Need and vision for global medium-resolution Landsat and Sentinel-2 data products
Global changes in climate and land use are threatening natural ecosystems, biodiversity, and the ecosystem services people rely on. This is why it is necessary to track and monitor spatiotemporal change at a level of detail that can inform science, management, and policy development. The current con...
Published in: | Remote Sensing of Environment |
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2024
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Online Access: | https://publications.jrc.ec.europa.eu/repository/handle/JRC135084 https://www.sciencedirect.com/science/article/pii/S0034425723004704 https://doi.org/10.1016/j.rse.2023.113918 |
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ftjrc:oai:publications.jrc.ec.europa.eu:JRC135084 2024-09-15T18:12:32+00:00 Need and vision for global medium-resolution Landsat and Sentinel-2 data products RADELOFF Volker ROY David WULDER Michael ANDERSON Martha COOK Bruce CRAWFORD Chris FRIEDL Mark A. GAO Feng GORELICK Noel HANSEN Matthew C. HEALEY Sean HOSTERT Patrick HULLEY Glynn HUNTINGTION Justin JOHNSON David NEIGH Chris LYAPUSTIN Alexei LYMBURNER Leo PAHLEVAN Nima PEKEL Jean-François SCAMBOS Theodore SCHAAF Crystal STROBL Peter WOODCOCK Curtis ZHANG Hankui ZHU Zhe 2024 Online https://publications.jrc.ec.europa.eu/repository/handle/JRC135084 https://www.sciencedirect.com/science/article/pii/S0034425723004704 https://doi.org/10.1016/j.rse.2023.113918 eng eng ELSEVIER SCIENCE INC JRC135084 2024 ftjrc https://doi.org/10.1016/j.rse.2023.113918 2024-07-08T23:40:34Z Global changes in climate and land use are threatening natural ecosystems, biodiversity, and the ecosystem services people rely on. This is why it is necessary to track and monitor spatiotemporal change at a level of detail that can inform science, management, and policy development. The current constellation of multiple Landsat and Sentinel-2 satellites collecting imagery at predominantly ≤30-m spatial resolution affords an opportunity for the generation of global medium- resolution products every few days. Our goal is to both identify the information needs and provide direction towards the generation of a suite of global, high-level, systematically-generated, medium-resolution products designed for both management and science. Our vision builds on the success of the NASA MODIS/VIIRS product suite, while recognizing the unique strengths of medium-resolution satellite data given their higher spatial resolution and longer time series. We propose a suite of 13 essential products that enable the characterization of the current state and changes in the biosphere, cryosphere, and hydrosphere, and would fill information needs identified by the Committee on Earth Observation Satellites for the Global Climate Observing System and the Global Terrestrial Observing System, by the National Research Council of the US National Academies in the decadal survey, and by others. These products are: land cover, land cover change, burned area, forest loss, vegetation indices, phenology, dynamic habitat indices, albedo, land surface temperature, snow cover, ice extent, surface water extent, and evapotranspiration. Furthermore, we provide a list of desirable products poised for addition to the essential products (e.g., crop type, emissivity, and ice sheet velocity). Lastly, we suggest aspirational products requiring further algorithm development (e.g., forest structure and crop yield). For the identified essential products, algorithms are in place, making it feasible to begin generating products systematically. These products should ... Other/Unknown Material Ice Sheet Joint Research Centre, European Commission: JRC Publications Repository Remote Sensing of Environment 300 113918 |
institution |
Open Polar |
collection |
Joint Research Centre, European Commission: JRC Publications Repository |
op_collection_id |
ftjrc |
language |
English |
description |
Global changes in climate and land use are threatening natural ecosystems, biodiversity, and the ecosystem services people rely on. This is why it is necessary to track and monitor spatiotemporal change at a level of detail that can inform science, management, and policy development. The current constellation of multiple Landsat and Sentinel-2 satellites collecting imagery at predominantly ≤30-m spatial resolution affords an opportunity for the generation of global medium- resolution products every few days. Our goal is to both identify the information needs and provide direction towards the generation of a suite of global, high-level, systematically-generated, medium-resolution products designed for both management and science. Our vision builds on the success of the NASA MODIS/VIIRS product suite, while recognizing the unique strengths of medium-resolution satellite data given their higher spatial resolution and longer time series. We propose a suite of 13 essential products that enable the characterization of the current state and changes in the biosphere, cryosphere, and hydrosphere, and would fill information needs identified by the Committee on Earth Observation Satellites for the Global Climate Observing System and the Global Terrestrial Observing System, by the National Research Council of the US National Academies in the decadal survey, and by others. These products are: land cover, land cover change, burned area, forest loss, vegetation indices, phenology, dynamic habitat indices, albedo, land surface temperature, snow cover, ice extent, surface water extent, and evapotranspiration. Furthermore, we provide a list of desirable products poised for addition to the essential products (e.g., crop type, emissivity, and ice sheet velocity). Lastly, we suggest aspirational products requiring further algorithm development (e.g., forest structure and crop yield). For the identified essential products, algorithms are in place, making it feasible to begin generating products systematically. These products should ... |
author |
RADELOFF Volker ROY David WULDER Michael ANDERSON Martha COOK Bruce CRAWFORD Chris FRIEDL Mark A. GAO Feng GORELICK Noel HANSEN Matthew C. HEALEY Sean HOSTERT Patrick HULLEY Glynn HUNTINGTION Justin JOHNSON David NEIGH Chris LYAPUSTIN Alexei LYMBURNER Leo PAHLEVAN Nima PEKEL Jean-François SCAMBOS Theodore SCHAAF Crystal STROBL Peter WOODCOCK Curtis ZHANG Hankui ZHU Zhe |
spellingShingle |
RADELOFF Volker ROY David WULDER Michael ANDERSON Martha COOK Bruce CRAWFORD Chris FRIEDL Mark A. GAO Feng GORELICK Noel HANSEN Matthew C. HEALEY Sean HOSTERT Patrick HULLEY Glynn HUNTINGTION Justin JOHNSON David NEIGH Chris LYAPUSTIN Alexei LYMBURNER Leo PAHLEVAN Nima PEKEL Jean-François SCAMBOS Theodore SCHAAF Crystal STROBL Peter WOODCOCK Curtis ZHANG Hankui ZHU Zhe Need and vision for global medium-resolution Landsat and Sentinel-2 data products |
author_facet |
RADELOFF Volker ROY David WULDER Michael ANDERSON Martha COOK Bruce CRAWFORD Chris FRIEDL Mark A. GAO Feng GORELICK Noel HANSEN Matthew C. HEALEY Sean HOSTERT Patrick HULLEY Glynn HUNTINGTION Justin JOHNSON David NEIGH Chris LYAPUSTIN Alexei LYMBURNER Leo PAHLEVAN Nima PEKEL Jean-François SCAMBOS Theodore SCHAAF Crystal STROBL Peter WOODCOCK Curtis ZHANG Hankui ZHU Zhe |
author_sort |
RADELOFF Volker |
title |
Need and vision for global medium-resolution Landsat and Sentinel-2 data products |
title_short |
Need and vision for global medium-resolution Landsat and Sentinel-2 data products |
title_full |
Need and vision for global medium-resolution Landsat and Sentinel-2 data products |
title_fullStr |
Need and vision for global medium-resolution Landsat and Sentinel-2 data products |
title_full_unstemmed |
Need and vision for global medium-resolution Landsat and Sentinel-2 data products |
title_sort |
need and vision for global medium-resolution landsat and sentinel-2 data products |
publisher |
ELSEVIER SCIENCE INC |
publishDate |
2024 |
url |
https://publications.jrc.ec.europa.eu/repository/handle/JRC135084 https://www.sciencedirect.com/science/article/pii/S0034425723004704 https://doi.org/10.1016/j.rse.2023.113918 |
genre |
Ice Sheet |
genre_facet |
Ice Sheet |
op_relation |
JRC135084 |
op_doi |
https://doi.org/10.1016/j.rse.2023.113918 |
container_title |
Remote Sensing of Environment |
container_volume |
300 |
container_start_page |
113918 |
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1810450114808905728 |