Jeff Danielson is a Physical Geographer with the U.S. Geological Survey at the Earth Resources Observation and Science Center (EROS) in Sioux Falls, South Dakota.
Jeff Danielson has been engaged in topographic science research since 1995. He has an extensive background in working with geographic information systems technologies, image processing, remote sensing, and geospatial elevation data. Danielson has developed hydrologic derivative products from continental-scale digital elevation models and was the project lead on the development of a new global elevation product suite “The Global Multi-resolution Terrain Elevation Data 2010.” His current work is leading the USGS Coastal National Elevation Database (CoNED) Applications Project. This project is focused on developing high-resolution integrated topobathymetric elevation models from both lidar (land topography) and bathymetric (water depth) data sources that provide a seamless elevation product useful for applications such as, modeling sea level rise, storm surge, and sediment transport. The CoNED project also conducts fundamental algorithm remote sensing (lidar / point cloud) research to extend the data structure for topobathymetric elevation models and create methods for fostering land change science studies.
Education
Jeff Danielson has a BS in Geography and Computer Science and an MS in Geography from South Dakota State University, Brookings, SD, USA.
Science and Products
Alaska North Slope LiDAR
3D Topobathymetric Digital Elevation Model for Lake Powell Storage Capacity Assessment
Sea-Level Rise Viewer for American Samoa: A Co-Developed Visualization and Planning Tool
Southern California / Channel Islands - Topobathymetric Elevation Model of the Channel Islands
Topobathymetric Elevation Model of San Francisco Bay Area, California
Topobathymetric Elevation Model of Northern Gulf of Mexico
Topobathymetric Elevation Model of Outer Banks and Pamlico Sound, North Carolina
Topobathymetric Elevation Model of Majuro Atoll, Republic of the Marshall Islands
Topobathymetric Elevation Model of Mobile Bay, Alabama
Hurricane Sandy Region - Topobathymetric Elevation Model of New Jersey / Delaware
Hydrologic-Enforcement of Lidar DEMs
Shoreline Definition in Emergent Wetland Environments
2021 McKenzie River Topobathymetric Lidar Validation - USGS Field Survey Data
Potomac River ADCP Bathymetric Survey, October 4-7, 2021
Future coastal hazards along the U.S. Atlantic coast
Topobathymetric Model of Pu'uhonua O Honaunau National Historical Park, 2011 to 2019 - Field Survey Source and Validation Data
Future coastal hazards along the U.S. North and South Carolina coasts
Potomac River ADCP Bathymetric Survey, October 4-7, 2021
Topobathymetric Model of the Northern Gulf of Mexico, 1885 to 2021
Chesapeake Bay Region Virginia River Bluff and Wetland Extent Mapping
Topobathymetric Model of the Coastal Carolinas, 1851 to 2020
2020 Niobrara River Topobathymetric Lidar Validation – USGS Field Survey Data
Coastal Carolinas Topobathymetric Model: Field Validation Data, 2021
Central South Dakota Airborne Lidar Validation - Field Survey Data
SaTSeaD: Satellite Triangulated Sea Depth open-source bathymetry module for NASA Ames Stereo Pipeline
Absolute accuracy assessment of lidar point cloud using amorphous objects
Elevations of mangrove forests of Pohnpei, Micronesia
A comparison of Landsat 8 Operational Land Imager and Provisional Aquatic Reflectance science product, Sentinel–2B, and WorldView–3 imagery for empirical satellite-derived bathymetry, Unalakleet, Alaska
Positional accuracy assessment of lidar point cloud from NAIP/3DEP pilot project
Inundation exposure assessment for Majuro Atoll, Republic of the Marshall Islands using a high-accuracy digital elevation model
General external uncertainty models of three-plane intersection point for 3D absolute accuracy assessment of lidar point cloud
Coastal National Elevation Database
Evaluating the potential for near-shore bathymetry on the Majuro Atoll, Republic of the Marshall Islands, using Landsat 8 and WorldView-3 imagery
One-meter topobathymetric digital elevation model for Majuro Atoll, Republic of the Marshall Islands, 1944 to 2016
Topobathymetric elevation model development using a new methodology: Coastal National Elevation Database
Creating a Coastal National Elevation Database (CoNED) for science and conservation applications
Science and Products
- Science
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Alaska North Slope LiDAR
High-resolution light detection and ranging (lidar) elevation data were acquired along the north coast of Alaska between 2009 and 2012. The lidar acquisition, from Icy Cape, Alaska to the United States/Canadian border, comprised approximately 11,000 km2. The airborne lidar data were acquired in support of the U.S. Geological Survey Coastal and Marine Geology Program. The purpose of this lidar...3D Topobathymetric Digital Elevation Model for Lake Powell Storage Capacity Assessment
To support the modeling of the Colorado River water storage area capacity tables by the U.S. Geological Survey (USGS) Utah Water Science Center, the USGS Earth Resources Observation and Science (EROS) Center created a 3D high-resolution topobathymetric digital elevation model (TBDEM) for Lake Powell. Located in south-central Utah and north-central Arizona, the second largest man-made reservoir in...Sea-Level Rise Viewer for American Samoa: A Co-Developed Visualization and Planning Tool
American Samoa is vulnerable to sea-level rise in part due to the steep terrain of its islands. This terrain requires the majority of the islands’ villages and infrastructure to be located along thin strips of coastal land. The situation is worsened by the recently recognized rapid sinking of the islands, which was triggered by the 2009 Samoa earthquake and is predicted to last for decades. This s...Southern California / Channel Islands - Topobathymetric Elevation Model of the Channel Islands
Located in the Pacific Ocean off the coast of California, the Channel Islands are a chain of eight islands where years of isolation has created unique fauna, flora, and archeological resources. Five of the islands are part of Channel Islands National Park (Anacapa, Santa Cruz, Santa Rosa, San Miguel, and Santa Barbara), and the waters surrounding these islands make up the Channel Islands National...Topobathymetric Elevation Model of San Francisco Bay Area, California
Accurate, high-resolution elevation information is vital to understanding the natural hazards that can impact the highly populated San Francisco Bay area, such as sea-level rise, winter storms, cliff erosion, and other coastal hazards. The San Francisco Bay estuary three-dimensional (3D) topobathymetric digital elevation model (TBDEM) was developed in collaboration between U.S. Geological Survey...Topobathymetric Elevation Model of Northern Gulf of Mexico
Accurate, high-resolution elevation information is vital to understanding the highly dynamic northern Gulf of Mexico coast, the location of North America’s largest delta system and the focus of one of the largest coastal restoration and flood risk reduction efforts in the United States. The northern Gulf of Mexico topobathymetric digital elevation model (TBDEM) was developed in collaboration...Topobathymetric Elevation Model of Outer Banks and Pamlico Sound, North Carolina
Pamlico Sound is ecologically important as it is the second largest estuary in the United States, and is the largest lagoon on the U.S. east coast. The sound is separated from the Atlantic Ocean by the Outer Banks, a series of low, sandy barrier islands that are vulnerable to hurricane storm surge and sea-level rise. The seamless high-resolution topobathymetric digital elevation model (TBDEM) for...Topobathymetric Elevation Model of Majuro Atoll, Republic of the Marshall Islands
With an estimated elevation of only 3-meters above sea level, the Majuro Atoll, capital of the Republic of the Marshall Islands (RMI), is extremely vulnerable to sea-level rise, tsunamis, storm surge, and coastal flooding that could impact the sustainability of the infrastructure, groundwater, and ecosystems. Located in the northern tropical Pacific Ocean, the waters surrounding the Majuro Atoll...Topobathymetric Elevation Model of Mobile Bay, Alabama
Mobile Bay is ecologically important as it is the fourth largest estuary in the United States. The Mobile Bay topobathymetric digital elevation model (TBDEM) was developed in collaboration between U.S. Geological Survey (USGS) Coastal and Marine Geology Program (CMGP) and USGS National Geospatial Program (NGP) using a combination of 71 disparate topographic and bathymetric datasets collected from...Hurricane Sandy Region - Topobathymetric Elevation Model of New Jersey / Delaware
Hurricane Sandy severely impacted the New Jersey/Delaware coast, altering the topography and ecosystems of this heavily populated region. In response to the storm, the U.S. Geological Survey (USGS) Coastal and Marine Geology Program in collaboration with USGS National Geospatial Program , and National Oceanic and Atmospheric Administration developed three-dimensional (3D) topobathymetric elevation...Hydrologic-Enforcement of Lidar DEMs
Hydrologic connectivity of light detection and ranging (lidar)-derived elevation data is critical for coastal hydrologic modeling applications. However, unless hydrologically-enforced, raised structures (i.e. bridges, roads overlaying culverts) can block overland flow to coastal waters. Because highly detailed lidar-derived elevation surfaces include features such as bridge decks and road fill...Shoreline Definition in Emergent Wetland Environments
Coastal shoreline mapping is a particularly complex issue because of the dynamic nature of water levels at the land-water interface, the various tidal vertical datums in use, and the spatial scale of the shoreline delineation. In addition, the definition of a shoreline varies depending on whether the shoreline will be used for nautical charts and navigation, delineating the legal federal and state... - Data
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2021 McKenzie River Topobathymetric Lidar Validation - USGS Field Survey Data
U.S. Geological Survey (USGS) scientists conducted field data collection efforts between July 19th and 31st, 2021 over a large stretch of the McKenzie River in Oregon using high accuracy surveying technologies. The work was initiated as an effort to validate commercially acquired topobathymetric light detection and ranging (lidar) data that was collected coincidentally between July 26th and 30th,Potomac River ADCP Bathymetric Survey, October 4-7, 2021
Bathymetric LiDAR technology was used to collect riverbed elevation data along the Potomac River. In support of this effort, a bathymetric survey with a boat-mounted acoustic Doppler current profiler (ADCP) was conducted in the study area during October 4-7, 2021. The study area consisted of four verification reaches on the Potomac River including: 1) Williamsport accessed through the WilliamsportFuture coastal hazards along the U.S. Atlantic coast
This product consists of several datasets that map future coastal flooding and erosion hazards due to sea level rise (SLR) and storms for three States (Florida, Georgia, and Virginia) along the Atlantic coast of the United States. The SLR scenarios encompass a plausible range of projections by 2100 based on the best available science and with enough resolution to support a suite of different plannTopobathymetric Model of Pu'uhonua O Honaunau National Historical Park, 2011 to 2019 - Field Survey Source and Validation Data
U.S. Geological Survey (USGS) and University of Hawaii - Manoa (UH) scientists conducted field data collection efforts from August 19th - 27th, 2019 at Pu'uhonua O Honaunau National Historical Park on the Big Island of Hawaii. The data collection efforts utilized a combination of remote sensing technologies to map the topography, critical infrastructure, and most importantly, the cultural assets oFuture coastal hazards along the U.S. North and South Carolina coasts
This product consists of several datasets that map future coastal flooding and erosion hazards due to sea level rise (SLR) and storms along the North and South Carolina coast. The SLR scenarios encompass a plausible range of projections by 2100 based on the best available, science and with enough resolution to support a suite of different planning horizons. The storm scenarios are derived with thePotomac River ADCP Bathymetric Survey, October 4-7, 2021
Bathymetric LiDAR technology was used to collect riverbed elevation data along the Potomac River. In support of this effort, a bathymetric survey with a boat-mounted acoustic Doppler current profiler (ADCP) was conducted in the study area during October 4-7, 2021. The study area consisted of four verification reaches on the Potomac River including: 1) Williamsport accessed through the WilliamsportTopobathymetric Model of the Northern Gulf of Mexico, 1885 to 2021
To support U.S. Army Corps of Engineers (USACE) storm surge modeling for the Louisiana Coastal Protection and Restoration Authority (CPRA), Lowermost Mississippi River Management Program (LMRMP), the U.S. Geological Survey (USGS) Coastal National Elevation Database (CoNED) Applications Project has created an integrated 1-meter topobathymetric digital elevation model (TBDEM) for the Northern Gulf oChesapeake Bay Region Virginia River Bluff and Wetland Extent Mapping
The Chesapeake Bay Estuary is the largest estuary in the United States and provides habitats for diverse wildlife and aquatic species, protects communities against flooding, reduces pollution to waterways, and supports local economies through commercial and recreational activities. In the Spring of 2018, the U.S. Geological Survey (USGS) Coastal National Elevation Database (CoNED) Applications ProTopobathymetric Model of the Coastal Carolinas, 1851 to 2020
To support Hurricane Florence impact modeling of storm-induced flooding and sediment transport, the U.S. Geological Survey (USGS) Coastal National Elevation Database (CoNED) Applications Project has created an integrated 1-meter topobathymetric digital elevation model (TBDEM) for coastal North Carolina, and South Carolina. High-resolution coastal topobathymetric data are required to characterize f2020 Niobrara River Topobathymetric Lidar Validation – USGS Field Survey Data
U.S. Geological Survey (USGS) scientists conducted field data collection efforts between August 17th and 28th, 2020 over a large stretch of the Niobrara River in Nebraska using high accuracy surveying technologies. The work was initiated as an effort to validate commercially acquired topobathymetric light detection and ranging (lidar) data. The goal was to compare and validate the airborne lidar dCoastal Carolinas Topobathymetric Model: Field Validation Data, 2021
U.S. Geological Survey (USGS) scientists conducted field data collection efforts between March 8th and 25th, 2021 at four sites along coastal North Carolina and South Carolina using high accuracy surveying technologies. The work was initiated as an effort to validate a topobathymetric digital elevation model (TBDEM) produced for the area that was directly impacted by Hurricane Florence in 2018. ThCentral South Dakota Airborne Lidar Validation - Field Survey Data
U.S. Geological Survey (USGS) scientists conducted field data collection efforts during the time periods of April 25 - 26, 2017, October 24 - 28, 2017, and July 25 - 26, 2018, using a combination of surveying technologies to map and validate topography, structures, and other features at five sites in central South Dakota. The five sites included the Chamberlain Explorers Athletic Complex and the C - Multimedia
- Publications
Filter Total Items: 27
SaTSeaD: Satellite Triangulated Sea Depth open-source bathymetry module for NASA Ames Stereo Pipeline
We developed the first-ever bathymetric module for the NASA Ames Stereo Pipeline (ASP) open-source topographic software called Satellite Triangulated Sea Depth, or SaTSeaD, to derive nearshore bathymetry from stereo imagery. Correct bathymetry measurements depend on water surface elevation, and whereas previous methods considered the water surface horizontal, our bathymetric module accounts for thAuthorsMonica Palaseanu-Lovejoy, Oleg Alexandrov, Jeffrey J. Danielson, Curt StorlazziAbsolute accuracy assessment of lidar point cloud using amorphous objects
The accuracy assessment of airborne lidar point cloud typically estimates vertical accuracy by computing RMSEz (root mean square error of the z coordinate) from ground check points (GCPs). Due to the low point density of the airborne lidar point cloud, there is often not enough accurate semantic context to find an accurate conjugate point. To advance the accuracy assessment in full three-dimensionAuthorsMinsu Kim, Jason M. Stoker, Jeffrey Irwin, Jeffrey J. Danielson, Seonkyung ParkElevations of mangrove forests of Pohnpei, Micronesia
Mangrove surface elevation is the crux of mangrove vulnerability to sea level rise. Local topography influences critical periods of tidal inundation that govern distributions of mangrove species and dictates future distributions. This study surveyed ground surface elevations of the extensive mangroves of Pohnpei, Federated States of Micronesia, integrating four survey technologies to solve issuesAuthorsJoanna C Ellison, Kevin J. Buffington, Karen M. Thorne, Dean B. Gesch, Jeffrey Irwin, Jeffrey J. DanielsonA comparison of Landsat 8 Operational Land Imager and Provisional Aquatic Reflectance science product, Sentinel–2B, and WorldView–3 imagery for empirical satellite-derived bathymetry, Unalakleet, Alaska
Satellite-derived bathymetry (SDB) based upon an empirical band ratio method is a cost-effective means for mapping nearshore bathymetry in coastal areas vulnerable to natural hazards. This is particularly important for the low-lying coastal community of Unalakleet, Alaska, that has been negatively affected not only by flooding, storm surge, and historically strong storms but also by high erosion rAuthorsSandra K. Poppenga, Jeffrey J. DanielsonPositional accuracy assessment of lidar point cloud from NAIP/3DEP pilot project
The Leica Geosystems CountryMapper hybrid system has the potential to collect data that satisfy the U.S. Geological Survey (USGS) National Geospatial Program (NGP) and 3D Elevation Program (3DEP) and the U.S. Department of Agriculture (USDA) National Agriculture Imagery Program (NAIP) requirements in a single collection. This research will help 3DEP determine if this sensor has the potential to meAuthorsMinsu Kim, Seonkyung Park, Jeffrey Irwin, Collin McCormick, Jeffrey J. Danielson, Gregory L. Stensaas, Aparajithan Sampath, Mark A. Bauer, Matthew Alexander BurgessInundation exposure assessment for Majuro Atoll, Republic of the Marshall Islands using a high-accuracy digital elevation model
Majuro Atoll in the central Pacific has high coastal vulnerability due to low-lying islands, rising sea level, high wave events, eroding shorelines, a dense population center, and limited freshwater resources. Land elevation is the primary geophysical variable that determines exposure to inundation in coastal settings. Accordingly, coastal elevation data (with accuracy information) are critical foAuthorsDean B. Gesch, Monica Palaseanu-Lovejoy, Jeffrey J. Danielson, Charles Fletcher, Maria Kottermair, Matthew Barbee, Andrea JalandoniGeneral external uncertainty models of three-plane intersection point for 3D absolute accuracy assessment of lidar point cloud
The traditional practice to assess accuracy in lidar data involves calculating RMSEz (root mean square error of the vertical component). Accuracy assessment of lidar point clouds in full 3D (dimension) is not routinely performed. The main challenge in assessing accuracy in full 3D is how to identify a conjugate point of a ground-surveyed checkpoint in the lidar point cloud with the smallest possibAuthorsMinsu Kim, Seonkyung Park, Jeffrey J. Danielson, Jeffrey Irwin, Gregory L. Stensaas, Jason M. Stoker, Joshua NimetzCoastal National Elevation Database
The Coastal National Elevation Database (CoNED) Applications Project develops enhanced topographic (land elevation) and bathymetric (water depth) datasets that serve as valuable resources for coastal hazards research (Danielson and others, 2016; Thatcher and others, 2016). These datasets are used widely for mapping inundation zones from riverine flood events, hurricanes, and sea-level rise and forAuthorsJeffrey J. Danielson, Sandra K. Poppenga, Dean J. Tyler, Monica Palaseanu-Lovejoy, Dean B. GeschEvaluating the potential for near-shore bathymetry on the Majuro Atoll, Republic of the Marshall Islands, using Landsat 8 and WorldView-3 imagery
Satellite-derived near-shore bathymetry (SDB) is becoming an increasingly important method for assessing vulnerability to climate change and natural hazards in low-lying atolls of the northern tropical Pacific Ocean. Satellite imagery has become a cost-effective means for mapping near-shore bathymetry because ships cannot collect soundings safely while operating close to the shore. Also, green lasAuthorsSandra K. Poppenga, Monica Palaseanu-Lovejoy, Dean B. Gesch, Jeffrey J. Danielson, Dean J. TylerOne-meter topobathymetric digital elevation model for Majuro Atoll, Republic of the Marshall Islands, 1944 to 2016
Atoll and island coastal communities are highly exposed to sea-level rise, tsunamis, storm surges, rogue waves, king tides, and the occasional combination of multiple factors, such as high regional sea levels, extreme high local tides, and unusually strong wave set-up. The elevation of most of these atolls averages just under 3 meters (m), with many areas roughly at sea level. The lack of high-resAuthorsMonica Palaseanu-Lovejoy, Sandra K. Poppenga, Jeffrey J. Danielson, Dean J. Tyler, Dean B. Gesch, Maria Kottermair, Andrea Jalandoni, Edward Carlson, Cindy A. Thatcher, Matthew M. BarbeeTopobathymetric elevation model development using a new methodology: Coastal National Elevation Database
During the coming decades, coastlines will respond to widely predicted sea-level rise, storm surge, and coastalinundation flooding from disastrous events. Because physical processes in coastal environments are controlled by the geomorphology of over-the-land topography and underwater bathymetry, many applications of geospatial data in coastal environments require detailed knowledge of the near-shoAuthorsJeffrey J. Danielson, Sandra K. Poppenga, John Brock, Gayla A. Evans, Dean J. Tyler, Dean B. Gesch, Cindy A. Thatcher, John BarrasCreating a Coastal National Elevation Database (CoNED) for science and conservation applications
The U.S. Geological Survey is creating the Coastal National Elevation Database, an expanding set of topobathymetric elevation models that extend seamlessly across coastal regions of high societal or ecological significance in the United States that are undergoing rapid change or are threatened by inundation hazards. Topobathymetric elevation models are raster datasets useful for inundation predictAuthorsCindy A. Thatcher, John Brock, Jeffrey J. Danielson, Sandra K. Poppenga, Dean B. Gesch, Monica Palaseanu-Lovejoy, John Barras, Gayla A. Evans, Ann Gibbs - News