Temperaturzeitreihen mit hoher räumlicher und zeitlicher Auflösung sind für verschiedene Anwendungen wichtig. Die neue MODIS Landoberflächentemperatur (LST) Kollektion 6 bietet zahlreiche Verbesserungen im Vergleich zur Kollektion 5. Da es sich jedoch um Fernerkundungsdaten im thermischen Bereich handelt, weist die Zeitreihe in wolkenbedeckten Gebieten Lücken auf. Mit einer neuartigen Methode [1] haben wir die täglichen globalen MODIS LST-Produkte MOD11A1/MYD11A1 (räumliche Auflösung: 1 km) für die Jahre 2003 bis 2022 vollständig rekonstruiert. Dazu kombinierten wir zeitliche und räumliche Interpolationen, wobei wir den Emissionsgrad und die Höhe als Kovariaten für die räumliche Interpolation verwendeten. <br> <br> Hier stellen wir eine Zeitreihe dieser rekonstruierten LST-Daten als Beispieldaten zur Verfügung. Es wurden Langzeit-Monatsmittel als monatliche Durchschnitts-LST-Karten für Deutschland zusammengefasst. Die Langzeit-Montalsmittel basieren auf den Monatsmitteln der Jahre 2003 - 2016, welche aus den Tagesmitteln berechnet wurden. Die Beispieldaten sind auf eine räumliche Auflösung von ca. 250 m hochgesampled.<br> <br> Die Daten werden im GeoTIFF-Format bereitgestellt. Das Koordinatenreferenzsystem (CRS) ist identisch mit dem MOD11A1/MYD11A1-Produkt (Sinusoidal), das von der NASA bereitgestellt wird. In WKT, wie von GDAL gemeldet:<br> <br> PROJCRS[\\\\\\\\\\\\\\\\"unnamed\\\\\\\\\\\\\\\\",<br> BASEGEOGCRS[\\\\\\\\\\\\\\\\"Unknown datum based upon the custom spheroid\\\\\\\\\\\\\\\\",<br> DATUM[\\\\\\\\\\\\\\\\"Not_specified_based_on_custom_spheroid\\\\\\\\\\\\\\\\",<br> ELLIPSOID[\\\\\\\\\\\\\\\\"Custom spheroid\\\\\\\\\\\\\\\\",6371007.181,0,<br> LENGTHUNIT[\\\\\\\\\\\\\\\\"metre\\\\\\\\\\\\\\\\",1,<br> ID[\\\\\\\\\\\\\\\\"EPSG\\\\\\\\\\\\\\\\",9001]]]],<br> PRIMEM[\\\\\\\\\\\\\\\\"Greenwich\\\\\\\\\\\\\\\\",0,<br> ANGLEUNIT[\\\\\\\\\\\\\\\\"degree\\\\\\\\\\\\\\\\",0.0174532925199433,<br> ID[\\\\\\\\\\\\\\\\"EPSG\\\\\\\\\\\\\\\\",9122]]]],<br> CONVERSION[\\\\\\\\\\\\\\\\"Sinusoidal\\\\\\\\\\\\\\\\",<br> METHOD[\\\\\\\\\\\\\\\\"Sinusoidal\\\\\\\\\\\\\\\\"],<br> PARAMETER[\\\\\\\\\\\\\\\\"Longitude of natural origin\\\\\\\\\\\\\\\\",0,<br> ANGLEUNIT[\\\\\\\\\\\\\\\\"degree\\\\\\\\\\\\\\\\",0.0174532925199433],<br> ID[\\\\\\\\\\\\\\\\"EPSG\\\\\\\\\\\\\\\\",8802]],<br> PARAMETER[\\\\\\\\\\\\\\\\"False easting\\\\\\\\\\\\\\\\",0,<br> LENGTHUNIT[\\\\\\\\\\\\\\\\"metre\\\\\\\\\\\\\\\\",1],<br> ID[\\\\\\\\\\\\\\\\"EPSG\\\\\\\\\\\\\\\\",8806]],<br> PARAMETER[\\\\\\\\\\\\\\\\"False northing\\\\\\\\\\\\\\\\",0,<br> LENGTHUNIT[\\\\\\\\\\\\\\\\"metre\\\\\\\\\\\\\\\\",1],<br> ID[\\\\\\\\\\\\\\\\"EPSG\\\\\\\\\\\\\\\\",8807]]],<br> CS[Cartesian,2],<br> AXIS[\\\\\\\\\\\\\\\\"easting\\\\\\\\\\\\\\\\",east,<br> ORDER[1],<br> LENGTHUNIT[\\\\\\\\\\\\\\\\"metre\\\\\\\\\\\\\\\\",1,<br> ID[\\\\\\\\\\\\\\\\"EPSG\\\\\\\\\\\\\\\\",9001]]],<br> AXIS[\\\\\\\\\\\\\\\\"northing\\\\\\\\\\\\\\\\",north,<br> ORDER[2],<br> LENGTHUNIT[\\\\\\\\\\\\\\\\"metre\\\\\\\\\\\\\\\\",1,<br> ID[\\\\\\\\\\\\\\\\"EPSG\\\\\\\\\\\\\\\\",9001]]]]<br> <br> Namenskonvention:<br> lst_250m_lt_MM_avg.tif<br> MM ist der zweistellige Monat.<br> Beispiel für Januar: lst_250m_lt_01_avg.tif<br> <br> Bedeutung der Pixelwerte:<br> Die Pixelwerte sind in Grad Celsius * 10 kodiert.<br> D.h. der Pixelwert muss durch 10 geteilt werden, um Grad Celsius zu erhalten.<br> <br> Datentyp: Raster, Int16<br> <br> Räumliche Auflösung: 231.6563582846881673 m<br> <br> Räumliche Ausdehnung Sinusförmig (W, S, E, N): 408410.160, 5256282.769, 1047318.396, 6122214.237<br> <br> [1] Metz M., Andreo V., Neteler M. (2017): Eine neue lückenlose Zeitreihe der Landoberflächentemperatur aus MODIS LST-Daten. Remote Sensing, 9(12):1333. DOI: http://dx.doi.org/10.3390/rs9121333<br> <br> Danksagung: Wir danken dem NASA Land Processes Distributed Active Archive Center (LP DAAC) für die Bereitstellung der MODIS LST-Daten. Der Datensatz basiert auf der MODIS-Sammlung V006. <br> <br>
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. [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 The data available here for download are the reconstructed global MODIS LST products MOD11C1/MYD11C1 at a spatial resolution of 3 arc-min (approximately 5.6 km at the equator; see https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table), aggregated to monthly data. 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: GEOGCS["Unknown datum based upon the Clarke 1866 ellipsoid", DATUM["Not specified (based on Clarke 1866 spheroid)", SPHEROID["Clarke 1866",6378206.4,294.9786982138982, AUTHORITY["EPSG","7008"]]], PRIMEM["Greenwich",0], UNIT["degree",0.0174532925199433]] 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. File name abbreviations: avg = average of daily averages min = minimum of daily minima max = maximum of daily maxima Meaning of pixel values: The pixel values are coded in degree Celsius * 100 (hence, to obtain °C divide the pixel values by 100.0).
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 MOD11A1/MYD11A1 (spatial resolution: 1 km). For this, we combined temporal and spatial interpolation, using emissivity and elevation as covariates for the spatial interpolation. The data are provided in GeoTIFF format. The Coordinate Reference System (CRS) is identical to the MOD11A1/MYD11A1 product (Sinusoidal) as provided by NASA. In WKT as reported by GDAL: PROJCRS["unnamed", BASEGEOGCRS["Unknown datum based upon the custom spheroid", DATUM["Not specified (based on custom spheroid)", ELLIPSOID["Custom spheroid",6371007.181,0, LENGTHUNIT["metre",1, ID["EPSG",9001]]]], PRIMEM["Greenwich",0, ANGLEUNIT["degree",0.0174532925199433, ID["EPSG",9122]]]], CONVERSION["unnamed", METHOD["Sinusoidal"], PARAMETER["Longitude of natural origin",0, ANGLEUNIT["degree",0.0174532925199433], ID["EPSG",8802]], PARAMETER["False easting",0, LENGTHUNIT["Meter",1], ID["EPSG",8806]], PARAMETER["False northing",0, LENGTHUNIT["Meter",1], ID["EPSG",8807]]], CS[Cartesian,2], AXIS["easting",east, ORDER[1], LENGTHUNIT["Meter",1]], AXIS["northing",north, ORDER[2], LENGTHUNIT["Meter",1]]] 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. Meaning of pixel values: The pixel values are coded in Kelvin * 50 Data type: raster, UInt16 Spatial resolution: 926.62543314 m Spatial extent Sinusoidal (W, S, E, N): 0, 4447802.079066, 2223901.039533, 6671703.118599 Spatial extent in EPSG:4326 (W, S, E, N): 0, 40, 40, 60 [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
Northern Italy Land Surface Temperature 1km daily Celsius gap-filled datasetLST daily avg, 2010 - 2018, reconstructed format: GRASS GIS raster format ZLIB compressed stored as a GRASS GIS 7 location/mapset Projection: EU LAEA (EPSG:3035)Reference: Metz, M.; Andreo, V.; Neteler, M. A New Fully Gap-Free Time Series of Land Surface Temperature from MODIS LST Data. Remote Sens. 2017, 9, 1333. https://doi.org/10.3390/rs9121333