cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8280764
title: ELITE emissivity: Landsat NBE over China (2012.7)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the ELITE Landsat narrowband (NBE) emissivity dataset (Landsat7 Channel 6) over the continental United States (Cheng et al. 2021). For the non-vegetated surfaces, the LSEs were estimated using an empirical method that establishes the linkages between the ASTER NBE product and the Landsat SR product. For the vegetated surfaces, the LSEs were derived by using the 4SAIL model established lookup table (LUT) provided with the NBE of the leaf emissivity, soil background emissivity, and leaf area index (LAI). This is the ELITE Landsat NBE dataset from Landsat 7 in July 2012. Please <strong><em>click here</em></strong> to download the ELITE Landsat NBE dataset from Landsat 7 in January 2012. <strong>Dataset Characteristics:</strong> Spatial Coverage: China Temporal Coverage: 2012.7 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.001 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Cheng, J., Meng, X., Dong, S., & Liang, S. (2021). Generating the 30-m land surface temperature product over continental China and USA from landsat 5/7/8 data. Science of Remote Sensing, 4, 100032 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.8280762
title: ELITE emissivity: Landsat NBE over China (2012.1)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the ELITE Landsat narrowband (NBE) emissivity dataset (Landsat7 Channel 6) over the continental United States (Cheng et al. 2021). For the non-vegetated surfaces, the LSEs were estimated using an empirical method that establishes the linkages between the ASTER NBE product and the Landsat SR product. For the vegetated surfaces, the LSEs were derived by using the 4SAIL model established lookup table (LUT) provided with the NBE of the leaf emissivity, soil background emissivity, and leaf area index (LAI). This is the ELITE Landsat NBE dataset from Landsat 7 in January 2012. Please <strong><em>click here</em></strong> to download the ELITE Landsat NBE dataset from Landsat 7 in July 2012. <strong>Dataset Characteristics:</strong> Spatial Coverage: China Temporal Coverage: 2012.1 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.001 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Cheng, J., Meng, X., Dong, S., & Liang, S. (2021). Generating the 30-m land surface temperature product over continental China and USA from landsat 5/7/8 data. Science of Remote Sensing, 4, 100032 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.8280761
title: ELITE emissivity: Landsat NBE over China (2012.1)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the ELITE Landsat narrowband (NBE) emissivity dataset (Landsat7 Channel 6) over the continental United States (Cheng et al. 2021). For the non-vegetated surfaces, the LSEs were estimated using an empirical method that establishes the linkages between the ASTER NBE product and the Landsat SR product. For the vegetated surfaces, the LSEs were derived by using the 4SAIL model established lookup table (LUT) provided with the NBE of the leaf emissivity, soil background emissivity, and leaf area index (LAI). This is the ELITE Landsat NBE dataset from Landsat 7 in January 2012. Please <strong><em>click here</em></strong> to download the ELITE Landsat NBE dataset from Landsat 7 in July 2012. <strong>Dataset Characteristics:</strong> Spatial Coverage: China Temporal Coverage: 2012.1 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.001 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Cheng, J., Meng, X., Dong, S., & Liang, S. (2021). Generating the 30-m land surface temperature product over continental China and USA from landsat 5/7/8 data. Science of Remote Sensing, 4, 100032 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.2909/21807826-d6ef-4aaa-b9c1-2cd1691ba966
title: High Resolution Vegetation Phenology and Productivity: end-of-season date (raster 10m), Sept. 2021

description: The End-of-Season Date (EOSD), one of the Vegetation Phenology and Productivity (VPP) parameters, is a product of the pan-European High Resolution Vegetation Phenology and Productivity (HR-VPP) component of the Copernicus Land Monitoring Service (CLMS). The End-of-Season Date (EOSD) marks the date when the vegetation growing season ends in the time profile of the Plant Phenology Index (PPI). The end-of-season occurs, by definition, when the PPI value reaches 15% of the season amplitude during the green-down period. The Plant Phenology Index (PPI) is a physically based vegetation index, developed for improving the monitoring of the vegetation growth cycle. The PPI index values, with 5-day satellite revisit cycle, are first used in a function fitting to derive the PPI Seasonal Trajectories, which is a filtered time series with regular 10-day time step. From these Seasonal Trajectories, a suite of 13 Vegetation Phenology and Productivity (VPP) parameters are then computed and provided, for up to two seasons each year. The End-of-Season Date is one of the 13 parameters. The full list is available in the table 3 of the Product User Manual https://land.copernicus.eu/user-corner/technical-library/product-user-manual-of-seasonal-trajectories/ A complementary quality indicator (QFLAG) provides a confidence level, that is described in table 4 of the same manual. The EOSD dataset is made available as raster files with 10 x 10m resolution, in UTM/WGS84 projection corresponding to the Sentinel-2 tiling grid, for those tiles that cover the EEA38 countries and the United Kingdom and for two seasons in each year from 2017 onwards. It is updated in the first quarter of each year.
DOI: 10.2909/50c90c7c-2e1c-4894-8c0d-b9e1ec4457c6
title: End-of-season Value 2017-present (raster 10 m), Europe, yearly, Sept. 2021

description: The End-of-Season Value (EOSV), one of the Vegetation Phenology and Productivity (VPP) parameters, is a product of the pan-European High Resolution Vegetation Phenology and Productivity (HR-VPP) component of the Copernicus Land Monitoring Service (CLMS). The End-of-Season Value (EOSV) provides the value of the Plant Phenology Index (PPI) at the end of the vegetation growing season. The Plant Phenology Index (PPI) is a physically based vegetation index, developed for improving the monitoring of the vegetation growth cycle. The PPI index values, with 5-day satellite revisit cycle, are first used in a function fitting to derive the PPI Seasonal Trajectories, which is a filtered time series with regular 10-day time step. From these Seasonal Trajectories, a suite of 13 Vegetation Phenology and Productivity (VPP) parameters are then computed and provided, for up to two seasons each year. The End-of-Season Value is one of the 13 parameters. The full list is available in the table 3 of the Product User Manual https://land.copernicus.eu/user-corner/technical-library/product-user-manual-of-seasonal-trajectories/. A complementary quality indicator (QFLAG) provides a confidence level, that is described in table 4 of the same manual. The EOSV dataset is made available as raster files with 10 x 10m resolution, in UTM/WGS84 projection corresponding to the Sentinel-2 tiling grid, for those tiles that cover the EEA38 countries and the United Kingdom and for two seasons in each year from 2017 onwards. It is updated in the first quarter of each year.
DOI: 10.5281/zenodo.8296897
title: METADATA DESCRIPTION SKIVE

description: This dataset has been collected in context of the domOS H2020 project (https://www.domos-project.eu/). The dataset includes data about 12 homes of which 10 are family houses and the rest are community buildings. The Skive Living Lab is founded on 2 different platforms. SUNTHERM SmartHeat heating systems, where NEOGRID have a very detailed data level. And ‘legacy’ systems, where existing heating systems are retrofitted with a NEOGRID gateway to collect data.<br> The heating distribution systems have been upgraded to enable control of the indoor climate on room level. Either by replacing traditional thermostats with Smart Thermostats, or by interfacing with under floor heating controllers. Some buildings are fitted with both Smart Thermostats and underfloor heating.
DOI: 10.5281/zenodo.8296898
title: METADATA DESCRIPTION SKIVE

description: This dataset has been collected in context of the domOS H2020 project (https://www.domos-project.eu/). The dataset includes data about 12 homes of which 10 are family houses and the rest are community buildings. The Skive Living Lab is founded on 2 different platforms. SUNTHERM SmartHeat heating systems, where NEOGRID have a very detailed data level. And ‘legacy’ systems, where existing heating systems are retrofitted with a NEOGRID gateway to collect data.<br> The heating distribution systems have been upgraded to enable control of the indoor climate on room level. Either by replacing traditional thermostats with Smart Thermostats, or by interfacing with under floor heating controllers. Some buildings are fitted with both Smart Thermostats and underfloor heating.
DOI: 10.2909/430c008c-7298-473e-a4b0-7c0a287446a6
title: Season Length 2017-present (raster 10 m), Europe, yearly, Sept. 2021

description: The Season Length (LENGTH), one of the Vegetation Phenology and Productivity (VPP) parameters, is a product of the pan-European High Resolution Vegetation Phenology and Productivity (HR-VPP) component of the Copernicus Land Monitoring Service (CLMS). The Season Length is the number of days between the start and end dates of the vegetation growing season in the time profile of the Plant Phenology Index (PPI). The Plant Phenology Index (PPI) is a physically based vegetation index, developed for improving the monitoring of the vegetation growth cycle. The PPI index values, with 5-day satellite revisit cycle, are first used in a function fitting to derive the PPI Seasonal Trajectories, which is a filtered time series with regular 10-day time step. From these Seasonal Trajectories, a suite of 13 Vegetation Phenology and Productivity (VPP) parameters are then computed and provided, for up to two seasons each year. The Season Length is one of the 13 parameters. The full list is available in the table 3 of the Product User Manual https://land.copernicus.eu/user-corner/technical-library/product-user-manual-of-seasonal-trajectories/ A complementary quality indicator (QFLAG) provides a confidence level, that is described in table 4 of the same manual. The LENGTH dataset is made available as raster files with 10 x 10m resolution, in UTM/WGS84 projection corresponding to the Sentinel-2 tiling grid, for those tiles that cover the EEA38 countries and the United Kingdom and for two seasons in each year from 2017 onwards. It is updated in the first quarter of each year.
DOI: 10.5281/zenodo.8280767
title: ELITE emissivity: Landsat NBE over China (2014.1)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the ELITE Landsat narrowband (NBE) emissivity dataset (Landsat8 Channel 10) over the continental United States (Cheng et al. 2021). For the non-vegetated surfaces, the LSEs were estimated using an empirical method that establishes the linkages between the ASTER NBE product and the Landsat SR product. For the vegetated surfaces, the LSEs were derived by using the 4SAIL model established lookup table (LUT) provided with the NBE of the leaf emissivity, soil background emissivity, and leaf area index (LAI). This is the ELITE Landsat NBE dataset from Landsat 8 in January 2014. Please <strong><em>click here</em></strong> to download the ELITE Landsat NBE dataset from Landsat 8 in July 2014. <strong>Dataset Characteristics:</strong> Spatial Coverage: China Temporal Coverage: 2014.1 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.001 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Cheng, J., Meng, X., Dong, S., & Liang, S. (2021). Generating the 30-m land surface temperature product over continental China and USA from landsat 5/7/8 data. Science of Remote Sensing, 4, 100032 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.8280766
title: ELITE emissivity: Landsat NBE over China (2014.1)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the ELITE Landsat narrowband (NBE) emissivity dataset (Landsat8 Channel 10) over the continental United States (Cheng et al. 2021). For the non-vegetated surfaces, the LSEs were estimated using an empirical method that establishes the linkages between the ASTER NBE product and the Landsat SR product. For the vegetated surfaces, the LSEs were derived by using the 4SAIL model established lookup table (LUT) provided with the NBE of the leaf emissivity, soil background emissivity, and leaf area index (LAI). This is the ELITE Landsat NBE dataset from Landsat 8 in January 2014. Please <strong><em>click here</em></strong> to download the ELITE Landsat NBE dataset from Landsat 8 in July 2014. <strong>Dataset Characteristics:</strong> Spatial Coverage: China Temporal Coverage: 2014.1 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.001 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Cheng, J., Meng, X., Dong, S., & Liang, S. (2021). Generating the 30-m land surface temperature product over continental China and USA from landsat 5/7/8 data. Science of Remote Sensing, 4, 100032 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.2909/a1db49f0-1ca1-40fe-8307-16f8f8e38a0f
title: Season Minimum Value 2017-present (raster 10 m), Europe, yearly, Sept. 2021

description: The Minimum Value (MINV), one of the Vegetation Phenology and Productivity (VPP) parameters, is a product of the pan-European High Resolution Vegetation Phenology and Productivity (HR-VPP) component of the Copernicus Land Monitoring Service (CLMS). The Minimum Value (MINV) is the average Plant Phenology Index (PPI) value of the minima before the growing season. The Plant Phenology Index (PPI) is a physically based vegetation index, developed for improving the monitoring of the vegetation growth cycle. The PPI index values, with 5-day satellite revisit cycle, are first used in a function fitting to derive the PPI Seasonal Trajectories, which is a filtered time series with regular 10-day time step. From these Seasonal Trajectories, a suite of 13 Vegetation Phenology and Productivity (VPP) parameters are then computed and provided, for up to two seasons each year. The Minimum Value is one of the 13 parameters. The full list is available in the table 3 of the Product User Manual https://land.copernicus.eu/user-corner/technical-library/product-user-manual-of-seasonal-trajectories/ A complementary quality indicator (QFLAG) provides a confidence level, that is described in table 4 of the same manual. The MINV dataset is made available as raster files with 10 x 10m resolution, in UTM/WGS84 projection corresponding to the Sentinel-2 tiling grid, for those tiles that cover the EEA38 countries and the United Kingdom and for two seasons in each year from 2017 onwards. It is updated in the first quarter of each year.
DOI: 10.5281/zenodo.8280769
title: ELITE emissivity: Landsat NBE over China (2014.7)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the ELITE Landsat narrowband (NBE) emissivity dataset (Landsat8 Channel 10) over the continental United States (Cheng et al. 2021). For the non-vegetated surfaces, the LSEs were estimated using an empirical method that establishes the linkages between the ASTER NBE product and the Landsat SR product. For the vegetated surfaces, the LSEs were derived by using the 4SAIL model established lookup table (LUT) provided with the NBE of the leaf emissivity, soil background emissivity, and leaf area index (LAI). This is the ELITE Landsat NBE dataset from Landsat 8 in July 2014. Please <strong><em>click here</em></strong> to download the ELITE Landsat NBE dataset from Landsat 8 in January 2014. <strong>Dataset Characteristics:</strong> Spatial Coverage: China Temporal Coverage: 2014.7 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.001 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Cheng, J., Meng, X., Dong, S., & Liang, S. (2021). Generating the 30-m land surface temperature product over continental China and USA from landsat 5/7/8 data. Science of Remote Sensing, 4, 100032 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.8280768
title: ELITE emissivity: Landsat NBE over China (2014.7)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the ELITE Landsat narrowband (NBE) emissivity dataset (Landsat8 Channel 10) over the continental United States (Cheng et al. 2021). For the non-vegetated surfaces, the LSEs were estimated using an empirical method that establishes the linkages between the ASTER NBE product and the Landsat SR product. For the vegetated surfaces, the LSEs were derived by using the 4SAIL model established lookup table (LUT) provided with the NBE of the leaf emissivity, soil background emissivity, and leaf area index (LAI). This is the ELITE Landsat NBE dataset from Landsat 8 in July 2014. Please <strong><em>click here</em></strong> to download the ELITE Landsat NBE dataset from Landsat 8 in January 2014. <strong>Dataset Characteristics:</strong> Spatial Coverage: China Temporal Coverage: 2014.7 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.001 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Cheng, J., Meng, X., Dong, S., & Liang, S. (2021). Generating the 30-m land surface temperature product over continental China and USA from landsat 5/7/8 data. Science of Remote Sensing, 4, 100032 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).