PhenoCam images from ARSLTARMDCRRESW site, Caroline County, Maryland, USA since 2019
<p>This data set consists of repeat digital imagery from a tower-mounted digital camera (hereafter, PhenoCam) maintained by the USDA-ARS Hydrology Remote Sensing Laboratory (HRSL) in the Lower Chesapeake Bay (LCB) watershed. HRSL is a member of the PhenoCam network, which has as its mission to serve as a long-term, continental-scale, phenological observatory. Imagery is uploaded to the PhenoCam server every 30 minutes. The archived images provide a permanent record that can be visually-inspected to determine the phenological state of the vegetation at any point in time. Vegetation greenness metrics (e.g., GCC) derived from the ratio of the green color band to sum of red, green, and blue color bands serve as proxies for vegetation greenness. Greenness metrics can be extracted from the images using simple image processing methods in 1-day or 3-day increments.</p> <p>This dataset is available to the public and may be freely downloaded. Please keep the designated Contact person informed of any plans to use the dataset. Consultation or collaboration with the original investigators is strongly encouraged. Publications and data products that make use of the dataset must include proper acknowledgement.</p> <p>The development of PhenoCam has been supported by multiple entities. Those include the Northeastern States Research Cooperative, NSF’s Macrosystems Biology program (award EF-1065029), DOE’s Regional and Global Climate Modeling program (award DE-SC0016011), the US National Park Service Inventory and Monitoring Program, the USA National Phenology Network (grant number G10AP00129 from the United States Geological Survey), and is currently supported by the Department of Agriculture (USDA) Agricultural Research Service.</p> <p>This research was a contribution from the Long-Term Agroecosystem Research (LTAR) network. LTAR is supported by the United States Department of Agriculture (USDA) Agricultural Research Service.</p>
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Format: | Dataset biblioteca |
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2023
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Subjects: | Crop and pasture production, Climatology, Hydrology, Geomatic engineering, Photogrammetry and remote sensing, Environmental sciences, phenology, NP211, NP212, phenocam, long-term monitoring sites, LTAR, Choptank River, wetlands, primary productivity, data.gov, ARS, |
Online Access: | https://figshare.com/articles/dataset/PhenoCam_images_from_ARSLTARMDCRRESW_site_Caroline_County_Maryland_USA_since_2019/24856935 |
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dat-usda-us-article248569352023-04-25T00:00:00Z PhenoCam images from ARSLTARMDCRRESW site, Caroline County, Maryland, USA since 2019 Gregory W. McCarty (17478207) Peter M. Downey (17484669) William White (17362348) Crop and pasture production Climatology Hydrology Geomatic engineering Photogrammetry and remote sensing Environmental sciences phenology NP211 NP212 phenocam long-term monitoring sites LTAR Choptank River wetlands primary productivity data.gov ARS <p>This data set consists of repeat digital imagery from a tower-mounted digital camera (hereafter, PhenoCam) maintained by the USDA-ARS Hydrology Remote Sensing Laboratory (HRSL) in the Lower Chesapeake Bay (LCB) watershed. HRSL is a member of the PhenoCam network, which has as its mission to serve as a long-term, continental-scale, phenological observatory. Imagery is uploaded to the PhenoCam server every 30 minutes. The archived images provide a permanent record that can be visually-inspected to determine the phenological state of the vegetation at any point in time. Vegetation greenness metrics (e.g., GCC) derived from the ratio of the green color band to sum of red, green, and blue color bands serve as proxies for vegetation greenness. Greenness metrics can be extracted from the images using simple image processing methods in 1-day or 3-day increments.</p> <p>This dataset is available to the public and may be freely downloaded. Please keep the designated Contact person informed of any plans to use the dataset. Consultation or collaboration with the original investigators is strongly encouraged. Publications and data products that make use of the dataset must include proper acknowledgement.</p> <p>The development of PhenoCam has been supported by multiple entities. Those include the Northeastern States Research Cooperative, NSF’s Macrosystems Biology program (award EF-1065029), DOE’s Regional and Global Climate Modeling program (award DE-SC0016011), the US National Park Service Inventory and Monitoring Program, the USA National Phenology Network (grant number G10AP00129 from the United States Geological Survey), and is currently supported by the Department of Agriculture (USDA) Agricultural Research Service.</p> <p>This research was a contribution from the Long-Term Agroecosystem Research (LTAR) network. LTAR is supported by the United States Department of Agriculture (USDA) Agricultural Research Service.</p> 2023-04-25T00:00:00Z Dataset Dataset 10113/AA758813 https://figshare.com/articles/dataset/PhenoCam_images_from_ARSLTARMDCRRESW_site_Caroline_County_Maryland_USA_since_2019/24856935 U.S. Public Domain |
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Crop and pasture production Climatology Hydrology Geomatic engineering Photogrammetry and remote sensing Environmental sciences phenology NP211 NP212 phenocam long-term monitoring sites LTAR Choptank River wetlands primary productivity data.gov ARS |
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Crop and pasture production Climatology Hydrology Geomatic engineering Photogrammetry and remote sensing Environmental sciences phenology NP211 NP212 phenocam long-term monitoring sites LTAR Choptank River wetlands primary productivity data.gov ARS Gregory W. McCarty (17478207) Peter M. Downey (17484669) William White (17362348) PhenoCam images from ARSLTARMDCRRESW site, Caroline County, Maryland, USA since 2019 |
description |
<p>This data set consists of repeat digital imagery from a tower-mounted digital camera (hereafter, PhenoCam) maintained by the USDA-ARS Hydrology Remote Sensing Laboratory (HRSL) in the Lower Chesapeake Bay (LCB) watershed. HRSL is a member of the PhenoCam network, which has as its mission to serve as a long-term, continental-scale, phenological observatory. Imagery is uploaded to the PhenoCam server every 30 minutes. The archived images provide a permanent record that can be visually-inspected to determine the phenological state of the vegetation at any point in time. Vegetation greenness metrics (e.g., GCC) derived from the ratio of the green color band to sum of red, green, and blue color bands serve as proxies for vegetation greenness. Greenness metrics can be extracted from the images using simple image processing methods in 1-day or 3-day increments.</p>
<p>This dataset is available to the public and may be freely downloaded. Please keep the designated Contact person informed of any plans to use the dataset. Consultation or collaboration with the original investigators is strongly encouraged. Publications and data products that make use of the dataset must include proper acknowledgement.</p>
<p>The development of PhenoCam has been supported by multiple entities. Those include the Northeastern States Research Cooperative, NSF’s Macrosystems Biology program (award EF-1065029), DOE’s Regional and Global Climate Modeling program (award DE-SC0016011), the US National Park Service Inventory and Monitoring Program, the USA National Phenology Network (grant number G10AP00129 from the United States Geological Survey), and is currently supported by the Department of Agriculture (USDA) Agricultural Research Service.</p>
<p>This research was a contribution from the Long-Term Agroecosystem Research (LTAR) network. LTAR is supported by the United States Department of Agriculture (USDA) Agricultural Research Service.</p> |
format |
Dataset |
author |
Gregory W. McCarty (17478207) Peter M. Downey (17484669) William White (17362348) |
author_facet |
Gregory W. McCarty (17478207) Peter M. Downey (17484669) William White (17362348) |
author_sort |
Gregory W. McCarty (17478207) |
title |
PhenoCam images from ARSLTARMDCRRESW site, Caroline County, Maryland, USA since 2019 |
title_short |
PhenoCam images from ARSLTARMDCRRESW site, Caroline County, Maryland, USA since 2019 |
title_full |
PhenoCam images from ARSLTARMDCRRESW site, Caroline County, Maryland, USA since 2019 |
title_fullStr |
PhenoCam images from ARSLTARMDCRRESW site, Caroline County, Maryland, USA since 2019 |
title_full_unstemmed |
PhenoCam images from ARSLTARMDCRRESW site, Caroline County, Maryland, USA since 2019 |
title_sort |
phenocam images from arsltarmdcrresw site, caroline county, maryland, usa since 2019 |
publishDate |
2023 |
url |
https://figshare.com/articles/dataset/PhenoCam_images_from_ARSLTARMDCRRESW_site_Caroline_County_Maryland_USA_since_2019/24856935 |
work_keys_str_mv |
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_version_ |
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