Filters: Tags: Remote sensing (X) > Date Range: {"choice":"week"} (X)
6 results (15ms)
Filters
Date Types (for Date Range)
Types
Contacts
Categories Tag Types Tag Schemes |
Climatic extremes are becoming more frequent with climate change and have the potential to cause major ecological shifts and ecosystem collapse. With the ecosystem collapse these normally healthy marshes fragment and convert to open water. Along the northern Gulf of Mexico, a coastal wetland in the San Bernard National Wildlife Refuge in Texas suffered significant and acute vegetation dieback following Hurricane Harvey in 2017. Using Uncrewed Aerial Systems (UAS) we acquired high resolution imagery to identify plant types that may correlate with elevation levels. Most plant species will fall into the succulents, graminoids, and Spartina alterniflora marsh types. These degraded marsh areas are classified into 5 categories:...
Note: This data release is currently under revision and is temporarily unavailable. Phenological dynamics of terrestrial ecosystems reflect the response of the Earth's vegetation canopy to changes in climate and hydrology and are thus important to monitor operationally. The Exotic Annual Grass (EAG) phenology in the western U.S. rangeland based on 30m near seamless Harmonized Landsat and Sentinel-2 (HLS) Normalized Difference Vegetation Index (NDVI) weekly composites between 2016 and 2021 (Dahal et al., 2022) were processed using these 3 methods: (1) NDVI threshold-based method, (2) manual phenological metrics, and (3) modeling and mapping. The EAG phenology model produced eight metrics identifying the sustainable...
The Louisiana State Legislature created the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Delta Management at Fort St. Philip (BS-11) project for 2021. This data is used as a basemap land-water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: BS-11,
CWPPRA,
Geography,
Gulf of Mexico,
Land Use Change,
This data release includes cross section survey data collected during site visits to USGS gaging stations located throughout the Willamette and Delaware River Basins and multispectral images of these locations acquired as close in time as possible to the date of each site visit. In addition, MATLAB source code developed for the Bathymetric Mapping using Gage Records and Image Databases (BaMGRID) framework is also provided. The site visit data were obtained from the Aquarius Time Series database, part of the USGS National Water Information System (NWIS), using the Publish Application Programming Interface (API). More specifically, a custom MATLAB function was used to query the FieldVisitDataByLocationServiceRequest...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Aquatic Biology,
Bathymetry,
Cross sections,
Delaware River Basin,
Depth,
Note: This data release is currently under revision and is temporarily unavailable. The U.S. Geological Survey (USGS) has developed and implemented an algorithm that identifies burned areas in temporally dense time series of Landsat Analysis Ready Data (ARD) scenes to produce the Landsat Burned Area Products. The algorithm makes use of predictors derived from individual ARD Landsat scenes, lagged reference conditions, and change metrics between the scene and reference conditions. Scene-level products include pixel-level burn probability (BP) and burn classification (BC) images, corresponding to each Landsat image in the ARD time series. Annual composite products are also available by summarizing the scene level...
This study applied historical aerial imagery and satellite imagery to create digital surface models (DSMs) of the Helmand River Valley situated in southwestern Afghanistan. The historical imagery, collected in 1952 by Fairchild Aerial Surveys Incorporated (FAS), at 1:40,000 scale, represents the earliest known aerial photographic archive of the Helmand Valley landscape. Structure-from-motion (SfM) multi-view stereo (MVS) photogrammetric techniques were used together with ground control points collected from high resolution satellite imagery to create a 5m digital elevation model (DEM) and 2m orthoimage. The historical DEM was evaluated for accuracy against a 2006 5m DEM using SPOT-5 HRG satellite imagery which was...
|
|