Publication
Google Earth Engine Open-Source Code for Land Surface Temperature Estimation from the Landsat Series
| Summary: | Land Surface Temperature (LST) is increasingly important for various studies assessing land surface conditions, e.g., studies of urban climate, evapotranspiration, and vegetation stress. The Landsat series of satellites have the potential to provide LST estimates at a high spatial resolution, which is particularly appropriate for local or small-scale studies. Numerous studies have proposed LST retrieval algorithms for the Landsat series, and some datasets are available online. However, those datasets generally require the users to be able to handle large volumes of data. Google Earth Engine (GEE) is an online platform created to allow remote sensing users to easily perform big data analyses without increasing the demand for local computing resources. However, high spatial resolution LST datasets are currently not available in GEE. Here we provide a code repository that allows computing LSTs from Landsat 4, 5, 7, and 8 within GEE. The code may be used freely by users for computing Landsat LST as part of any analysis within GEE. |
|---|---|
| Main Authors: | Ermida, Sofia L. |
| Other Authors: | Soares, Patrícia; Mantas, Vasco; Göttsche, Frank-M.; Trigo, Isabel F. |
| Subject: | Land Surface Temperature Landsat Google Earth Engine ASTER GED high resolution |
| Year: | 2020 |
| Country: | Portugal |
| Document type: | article |
| Access type: | open access |
| Associated institution: | Universidade de Coimbra |
| Language: | English |
| Origin: | Estudo Geral - Universidade de Coimbra |
| _version_ | 1877780854774693888 |
|---|---|
| author | Ermida, Sofia L. |
| author2 | Soares, Patrícia Mantas, Vasco Göttsche, Frank-M. Trigo, Isabel F. |
| author2_role | author author author author |
| author_facet | Ermida, Sofia L. Soares, Patrícia Mantas, Vasco Göttsche, Frank-M. Trigo, Isabel F. |
| author_role | author |
| contributor_name_str_mv | Estudo Geral |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Ermida, Sofia L.\"},{\"Person.name\":\"Soares, Patrícia\"},{\"Person.name\":\"Mantas, Vasco\"},{\"Person.name\":\"Göttsche, Frank-M.\"},{\"Person.name\":\"Trigo, Isabel F.\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Estudo Geral |
| datacite.creators.creator.creatorName.fl_str_mv | Ermida, Sofia L. Soares, Patrícia Mantas, Vasco Göttsche, Frank-M. Trigo, Isabel F. |
| datacite.date.Accepted.fl_str_mv | 2020-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2020-01-01T00:00:00Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Land Surface Temperature Landsat Google Earth Engine ASTER GED high resolution |
| datacite.titles.title.fl_str_mv | Google Earth Engine Open-Source Code for Land Surface Temperature Estimation from the Landsat Series |
| dc.contributor.none.fl_str_mv | Estudo Geral |
| dc.creator.none.fl_str_mv | Ermida, Sofia L. Soares, Patrícia Mantas, Vasco Göttsche, Frank-M. Trigo, Isabel F. |
| dc.date.Accepted.fl_str_mv | 2020-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2020-01-01T00:00:00Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | https://hdl.handle.net/10316/106655 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | MDPI |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Land Surface Temperature Landsat Google Earth Engine ASTER GED high resolution |
| dc.title.fl_str_mv | Google Earth Engine Open-Source Code for Land Surface Temperature Estimation from the Landsat Series |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6501 |
| description | Land Surface Temperature (LST) is increasingly important for various studies assessing land surface conditions, e.g., studies of urban climate, evapotranspiration, and vegetation stress. The Landsat series of satellites have the potential to provide LST estimates at a high spatial resolution, which is particularly appropriate for local or small-scale studies. Numerous studies have proposed LST retrieval algorithms for the Landsat series, and some datasets are available online. However, those datasets generally require the users to be able to handle large volumes of data. Google Earth Engine (GEE) is an online platform created to allow remote sensing users to easily perform big data analyses without increasing the demand for local computing resources. However, high spatial resolution LST datasets are currently not available in GEE. Here we provide a code repository that allows computing LSTs from Landsat 4, 5, 7, and 8 within GEE. The code may be used freely by users for computing Landsat LST as part of any analysis within GEE. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | article |
| id | estudogl_f995d7d063bd5996a02dada891b74973 |
| identifier.url.fl_str_mv | https://hdl.handle.net/10316/106655 |
| inst_facet_str | urn:organizationAcronym:uc{{{_:::_}}}Universidade de Coimbra |
| instacron_str | uc |
| institution | Universidade de Coimbra |
| instname_str | Universidade de Coimbra |
| language | eng |
| network_acronym_str | estudogl |
| network_name_str | Estudo Geral - Universidade de Coimbra |
| oai_identifier_str | oai:estudogeral.uc.pt:10316/106655 |
| organization_str_mv | urn:organizationAcronym:uc |
| person_str_mv | Ermida, Sofia L. Soares, Patrícia Mantas, Vasco Göttsche, Frank-M. Trigo, Isabel F. |
| publishDate | 2020 |
| publisher.none.fl_str_mv | MDPI |
| repo_facet_str | urn:repositoryAcronym:estudogl{{{_:::_}}}Estudo Geral - Universidade de Coimbra |
| reponame_str | Estudo Geral - Universidade de Coimbra |
| repository_id_str | urn:repositoryAcronym:estudogl |
| service_str_mv | urn:repositoryAcronym:estudogl |
| spelling | engMDPIengLand Surface Temperature (LST) is increasingly important for various studies assessing land surface conditions, e.g., studies of urban climate, evapotranspiration, and vegetation stress. The Landsat series of satellites have the potential to provide LST estimates at a high spatial resolution, which is particularly appropriate for local or small-scale studies. Numerous studies have proposed LST retrieval algorithms for the Landsat series, and some datasets are available online. However, those datasets generally require the users to be able to handle large volumes of data. Google Earth Engine (GEE) is an online platform created to allow remote sensing users to easily perform big data analyses without increasing the demand for local computing resources. However, high spatial resolution LST datasets are currently not available in GEE. Here we provide a code repository that allows computing LSTs from Landsat 4, 5, 7, and 8 within GEE. The code may be used freely by users for computing Landsat LST as part of any analysis within GEE.application/pdfporGoogle Earth Engine Open-Source Code for Land Surface Temperature Estimation from the Landsat SeriesErmida, Sofia L.Soares, PatríciaMantas, VascoGöttsche, Frank-M.Trigo, Isabel F.HostingInstitutionOrganizationalEstudo Gerale-mailmailto:inf@sib.uc.ptinf@sib.uc.ptISSNIsPartOf2072-4292DOIIsPartOf10.3390/rs1209147120202020-01-01T00:00:00Z2020-01-01T00:00:00ZHandlehttps://hdl.handle.net/10316/106655http://purl.org/coar/access_right/c_abf2open accessLand Surface TemperatureLandsatGoogle Earth EngineASTER GEDhigh resolution9719593 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal articleapplication/pdfhttps://estudogeral.uc.pt/bitstream/10316/106655/1/Google-earth-engine-opensource-code-for-land-surface-temperature-estimation-from-the-landsat-seriesRemote-Sensing.pdf |
| spellingShingle | Google Earth Engine Open-Source Code for Land Surface Temperature Estimation from the Landsat Series Ermida, Sofia L. Land Surface Temperature Landsat Google Earth Engine ASTER GED high resolution |
| status | SINGLETON |
| subject.fl_str_mv | Land Surface Temperature Landsat Google Earth Engine ASTER GED high resolution |
| title | Google Earth Engine Open-Source Code for Land Surface Temperature Estimation from the Landsat Series |
| title_full | Google Earth Engine Open-Source Code for Land Surface Temperature Estimation from the Landsat Series |
| title_fullStr | Google Earth Engine Open-Source Code for Land Surface Temperature Estimation from the Landsat Series |
| title_full_unstemmed | Google Earth Engine Open-Source Code for Land Surface Temperature Estimation from the Landsat Series |
| title_short | Google Earth Engine Open-Source Code for Land Surface Temperature Estimation from the Landsat Series |
| title_sort | Google Earth Engine Open-Source Code for Land Surface Temperature Estimation from the Landsat Series |
| topic | Land Surface Temperature Landsat Google Earth Engine ASTER GED high resolution |
| topic_facet | Land Surface Temperature Landsat Google Earth Engine ASTER GED high resolution |
| url | https://hdl.handle.net/10316/106655 |
| visible | 1 |
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