Dataset Open Access

Monthly MODIS LST data related to the article: A new fully gap-free time series of land surface temperature from MODIS LST data

Metz, Markus; Andreo, Verónica; Neteler, Markus


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  "inLanguage": {
    "alternateName": "eng", 
    "@type": "Language", 
    "name": "English"
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  "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&nbsp; 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]&nbsp; 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[&quot;Unknown datum based upon the Clarke 1866 ellipsoid&quot;,<br>\n&nbsp;&nbsp;&nbsp; DATUM[&quot;Not specified (based on Clarke 1866 spheroid)&quot;,<br>\n&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; SPHEROID[&quot;Clarke 1866&quot;,6378206.4,294.9786982138982,<br>\n&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; AUTHORITY[&quot;EPSG&quot;,&quot;7008&quot;]]],<br>\n&nbsp;&nbsp;&nbsp; PRIMEM[&quot;Greenwich&quot;,0],<br>\n&nbsp;&nbsp;&nbsp; UNIT[&quot;degree&quot;,0.0174532925199433]]<br>\n&nbsp;</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 &deg;C divide the pixel values by 100.0).</li>\n</ul>\n\n<p>Version <strong>changelog</strong>:</p>\n\n<ul>\n\t<li>V1.1.0: GeoTIFF metadata updated.</li>\n\t<li>V1.0.0: original upload</li>\n</ul>", 
  "license": "https://opendatacommons.org/licenses/odbl/1-0/", 
  "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"
    }
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  "url": "https://zenodo.org/record/1135230", 
  "datePublished": "2018-01-05", 
  "version": "1.1.0", 
  "keywords": [
    "land surface temperature", 
    "environmental monitoring", 
    "urban heat waves", 
    "MODIS", 
    "reconstruction", 
    "time series", 
    "dataset", 
    "open data", 
    "earth observation", 
    "remote sensing", 
    "temperature"
  ], 
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  "identifier": "https://doi.org/10.5281/zenodo.1135230", 
  "@id": "https://doi.org/10.5281/zenodo.1135230", 
  "@type": "Dataset", 
  "name": "Monthly MODIS LST data related to the article: A new fully gap-free time series of land surface temperature from MODIS LST data"
}
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