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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"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>",
"language": "eng",
"title": "Monthly MODIS LST data related to the article: A new fully gap-free time series of land surface temperature from MODIS LST data",
"license": {
"id": "CC-BY-4.0"
},
"journal": {
"volume": "9",
"issue": "12",
"pages": "1333",
"title": "Remote Sensing"
},
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"keywords": [
"land surface temperature",
"environmental monitoring",
"urban heat waves",
"MODIS",
"reconstruction",
"time series",
"dataset",
"open data",
"earth observation",
"remote sensing",
"temperature"
],
"publication_date": "2017-12-14",
"creators": [
{
"orcid": "0000-0002-4038-8754",
"affiliation": "mundialis GmbH & Co. KG. Bonn, Germany",
"name": "Metz, Markus"
},
{
"orcid": "0000-0002-4633-2161",
"affiliation": "Department of Earth Observation Sciences. ITC - Faculty of Geo-Information Science and Earth Observation. University of Twente. Enschede, The Netherlands",
"name": "Andreo, Ver\u00f3nica"
},
{
"orcid": "0000-0003-1916-1966",
"affiliation": "mundialis GmbH & Co. KG. Bonn, Germany",
"name": "Neteler, Markus"
}
],
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| Views | 1,536 | 590 |
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| Unique downloads | 1,625 | 1,198 |
Indexed in
- Publication date:
- December 14, 2017
- DOI:
-
- Keyword(s):
- land surface temperature environmental monitoring urban heat waves MODIS reconstruction time series dataset open data earth observation remote sensing temperature
- Published in:
- Remote Sensing: 9 pp. 1333 (12).
- Related identifiers:
- Cited by
- License (for files):
- Creative Commons Attribution 4.0 International