Practical handbook of remote sensing
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| Hauptverfasser: | , |
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| Format: | Buch |
| Sprache: | English |
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Boca Raton ; London ; New York
CRC Press
[2016]
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| Schriftenreihe: | Environmental science
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| Online-Zugang: | Inhaltsverzeichnis |
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| 008 | 151109s2016 xx a||| |||| 00||| eng d | ||
| 020 | |a 9781498704335 |c (pbk.) |9 978-1-4987-0433-5 | ||
| 020 | |a 1498704336 |9 1-4987-0433-6 | ||
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| 100 | 1 | |a Lavender, Samantha |e Verfasser |0 (DE-588)1079666206 |4 aut | |
| 245 | 1 | 0 | |a Practical handbook of remote sensing |c Samantha Lavender, PhD, Andrew Lavender |
| 264 | 1 | |a Boca Raton ; London ; New York |b CRC Press |c [2016] | |
| 264 | 4 | |c © 2016 | |
| 300 | |a xxxii, 212 Seiten |b Illustrationen, Diagramme, Karten | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Environmental science | |
| 650 | 4 | |a Remote sensing / Handbooks, manuals, etc | |
| 650 | 7 | |a Remote sensing |2 fast | |
| 650 | 0 | 7 | |a Geoinformationssystem |0 (DE-588)4261642-6 |2 gnd |9 rswk-swf |
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| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Lavender, Andrew |e Verfasser |0 (DE-588)1079666281 |4 aut | |
| 856 | 4 | 2 | |m Digitalisierung UB Bamberg - ADAM Catalogue Enrichment |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028411771&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
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Datensatz im Suchindex
| DE-473_call_number | 51/RB 10232 HG 38365 |
|---|---|
| DE-473_location | 5 |
| DE-BY-TUM_call_number | 0002 BAU 967f 2016 A 716 1002 GEO 007f 2018 A 3475 1302 GEO 007f 2018 A 3512 |
| DE-BY-TUM_katkey | 2159291 |
| DE-BY-TUM_location | 00 10 13 |
| DE-BY-TUM_media_number | 040008095381 040008095370 040008618873 040008618964 |
| DE-BY-UBG_katkey | 195969613 |
| DE-BY-UBG_media_number | 013907993472 |
| _version_ | 1824053135764619265 |
| adam_text | Contents
List of Figures...............................................xiii
List of Tables.................................................xix
Preface........................................................xxi
Acknowledgments..............................................xxiii
Authors........................................................xxv
List of Symbols..............................................xxvii
List of Acronyms and Abbreviations............................xxix
1, What Is Remote Sensing?......................................1
1.1 Definition of Remote Sensing............................1
1.2 History of Remote Sensing...............................2
1.3 Principles of Remote Sensing............................3
1.4 Usefulness of Remote Sensing............................4
1.5 Challenges of Remote Sensing............................5
1.6 Summary and Scope of the Book...........................6
1.7 Key Terms...............................................7
References...................................................7
2. How Does Remote Sensing Work?................................9
2.1 Principles of Satellite Remote Sensing..................9
2.2 What the Sensor Measures in Remote Sensing.............11
2.3 EM Spectrum............................................13
2.4 How Do Sensors Take Measurements?......................15
2.5 Spatial, Spectral, and Temporal Resolutions............15
2.5.1 Spatial Resolution of Data.......................15
2.5.2 Spectral Resolution of Data......................17
2.5.3 Temporal Resolution of Data......................19
2.5.4 Resolution Compromises...........................19
2.6 Summary.............................................. 20
2.7 Key Terms.............................*...............20
References..................................................20
3* Data Available from Remote Sensing..........................21
3.1 Optical Data...........................................21
3.1.1 Passive: Visible and Infrared....................21
3.1.2 Active: Lidar....................................22
3.2 Microwave Data.........................................23
3.2.1 Passive: Radiometer..............................23
3.2.2 Active: Scatterometer............................23
v
Contents vil
6.2 Installing the SNAP....................................60
6.3 Introduction to the SNAP...............................61
6.4 The Geometry of Landsat Level 1 Data...................62
6.5 Landsat Level 1 GeoTIFF Files..........................63
6.6 Downloading the Level 1 GeoTIFF Data...................65
6.7 Importing Landsat Level 1 Data into SNAP...............67
6.8 Practical Image Processing: Creating Simple Color
Composites.............................................67
6.9 Practical Image Processing: Creating a Subset..........70
6.10 Practical Image Processing: Contrast Enhancement
through Histogram Stretching...........................71
6.11 Practical Image Processing: Color Palettes.............72
6.12 Practical Image Processing: Applying a Filter..........74
6.13 Practical Image Processing: Applying the NDVI Algorithm.... 75
6.14 Summary................................................77
6.15 Online Resources.........................................77
6.16 Key Terms..............................................78
7. Geographic Information System and an Introduction to QGIS.... 79
7.1 Introduction to GIS....................................79
7.2 GIS Software Packages..................................82
7.3 Installing QGIS........................................82
7.4 Introduction to QGIS...................................83
7.5 Importing Remote Sensing Data into QGIS................84
7.6 GIS Data Handling Technique: Contrast Enhancement/
Histogram Stretch......................................85
7.7 GIS Data Handling Technique: Combining Images..........87
7.8 GIS Data Handling Techniques: Adding Cartographic
Layers.................................................89
7.9 CRS Adjustments within QGIS............................91
7.10 Saving Images and Projects in QGIS.....................92
7.11 Summary................................................92
7.12 Online Resources.......................................93
7.13 Key Terms..............................................93
References..................................................94
8. Urban Environments and Their Signatures...................95
8.1 Introduction to Application Chapters of the Book.......95
8.2 Urban Environments.....................................95
8.3 Introduction to the Optical Signatures of Urban Surfaces.96
8.4 Introduction to the Thermal Signatures of Urban Surfaces .... 99
8.5 Urban Applications....................................100
8.5.1 Green Spaces and Urban Creep...................100
8.5.2 Temperature Dynamics...........................102
Contents vil
6.2 Installing the SNAP....................................60
6.3 Introduction to the SNAP...............................61
6.4 The Geometry of Landsat Level 1 Data...................62
6.5 Landsat Level 1 GeoTIFF Files..........................63
6.6 Downloading the Level 1 GeoTIFF Data...................65
6.7 Importing Landsat Level 1 Data into SNAP...............67
6.8 Practical Image Processing: Creating Simple Color
Composites.............................................67
6.9 Practical Image Processing: Creating a Subset..........70
6.10 Practical Image Processing: Contrast Enhancement
through Histogram Stretching...........................71
6.11 Practical Image Processing: Color Palettes.............72
6.12 Practical Image Processing: Applying a Filter..........74
6.13 Practical Image Processing: Applying the NDVI Algorithm.... 75
6.14 Summary................................................77
6.15 Online Resources.......................................77
6.16 Key Terms..............................................78
7. Geographic Information System and an Introduction to QGIS.... 79
7.1 Introduction to GIS....................................79
7.2 GIS Software Packages..................................82
7.3 Installing QGIS........................................82
7.4 Introduction to QGIS...................................83
7.5 Importing Remote Sensing Data into QGIS................84
7.6 GIS Data Handling Technique: Contrast Enhancement/
Histogram Stretch......................................85
7.7 GIS Data Handling Technique: Combining Images..........87
7.8 GIS Data Handling Techniques: Adding Cartographic
Layers.................................................89
7.9 CRS Adjustments within QGIS............................91
7.10 Saving Images and Projects in QGIS.....................92
7.11 Summary................................................92
7.12 Online Resources.......................................93
7.13 Key Terms..............................................93
References..................................................94
8. Urban Environments and Their Signatures.....................95
8.1 Introduction to Application Chapters of the Book.......95
8.2 Urban Environments.....................................95
8.3 Introduction to the Optical Signatures of Urban Surfaces.96
8.4 Introduction to the Thermal Signatures of Urban Surfaces .... 99
8.5 Urban Applications....................................100
8.5.1 Green Spaces and Urban Creep...................100
8.5.2 Temperature Dynamics...........................102
Contents
vm
8.5.3 Nighttime Imagery..................................M3
8.5.4 Air Quality........................................M5
8.5.5 Subsidence.........................................M6
8.6 Practical Exercise: Spectral and Thermal Signatures..108
8.6.1 Step One: Downloading, Importing,
and Processing Landsat Optical Data
to Determine Green Spaces.........................108
8.6.2 Step Two: Downloading and Importing MODIS
Data to QGIS......................................110
8.6.3 Step Three: Combining MODIS Thermal Data
with Optical Data from Landsat....................Ill
8.6.4 Step Four: Comparing Thermal Data from Landsat
and MODIS.........................................111
8.6.5 Step Five: Example of ASTER Data..................112
8.7 Summary...................................................H3
8.8 Online Resources..........................................H3
8.9 Key Terms..................................................№
References................................................H4
9. Landscape Evolution.......................................117
9.1 Principles of Using Time-Series Analysis for Monitoring
Landscape Evolution......................................117
9.2 Landscape Evolution Techniques...........................119
9.3 Optical Vegetation Indices for Landscape Evolution.......120
9.4 Microwave Data for Landscape Evolution...................121
9.5 Landscape Evolution Applications.........................122
9.5.1 Mapping Land Cover................................122
9.5.2 Agriculture..................................... 124
9.5.3 Forestry and Carbon Storage.......................125
9.5.4 Fire Detection....................................127
9.6 Practical Exercise: Supervised Land Cover Classification.128
9.6.1 First Stage: Creating the Data Set Ready for Land
Classification....................................128
9.6.1.1 Step One: Installing Semi-Automatic
Classification Plugin......................128
9.6.1.2 Step Two: Importing and Preprocessing
the Data...................................129
9.6.1.3 Step Three: Creating a False Color
Composite................................
9.6.1.4 Step Four: Choosing Classification
Wavebands................................. 132
9.6.2 Second Stage: Performing a Supervised Land
Classification Using Existing Training Sites 132
9.6.2.1 Step Five: Importing Spectral Signatures 1132
Contents ix
9.6.2.2 Step Six: Importing ROI Shapefiles......134
9.6.2.3 Step Seven: Classification Algorithm
and Preview.............................134
9.6.2.4 Step Eight: Whole Scene Classification..135
9.6.3 Third Stage: Performing a Supervised Land
Classification with Your Own Training Sites.....136
9.6.3.1 Step Nine: Creating a Pseudo-True Color
Composite...............................136
9.6.3.2 Step Ten: Identifying and Selecting Your
Own Training Sites......................137
9.6.3.3 Step Eleven: Classification Algorithm
and Preview.............................139
9.6.3.4 Step Twelve: Whole Scene Classification.140
9.7 Summary................................................140
9.8 Online Resources.......................................141
9.9 Key Terms..............................................141
References..................................................142
10. Inland Waters and the Water Cycle..........................143
10.1 Optical and Thermal Data for Inland Waters.............143
10.2 Microwave Data for Monitoring the Water Cycle..........146
10.2.1 Altimetry.......................................146
10.2.2 Passive Radiometry..............................147
10.3 Inland Water Applications..............................148
10.3.1 Water Cycle and Wetlands........................148
10.3.2 Soil Moisture Monitoring........................149
10.3.3 Lakes, Rivers, and Reservoirs...................150
10.3.4 Flood Mapping...................................152
10.3.5 Groundwater Measurement.........................152
10.4 Practical Exercise: Analysis of the Aswan Dam..........154
10.4.1 Step One: Obtaining the SAR Data................155
10.4.2 Step Two: Loading the SAR Data into QGIS........155
10.4.3 Step Three: Downloading the Landsat Data
from EarthExplorer..............................155
10.4.4 Step Four: Importing Landsat Data into QGIS.....158
10.4.5 Step Five: Creating an NDWI Using
a Mathematical Function.........................158
10.4.6 Step Six: Creating a Pseudo-True Color Composite... 159
10.4.7 Step Seven: Downloading the SRTM DEM Data.......160
10.4.8 Step Eight: Loading the SRTM DEM Data into QGIS.... 161
10.4.9 Step Nine: Merging the Four SRTM DEM Tiles
into a Single Layer.............................161
10.4.10 Step Ten: Adding Contour Lines.................162
10.5 Summary................................................163
Contents
X
10.6 Online Resources.......................................
10.7 Key Terms..............................................^
References..................................................
11. Coastal Waters and Coastline Evolution 167
11.1 Optical Data.........................................¡¡1
11.1.1 The Color of the Water........................167
11.1.2 Bathymetric Data................................
11.2 Passive Microwave Signatures from the Ocean............172
11.3 Coastal Applications.................................173
11.3.1 Physical Oceanography That Includes
Temperature, Salinity, and Sea Ice..............№
11.3.2 Water Quality, Including Algal Blooms.........175
11.3.3 Mangroves and Coastal Protection..............176
11.3.4 Coastal Evolution, Including Sediment Transport.178
11.4 Practical Exercise—New York Bight....................180
11.4.1 Stage One: Importing and Processing MODIS L2
Data..........................................180
11.4.1.1 Step One: Downloading MODIS L2 Data.... 180
11.4.1.2 Step Two: Importing the MODIS SST
Data into SNAP........................183
11.4.1.3 Step Three: Processing the MODIS-Aqua
SST Data..............................183
11.4.1.4 Step Four: Importing and Processing
the MODIS OC Data in SNAP...............184
11.4.1.5 Step Five: Save the Products.........186
11.4.2 Stage Two: Comparison of MODIS L2
and Landsat Data................................186
11.4.2.1 Step Six: Restarting SNAP and Importing
Landsat Data..........................186
11.4.2.2 Step Seven: Importing the Previous OC
Product...............................187
11.4.2.3 Step Eight: Reprojection of the OC Image... 187
11.4.3 Stage Three: MODIS L3 Data....................189
11.4.3.1 Step Ten: Downloading MODIS L3 Data....189
11.5 Summary.................................................
11.6 Online Resources........................................
11.7 Key Terms........................................... 191
References.................................... 191
12. Where to Next?.............................
12.1 Developments in Satellite Hardware...................193
12.1.1 Instruments.................. ..................
12.1.2 Satellite Developments....................... 194
Contents xi
12.2 Developments in Data Processing....................195
12.2.1 Accessing Online Data Sets..................195
12.2.2 Cloud Processing............................196
12.2.3 Integration.................................196
12.2.4 Object-Based Image Analysis.................197
12.2.5 Open Source Software........................197
12.3 Developments in Applications.......................198
12.3.1 Citizen Science.............................198
12.3.2 Climate Quality Data Sets...................198
12.3.3 Repurposing.................................199
12.4 Long-Term Developments for Remote Sensing..........199
12.5 Developing Your Knowledge Further..................200
12.5.1 Examples of Further Reading.................201
12.6 Summary............................................201
12.7 Online Resources...................................202
References..............................................202
Index.......................................................205
|
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| dewey-full | 621.36/78 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics |
| dewey-raw | 621.36/78 |
| dewey-search | 621.36/78 |
| dewey-sort | 3621.36 278 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Bauingenieurwesen Elektrotechnik / Elektronik / Nachrichtentechnik Geographie Verkehr / Transport |
| format | Book |
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| id | DE-604.BV042986489 |
| illustrated | Illustrated |
| indexdate | 2025-02-14T18:03:32Z |
| institution | BVB |
| isbn | 9781498704335 1498704336 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028411771 |
| oclc_num | 934665461 |
| open_access_boolean | |
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| physical | xxxii, 212 Seiten Illustrationen, Diagramme, Karten |
| publishDate | 2016 |
| publishDateSearch | 2016 |
| publishDateSort | 2016 |
| publisher | CRC Press |
| record_format | marc |
| series2 | Environmental science |
| spellingShingle | Lavender, Samantha Lavender, Andrew Practical handbook of remote sensing Remote sensing / Handbooks, manuals, etc Remote sensing fast Geoinformationssystem (DE-588)4261642-6 gnd Fernerkundung (DE-588)4016796-3 gnd |
| subject_GND | (DE-588)4261642-6 (DE-588)4016796-3 |
| title | Practical handbook of remote sensing |
| title_auth | Practical handbook of remote sensing |
| title_exact_search | Practical handbook of remote sensing |
| title_full | Practical handbook of remote sensing Samantha Lavender, PhD, Andrew Lavender |
| title_fullStr | Practical handbook of remote sensing Samantha Lavender, PhD, Andrew Lavender |
| title_full_unstemmed | Practical handbook of remote sensing Samantha Lavender, PhD, Andrew Lavender |
| title_short | Practical handbook of remote sensing |
| title_sort | practical handbook of remote sensing |
| topic | Remote sensing / Handbooks, manuals, etc Remote sensing fast Geoinformationssystem (DE-588)4261642-6 gnd Fernerkundung (DE-588)4016796-3 gnd |
| topic_facet | Remote sensing / Handbooks, manuals, etc Remote sensing Geoinformationssystem Fernerkundung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028411771&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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