Franklin

a| 2015018961

a| 9781498704335 q| (alkaline paper)

a| 1498704336 q| (alkaline paper)

a| 99965603124

a| (OCoLC)ocn932261922

a| (PUVoyagerBIBID)6839386

a| (OCoLC)932261922

a| (PU)6839386-penndb-Voyager

a| DLC b| eng e| rda c| STF d| YDXCP

a| pcc

a| PAUU

a| G70.4 b| .L38 2016

a| 621.36/78 2| 23

a| Lavender, Samantha, e| author. 0| http://id.loc.gov/authorities/names/n2015040164

a| Practical handbook of remote sensing / c| Samantha Lavender, PhD, Andrew Lavender.

a| Boca Raton : b| CRC Press, Taylor & Francis Group, c| [2016]

c| ©2016

a| xxxii, 212 pages, 24 unnumbered pages of plates : b| illustrations (some color), maps (some color) ; c| 23 cm

a| text b| txt 2| rdacontent

a| unmediated b| n 2| rdamedia

a| volume b| nc 2| rdacarrier

a| Includes bibliographical references and index.

g| 1 t| What Is Remote Sensing? g| 1 -- g| 1.1 t| Definition of Remote Sensing g| 1 -- g| 1.2 t| History of Remote Sensing g| 2 -- g| 1.3 t| Principles of Remote Sensing g| 3 -- g| 1.4 t| Usefulness of Remote Sensing g| 4 -- g| 1.5 t| Challenges of Remote Sensing g| 5 -- g| 1.6 t| Summary and Scope of the Book g| 6 -- g| 1.7 t| Key Terms g| 7 -- t| References g| 7 -- g| 2 t| How Does Remote Sensing Work? g| 9 -- g| 2.1 t| Principles of Satellite Remote Sensing g| 9 -- g| 2.2 t| What the Sensor Measures in Remote Sensing g| 11 -- g| 2.3 t| EM Spectrum g| 13 -- g| 2.4 t| How Do Sensors Take Measurements? g| 15 -- g| 2.5 t| Spatial, Spectral, and Temporal Resolutions g| 15 -- g| 2.5.1 t| Spatial Resolution of Data g| 15 -- g| 2.5.2 t| Spectral Resolution of Data g| 17 -- g| 2.5.3 t| Temporal Resolution of Data g| 19 -- g| 2.5.4 t| Resolution Compromises g| 19 -- g| 2.6 t| Summary g| 20 -- g| 2.7 t| Key Terms g| 20 -- t| References g| 20 -- g| 3 t| Data Available from Remote Sensing g| 21 -- g| 3.1 t| Optical Data g| 21 -- g| 3.1.1 t| Passive: Visible and Infrared g| 21 -- g| 3.1.2 t| Active: Lidar g| 22 -- g| 3.2 t| Microwave Data g| 23 -- g| 3.2.1 t| Passive: Radiometer g| 23 -- g| 3.2.2 t| Active: Scatterometer g| 23 -- g| 3.2.3 t| Active: Altimeter g| 23 -- g| 3.2.4 t| Active: Synthetic Aperture Radar g| 24 -- g| 3.3 t| Distinction between Freely Available Data and Commercial Data g| 25 -- g| 3.4 t| Where to Find Data g| 27 -- g| 3.5 t| Picking the Right Type of Data for a Particular Application g| 28 -- g| 3.6 t| Summary g| 29 -- g| 3.7 t| Key Terms g| 29 -- g| 4 t| Basic Remote Sensing Using Landsat Data g| 31 -- g| 4.1 t| Notation Used for Practical Exercises within the Book g| 31 -- g| 4.2 t| History of Landsat g| 32 -- g| 4.3 t| Summary of the Landsat Missions g| 32 -- g| 4.4 t| Different Level? of Data Available g| 34 -- g| 4.5 t| Accessing the Level 1 Landsat Data g| 35 -- g| 4.6 t| Selecting the Level 1 Landsat Data to Download g| 35 -- g| 4.7 t| Worldwide Reference System g| 38 -- g| 4.8 t| Downloading the Level 1 Landsat Data g| 39 -- g| 4.9 t| Basic Viewing and Using the Landsat Data g| 40 -- g| 4.10 t| Landsat Calibration and Anomalies g| 40 -- g| 4.10.1 t| Scan Line Corrector within Landsat 7 ETM+ g| 41 -- g| 4.10.2 t| Bright Pixels g| 41 -- g| 4.10.3 t| Cloud Cover Percentage g| 42 -- g| 4.11 t| Practical Exercise: Finding, Downloading, and Viewing Landsat Data g| 42 -- g| 4.12 t| Summary g| 44 -- g| 4.13 t| Online Resources g| 44 -- g| 4.14 t| Key Terms g| 45 -- t| References g| 45 -- g| 5 t| Introduction to Image Processing g| 47 -- g| 5.1 t| What Is an Image and How Are They Acquired? g| 47 -- g| 5.2 t| Image Properties g| 49 -- g| 5.3 t| Why Are Remotely Sensed Images Often Large in Size? g| 51 -- g| 5.4 t| Image Processing Technique: Contrast Manipulation/ Histogram Stretching g| 52 -- g| 5.5 t| Image Processing Technique: Filtering Pixels g| 54 -- g| 5.6 t| Image Processing Technique: Applying Algorithms and Color Palettes g| 56 -- g| 5.7 t| Summary g| 57 -- g| 5.8 t| Key Terms g| 57 -- g| 6 t| Practical Image Processing g| 59 -- g| 6.1 t| Image Processing Software g| 59 -- g| 6.2 t| Installing the SNAP g| 60 -- g| 6.3 t| Introduction to the SNAP g| 61 -- g| 6.4 t| The Geometry of Landsat Level 1 Data g| 62 -- g| 6.5 t| Landsat Level 1 GeoTIFF Files g| 63 -- g| 6.6 t| Downloading the Level 1 GeoTIFF Data g| 65 -- g| 6.7 t| Importing Landsat Level 1 Data into SNAP g| 67 -- g| 6.8 t| Practical Image Processing: Creating Simple Color Composites g| 67 -- g| 6.9 t| Practical Image Processing: Creating a Subset g| 70 -- g| 6.10 t| Practical Image Processing: Contrast Enhancement through Histogram Stretching g| 71 -- g| 6.11 t| Practical Image Processing: Color Palettes g| 72 -- g| 6.12 t| Practical Image Processing: Applying a Filter g| 74 -- g| 6.13 t| Practical Image Processing: Applying the NDVI Algorithm g| 75 -- g| 6.14 t| Summary g| 77 -- g| 6.15 t| Online Resources g| 77 -- g| 6.16 t| Key Terms g| 78 -- g| 7 t| Geographic Information System and an Introduction to QGIS g| 79 -- g| 7.1 t| Introduction to GIS g| 79 -- g| 7.2 t| GIS Software Packages g| 82 -- g| 7.3 t| Installing QGIS g| 82 -- g| 7.4 t| Introduction to QGIS g| 83 -- g| 7.5 t| Importing Remote Sensing Data into QGIS g| 84 -- g| 7.6 t| GIS Data Handling Technique: Contrast Enhancement/Histogram Stretch g| 85 -- g| 7.7 t| GIS Data Handling Technique: Combining Images g| 87 -- g| 7.8 t| GIS Data Handling Techniques: Adding Cartographic Layers g| 89 -- g| 7.9 t| CRS Adjustments within QGIS g| 91 -- g| 7.10 t| Saving Images and Projects in QGIS g| 92 -- g| 7.11 t| Summary g| 92 -- g| 7.12 t| Online Resources g| 93 -- g| 7.13 t| Key Terms g| 93 -- t| References g| 94 -- g| 8 t| Urban Environments and Their Signatures g| 95 -- g| 8.1 t| Introduction to Application Chapters of the Book g| 95 -- g| 8.2 t| Urban Environments g| 95 -- g| 8.3 t| Introduction to the Optical Signatures of Urban Surfaces g| 96 -- g| 8.4 t| Introduction to the Thermal Signatures of Urban Surfaces g| 99 -- g| 8.5 t| Urban Applications g| 100 -- g| 8.5.1 t| Green Spaces and Urban Creep g| 100 -- g| 8.5.2 t| Temperature Dynamics g| 102 -- g| 8.5.3 t| Nighttime Imagery g| 103 -- g| 8.5.4 t| Air Quality g| 105 -- g| 8.5.5 t| Subsidence g| 106 -- g| 8.6 t| Practical Exercise: Spectral and Thermal Signatures g| 108 -- g| 8.6.1 t| Step One: Downloading, Importing, and Processing Landsat Optical Data to Determine Green Spaces g| 108 -- g| 8.6.2 t| Step Two: Downloading and Importing MODIS Data to QGIS g| 110 -- g| 8.6.3 t| Step Three: Combining MODIS Thermal Data with Optical Data from Landsat g| 111 -- g| 8.6.4 t| Step Pour: Comparing Thermal Data from Landsat and MODIS g| 111 -- g| 8.6.5 t| Step Five: Example of ASTER Data g| 112 -- g| 8.7 t| Summary g| 113 -- g| 8.8 t| Online Resources g| 113 -- g| 8.9 t| Key Terms g| 113 -- t| References g| 114 -- g| 9 t| Landscape Evolution g| 117 -- g| 9.1 t| Principles of Using Time-Series Analysis for Monitoring Landscape Evolution g| 117 -- g| 9.2 t| Landscape Evolution Techniques g| 119 -- g| 9.3 t| Optical Vegetation Indices for Landscape Evolution g| 120 -- g| 9.4 t| Microwave Data for Landscape Evolution g| 121 -- g| 9.5 t| Landscape Evolution Applications g| 122 -- g| 9.5.1 t| Mapping Land Cover g| 122 -- g| 9.5.2 t| Agriculture g| 124 -- g| 9.5.3 t| Forestry and Carbon Storage g| 125 -- g| 9.5.4 t| Fire Detection g| 127 -- g| 9.6 t| Practical Exercise: Supervised Land Cover Classification g| 128 -- g| 9.6.1 t| First Stage: Creating the Data Set Ready for Land Classification g| 128 -- g| 9.6.1.1 t| Step One: Installing Semi-Automatic Classification Plugin g| 128 -- g| 9.6.1.2 t| Step Two: Importing and Preprocessing the Data g| 129 -- g| 9.6.1.3 t| Step Three: Creating a False Color Composite g| 130 -- g| 9.6.1.4 t| Step Four: Choosing Classification Wavebands g| 132 -- g| 9.6.2 t| Second Stage: Performing a Supervised Land Classification Using Existing Training Sites g| 132 -- g| 9.6.2.1 t| Step Five: Importing Spectral Signatures g| 132 -- g| 9.6.2.2 t| Step Six: Importing ROI Shapefiles g| 134 -- g| 9.6.2.3 t| Step Seven: Classification Algorithm and Preview g| 134 -- g| 9.6.2.4 t| Step Eight: Whole Scene Classification g| 135 -- g| 9.6.3 t| Third Stage: Performing a Supervised Land Classification with Your Own Training Sites g| 136 -- g| 9.6.3.1 t| Step Nine: Creating a Pseudo-True Color Composite g| 136 -- g| 9.6.3.2 t| Step Ten: Identifying and Selecting Your Own Training Sites g| 137 -- g| 9.6.3.3 t| Step Eleven: Classification Algorithm and Preview g| 139 -- g| 9.6.3.4 t| Step Twelve: Whole Scene Classification g| 140 -- g| 9.7 t| Summary g| 140 -- g| 9.8 t| Online Resources g| 141 -- g| 9.9 t| Key Terms g| 141 -- t| References g| 142 -- g| 10 t| Inland Waters and the Water Cycle g| 143 -- g| 10.1 t| Optical and Thermal Data for Inland Waters g| 143 -- g| 10.2 t| Microwave Data for Monitoring the Water Cycle g| 146 -- g| 10.2.1 t| Altimetry g| 146 -- g| 10.2.2 t| Passive Radiometry g| 147 -- g| 10.3 t| Inland Water Applications g| 148 -- g| 10.3.1 t| Water Cycle and Wetlands g| 148 -- g| 10.3.2 t| Soil Moisture Monitoring g| 149 -- g| 10.3.3 t| Lakes, Rivers, and Reservoirs g| 150 -- g| 10.3.4 t| Flood Mapping g| 152 -- g| 10.3.5 t| Groundwater Measurement g| 152 -- g| 10.4 t| Practical Exercise: Analysis of the Aswan Dam g| 154 -- g| 10.4.1 t| Step One: Obtaining the SAR Data g| 155 -- g| 10.4.2 t| Step Two: Loading the SAR Data into QGIS g| 155 -- g| 10.4.3 t| Step Three: Downloading the Landsat Data from Earth Explorer g| 155 -- g| 10.4.4 t| Step Four: Importing Landsat Data into QGIS g| 158 -- g| 10.4.5 t| Step Five: Creating an NDWI Using a Mathematical Function g| 158 -- g| 10.4.6 t| Step Six: Creating a Pseudo-True Color Composite g| 159 -- g| 10.4.7 t| Step Seven: Downloading the SRTM DEM Data g| 160 -- g| 10.4.8 t| Step Eight Loading the SRTM DEM Data into QGIS g| 161 -- g| 10.4.9 t| Step Nine: Merging the Four SRTM DEM Tiles into a Single Layer g| 161 -- g| 10.4.10 t| Step Ten: Adding Contour Lines g| 162 -- g| 10.5 t| Summary g| 163 -- g| 10.6 t| Online Resources g| 163 -- g| 10.7 t| Key Terms g| 164 -- t| References g| 164 -- g| 11 t| Coastal Waters and Coastline Evolution g| 167 -- g| 11.1 t| Optical Data g| 167 -- g| 11.1.1 t| The Color of the Water g| 167 -- g| 11.1.2 t| Bathymetric Data g| 171 -- g| 11.2 t| Passive Microwave Signatures from the Ocean g| 172 -- g| 11.3 t| Coastal Applications g| 173 -- g| 11.3.1 t| Physical Oceanography That Includes

t| Temperature, Salinity, and Sea Ice g| 173 -- g| 11.3.2 t| Water Quality, Including Algal Blooms g| 175 -- g| 11.3.3 t| Mangroves and Coastal Protection g| 176 -- g| 11.3.4 t| Coastal Evolution, Including Sediment Transport g| 178 -- g| 11.4 t| Practical Exercise-New York Bight g| 180 -- g| 11.4.1 t| Stage One: Importing and Processing MODIS L2 Data g| 180 -- g| 11.4.1.1 t| Step One: Downloading MODIS 12 Data g| 180 -- g| 11.4.1.2 t| Step Two: Importing the MODIS SST Data into SNAP g| 183 --

g| 11.4.1.3 t| Step Three: Processing the MODIS-Aqua SST Data g| 183 -- g| 11.4.1.4 t| Step Four: Importing and Processing the MODIS OC Data in SNAP g| 184 -- g| 11.4.1.5 t| Step Five: Save the Products g| 186 -- g| 11.4.2 t| Stage Two: Comparison of MODIS L2 and Landsat Data g| 186 -- g| 11.4.2.1 t| Step Six: Restarting SNAP and Importing Landsat Data g| 186 -- g| 11.4.2.2 t| Step Seven: Importing the Previous OC Product g| 187 -- g| 11.4.2.3 t| Step Eight: Reprojection of the OC Image g| 187 -- g| 11.4.3 t| Stage Three: MODIS L3 Data g| 189 -- g| 11.4.3.1 t| Step Ten: Downloading MODIS L3 Data g| 189 -- g| 11.5 t| Summary g| 190 -- g| 11.6 t| Online Resources g| 190 -- g| 11.7 t| Key Terms g| 191 -- t| References g| 191 -- g| 12 t| Where to Next? g| 193 -- g| 12.1 t| Developments in Satellite Hardware g| 193 -- g| 12.1.1 t| Instruments g| 193 -- g| 12.1.2 t| Satellite Developments g| 194 -- g| 12.2 t| Developments in Data Processing g| 195 -- g| 12.2.1 t| Accessing Online Data Sets g| 195 -- g| 12.2.2 t| Cloud Processing g| 196 -- g| 12.2.3 t| Integration g| 196 -- g| 12.2.4 t| Object-Based Image Analysis g| 197 -- g| 12.2.5 t| Open Source Software g| 197 -- g| 12.3 t| Developments in Applications g| 198 -- g| 12.3.1 t| Citizen Science g| 198 -- g| 12.3.2 t| Climate Quality Data Sets g| 198 -- g| 12.3.3 t| Repurposing g| 199 -- g| 12.4 t| Long-Term Developments for Remote Sensing g| 199 -- g| 12.5 t| Developing Your Knowledge Further g| 200 -- g| 12.5.1 t| Examples of Further Reading g| 201 -- g| 12.6 t| Summary g| 201 -- g| 12.7 t| Online Resources g| 202 -- t| References g| 202.

a| Acquired for the Penn Libraries with assistance from the Alumni and Friends Memorial Book Fund.

a| Remote sensing v| Handbooks, manuals, etc.

a| Remote sensing. 2| fast 0| http://id.worldcat.org/fast/1094469

a| Handbooks and manuals. 2| fast 0| http://id.worldcat.org/fast/1423877

a| Handbooks and manuals. 2| lcgft 0| http://id.loc.gov/authorities/genreForms/gf2014026109

a| Lavender, Andrew, e| author. 0| http://id.loc.gov/authorities/names/n2015040165

a| Alumni and Friends Memorial Book Fund. 5| PU

3| The Alumni and Friends Memorial Book Fund Home Page u| http://hdl.library.upenn.edu/1017.12/366295

a| MARCIVE 2022

a| 99965603124 b| 308009 c| 99965603124 d| Paper e| MC g| 1 h| scif j| oovanp

b| 69.95 h| USD s| 20160108 z| cat 2: Enc lvl 8 or e

a| C0 b| PAU