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Search indexed USGS publications on groundwater, aquifers, geologic maps, mineral resources and earthquakes. Explore source records by subject and place.

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At least 685 records · Page 38Linked to original sources
USGS2012

Thermal infrared remote sensing of water temperature in riverine landscapes

Water temperature in riverine landscapes is an important regional indicator of water quality that is influenced by both ground- and surface-water inputs, and indirectly by land use in the surrounding watershed (Brown and Krygier, 1970; Beschta et al., 1987; Chen et al., 1998; Poole and Berman, 2001).Coldwater fishes such as salmon and trout are sensitive to elevated water temperature; therefore, water temperature must meet management guidelines and quality standards, which aim to create a healthy environment for endangered populations (McCullough et al., 2009). For example, in the USA, the Environmental Protection Agency (EPA) has established water quality standards to identify specific temperature criteria to protect coldwater fishes (Environmental Protection Agency, 2003). Trout and salmon can survive in cool-water refugia even when temperatures at other measurement locations are at or above the recommended maximums (Ebersole et al., 2001; Baird and Krueger, 2003; High et al., 2006). Spatially extensive measurements of water temperature are necessary to locate these refugia, to identify the location of ground- and surface-water inputs to the river channel, and to identify thermal pollution sources. Regional assessment of water temperature in streams and rivers has been limited by sparse sampling in both space and time. Water temperature has typically been measured using a network of widely distributed instream gages, which record the temporal change of the bulk, or kinetic, temperature of the water (Tk) at specific locations. For example, the State of Washington (USA) recorded water quality conditions at 76 stations within the Puget Lowlands eco region, which contains 12,721 km of streams and rivers (Washington Department of Ecology, 1998). Such gages are sparsely distributed, are typically located only in larger streams and rivers, and give limited information about the spatial distribution of water temperature.

Book chapter↗
USGS1973

Remote sensing of turbidity plumes in Lake Ontario

High-altitude photography provides an effective method of monitoring the spatial extent of turbidity plumes in Lake Ontario. Large plumes generated by the Niagara, Genesee, and Oswego Rivers are identifiable on photographs obtained from about 60,000 feet above the lake on July 6, 1970, October 19, 1970, and May 29, 1971. The Niagara plume, covering as much as 43 sq mi of the lake's surface, is the largest turbidity feature. The configuration of the plumes is a function of river discharge, level of turbidity, and wind speed and direction.

Journal of Research of the U.S. Geological Survey↗
USGS1977

Remote sensing for lineaments in the Mississippi Embayment

A recurrence of an 1811-12 type earthquake in the Mississippi Valley would pose severe problems to construction in the valley. As William Stauder has stated in the preceding article, a particular difficulty in understanding the seismicity of this area is that, whereas various surface manifestations of the 1811-12 earthquakes have been well documented (for example, sandblows and sunken lands), active fault zones have never been recognized. There may be different reasons for this.

Mississippi embayment↗
USGS2016

Archiving and access systems for remote sensing: Chapter 6

Focuses on major developments inaugurated by the Committee on Earth Observation Satellites, the Group on Earth Observations System of Systems, and the International Council for Science World Data System at the global level; initiatives at national levels to create data centers (e.g. the National Aeronautics and Space Administration (NASA) Distributed Active Archive Centers and other international space agency counterparts), and non-government systems (e.g. Center for International Earth Science Information Network). Other major elements focus on emerging tool sets, requirements for metadata, data storage and refresh methods, the rise of cloud computing, and questions about what and how much data should be saved. The sub-sections of the chapter address topics relevant to the science, engineering and standards used for state-of-the-art operational and experimental systems.

Book chapter↗
USGS2006

Development of airborne remote sensing methods for surveys of Pacific walrus

In April 2003, we conducted an operational test of an airborne multispectral scanner (AMS) over pack ice in the Bering Sea to evaluate the potential of this system as a survey tool for Pacific walruses. We scanned a total of 28,875 km2 of sea ice habitat at a spatial resolution of 4 m and collected high resolution photographs from a subset of the thermally detected walrus groups. We found a significant positive relationship between walrus group size and the amount of heat measured by the AMS and used this relationship to estimate total walrus numbers in the survey area. The number of walruses hauled out onto sea ice in our study area was estimated at 4,785 animals with a 95% confidence interval of 2,499–7,111. We believe that the AMS system as configured for this study would be a highly effective tool for surveying large areas of sea ice habitat for walrus groups. With a 6 km swath width, it should be possible to sample more 10,000 km2 in an 8-hr flight. Although walrus groups > 4 animals were easily detected and enumerated in the 4 m thermal data, the system was unable to detect individual walruses or seals ( Phoca spp . and Erignathus barbatus ). We found that most (94.6%) of the walruses photographed in our survey area occurred in groups > 6 animals, therefore we expect the magnitude of any bias due to undetected groups of hauled out animals would be relatively small.

Alaska↗
USGS2016

The power of remote sensing: Global monitoring of weather, water, and crops with satellites and data integration

Imagine a family of six whose livelihood is based on subsistence farming on a small, maybe one hectare, parcel of land somewhere in Africa. The seasonal rainfall varies greatly, from 500 to 800 mm per year, and the land is degraded. Thus, the parcel’s total productivity is not more than 1.5 tonnes in a good year, hardly meeting the family’s food requirements. The lack of surplus grain eliminates the need for grain storage structures, and due to the high rainfall variability, drought hazard is always looming, with an average recurrence interval of five to ten years.

Resource: Engineering and Technology for a Sustain↗