{"dp_type": "Project", "free_text": "3 HOUR"}
[{"awards": "1834986 Ballard, Grant", "bounds_geometry": "POLYGON((165 -77,165.5 -77,166 -77,166.5 -77,167 -77,167.5 -77,168 -77,168.5 -77,169 -77,169.5 -77,170 -77,170 -77.1,170 -77.2,170 -77.3,170 -77.4,170 -77.5,170 -77.6,170 -77.7,170 -77.8,170 -77.9,170 -78,169.5 -78,169 -78,168.5 -78,168 -78,167.5 -78,167 -78,166.5 -78,166 -78,165.5 -78,165 -78,165 -77.9,165 -77.8,165 -77.7,165 -77.6,165 -77.5,165 -77.4,165 -77.3,165 -77.2,165 -77.1,165 -77))", "dataset_titles": "Orthomosaics of Ross Island Penguin Colonies 2019 - 2021", "datasets": [{"dataset_uid": "601612", "doi": "10.15784/601612", "keywords": "Aerial Imagery; Aerial Survey; Antarctica; Biota; Geotiff; Penguin; Photo/video; Photo/Video; Population Count; Ross Island; UAV", "people": "Ballard, Grant; Schmidt, Annie; Shah, Kunal", "repository": "USAP-DC", "science_program": null, "title": "Orthomosaics of Ross Island Penguin Colonies 2019 - 2021", "url": "https://www.usap-dc.org/view/dataset/601612"}], "date_created": "Wed, 12 May 2021 00:00:00 GMT", "description": "New methodologies for the deployment of coordinated unmanned aerial vehicles will be developed with the aim of attaining whole-colony imagery that can be used to characterize nesting habitats of Adelie penguins at Cape Crozier, on Ross Island, Antarctica. This information will be used to test hypotheses regarding relationships between terrain characteristics, nesting density, and breeding success. This population, potentially the largest in the world and at the southern limit of the species\u0027 range, has doubled in size over the past 20 years while most other colonies in the region have remained stable or declined. New information gained from this project will be useful in understanding the potential ofclimate-driven changes in terrestrial nesting habitats for impacting Adelie penguins in the future. The project will produce, and document, open-source software tools to help automate image processing for automated counting of Adelie penguins. The project will train graduate and undergraduate students and contribute materials to ongoing educational outreach programs based on related penguin science projects. Information gained from this project will contribute towards building robust, cost-effective protocols for monitoring Adelie penguin populations, a key ecosystem indicator identified in the draft Ross Sea Marine Protected Area Research and Monitoring Plan. Adelie penguins are important indicators of ecosystem function and change in the Southern Ocean. In addition to facing rapid changes in sea ice and other factors in their pelagic environment, their terrestrial nesting habitat is also changing. Understanding the species\u0027 response to such changes is critical for assessing its ability to adapt to the changing climate. The objective of this project is to test several hypotheses about the influence of fine-scale nesting habitat, nest density, and breeding success of Adelie penguins in the Ross Sea region. To accomplish this, the project will develop algorithms to improve efficiency and safety of surveys by unmanned aerial systems and develop and disseminate an automated image processing workflow. Images collected during several UAV surveys will be used to estimate the number of nesting adults and chicks produced, as well as estimate nesting density in different parts of two colonies on Ross Island, Antarctica, that differ in size by two orders of magnitude. Imagery will be used to generate high resolution digital surface/elevation models that will allow terrain variables like flood risk and terrain complexity to be derived. Combining the surface model with the nest and chick counts at the two colonies will provide relationships between habitat covariates, nest density, and breeding success. The approaches developed will enable Adelie penguin population sizes and potentially several other indicators in the Ross Sea Marine Protected Area Research and Monitoring Plan to be determined and evaluated. The flight control algorithms developed have the potential to be used for many types of surveys, especially when large areas need to be covered in a short period with extreme weather potential and difficult landing options. Aerial images and video will be used to create useable materials to be included in outreach and educational programs. The automated image processing workflow and classification models will be developed as open source software and will be made freely available for others addressing similar wildlife monitoring challenges. This award reflects NSF\u0027s statutory mission and has been deemed worthy of support through evaluation using the Foundation\u0027s intellectual merit and broader impacts review criteria.", "east": 170.0, "geometry": "POINT(167.5 -77.5)", "instruments": null, "is_usap_dc": true, "keywords": "UAS; Ross Island; USA/NSF; FIELD INVESTIGATION; AMD; UAV; MARINE ECOSYSTEMS; USAP-DC; Amd/Us; Penguin", "locations": "Ross Island", "north": -77.0, "nsf_funding_programs": "Antarctic Organisms and Ecosystems", "paleo_time": null, "persons": "Ballard, Grant; Schmidt, Annie; Schwager, Mac; McKown, Matthew", "platforms": "LAND-BASED PLATFORMS \u003e FIELD SITES \u003e FIELD INVESTIGATION", "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -78.0, "title": "Does Nest Density Matter? Using Novel Technology to Collect Whole-colony Data on Adelie Penguins.", "uid": "p0010178", "west": 165.0}, {"awards": "0337948 Bromwich, David", "bounds_geometry": "POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))", "dataset_titles": "Access to data", "datasets": [{"dataset_uid": "001778", "doi": "", "keywords": null, "people": null, "repository": "PI website", "science_program": null, "title": "Access to data", "url": "http://polarmet.mps.ohio-state.edu/PolarMet/ant_hindcast.html"}], "date_created": "Thu, 02 Aug 2007 00:00:00 GMT", "description": "This award supports a comprehensive investigation of the spatial and temporal characteristics of the surface mass balance of the Antarctic ice sheet and the governing mechanisms that affect it. A mesoscale atmospheric model, adapted for Antarctic conditions (Polar MM5), will be used in conjunction with the newly available reanalysis from the European Centre for Medium-Range Weather Forecasts (ECMWF) to resolve the surface mass balance of Antarctica at a time resolution of 3 hours and a spatial resolution of 60 km from 1957 to 2001. Polar MM5 will be upgraded to account for key processes in the simulation, including explicit consideration of blowing snow transport and sublimation as well as surface melting/runoff. The proposed 45-y hindcast of all Antarctic surface mass balance components with a limited area model has not previously been attempted and will provide a dataset of unprecedented scope to complement existing ice core measurements of recent climate, especially those collected by the International Transantarctic Scientific Expedition (ITASE). The trends and variability in space and time over 4.5 decades will be resolved and the impact of the dominant modes of atmospheric variability (Antarctic Oscillation, El Nino-Southern Oscillation, etc.) will be isolated. Hypotheses concerning the Antarctic surface mass balance response to climate change will be tested. The research will provide a sound basis for evaluating the impact of future climate change on Antarctic surface mass balance and its contribution to global sea level change as well as providing an important perspective for the interpretation of Antarctic ice core records. The broader impacts include the education of a Ph.D. student, the development of material for use in university classes, and construction of an interactive educational webpage on Antarctic surface mass balance.", "east": 180.0, "geometry": "POINT(0 -89.999)", "instruments": "IN SITU/LABORATORY INSTRUMENTS \u003e RECORDERS/LOGGERS \u003e MMS", "is_usap_dc": false, "keywords": "El Nino-Southern Oscillation; ITASE; Atmospheric Model; Enso; Not provided; Antarctic Oscillation; Mesoscale; Antarctic; Polar Mm5; Climate", "locations": "Antarctic", "north": -60.0, "nsf_funding_programs": "Antarctic Glaciology", "paleo_time": null, "persons": "Bromwich, David; Monaghan, Andrew", "platforms": "Not provided", "repo": "PI website", "repositories": "PI website", "science_programs": null, "south": -90.0, "title": "A 45-Y Hindcast of Antarctic Surface Mass Balance Using Polar MM5", "uid": "p0000722", "west": -180.0}]
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| Project Title/Abstract/Map | NSF Award(s) | Date Created | PIs / Scientists | Dataset Links and Repositories | Abstract | Bounds Geometry | Geometry | Selected | Visible | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Does Nest Density Matter? Using Novel Technology to Collect Whole-colony Data on Adelie Penguins.
|
1834986 |
2021-05-12 | Ballard, Grant; Schmidt, Annie; Schwager, Mac; McKown, Matthew |
|
New methodologies for the deployment of coordinated unmanned aerial vehicles will be developed with the aim of attaining whole-colony imagery that can be used to characterize nesting habitats of Adelie penguins at Cape Crozier, on Ross Island, Antarctica. This information will be used to test hypotheses regarding relationships between terrain characteristics, nesting density, and breeding success. This population, potentially the largest in the world and at the southern limit of the species' range, has doubled in size over the past 20 years while most other colonies in the region have remained stable or declined. New information gained from this project will be useful in understanding the potential ofclimate-driven changes in terrestrial nesting habitats for impacting Adelie penguins in the future. The project will produce, and document, open-source software tools to help automate image processing for automated counting of Adelie penguins. The project will train graduate and undergraduate students and contribute materials to ongoing educational outreach programs based on related penguin science projects. Information gained from this project will contribute towards building robust, cost-effective protocols for monitoring Adelie penguin populations, a key ecosystem indicator identified in the draft Ross Sea Marine Protected Area Research and Monitoring Plan. Adelie penguins are important indicators of ecosystem function and change in the Southern Ocean. In addition to facing rapid changes in sea ice and other factors in their pelagic environment, their terrestrial nesting habitat is also changing. Understanding the species' response to such changes is critical for assessing its ability to adapt to the changing climate. The objective of this project is to test several hypotheses about the influence of fine-scale nesting habitat, nest density, and breeding success of Adelie penguins in the Ross Sea region. To accomplish this, the project will develop algorithms to improve efficiency and safety of surveys by unmanned aerial systems and develop and disseminate an automated image processing workflow. Images collected during several UAV surveys will be used to estimate the number of nesting adults and chicks produced, as well as estimate nesting density in different parts of two colonies on Ross Island, Antarctica, that differ in size by two orders of magnitude. Imagery will be used to generate high resolution digital surface/elevation models that will allow terrain variables like flood risk and terrain complexity to be derived. Combining the surface model with the nest and chick counts at the two colonies will provide relationships between habitat covariates, nest density, and breeding success. The approaches developed will enable Adelie penguin population sizes and potentially several other indicators in the Ross Sea Marine Protected Area Research and Monitoring Plan to be determined and evaluated. The flight control algorithms developed have the potential to be used for many types of surveys, especially when large areas need to be covered in a short period with extreme weather potential and difficult landing options. Aerial images and video will be used to create useable materials to be included in outreach and educational programs. The automated image processing workflow and classification models will be developed as open source software and will be made freely available for others addressing similar wildlife monitoring challenges. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. | POLYGON((165 -77,165.5 -77,166 -77,166.5 -77,167 -77,167.5 -77,168 -77,168.5 -77,169 -77,169.5 -77,170 -77,170 -77.1,170 -77.2,170 -77.3,170 -77.4,170 -77.5,170 -77.6,170 -77.7,170 -77.8,170 -77.9,170 -78,169.5 -78,169 -78,168.5 -78,168 -78,167.5 -78,167 -78,166.5 -78,166 -78,165.5 -78,165 -78,165 -77.9,165 -77.8,165 -77.7,165 -77.6,165 -77.5,165 -77.4,165 -77.3,165 -77.2,165 -77.1,165 -77)) | POINT(167.5 -77.5) | false | false | |||
|
A 45-Y Hindcast of Antarctic Surface Mass Balance Using Polar MM5
|
0337948 |
2007-08-02 | Bromwich, David; Monaghan, Andrew |
|
This award supports a comprehensive investigation of the spatial and temporal characteristics of the surface mass balance of the Antarctic ice sheet and the governing mechanisms that affect it. A mesoscale atmospheric model, adapted for Antarctic conditions (Polar MM5), will be used in conjunction with the newly available reanalysis from the European Centre for Medium-Range Weather Forecasts (ECMWF) to resolve the surface mass balance of Antarctica at a time resolution of 3 hours and a spatial resolution of 60 km from 1957 to 2001. Polar MM5 will be upgraded to account for key processes in the simulation, including explicit consideration of blowing snow transport and sublimation as well as surface melting/runoff. The proposed 45-y hindcast of all Antarctic surface mass balance components with a limited area model has not previously been attempted and will provide a dataset of unprecedented scope to complement existing ice core measurements of recent climate, especially those collected by the International Transantarctic Scientific Expedition (ITASE). The trends and variability in space and time over 4.5 decades will be resolved and the impact of the dominant modes of atmospheric variability (Antarctic Oscillation, El Nino-Southern Oscillation, etc.) will be isolated. Hypotheses concerning the Antarctic surface mass balance response to climate change will be tested. The research will provide a sound basis for evaluating the impact of future climate change on Antarctic surface mass balance and its contribution to global sea level change as well as providing an important perspective for the interpretation of Antarctic ice core records. The broader impacts include the education of a Ph.D. student, the development of material for use in university classes, and construction of an interactive educational webpage on Antarctic surface mass balance. | POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60)) | POINT(0 -89.999) | false | false |
