Conference paper Open Access
Kavats, Olena; Khramov, Dmitriy; Sergieieva, Kateryna
{ "files": [ { "links": { "self": "https://zenodo.org/api/files/c4097ff6-4e0a-4d8f-891d-b918c8dfb7c5/BGS_GeoSciences2020_EOS.pdf" }, "checksum": "md5:61df46b7a7cce24433100f8dfe9e01c5", "bucket": "c4097ff6-4e0a-4d8f-891d-b918c8dfb7c5", "key": "BGS_GeoSciences2020_EOS.pdf", "type": "pdf", "size": 265472 } ], "owners": [ 135365 ], "doi": "10.5281/zenodo.5509029", "stats": { "version_unique_downloads": 51.0, "unique_views": 57.0, "views": 67.0, "version_views": 67.0, "unique_downloads": 51.0, "version_unique_views": 57.0, "volume": 14866432.0, "version_downloads": 56.0, "downloads": 56.0, "version_volume": 14866432.0 }, "links": { "doi": "https://doi.org/10.5281/zenodo.5509029", "conceptdoi": "https://doi.org/10.5281/zenodo.5509028", "bucket": "https://zenodo.org/api/files/c4097ff6-4e0a-4d8f-891d-b918c8dfb7c5", "conceptbadge": "https://zenodo.org/badge/doi/10.5281/zenodo.5509028.svg", "html": "https://zenodo.org/record/5509029", "latest_html": "https://zenodo.org/record/5509029", "badge": "https://zenodo.org/badge/doi/10.5281/zenodo.5509029.svg", "latest": "https://zenodo.org/api/records/5509029" }, "conceptdoi": "10.5281/zenodo.5509028", "created": "2021-09-15T08:21:43.052695+00:00", "updated": "2021-09-15T13:48:22.441938+00:00", "conceptrecid": "5509028", "revision": 3, "id": 5509029, "metadata": { "access_right_category": "success", "doi": "10.5281/zenodo.5509029", "description": "<p>Nowadays there are many algorithms for statistical downscaling of land surface temperature (LST) that can improve the spatial resolution of this data (Zhan et al., 2013). The problem of existing algorithms is the necessity to select features and adjust the algorithm parameters depending on land surface classes present in the image. The objective was to develop an algorithm for downscaling land surface temperature with parameters minimally dependent on the land surface classes.</p>", "license": { "id": "CC-BY-4.0" }, "title": "Algorithm for statistical downscaling of land surface temperature using ElasticNet", "relations": { "version": [ { "count": 1, "index": 0, "parent": { "pid_type": "recid", "pid_value": "5509028" }, "is_last": true, "last_child": { "pid_type": "recid", "pid_value": "5509029" } } ] }, "communities": [ { "id": "goldeneye-h2020" } ], "grants": [ { "code": "869398", "links": { "self": "https://zenodo.org/api/grants/10.13039/501100000780::869398" }, "title": "Earth observation and Earth GNSS data acquisition and processing platform for safe, sustainable and cost-efficient mining operations", "acronym": "Goldeneye", "program": "H2020", "funder": { "doi": "10.13039/501100000780", "acronyms": [], "name": "European Commission", "links": { "self": "https://zenodo.org/api/funders/10.13039/501100000780" } } } ], "keywords": [ "Land Surface Temperature downscaling", "Landsat-8", "ElasticNet" ], "publication_date": "2021-09-15", "creators": [ { "affiliation": "Earth Observing System, 1906 El Camino Real, Suite 201, Menlo Park, CA 94027, USA", "name": "Kavats, Olena" }, { "affiliation": "Earth Observing System, 1906 El Camino Real, Suite 201, Menlo Park, CA 94027, USA", "name": "Khramov, Dmitriy" }, { "affiliation": "Earth Observing System, 1906 El Camino Real, Suite 201, Menlo Park, CA 94027, USA", "name": "Sergieieva, Kateryna" } ], "meeting": { "dates": "December 3\u20134, 2020", "place": "Sofia University \"St. Kliment Ohridski\"", "title": "Scientific conference with international participation \"GEOSCIENCES 2020\"" }, "access_right": "open", "resource_type": { "subtype": "conferencepaper", "type": "publication", "title": "Conference paper" }, "related_identifiers": [ { "scheme": "doi", "identifier": "10.5281/zenodo.5509028", "relation": "isVersionOf" } ] } }
All versions | This version | |
---|---|---|
Views | 67 | 67 |
Downloads | 56 | 56 |
Data volume | 14.9 MB | 14.9 MB |
Unique views | 57 | 57 |
Unique downloads | 51 | 51 |