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  • These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MOD14A1 MODIS Thermal Anomalies/Fire products are primarily derived from MODIS 4- and 11-micrometer radiances. The fire detection strategy is based on absolute detection of a fire (when the fire strength is sufficient to detect), and on detection relative to its background (to account for variability of the surface temperature and reflection by sunlight). Numerous tests are employed to reject typical false alarm sources like sun glint or an unmasked coastline. MOD14A1 is produced every 8 days at 1-kilometer resolution as a gridded level-3 product in the Sinusoidal projection. This product is unique in that it has three dimensions: fire-mask (1D) and a maximum fire-radiative-power (2D) are provided for each day (3D) in the 8-day period. For example, the fire-mask contains eight, band sequential (day) 1200 x 1200 images of fire data representing consecutive days of data collection. The Terra MODIS instrument acquires data twice daily (10:30 AM and PM), as does the Aqua MODIS (1:30 PM and AM). These four daily MODIS fire observations serve to advance global monitoring of the fire process and its effects on ecosystems, the atmosphere, and climate. Collection-5 MODIS/Terra Thermal Anomalies/Fire products are Validated Stage 3, meaning that uncertainties in the product and its associated structure are well quantified from comparison with reference in situ or other suitable reference data. These data are ready for use in scientific publications. Shortname: MOD14A1 , Platform: Terra , Instrument: MODIS , Processing Level: Level-3 , Spatial Resolution: 1 km , Temporal Resolution: daily , ArchiveSets: 6 , Collection: MODIS Collection 6 (ArchiveSet 6) , PGE Number: PGE29 , File Naming Convention: MOD14A1.AYYYYDDD.hHHvVV.CCC.YYYYDDDHHMMSS.hdf YYYYDDD = Year and Day of Year of acquisition hHH = Horizontal tile number (0-35) vVV = Vertical tile number (0-17) CCC = Collection number YYYYDDDHHMMSS = Production Date and Time , Citation: Louis Giglio, Chris Justice - University of Maryland and MODAPS SIPS - NASA. (2015). MOD14A1 MODIS/Thermal Anomalies/Fire Daily L3 Global 1km SIN Grid. NASA LP DAAC. http://doi.org/10.5067/MODIS/MOD14A1.006 , Keywords: Climate Change, Land Surface Temperature, Fires

  • These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MYD11A1 The MODIS/Aqua Land Surface Temperature and Emissivity (LST/E) products provide per-pixel temperature and emissivity values in a sequence of swath-based to grid-based global products. The MODIS/Aqua LST/E Daily L3 Global 1 km SIN Grid,(Short name: MYD11A1), is a gridded version of the L2 Daily LST/E data set, whose LSTs are retrieved by the split-window algorithm. The Collection-4 (C4) LST/E L3 MYD11A1 product inputs include the MODIS L1B calibrated and geolocated radiances, geolocation, cloud mask, atmospheric profiles, land and snow cover. The band 31 and 32 emissivities are estimated by a classification-based emissivity method, which relies on the pixel's land cover type as determined by the land and snow cover inputs. Until June 2001, the AVHRR-based IGBP land cover product was used. Following that time, MODIS-derived land cover product was used. The estimated emissivities in arid and semi-arid areas are potentially uncertain, and users are advised to exercise caution in their applications. The day/night alogorithm extracts average temperatures (in Kelvin) and applies them to a pair of MODIS daytime and nighttime observations. This method yields 1 K accuracy for materials with known emissivities. The V4 MYD11A1 product has a temporal acquisition range of February 24, 2000 (2000-055) until January 3, 2007 (200-003). The C4 collection remains consistent with C41, and users may combine the two collections in a time-series analysis. The MODIS/Aqua Collection 41 (C41) products use a modified Collection-4 (C4) LST algorithm and Collection-5 (C5) data inputs. The C41 products primarily address underestimation problems in the C5 Climate Modeling Grid (CMG) products. Recent validation activities reveal that the C5 CMG products underestimate LSTs up to 6K especially in desert and semi-arid regions. The availability of this collection starts with MODIS/Aqua data acquisition on January 1, 2007 (2007-001). This date is driven by the availability of the MODIS C5 data inputs (level-1B radiance data, geolocation data, cloud mask, atmospheric profiles, and land and snow cover data). The MODIS/Aqua C5 LST/E L3 Global 5 km Grid product incorporates 1-km pixels, which are produced daily using the generalized split-window LST algorithm. This algorithm is optimally used to separate ranges of atmospheric column water vapor and lower boundary air surface temperatures into tractable sub-ranges. The surface emissivities in bands 31 and 32 are estimated from land cover types. The C5 MYD11_L2 product's acquisition range started March 5, 2000 (2000-065) and will continue until some time after the C6 reprocessing is complete. The C41 and C5 MODIS/Aqua LST/E products, including the MYD11A1, are validated to Stage-2 with well-defined uncertainties over a range of representative conditions. Further details regarding MODIS land product validation for the LST/E products are available from the MODIS land team validation site referenced under 'Val Status' section. The C41 LST products from 2007-001 will remain consistent with similar products from C4, and hence are amenable to combine them in a time-series analysis. Users should exercise caution, and not mix the C4.x (i.e., C4 and C41) and C5 LST products in their analyses. Shortname: MYD11A1 , Platform: Aqua , Instrument: MODIS , Processing Level: Level-3 , Spatial Resolution: 1 km , Temporal Resolution: daily , ArchiveSets: 6, 61 , Collection: MODIS Collection 6 (ArchiveSet 6) , PGE Number: PGE16M , File Naming Convention: MYD11A1.AYYYYDDD.hHHvVV.CCC.YYYYDDDHHMMSS.hdf YYYYDDD = Year and Day of Year of acquisition hHH = Horizontal tile number (0-35) vVV = Vertical tile number (0-17) CCC = Collection number YYYYDDDHHMMSS = Production Date and Time , Citation: Zhengming Wan - University of California Santa Barbara, Simon Hook, Glynn Hulley - JPL and MODAPS SIPS - NASA. (2015). MYD11A1 MODIS/Aqua Land Surface Temperature and the Emissivity Daily L3 Global 1km SIN Grid. NASA LP DAAC. http://doi.org/10.5067/MODIS/MYD11A1.006 , Keywords: Climate Change, Land Surface Temperature, Emissivity, Fires

  • These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MOD11A1 The MODIS/Terra Land Surface Temperature and Emissivity (LST/E) products provide per-pixel temperature and emissivity values in a sequence of swath-based to grid-based global products. The MODIS/Terra LST/E Daily L3 Global 1 km SIN Grid,(Short name: MOD11A1), is a gridded version of the L2 Daily LST/E data set, whose LSTs are retrieved by the split-window algorithm. The Collection-4 (C4) LST/E L3 MOD11A1 product inputs include the MODIS L1B calibrated and geolocated radiances, geolocation, cloud mask, atmospheric profiles, land and snow cover. The band 31 and 32 emissivities are estimated by a classification-based emissivity method, which relies on the pixel's land cover type as determined by the land and snow cover inputs. Until June 2001, the AVHRR-based IGBP land cover product was used. Following that time, MODIS-derived land cover product was used. The estimated emissivities in arid and semi-arid areas are potentially uncertain, and users are advised to exercise caution in their applications. The day/night alogorithm extracts average temperatures (in Kelvin) and applies them to a pair of MODIS daytime and nighttime observations. This method yields 1 K accuracy for materials with known emissivities. The V4 MOD11A1 product has a temporal acquisition range of February 24, 2000 (2000-055) until January 3, 2007 (200-003). The C4 collection remains consistent with C41, and users may combine the two collections in a time-series analysis. The MODIS/Terra Collection 41 (C41) products use a modified Collection-4 (C4) LST algorithm and Collection-5 (C5) data inputs. The C41 products primarily address underestimation problems in the C5 Climate Modeling Grid (CMG) products. Recent validation activities reveal that the C5 CMG products underestimate LSTs up to 6K especially in desert and semi-arid regions. The availability of this collection starts with MODIS/Terra data acquisition on January 1, 2007 (2007-001). This date is driven by the availability of the MODIS C5 data inputs (level-1B radiance data, geolocation data, cloud mask, atmospheric profiles, and land and snow cover data). The MODIS/Terra C5 LST/E L3 Global 5 km Grid product incorporates 1-km pixels, which are produced daily using the generalized split-window LST algorithm. This algorithm is optimally used to separate ranges of atmospheric column water vapor and lower boundary air surface temperatures into tractable sub-ranges. The surface emissivities in bands 31 and 32 are estimated from land cover types. The C5 MOD11_L2 product's acquisition range started March 5, 2000 (2000-065) and will continue until some time after the C6 reprocessing is complete. The C41 and C5 MODIS/Terra LST/E products, including the MOD11A1, are validated to Stage-2 with well-defined uncertainties over a range of representative conditions. Further details regarding MODIS land product validation for the LST/E products are available from the MODIS land team validation site referenced under 'Val Status' section. The C41 LST products from 2007-001 will remain consistent with similar products from C4, and hence are amenable to combine them in a time-series analysis. Users should exercise caution, and not mix the C4.x (i.e., C4 and C41) and C5 LST products in their analyses. Shortname: MOD11A1 , Platform: Terra , Instrument: MODIS , Processing Level: Level-3 , Spatial Resolution: 1 km , Temporal Resolution: daily , ArchiveSets: 6, 61 , Collection: MODIS Collection 6 (ArchiveSet 6) , PGE Number: PGE16M , File Naming Convention: MOD11A1.AYYYYDDD.hHHvVV.CCC.YYYYDDDHHMMSS.hdf YYYYDDD = Year and Day of Year of acquisition hHH = Horizontal tile number (0-35) vVV = Vertical tile number (0-17) CCC = Collection number YYYYDDDHHMMSS = Production Date and Time , Citation: Zhengming Wan - University of California Santa Barbara, Simon Hook, Glynn Hulley - JPL and MODAPS SIPS - NASA. (2015). MOD11A1 MODIS/Terra Land Surface Temperature and the Emissivity Daily L3 Global 1km SIN Grid. NASA LP DAAC. http://doi.org/10.5067/MODIS/MOD11A1.006 , Keywords: Climate Change, Land Surface Temperature, Emissivity, Fires

  • These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MOD11A2 The MOD11A2 Level-3 MODIS Land Surface Temperature and Emissivity (LST/E) 8-day products are composed of data from the daily 1-kilometer LST product (MOD11A1) stored on a 1-km Sinusoidal grid as the average values of clear-sky LSTs during an 8-day period. MOD11A2 is comprised of daytime and nighttime LSTs, quality assurance assessment, observation times, view angles, bits of clear sky days and nights, and emissivities estimated in Bands 31 and 32 from land cover types. Collection-5 MODIS/Terra Land Surface Temperature/Emissivity products are validated to Stage 2, which means that their accuracy has been assessed over a widely distributed set of locations and time periods via several ground-truth and validation efforts. Further details regarding MODIS land product validation for the LST/E products are available from the following URL: http://landval.gsfc.nasa.gov/ProductStatus.php?ProductID=MOD11. Shortname: MOD11A2 , Platform: Terra , Instrument: MODIS , Processing Level: Level-3 , Spatial Resolution: 1 km , Temporal Resolution: 8 day , ArchiveSets: 6, 61 , Collection: MODIS Collection 6 (ArchiveSet 6) , PGE Number: PGE31 , File Naming Convention: MOD11A2.AYYYYDDD.hHHvVV.CCC.YYYYDDDHHMMSS.hdf YYYYDDD = Year and Day of Year of acquisition hHH = Horizontal tile number (0-35) vVV = Vertical tile number (0-17) CCC = Collection number YYYYDDDHHMMSS = Production Date and Time , Citation: Zhengming Wan - University of California Santa Barbara, Simon Hook, Glynn Hulley - JPL and MODAPS SIPS - NASA. (2015). MOD11A2 MODIS/Terra Land Surface Temperature and the Emissivity 8-Day L3 Global 1km SIN Grid. NASA LP DAAC. http://doi.org/10.5067/MODIS/MOD11A2.006 , Keywords: Climate Change, Land Surface Temperature, Emissivity, Fires

  • These data are a copy of MODIS data from the NASA Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC). The copy is potentially only a subset. Below is the description from https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/MYD11A2 The level-3 MODIS Land Surface Temperature and Emissivity (LST/E) 8-day data products are composed of data from the daily 1-kilometer LST product (MYD11A1) and stored on a 1-km Sinusoidal grid as the average values of clear-sky LSTs during an 8-day period. MYD11A2 is comprised of daytime and nighttime LSTs, quality assurance assessment, observation times, view angles, bits of clear sky days and nights, and emissivities estimated in Bands 31 and 32 from land cover types. Collection-5 MODIS/Aqua Land Surface Temperature/Emissivity products are validated to Stage 2, which means that their accuracy has been assessed over a widely distributed set of locations and time periods via several ground-truth and validation efforts. Further details regarding MODIS land product validation for the LST/E products are available from the following URL: http://landval.gsfc.nasa.gov/ProductStatus.php?ProductID=MYD11. Shortname: MYD11A2 , Platform: Aqua , Instrument: MODIS , Processing Level: Level-3 , Spatial Resolution: 1 km , Temporal Resolution: 8 day , ArchiveSets: 6, 61 , Collection: MODIS Collection 6 (ArchiveSet 6) , PGE Number: PGE31 , File Naming Convention: MYD11A2.AYYYYDDD.hHHvVV.CCC.YYYYDDDHHMMSS.hdf YYYYDDD = Year and Day of Year of acquisition hHH = Horizontal tile number (0-35) vVV = Vertical tile number (0-17) CCC = Collection number YYYYDDDHHMMSS = Production Date and Time , Citation: Zhengming Wan - University of California Santa Barbara, Simon Hook, Glynn Hulley - JPL and MODAPS SIPS - NASA. (2015). MYD11A2 MODIS/Aqua Land Surface Temperature and the Emissivity 8-Day L3 Global 1km SIN Grid. NASA LP DAAC. http://doi.org/10.5067/MODIS/MYD11A2.006 , Keywords: Climate Change, Land Surface Temperature, Emissivity, Fires

  • This dataset comprises three gridded drought indicators based on remote sensing data for Europe. The data has a spatial resolution of 0.05 degree and a temporal resolution of 1 month for the period going from 2000 to 2015. The three drought indicators are: the Vegetation Condition Index (VCI) based on satellite product NDVI (Normalised Difference Vegetation Index); the Temperature Condition Index (TCI) based on remotely sensed LST (Land Surface Temperature); the Vegetation Health Index (VHI) which is a combination of VCI and TCI, calculated using MODIS products. Full details about this dataset can be found at https://doi.org/10.5285/4e0d0e50-2f9c-4647-864d-5c3b30bb5f4b

  • This dataset consists in a collection of remotely sensed drought indicators time series. The data was extracted from CEH's gridded remotely sensed drought indicators product (Tanguy et al., 2016; http://doi.org/10.5285/4e0d0e50-2f9c-4647-864d-5c3b30bb5f4b), which has gridded data for Europe for three drought indicators: - the Vegetation Condition Index (VCI) based on satellite product NDVI (Normalised Difference Vegetation Index); - the Temperature Condition Index (TCI) based on remotely sensed LST (Land Surface Temperature); - the Vegetation Health Index (VHI) which is a combination of VCI and TCI. These three drought indicators have been extracted for European NUTS regions (level 0, 1, 2 and 3). These have been masked with a land use land cover map to be able to study different responses for various land cover types. A simplified LULC was created, with only four classes: forest, crop, shrub and grass. One extra time series was created for all classes together. Full details about this dataset can be found at https://doi.org/10.5285/5b3fcf9f-19d4-4ad3-a8bb-0a5ea02c857e