
8.1.1
Why use multiangular measurement?
196
8.1.2
The basis for angular variation in reflectance
198
8.1.3
Bidirectional reflectance definitions
199
8.1.4
Principle of reciprocity
200
8. /.5
Extraction of canopy structure from BRF information
201
8.2
Measurement of the BRF
202
8.2.1
Basic approaches
202
8.2.2
Some other practical considerations in BRF measurement
204
8.3
Radiation transfer and canopy reflectance models
205
8.3.1
Turbid-medium models
206
8.3.2
Geometrical-optical models
207
8.3.3
Monte-Carlo ray-tracing and radiosity models
208
8.3.4
Kernel-driven and empirical models
210
8.3.5
Treatment of heterogeneous canopies
210
8.3.6
Spectral invariants
211
8.4
Canopy generators
211
8.4.1
POV-Ray
212
8.4.2
L-systems
212
8.4.3
Y-plant
213
8.5
Model inversion
213
8.5.7
Principles
213
8.5.2
Direct or numerical inversion
215
8.5.3
Look-up tables (LUTs)
215
8.5.4
Machine intelligence
216
8.5.5
Further aspects of inversion
216
8.5.6
Radiative model comparisons
217
xiv
Table
of
contents
8.6
In-field
estimation
of canopy biophysical parameters
219
8.6.1
Direct measurement
219
8.6.2
Within-canopy indirect methods
219
8.6.3
Above-canopy indirect methods
222
■
Further reading
225
©
Websites
225
θ
Sample problems
225
9
Remote sensing of canopy mass and heat exchanges
226
9.1
Remote estimation of energy-balance components
and mass fluxes
226
9.2
Radiation fluxes and surface temperature
227
9.2.1
Shortwave radiation
227
9.2.2
Longwave radiation and surface-temperature estimation
228
9.2.3
Net radiation
229
9.3
Soil heat flux
230
9.4
Sensible heat flux
230
9.4.1
Empirical approaches
231
9.4.2 Endpoints
with known flux conditions
231
9.5
Evaporation
231
9.5.1
Estimation as the residual term in the energy balance
232
9.5.2
Estimation from net radiation
233
9.5.3
Estimation from the relationship between surface
temperature and evaporation
234
9.5.4
Data assimilation and the use of
SVAT
models
236
3.5.5
Conversion from instantaneous to 24-h and seasonal values
237
9.5.6
Conclusions on estimation of
Ł
237
9.6
Thermal sensing for the detection of water-deficit
stress and
stomatal
closure
238
9.7
C02 fluxes and primary production
241
9.7.1
Photosynthesis estimation from radiation interception
242
9.7.2
Photosynthesis estimation from xanthophyll epoxidation
244
9.7.3
Photosynthesis estimation from chlorophyll fluorescence
244
9.8
Conclusion
248
■
Further reading
248
©
Websites
248
θ
Sample problems
248
10
Sampling, error, and scaling
249
10.1
Introduction
249
10.2
Basic sampling theory
250
10.2.1
Data description and variation
250
Table
of contents
xv
10.2.2
Tests and power
251
10.2.3
Propagation of error
253
10.3
Field measurements and collection of other reference data
253
/0.17
Sampling
254
10.3.2
Choice of sample units and sampling strategy
256
10.3.3
Sampling for reference or training data
257
10.4
Scaling considerations
259
70.4 7
Up-scaling (aggregation)
260
10.4.2
Down-scaling (disaggregation)
260
10.4.3
Problems of non-linearity
260
10.5
Calibration and validation
263
10.6
Uncertainty in spatial data classification accuracy
266
10.6.1
The error matrix
266
10.6.2
Fuzzy classification and assessment
269
10.6.3
Sources of error in reference data
269
Ш
Further reading
269
©
Websites
270
Q
Sample problems
270
11
Integrated applications
271
11.1
Introduction
271
n.2
Detection and diagnosis of plant stress
271
77.2 7
Spectral reflectance imaging and use of spectral vegetation indices
273
71.2.2
Thermal sensing of water-deficit stress
275
11.2.3
Fluorescence and fluorescence imaging
276
11.2.4
Multiangular sensing,
3D
imaging, and
Lidar
279
11.2.5
Multisensor imaging for diagnosis
279
11.3
Precision agriculture and crop management
282
77.5.7
Cropping inventories
284
11.3.2
Yield estimation/prediction
286
11.3.3
Water management
287
11.3.4
Nutrient management, pests, and diseases
288
11.3.5
Practical considerations
290
11.4
Ecosystems management
291
77.4.7 Landcover
classification and mapping
291
11.4.2
Landscape ecology
292
11.4.3
Biodiversity estimation
293
11.4.4
Other ecological applications
296
11.5
Forestry
297
77.5.7
Mapping, monitoring, and management
298
11.5.2
Canopy height, biomass, and
3D
sensing
299
11.5.3
Practical considerations
302
xvi
Table
of contents
11.6
Wildfires and biomass burning
303
11.6.1
Prediction
303
/7.6.2
Monitoring
304
11.6.3
Burnt-area mapping
305
11.6.4
Regeneration monitoring
305
11.6.5
Practical considerations
306
©
Websites
306
References
307
Appendices
1
Sundry useful conversions, constants, and properties
332
Units and conversions
332
Conversions between units
333
Conversions between molar and conventional units
333
Physical constants
334
Saturation vapour pressure of water vapour
334
Properties of air
334
Table of molecular masses
334
Diffusivities in air (at
20 °С) 334
Other useful data
334
2
Chronology of earth observation
335
3
Current data suitable for vegetation
monitoring
336
Optical and thermal
337
Synthetic Aperture Radar
(SAR)
340
Airborne scanners
341
Answers to sample problems
343
Index
347
|
| any_adam_object | 1 |
| author | Jones, Hamlyn G. Vaughan, Robin A. 1940- |
| author_GND | (DE-588)1144977274 |
| author_facet | Jones, Hamlyn G. Vaughan, Robin A. 1940- |
| author_role | aut aut |
| author_sort | Jones, Hamlyn G. |
| author_variant | h g j hg hgj r a v ra rav |
| building | Verbundindex |
| bvnumber | BV035988224 |
| classification_rvk | RB 10232 |
| classification_tum | GEO 007 BIO 355 |
| ctrlnum | (OCoLC)500822994 (DE-599)BVBBV035988224 |
| dewey-full | 580.28 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 580 - Plants |
| dewey-raw | 580.28 |
| dewey-search | 580.28 |
| dewey-sort | 3580.28 |
| dewey-tens | 580 - Plants |
| discipline | Geowissenschaften Biologie Geographie |
| edition | 1. publ. |
| format | Book |
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| id | DE-604.BV035988224 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T22:09:05Z |
| institution | BVB |
| isbn | 9780199207794 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-018881001 |
| oclc_num | 500822994 |
| open_access_boolean | |
| owner | DE-703 DE-634 DE-19 DE-BY-UBM DE-83 DE-1028 DE-20 DE-29 DE-188 DE-824 DE-M49 DE-BY-TUM |
| owner_facet | DE-703 DE-634 DE-19 DE-BY-UBM DE-83 DE-1028 DE-20 DE-29 DE-188 DE-824 DE-M49 DE-BY-TUM |
| physical | XXVI, 353 Seiten, [6] Blätter Ill., graph. Darst., Kt. |
| publishDate | 2010 |
| publishDateSearch | 2010 |
| publishDateSort | 2010 |
| publisher | Oxford Univ. Press |
| record_format | marc |
| spelling | Jones, Hamlyn G. Verfasser aut Remote sensing of vegetation principles, techniques, and applications Hamlyn G. Jones ; Robin A. Vaughan 1. publ. Oxford [u.a.] Oxford Univ. Press 2010 XXVI, 353 Seiten, [6] Blätter Ill., graph. Darst., Kt. txt rdacontent n rdamedia nc rdacarrier Ecosystem management Remote sensing Plants Remote sensing Vegetation and climate Remote sensing Pflanzenökologie (DE-588)4045575-0 gnd rswk-swf Fernerkundung (DE-588)4016796-3 gnd rswk-swf Ökosystem (DE-588)4043216-6 gnd rswk-swf Pflanzenökologie (DE-588)4045575-0 s DE-604 Ökosystem (DE-588)4043216-6 s Fernerkundung (DE-588)4016796-3 s Vaughan, Robin A. 1940- Verfasser (DE-588)1144977274 aut Digitalisierung UB Bayreuth application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018881001&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Jones, Hamlyn G. Vaughan, Robin A. 1940- Remote sensing of vegetation principles, techniques, and applications Ecosystem management Remote sensing Plants Remote sensing Vegetation and climate Remote sensing Pflanzenökologie (DE-588)4045575-0 gnd Fernerkundung (DE-588)4016796-3 gnd Ökosystem (DE-588)4043216-6 gnd |
| subject_GND | (DE-588)4045575-0 (DE-588)4016796-3 (DE-588)4043216-6 |
| title | Remote sensing of vegetation principles, techniques, and applications |
| title_auth | Remote sensing of vegetation principles, techniques, and applications |
| title_exact_search | Remote sensing of vegetation principles, techniques, and applications |
| title_full | Remote sensing of vegetation principles, techniques, and applications Hamlyn G. Jones ; Robin A. Vaughan |
| title_fullStr | Remote sensing of vegetation principles, techniques, and applications Hamlyn G. Jones ; Robin A. Vaughan |
| title_full_unstemmed | Remote sensing of vegetation principles, techniques, and applications Hamlyn G. Jones ; Robin A. Vaughan |
| title_short | Remote sensing of vegetation |
| title_sort | remote sensing of vegetation principles techniques and applications |
| title_sub | principles, techniques, and applications |
| topic | Ecosystem management Remote sensing Plants Remote sensing Vegetation and climate Remote sensing Pflanzenökologie (DE-588)4045575-0 gnd Fernerkundung (DE-588)4016796-3 gnd Ökosystem (DE-588)4043216-6 gnd |
| topic_facet | Ecosystem management Remote sensing Plants Remote sensing Vegetation and climate Remote sensing Pflanzenökologie Fernerkundung Ökosystem |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018881001&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT joneshamlyng remotesensingofvegetationprinciplestechniquesandapplications AT vaughanrobina remotesensingofvegetationprinciplestechniquesandapplications |