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Validation of Collection 6 MODIS land surface temperature product using in situ measurements
Land surface temperature (LST) is an important physical quantity at the land-atmosphere interface. Since 2016 the Collection 6 (C6) MODIS LST product is publicly available, which includes three refinements over bare soil surfaces compared to the Collection 5 (C5) MODIS LST product. To encourage the...
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Published in: | Remote sensing of environment 2019-05, Vol.225, p.16-29 |
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description | Land surface temperature (LST) is an important physical quantity at the land-atmosphere interface. Since 2016 the Collection 6 (C6) MODIS LST product is publicly available, which includes three refinements over bare soil surfaces compared to the Collection 5 (C5) MODIS LST product. To encourage the use of the C6 MODIS LST product in a wide range of applications, it is necessary to evaluate the accuracy of the C6 MODIS LST product. In this study, we validated the C6 MODIS LST product using temperature-based method over various land cover types, including grasslands, croplands, cropland/natural vegetation mosaic, open shrublands, woody savannas, and barren/sparsely vegetated. In situ measurements were collected from various sites under different atmospheric and surface conditions, including seven SURFRAD sites (BND, TBL, DRA, FPK, GCM, PSU, and SXF) in the United States, three KIT sites (EVO, KAL, and GBB) in Portugal and Namibia, and three HiWATER sites (GBZ, HZZ, and HMZ) in China. The spatial representativeness of the in situ measurements at each site was separately evaluated during daytime and nighttime using all available clear-sky ASTER LST products at 90 m spatial resolution. Only six sites during daytime are selected as sufficiently homogeneous sites despite the usually high spatial thermal heterogeneity, whereas during nighttime most sites can be considered to be thermally homogeneous and have similar LST and air temperature. The C6 MODIS LST product was validated using in situ measurements from the selected homogeneous sites during daytime and nighttime: except for the GBB site, large RMSE values (>2 K) were obtained during daytime. However, if only satellite LST with a high spatial thermal homogeneity on the MODIS pixel scale are used for LST validation, the best daytime accuracy (RMSE |
doi_str_mv | 10.1016/j.rse.2019.02.020 |
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•C6 MODIS LST product was validated using the temperature-based method.•We compared with C5 and C6 MODIS LST products over various land cover types.•Except for bare soil sites, the RMSE difference between C5 and C6 is <0.4 K.•The existing issues of C6 MODIS LST product were analyzed and discussed.</description><identifier>ISSN: 0034-4257</identifier><identifier>EISSN: 1879-0704</identifier><identifier>DOI: 10.1016/j.rse.2019.02.020</identifier><language>eng</language><publisher>New York: Elsevier Inc</publisher><subject>Accuracy ; Agricultural land ; Air temperature ; ASTER (radiometer) ; Barren lands ; Collection ; Daytime ; Grasslands ; Heterogeneity ; Homogeneity ; In situ measurement ; In situ measurements ; Land cover ; Land surface temperature ; Land use ; MODIS ; Natural vegetation ; Night ; Nighttime ; Savannahs ; Sky ; Soil surfaces ; Spatial discrimination ; Spatial resolution ; Split-window algorithm ; Surface temperature ; Temperature effects ; Temperature-based validation method</subject><ispartof>Remote sensing of environment, 2019-05, Vol.225, p.16-29</ispartof><rights>2019 Elsevier Inc.</rights><rights>Copyright Elsevier BV May 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c473t-b9963f9819b3a74d1b258be27825aefd18ee2237859a7389029672a30eaa4d363</citedby><cites>FETCH-LOGICAL-c473t-b9963f9819b3a74d1b258be27825aefd18ee2237859a7389029672a30eaa4d363</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Duan, Si-Bo</creatorcontrib><creatorcontrib>Li, Zhao-Liang</creatorcontrib><creatorcontrib>Li, Hua</creatorcontrib><creatorcontrib>Göttsche, Frank-M.</creatorcontrib><creatorcontrib>Wu, Hua</creatorcontrib><creatorcontrib>Zhao, Wei</creatorcontrib><creatorcontrib>Leng, Pei</creatorcontrib><creatorcontrib>Zhang, Xia</creatorcontrib><creatorcontrib>Coll, César</creatorcontrib><title>Validation of Collection 6 MODIS land surface temperature product using in situ measurements</title><title>Remote sensing of environment</title><description>Land surface temperature (LST) is an important physical quantity at the land-atmosphere interface. Since 2016 the Collection 6 (C6) MODIS LST product is publicly available, which includes three refinements over bare soil surfaces compared to the Collection 5 (C5) MODIS LST product. To encourage the use of the C6 MODIS LST product in a wide range of applications, it is necessary to evaluate the accuracy of the C6 MODIS LST product. In this study, we validated the C6 MODIS LST product using temperature-based method over various land cover types, including grasslands, croplands, cropland/natural vegetation mosaic, open shrublands, woody savannas, and barren/sparsely vegetated. In situ measurements were collected from various sites under different atmospheric and surface conditions, including seven SURFRAD sites (BND, TBL, DRA, FPK, GCM, PSU, and SXF) in the United States, three KIT sites (EVO, KAL, and GBB) in Portugal and Namibia, and three HiWATER sites (GBZ, HZZ, and HMZ) in China. The spatial representativeness of the in situ measurements at each site was separately evaluated during daytime and nighttime using all available clear-sky ASTER LST products at 90 m spatial resolution. Only six sites during daytime are selected as sufficiently homogeneous sites despite the usually high spatial thermal heterogeneity, whereas during nighttime most sites can be considered to be thermally homogeneous and have similar LST and air temperature. The C6 MODIS LST product was validated using in situ measurements from the selected homogeneous sites during daytime and nighttime: except for the GBB site, large RMSE values (>2 K) were obtained during daytime. However, if only satellite LST with a high spatial thermal homogeneity on the MODIS pixel scale are used for LST validation, the best daytime accuracy (RMSE <1.3 K) for the C6 MODIS LST product is achieved over the BND and DRA sites. Except for the DRA site, the RMSE values during nighttime are <2 K at the selected homogeneous sites. Furthermore, the accuracy of the C6 MODIS LST product was compared with that of the C5 MODIS LST product during nighttime at the selected homogeneous sites. Except for the GBB site, there are only small differences (<0.4 K) between the RMSE values for the C5 and C6 MODIS LST products.
•C6 MODIS LST product was validated using the temperature-based method.•We compared with C5 and C6 MODIS LST products over various land cover types.•Except for bare soil sites, the RMSE difference between C5 and C6 is <0.4 K.•The existing issues of C6 MODIS LST product were analyzed and discussed.</description><subject>Accuracy</subject><subject>Agricultural land</subject><subject>Air temperature</subject><subject>ASTER (radiometer)</subject><subject>Barren lands</subject><subject>Collection</subject><subject>Daytime</subject><subject>Grasslands</subject><subject>Heterogeneity</subject><subject>Homogeneity</subject><subject>In situ measurement</subject><subject>In situ measurements</subject><subject>Land cover</subject><subject>Land surface temperature</subject><subject>Land use</subject><subject>MODIS</subject><subject>Natural vegetation</subject><subject>Night</subject><subject>Nighttime</subject><subject>Savannahs</subject><subject>Sky</subject><subject>Soil surfaces</subject><subject>Spatial discrimination</subject><subject>Spatial resolution</subject><subject>Split-window algorithm</subject><subject>Surface temperature</subject><subject>Temperature effects</subject><subject>Temperature-based validation method</subject><issn>0034-4257</issn><issn>1879-0704</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kFtLxDAQhYMouK7-AN8CPrdOkrZJ8EnW24KyD16ehJC2U0npZU1awX9v1vVZODAMnG_mcAg5Z5AyYMVlm_qAKQemU-BRcEAWTEmdgITskCwARJZkPJfH5CSEFoDlSrIFeX-znavt5MaBjg1djV2H1e9W0KfNzfqZdnaoaZh9YyukE_Zb9HaaPdKtH-u5mugc3PBB3UCDm2bao41m7HGYwik5amwX8OxvLsnr3e3L6iF53NyvV9ePSZVJMSWl1oVotGK6FFZmNSt5rkrkUvHcYlMzhci5kCrXVgqlgetCcisArc1qUYgludjfjZE-ZwyTacfZD_GliRxwJVXGoovtXZUfQ_DYmK13vfXfhoHZlWhaE0s0uxIN8CiIzNWewRj_y6E3oXI4VFg7H3sy9ej-oX8A8kp5iA</recordid><startdate>20190501</startdate><enddate>20190501</enddate><creator>Duan, Si-Bo</creator><creator>Li, Zhao-Liang</creator><creator>Li, Hua</creator><creator>Göttsche, Frank-M.</creator><creator>Wu, Hua</creator><creator>Zhao, Wei</creator><creator>Leng, Pei</creator><creator>Zhang, Xia</creator><creator>Coll, César</creator><general>Elsevier Inc</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SN</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7TG</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>JG9</scope><scope>JQ2</scope><scope>KL.</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope></search><sort><creationdate>20190501</creationdate><title>Validation of Collection 6 MODIS land surface temperature product using in situ measurements</title><author>Duan, Si-Bo ; Li, Zhao-Liang ; Li, Hua ; Göttsche, Frank-M. ; Wu, Hua ; Zhao, Wei ; Leng, Pei ; Zhang, Xia ; Coll, César</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c473t-b9963f9819b3a74d1b258be27825aefd18ee2237859a7389029672a30eaa4d363</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Accuracy</topic><topic>Agricultural land</topic><topic>Air temperature</topic><topic>ASTER (radiometer)</topic><topic>Barren lands</topic><topic>Collection</topic><topic>Daytime</topic><topic>Grasslands</topic><topic>Heterogeneity</topic><topic>Homogeneity</topic><topic>In situ measurement</topic><topic>In situ measurements</topic><topic>Land cover</topic><topic>Land surface temperature</topic><topic>Land use</topic><topic>MODIS</topic><topic>Natural vegetation</topic><topic>Night</topic><topic>Nighttime</topic><topic>Savannahs</topic><topic>Sky</topic><topic>Soil surfaces</topic><topic>Spatial discrimination</topic><topic>Spatial resolution</topic><topic>Split-window algorithm</topic><topic>Surface temperature</topic><topic>Temperature effects</topic><topic>Temperature-based validation method</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Duan, Si-Bo</creatorcontrib><creatorcontrib>Li, Zhao-Liang</creatorcontrib><creatorcontrib>Li, Hua</creatorcontrib><creatorcontrib>Göttsche, Frank-M.</creatorcontrib><creatorcontrib>Wu, Hua</creatorcontrib><creatorcontrib>Zhao, Wei</creatorcontrib><creatorcontrib>Leng, Pei</creatorcontrib><creatorcontrib>Zhang, Xia</creatorcontrib><creatorcontrib>Coll, César</creatorcontrib><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Ecology Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Remote sensing of environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Duan, Si-Bo</au><au>Li, Zhao-Liang</au><au>Li, Hua</au><au>Göttsche, Frank-M.</au><au>Wu, Hua</au><au>Zhao, Wei</au><au>Leng, Pei</au><au>Zhang, Xia</au><au>Coll, César</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Validation of Collection 6 MODIS land surface temperature product using in situ measurements</atitle><jtitle>Remote sensing of environment</jtitle><date>2019-05-01</date><risdate>2019</risdate><volume>225</volume><spage>16</spage><epage>29</epage><pages>16-29</pages><issn>0034-4257</issn><eissn>1879-0704</eissn><abstract>Land surface temperature (LST) is an important physical quantity at the land-atmosphere interface. Since 2016 the Collection 6 (C6) MODIS LST product is publicly available, which includes three refinements over bare soil surfaces compared to the Collection 5 (C5) MODIS LST product. To encourage the use of the C6 MODIS LST product in a wide range of applications, it is necessary to evaluate the accuracy of the C6 MODIS LST product. In this study, we validated the C6 MODIS LST product using temperature-based method over various land cover types, including grasslands, croplands, cropland/natural vegetation mosaic, open shrublands, woody savannas, and barren/sparsely vegetated. In situ measurements were collected from various sites under different atmospheric and surface conditions, including seven SURFRAD sites (BND, TBL, DRA, FPK, GCM, PSU, and SXF) in the United States, three KIT sites (EVO, KAL, and GBB) in Portugal and Namibia, and three HiWATER sites (GBZ, HZZ, and HMZ) in China. The spatial representativeness of the in situ measurements at each site was separately evaluated during daytime and nighttime using all available clear-sky ASTER LST products at 90 m spatial resolution. Only six sites during daytime are selected as sufficiently homogeneous sites despite the usually high spatial thermal heterogeneity, whereas during nighttime most sites can be considered to be thermally homogeneous and have similar LST and air temperature. The C6 MODIS LST product was validated using in situ measurements from the selected homogeneous sites during daytime and nighttime: except for the GBB site, large RMSE values (>2 K) were obtained during daytime. However, if only satellite LST with a high spatial thermal homogeneity on the MODIS pixel scale are used for LST validation, the best daytime accuracy (RMSE <1.3 K) for the C6 MODIS LST product is achieved over the BND and DRA sites. Except for the DRA site, the RMSE values during nighttime are <2 K at the selected homogeneous sites. Furthermore, the accuracy of the C6 MODIS LST product was compared with that of the C5 MODIS LST product during nighttime at the selected homogeneous sites. Except for the GBB site, there are only small differences (<0.4 K) between the RMSE values for the C5 and C6 MODIS LST products.
•C6 MODIS LST product was validated using the temperature-based method.•We compared with C5 and C6 MODIS LST products over various land cover types.•Except for bare soil sites, the RMSE difference between C5 and C6 is <0.4 K.•The existing issues of C6 MODIS LST product were analyzed and discussed.</abstract><cop>New York</cop><pub>Elsevier Inc</pub><doi>10.1016/j.rse.2019.02.020</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Accuracy Agricultural land Air temperature ASTER (radiometer) Barren lands Collection Daytime Grasslands Heterogeneity Homogeneity In situ measurement In situ measurements Land cover Land surface temperature Land use MODIS Natural vegetation Night Nighttime Savannahs Sky Soil surfaces Spatial discrimination Spatial resolution Split-window algorithm Surface temperature Temperature effects Temperature-based validation method |
title | Validation of Collection 6 MODIS land surface temperature product using in situ measurements |
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