Quantifying Libya-4 Surface Reflectance Heterogeneity With WorldView-1, 2 and EO-1 Hyperion
The land surface imaging (LSI) virtual constellation approach promotes the concept of increasing Earth observations from multiple but disparate satellites. We evaluated this through spectral and spatial domains, by comparing surface reflectance from 30-m Hyperion and 2-m resolution WorldView-2 (WV-2...
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Veröffentlicht in: | IEEE geoscience and remote sensing letters 2015-11, Vol.12 (11), p.2277-2281 |
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description | The land surface imaging (LSI) virtual constellation approach promotes the concept of increasing Earth observations from multiple but disparate satellites. We evaluated this through spectral and spatial domains, by comparing surface reflectance from 30-m Hyperion and 2-m resolution WorldView-2 (WV-2) data in the Libya-4 pseudoinvariant calibration site. We convolved and resampled Hyperion to WV-2 bands using both cubic convolution and nearest neighbor (NN) interpolation. Additionally, WV-2 and WV-1 same-date imagery were processed as a cross-track stereo pair to generate a digital terrain model to evaluate the effects from large (>70 m) linear dunes. Agreement was moderate to low on dune peaks between WV-2 and Hyperion (R 2 0.6). Our results provide a satellite sensor intercomparison protocol for an LSI virtual constellation at high spatial resolution, which should start with geolocation of pixels, followed by NN interpolation to avoid tall dunes that enhance surface reflectance differences across this internationally utilized site. |
doi_str_mv | 10.1109/LGRS.2015.2468174 |
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Our results provide a satellite sensor intercomparison protocol for an LSI virtual constellation at high spatial resolution, which should start with geolocation of pixels, followed by NN interpolation to avoid tall dunes that enhance surface reflectance differences across this internationally utilized site.</description><identifier>ISSN: 1545-598X</identifier><identifier>EISSN: 1558-0571</identifier><identifier>DOI: 10.1109/LGRS.2015.2468174</identifier><identifier>CODEN: IGRSBY</identifier><language>eng</language><publisher>Goddard Space Flight Center: IEEE</publisher><subject>Calibration ; Digital terrain model (DTM) ; Dunes ; Earth ; Earth observations (from space) ; Earth Resources And Remote Sensing ; EO-1 Hyperion ; Interpolation ; Land surface ; land surface imaging (LSI) ; Large scale integration ; Libya-4 ; Neural networks ; pseudoinvariant calibration site (PICS) ; Reflectance ; Reflectivity ; Remote sensing ; Satellite constellations ; Satellites ; Spatial resolution ; surface reflectance ; Surface topography ; WorldView</subject><ispartof>IEEE geoscience and remote sensing letters, 2015-11, Vol.12 (11), p.2277-2281</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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R.</creatorcontrib><creatorcontrib>McCorkel, Joel</creatorcontrib><creatorcontrib>Middleton, Elizabeth M.</creatorcontrib><title>Quantifying Libya-4 Surface Reflectance Heterogeneity With WorldView-1, 2 and EO-1 Hyperion</title><title>IEEE geoscience and remote sensing letters</title><addtitle>LGRS</addtitle><description>The land surface imaging (LSI) virtual constellation approach promotes the concept of increasing Earth observations from multiple but disparate satellites. We evaluated this through spectral and spatial domains, by comparing surface reflectance from 30-m Hyperion and 2-m resolution WorldView-2 (WV-2) data in the Libya-4 pseudoinvariant calibration site. We convolved and resampled Hyperion to WV-2 bands using both cubic convolution and nearest neighbor (NN) interpolation. Additionally, WV-2 and WV-1 same-date imagery were processed as a cross-track stereo pair to generate a digital terrain model to evaluate the effects from large (>70 m) linear dunes. Agreement was moderate to low on dune peaks between WV-2 and Hyperion (R 2 <; 0.4) but higher in areas of lower elevation and slope (R 2 > 0.6). Our results provide a satellite sensor intercomparison protocol for an LSI virtual constellation at high spatial resolution, which should start with geolocation of pixels, followed by NN interpolation to avoid tall dunes that enhance surface reflectance differences across this internationally utilized site.</description><subject>Calibration</subject><subject>Digital terrain model (DTM)</subject><subject>Dunes</subject><subject>Earth</subject><subject>Earth observations (from space)</subject><subject>Earth Resources And Remote Sensing</subject><subject>EO-1 Hyperion</subject><subject>Interpolation</subject><subject>Land surface</subject><subject>land surface imaging (LSI)</subject><subject>Large scale integration</subject><subject>Libya-4</subject><subject>Neural networks</subject><subject>pseudoinvariant calibration site (PICS)</subject><subject>Reflectance</subject><subject>Reflectivity</subject><subject>Remote sensing</subject><subject>Satellite constellations</subject><subject>Satellites</subject><subject>Spatial resolution</subject><subject>surface reflectance</subject><subject>Surface topography</subject><subject>WorldView</subject><issn>1545-598X</issn><issn>1558-0571</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>CYI</sourceid><recordid>eNqFkU1r1UAUhoMoWKs_QHQRcOPCXM9M5nMppe0VLhRbtYKLYTI5U6ekk-tMQsm_d8ItLrrp5pwD73O-eKvqLYENIaA_784vrzYUCN9QJhSR7Fl1RDhXDXBJnq814w3X6tfL6lXOtwCUKSWPqt_fZhun4JcQb-pd6BbbsPpqTt46rC_RD-gmG0u9xQnTeIMRw7TU12H6U1-Paeh_BrxvyKea1jb29elFQ-rtsscUxvi6euHtkPHNQz6ufpydfj_ZNruL868nX3aNYxymhnZUeHDQtZJAT7m0UjCKPaHM950QgiraKcFBOOWYoyUw7bXqQLXeKWyPq4-Hufs0_p0xT-YuZIfDYCOOczZEEQFMaQ5Po1KXm0AwXdAPj9DbcU6xPFIoqlvNFFOFIgfKpTHnhN7sU7izaTEEzOqMWZ0xqzPmwZnS8_7QE222Jk4pr7oAgLK6LfK7gxwQ8f84SammSrb_AEi-jyw</recordid><startdate>20151101</startdate><enddate>20151101</enddate><creator>Neigh, Christopher S. 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R. ; McCorkel, Joel ; Middleton, Elizabeth M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c450t-2b26f0c0b3710d257a7642ed124fdb666282b86506c8c4c28c449f98b083fc8e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Calibration</topic><topic>Digital terrain model (DTM)</topic><topic>Dunes</topic><topic>Earth</topic><topic>Earth observations (from space)</topic><topic>Earth Resources And Remote Sensing</topic><topic>EO-1 Hyperion</topic><topic>Interpolation</topic><topic>Land surface</topic><topic>land surface imaging (LSI)</topic><topic>Large scale integration</topic><topic>Libya-4</topic><topic>Neural networks</topic><topic>pseudoinvariant calibration site (PICS)</topic><topic>Reflectance</topic><topic>Reflectivity</topic><topic>Remote sensing</topic><topic>Satellite constellations</topic><topic>Satellites</topic><topic>Spatial resolution</topic><topic>surface reflectance</topic><topic>Surface topography</topic><topic>WorldView</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Neigh, Christopher S. 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R.</au><au>McCorkel, Joel</au><au>Middleton, Elizabeth M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantifying Libya-4 Surface Reflectance Heterogeneity With WorldView-1, 2 and EO-1 Hyperion</atitle><jtitle>IEEE geoscience and remote sensing letters</jtitle><stitle>LGRS</stitle><date>2015-11-01</date><risdate>2015</risdate><volume>12</volume><issue>11</issue><spage>2277</spage><epage>2281</epage><pages>2277-2281</pages><issn>1545-598X</issn><eissn>1558-0571</eissn><coden>IGRSBY</coden><abstract>The land surface imaging (LSI) virtual constellation approach promotes the concept of increasing Earth observations from multiple but disparate satellites. We evaluated this through spectral and spatial domains, by comparing surface reflectance from 30-m Hyperion and 2-m resolution WorldView-2 (WV-2) data in the Libya-4 pseudoinvariant calibration site. We convolved and resampled Hyperion to WV-2 bands using both cubic convolution and nearest neighbor (NN) interpolation. Additionally, WV-2 and WV-1 same-date imagery were processed as a cross-track stereo pair to generate a digital terrain model to evaluate the effects from large (>70 m) linear dunes. Agreement was moderate to low on dune peaks between WV-2 and Hyperion (R 2 <; 0.4) but higher in areas of lower elevation and slope (R 2 > 0.6). Our results provide a satellite sensor intercomparison protocol for an LSI virtual constellation at high spatial resolution, which should start with geolocation of pixels, followed by NN interpolation to avoid tall dunes that enhance surface reflectance differences across this internationally utilized site.</abstract><cop>Goddard Space Flight Center</cop><pub>IEEE</pub><doi>10.1109/LGRS.2015.2468174</doi><tpages>5</tpages><orcidid>https://orcid.org/0000-0002-5322-6340</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Calibration Digital terrain model (DTM) Dunes Earth Earth observations (from space) Earth Resources And Remote Sensing EO-1 Hyperion Interpolation Land surface land surface imaging (LSI) Large scale integration Libya-4 Neural networks pseudoinvariant calibration site (PICS) Reflectance Reflectivity Remote sensing Satellite constellations Satellites Spatial resolution surface reflectance Surface topography WorldView |
title | Quantifying Libya-4 Surface Reflectance Heterogeneity With WorldView-1, 2 and EO-1 Hyperion |
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