Dataset Open Access
Metz, Markus;
Andreo, Verónica;
Neteler, Markus
{ "inLanguage": { "alternateName": "eng", "@type": "Language", "name": "English" }, "description": "<p>Temperature time series with high spatial and temporal resolutions are important for several applications. The new MODIS Land Surface Temperature (LST) collection 6 provides numerous improvements compared to collection 5. However, being remotely sensed data in the thermal range, LST shows gaps in cloud-covered areas. With a novel method [1] we fully reconstructed the daily global MODIS LST products MOD11C1 and MYD11C1 (spatial resolution: 3 arc-min, i.e. approximately 5.6 km at the equator). For this, we combined temporal and spatial interpolation, using emissivity and elevation as covariates for the spatial interpolation. Here we provide a time series of these reconstructed LST data aggregated as monthly average, minimum and maximum LST maps.</p>\n\n<p>[1] Metz M., Andreo V., Neteler M. (2017): A new fully gap-free time series of Land Surface Temperature from MODIS LST data. Remote Sensing, 9(12):1333. DOI: http://dx.doi.org/10.3390/rs9121333</p>\n\n<p>LICENSE: Open Data Commons Open Database License (ODbL) http://opendatacommons.org/licenses/odbl/</p>\n\n<p>Acknowledgments: We are grateful to the NASA Land Processes Distributed Active Archive Center (LP DAAC) for making the MODIS LST data available. The dataset is based on MODIS Collection V006.</p>\n\n<p><strong>The data available here for download are the reconstructed global MODIS LST products MOD11C1/MYD11C1 at a spatial resolution of 3 arc-min</strong> (approximately 5.6 km at the equator; see https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table), <strong>aggregated to monthly data</strong>. The data are provided in GeoTIFF format. The Coordinate Reference System (CRS) is identical to the MOD11C1/MYD11C1 product as provided by NASA. In WKT as reported by GDAL:<br>\n<br>\nGEOGCS["Unknown datum based upon the Clarke 1866 ellipsoid",<br>\n DATUM["Not specified (based on Clarke 1866 spheroid)",<br>\n SPHEROID["Clarke 1866",6378206.4,294.9786982138982,<br>\n AUTHORITY["EPSG","7008"]]],<br>\n PRIMEM["Greenwich",0],<br>\n UNIT["degree",0.0174532925199433]]<br>\n </p>\n\n<p><strong>File name</strong> abbreviations:</p>\n\n<ul>\n\t<li>avg = average of daily averages</li>\n\t<li>min = minimum of daily minima</li>\n\t<li>max = maximum of daily maxima</li>\n</ul>\n\n<p>Meaning of <strong>pixel values</strong>:</p>\n\n<ul>\n\t<li>The <strong>pixel values</strong> are coded in <strong>degree Celsius * 100</strong> (hence, to obtain °C divide the pixel values by 100.0).</li>\n</ul>", "license": "https://creativecommons.org/licenses/by/4.0/legalcode", "creator": [ { "affiliation": "mundialis GmbH & Co. KG. Bonn, Germany", "@id": "https://orcid.org/0000-0002-4038-8754", "@type": "Person", "name": "Metz, Markus" }, { "affiliation": "Department of Earth Observation Sciences. ITC - Faculty of Geo-Information Science and Earth Observation. University of Twente. Enschede, The Netherlands", "@id": "https://orcid.org/0000-0002-4633-2161", "@type": "Person", "name": "Andreo, Ver\u00f3nica" }, { "affiliation": "mundialis GmbH & Co. KG. Bonn, Germany", "@id": "https://orcid.org/0000-0003-1916-1966", "@type": "Person", "name": "Neteler, Markus" } ], "url": "https://zenodo.org/record/1115666", "datePublished": "2017-12-14", "version": "1.0.0", "keywords": [ "land surface temperature", "environmental monitoring", "urban heat waves", "MODIS", "reconstruction", "time series", "dataset", "open data", "earth observation", "remote sensing", "temperature" ], "@context": "https://schema.org/", "distribution": [ { "contentUrl": "https://zenodo.org/api/files/ebf949c8-c9c0-4335-aaf0-5374de73412b/lst_2003_avg.zip", "encodingFormat": "zip", "@type": "DataDownload" }, { "contentUrl": "https://zenodo.org/api/files/ebf949c8-c9c0-4335-aaf0-5374de73412b/lst_2003_max.zip", "encodingFormat": "zip", "@type": "DataDownload" }, { "contentUrl": "https://zenodo.org/api/files/ebf949c8-c9c0-4335-aaf0-5374de73412b/lst_2003_min.zip", "encodingFormat": "zip", "@type": "DataDownload" }, { "contentUrl": 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