Metz, Markus
Andreo, VerĂ³nica
Neteler, Markus
2018-01-05
<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>
<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>
<p>LICENSE: Open Data Commons Open Database License (ODbL) http://opendatacommons.org/licenses/odbl/</p>
<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>
<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>
<br>
GEOGCS["Unknown datum based upon the Clarke 1866 ellipsoid",<br>
DATUM["Not specified (based on Clarke 1866 spheroid)",<br>
SPHEROID["Clarke 1866",6378206.4,294.9786982138982,<br>
AUTHORITY["EPSG","7008"]]],<br>
PRIMEM["Greenwich",0],<br>
UNIT["degree",0.0174532925199433]]<br>
</p>
<p><strong>File name</strong> abbreviations:</p>
<ul>
<li>avg = average of daily averages</li>
<li>min = minimum of daily minima</li>
<li>max = maximum of daily maxima</li>
</ul>
<p>Meaning of <strong>pixel values</strong>:</p>
<ul>
<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>
</ul>
<p>Version <strong>changelog</strong>:</p>
<ul>
<li>V1.1.0: GeoTIFF metadata updated.</li>
<li>V1.0.0: original upload</li>
</ul>
https://doi.org/10.5281/zenodo.1135230
oai:zenodo.org:1135230
eng
Zenodo
https://doi.org/10.3390/rs9121333
https://doi.org/10.5281/zenodo.1115665
info:eu-repo/semantics/openAccess
ODC Open Database License v1.0
http://www.opendatacommons.org/licenses/odbl/1.0/
Remote Sensing, 9(12), 1333, (2018-01-05)
land surface temperature
environmental monitoring
urban heat waves
MODIS
reconstruction
time series
dataset
open data
earth observation
remote sensing
temperature
Monthly MODIS LST data related to the article: A new fully gap-free time series of land surface temperature from MODIS LST data
info:eu-repo/semantics/other