Filters: Tags: {"scheme":"ISO 19115 Topic Category"} (X) > partyWithName: Dean B Gesch (X)
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Low-lying island environments, such as the Majuro Atoll in the Republic of the Marshall Islands, are particularly vulnerable to inundation (coastal flooding) whether the increased water levels are from episodic events (storm surge, wave run-up, king tides) or from chronic conditions (long term sea-level rise). Land elevation is the primary geophysical variable that determines exposure to inundation in coastal settings. Accordingly, coastal elevation data are a critical input for assessments of inundation exposure and vulnerability. Previous research has demonstrated that the quality of data used for elevation-based assessments must be well understood and applied to properly model potential impacts. The vertical...
U.S. Geological Survey (USGS) and Virginia Institute of Marine Science (VIMS) scientists conducted field data collection efforts during June 11th - 16th, 2020, using a combination of remote sensing technologies to map riverbank and wetland topography and vegetation at five sites in the Chesapeake Bay Region of Virginia. The five sites are located along the James, Severn, and York Rivers. The work was initiated to evaluate the utility of different remote sensing technologies in mapping river bluff and wetland topography and vegetation for change detection and sediment transport modeling. The USGS team collected Global Navigation Satellite System (GNSS), total station, and ground based lidar (GBL) data while the VIMS...
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 Project at the USGS Earth Resources Observation and Science (EROS) Center and the Virginia Institute of Marine Science (VIMS) Center for Coastal Resources Management (CCRM) initiated collaborative work. The goal of this collaboration is to evaluate how various remote sensing technologies can be employed to model estuarine...
U.S. Geological Survey (USGS) scientists conducted field work efforts during February 15-23, 2017 and April 10-25, 2019 in the mangrove forests of Pohnpei, Federated States of Micronesia (FSM) with logistical assistance from the Micronesia Conservation Trust (MCT) and field assistance from the Conservation Society of Pohnpei and the Pohnpei Department of Forestry. The field team combined the surveying technologies and techniques of Real-Time Kinematic (RTK) Global Navigation Satellite System (GNSS) surveying, total station surveying, and differential leveling to measure elevations on critical features in the mangrove forests, including the elevations of water level recorders, sediment coring locations, and Surface...
Categories: Data;
Tags: Alohkapw,
Climate Change Adaptation,
Differential Leveling,
Dolopwail,
Ecology,
U.S. Geological Survey (USGS) and University of Hawaii - Mānoa (UH) scientists conducted field data collection efforts from August 19th - 27th, 2019 at Pu‘uhonua O Hōnaunau 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 of Pu‘uhonua O Hōnaunau National Historical Park. The USGS and UH team collected Global Navigation Satellite System (GNSS), total station, and ground based lidar (GBL) data, along with utilizing Uncrewed Aerial Systems (UAS) to collect imagery and UAS lidar to map these features. This data release contains shapefiles of...
U.S. Geological Survey (USGS) and Virginia Institute of Marine Science (VIMS) scientists conducted field data collection efforts during the week of April 8th - 14th, 2018, using a combination of remote sensing technologies to map riverbank and wetland topography and vegetation at four sites in the Chesapeake Bay Region of Virginia. The four sites are located along the James, Severn, and York Rivers. The work was initiated to evaluate the utility of different remote sensing technologies in mapping river bluff and wetland topography and vegetation for change detection and sediment transport modeling. The USGS team collected Global Navigation Satellite System (GNSS), total station, and ground based lidar (GBL) data...
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