Digital Images for Sabins-Ellis, Remote Sensing, 4/E


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Additional Materials


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Digital Image 1-1
Color image from multispectral data of San Pablo Bay, California. Area covered is the same as in Figures 1-23 and 1-24. Courtesy NASA Ames Research Center.
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Digital Image 1-2
AVIRIS hyperspectral image, Cuprite mining district, Nevada. S. J. Hook, C. D. Elvidge, M. Rast, and H. Watanabe. 1991. An evaluation of short-wavelength-infrared (SWIR) data from the AVIRIS and GEOSCAN instruments for mineralogic mapping at Cuprite, Nevada. Geophysics, 56, 1,432–1,440. Courtesy S. J. Hook, JPL.
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Digital Image 2-1
Handheld photograph taken by an astronaut onboard the International Space Station. Photo by M. J. Wilkinson. NASA Earth Observatory. 2016, November 21. Linear Dunes, Namib Sand Sea. NASA Earth Observatory. http://earthobservatory.nasa.gov/IOTD/view.php?id=89136 (accessed December 2017).
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Digital Image 3-1A
Landsat images showing change detection in Cambodia. Landsat 7 ETM+ natural color image acquired in 2000 (bands 1-2-3 in B-G-R). Courtesy NASA Earth Observatory and USGS.
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Digital Image 3-1B
Landsat images showing change detection in Cambodia. Landsat 8 OLI natural color image acquired in 2016 (bands 2-3-4 in B-G-R). Courtesy NASA Earth Observatory and USGS.
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Digital Image 3-2A
Lake Erie. Landsat OLI images acquired July 28, 2015 during a major algae bloom. Landsat OLI color image (bands 2-3-4 as B-G-R). Courtesy NASA Earth Observatory and USGS.
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Digital Image 3-2B
Lake Erie. Landsat OLI images acquired July 28, 2015 during a major algae bloom. Landsat OLI color IR image (bands 3-4-5 in B-G-R). Courtesy NASA Earth Observatory and USGS.
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Digital Image 3-3A
Landsat MSS color IR images (bands 1-2-4 in B-G-R) of Transvaal Basin, South Africa. Dry season MSS image. Landsat courtesy USGS.
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Digital Image 3-3B
Landsat MSS color IR images (bands 1-2-4 in B-G-R) of Transvaal Basin, South Africa. Wet season MSS image. Landsat courtesy USGS.
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Digital Image 5-1A
Enlarged HCMM images of the San Rafael Swell, Utah. Daytime TIR image (10.5 to 12.5 µm) acquired August 28, 1978. Courtesy A. B. Kahle, JPL. From A. B. Kahle, J. P. Schieldge, M. J. Abrams, R. E. Alley, and C. J. LeVine. 1981. Geologic Applications of Thermal Inertia Imaging Using HCMM Data (Publication 81-55). Pasadena, CA: Jet Propulsion Laboratory.
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Digital Image 5-1B
Enlarged HCMM images of the San Rafael Swell, Utah. Nighttime TIR image (10.5 to 12.5 µm) acquired August 27, 1978. Courtesy A. B. Kahle, JPL. From A. B. Kahle, J. P. Schieldge, M. J. Abrams, R. E. Alley, and C. J. LeVine. 1981. Geologic Applications of Thermal Inertia Imaging Using HCMM Data (Publication 81-55). Pasadena, CA: Jet Propulsion Laboratory.
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Digital Image 5-1C
Enlarged HCMM images of the San Rafael Swell, Utah. Visible (albedo) image acquired August 28, 1978. Courtesy A. B. Kahle, JPL. From A. B. Kahle, J. P. Schieldge, M. J. Abrams, R. E. Alley, and C. J. LeVine. 1981. Geologic Applications of Thermal Inertia Imaging Using HCMM Data (Publication 81-55). Pasadena, CA: Jet Propulsion Laboratory.
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Digital Image 5-1D
Enlarged HCMM images of the San Rafael Swell, Utah. Apparent thermal inertia (ATI) image. Dark tones display low ATI values and light tones show high ATI values. Courtesy A. B. Kahle, JPL. From A. B. Kahle, J. P. Schieldge, M. J. Abrams, R. E. Alley, and C. J. LeVine. 1981. Geologic Applications of Thermal Inertia Imaging Using HCMM Data (Publication 81-55). Pasadena, CA: Jet Propulsion Laboratory.
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Digital Image 5-2
Interpretation map of the ATI image of the San Rafael Swell, Utah (see Digital Image 5-1). Plateau terrain has high elevation and is relatively cool both day and night (little temperature change or low ΔT) so the ATI values are high (light tones on Digital Image 5-1). Windblown sand has a very low density and a low thermal inertia (Table 5-5) that cause high daytime and low nighttime temperatures (high ΔT) and a low ATI value (dark tones on Digital Image 5-1).
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Digital Image 5-3A
Active wildfire front imaged with airborne TABI-1800 TIR sensor, northern Alberta, Canada. Grayscale image of active fire front. Courtesy Alberta Sustainable Resource Development and ITRES.
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Digital Image 5-3B
Active wildfire front imaged with airborne TABI-1800 TIR sensor, northern Alberta, Canada. Color-coded image of active fire front. Courtesy Alberta Sustainable Resource Development and ITRES.
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Digital Image 6-1A
RADARSAT-2 images of the area surrounding the Lake Champlain Basin and the Richelieu River, Quebec, Canada. Preflood natural color image. From Canadian Space Agency. 2011. RADARSAT-2 Featured Images Archives in North America. http://www.asc-csa.gc.ca/eng/satellites/radarsat2/featured-image/featured-north-america.asp (accessed December 2017).
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Digital Image 6-1B
RADARSAT-2 images of the area surrounding the Lake Champlain Basin and the Richelieu River, Quebec, Canada. RADARSAT-2 flood image. From Canadian Space Agency. 2011. RADARSAT-2 Featured Images Archives in North America. http://www.asc-csa.gc.ca/eng/satellites/radarsat2/featured-image/featured-north-america.asp (accessed December 2017).
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Digital Image 6-2
Monitoring forest clear-cutting with radar. Courtesy Canadian Centre for Remote Sensing.
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Digital Image 9-1A
Images before and after enhancing saturation with IHS transformation. Before IHS. OLI 2-3-4 image, Thermopolis, Wyoming. Landsat courtesy USGS.
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Digital Image 9-1B
Images before and after enhancing saturation with IHS transformation. After IHS. OLI 2-3-4 image, Thermopolis, Wyoming. Landsat courtesy USGS.
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Digital Image 9-1C
Images before and after enhancing saturation with IHS transformation. Before IHS. TM 2-4-7 image, western Bolivia. Landsat courtesy USGS.
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Digital Image 9-1D
Images before and after enhancing saturation with IHS transformation. After IHS. TM 2-4-7 image, western Bolivia. Landsat courtesy USGS.
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Digital Image 11-1A
Nitrous dioxide emission change, 2005 to 2014. China and Japan NO2 emissions. Courtesy NASA.
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Digital Image 11-1B
Nitrous dioxide emission change, 2005 to 2014. United States NO2 emissions. Courtesy NASA.
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Digital Image 11-2A
QuikScat wind power density map. Winter wind power density map. Courtesy NASA JPL.
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Digital Image 11-2B
QuikScat wind power density map. Summer wind power density map. Courtesy NASA JPL.
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Digital Image 11-3
Aquarius ocean salinity for May 27 to June 2, 2012. From NASA Earth Observatory. 2012. A Measure of Salt. http://earthobservatory.nasa.gov/IOTD/view.php?id=78250&src=ve (accessed January 2018).
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Digital Image 11-4
MODIS chlorophyll-a seasonal composite map for Spring 2014. Courtesy NASA.
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Digital Image 11-5
AVHRR map of vegetation and vegetation vigor variability during the month of July over a 5-year period. From G. Gutman, D. Tarpley, A. Ignatov, and S. Olson. 1995. The enhanced NOAA global land dataset from the Advanced Very High Resolution Radiometer. Bulletin of the American Meteorological Society, 76, 1,141–1,156. Figure 5.
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Digital Image 11-6
Fires across Africa during July 2011 as observed by MODIS. Courtesy NASA.
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Digital Image 11-7
sUAS natural color image mosaic and 3-D model of terrain with individual American white pelicans on the island marked with red pins. From USGS NUPO. 2017. Census of Ground-Nesting Colonial Waterbirds: Anaho Island National Wildlife Refuge in Nevada. USGS National Unmanned Aircraft Systems Project Office. http://uas.usgs.gov/mission/NV_AnahoIslandNWRPelicans.shtml (accessed January 2018).
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Digital Image 12-1A
ARGON and MODIS images showing desiccation of Aral Sea, 1964 to 2016 . August 22, 1964 ARGON photograph. From NASA Earth Observatory. 2012, February 24. The Aral Sea, Before the Streams Ran Dry. http://earthobservatory.nasa.gov/IOTD/view.php?id=77193 (accessed January 2018).
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Digital Image 12-1B
ARGON and MODIS images showing desiccation of Aral Sea, 1964 to 2016 . August 26, 2000 MODIS image. From NASA Earth Observatory. 2019. World of Change: Shrinking Aral Sea. http://earthobservatory.nasa.gov/world-of-change/aral_sea.php (accessed March 2019).
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Digital Image 12-1C
ARGON and MODIS images showing desiccation of Aral Sea, 1964 to 2016 . August 16, 2007 MODIS image. From NASA Earth Observatory. 2019. World of Change: Shrinking Aral Sea. http://earthobservatory.nasa.gov/world-of-change/aral_sea.php (accessed March 2019).
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Digital Image 12-1D
ARGON and MODIS images showing desiccation of Aral Sea, 1964 to 2016. August 21, 2016 MODIS image. From NASA Earth Observatory. 2019. World of Change: Shrinking Aral Sea. http://earthobservatory.nasa.gov/world-of-change/aral_sea.php (accessed March 2019).
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Digital Image 12-2
Map of Cladophora algae (bright green pixels) in Clark Fork River, Montana. From K. F. Flynn and S. C. Chapra. 2014. Remote sensing of submerged aquatic vegetation in a shallow non-turbid river using an unmanned aerial vehicle. Remote Sensing, 6(12), 12,815–12,836 (Figure 6) (http://creativecommons.org/licenses/by/4.0/).
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Digital Image 13-1
Goldfield training site, Nevada. Zones are after R. P. Ashley. 1974. Goldfield mining district. In Guidebook to the Geology of Four Tertiary Volcanic Centers in Central Nevada (Report 19, pp. 49–66). Nevada Bureau of Mines and Geology and R. D. Harvey and C. J. Vitaliano. 1964. Wall-rock alteration in the Goldfield District, Nevada. Journal of Geology, 72, 564–579.

Left: diagram showing alteration zones associated with highly altered silica veins that may contain gold.

Center: Names of zones and subzones.

Right: Samples of zones and subzones. Except for the silicic zone, the samples are fresh and lack the brown and tan hues of iron oxides caused by weathering of pyrite.
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Digital Image 14-1
ESA global land cover map with legend. Courtesy CCI-LC Project.
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Digital Image 15-1
Mosaic of TM images of southern California. Band 7 is shown in red, band 4 in green, and the average of bands 1 and 2 in blue. Yellow lines are traces of active faults. White and red circles and dots are magnitude of earthquakes recorded from 1970 to 1995 by the Southern California Seismic Network. The red patches are clusters of small earthquakes. Courtesy R. E. Crippen, JPL.
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Digital Image 15-2A
Soil moisture maps of the United States. Soil moisture anomaly map that shows how much moisture is stored near the land surface compared to normal for February 21, 2019. Courtesy JPL and the SMAP Science Team.
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Digital Image 15-2B
Soil moisture maps of the United States. Calculated soil moisture anomaly map for March 2019. Courtesy National Weather Service Climate Prediction Center.
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Digital Image 16-1
Elevation change rates between 2001 to 2010 from ASTER and SPOT DEMs in the lower drainage basin of the Kangerlussuaq Glacier (area outlined by a dashed line in Figure 16-10). The white line marks the central flowline. White dots are sites used to register the DEMs to the altimetry time series. From T. Schenk, B. Csatho, C. van der Veen, and D. McCormick. 2014. Fusion of multi-sensor surface elevation data for improved characterization of rapidly changing outlet glaciers of Greenland. Remote Sensing of Environment, 149, 239–251, Figure 9. Reused with permission of Elsevier.

A. Annual elevation change rates computed from uncorrected ASTER DEMs.

B. The results after applying the height adjustment derived from the altimetry record.
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Digital Image 16-2
Rainfall, groundwater, and NDVI trends in the Fertile Crescent. From C. P. Kelley, S. Mohtadi, M. A. Cane, R. Seager, and Y. Kushnir. 2015. Climate change in the Fertile Crescent and implications of the recent Syrian drought. Proceedings of the National Academy of Sciences of the United States of America, 112(11), 3,241–3,246, Figure 2. doi:10.1073/pnas.1421533112

A. Winter rainfall 1931 to 2008

B. Rainfall change 1931 to 2008.

C. Groundwater depletion between 2008 and mean of 2002 to 2007.

D. Vegetation decline between 2008 and mean of 2001 to 2007.
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Digital Image 17-1
Malaria cases and the malaria risk map, southern Zambia. Households with and without incidence malaria cases are overlaid on the malaria risk map with first through fifth order streams. The size of the circle represents the number of person-months of observation within each study household. From W. J. Moss, H. Hamapumbu, T. Kobayashi, T. Shields, A. Kamanga, J. Clennon, S. Mharakurwa, P. E. Thuma, and G. Glass. 2011. Use of remote sensing to identify spatial risk factors for malaria in a region of declining transmission: A cross-sectional and longitudinal community survey. Malaria Journal, 10:163. Figure 4. http://malariajournal.biomedcentral.com/articles/10.1186/1475-2875-10-163 (accessed October 2019.
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Digital Image 17-2
Surface smoke air quality forecast map for October 24, 2019 at 3:00 pm EST. Courtesy NOAA National Weather Service (airquality.weather.gov).