Multimedia Gallery

Example of elevation derived hydrogrpahy data 

Example of elevation derived hydrogrpahy data 

Map of Green Lake, Wisconsin, and its watershed, with sampling data.

Image showing the distribution of usSEABED data output files US9_EXT (blue triangles) and US9_PRS (pink circles) around the continental United States, Hawai'i, and Puerto Rico.

One-Water Hydrologic Flow Model: A MODFLOW Based Conjunctive-Use Simulation Software (Boyce and others, 2020).

Left: Land surface reflectance natural color composite image (bands 4,3,2); Right: aquatic reflectance Band 2 (Blue band) image of San Francisco Bay, using data acquired by Landsat 8 (Path 44 Row 33) on October 7, 2018

The USGS National Integrated Water Availability Assessments (IWAAs) concept map shows daily estimates of natural water storage (water present on the landscape such as standing water, snowpack, soil water, and shallow groundwater) for approximately 110,000

Maps displaying the spatial-temporal variability in the NPPSD 3.0 dataset

Map showing the study area for an investigation modeling the hydraulic and water-quality habitat suitability for macrophytes in the middle Snake River, south-central Idaho.

Digital elevation model (DEM) of northern San Francisco Bay, California, created using bathymetry data collected between 1999 and 2016 (MLLW)

This image shows a false color (bands 7,6,5) nighttime Landsat 8 image of the Taal Volcano overlaid on a daytime Landsat panchromatic black and white image (band 8). The nighttime image from path 220/row194 was acquired on January 15, 2020, a few days after the volcano's eruption. The heat signature from volcanic activity shows up as bright oragne/red. The daytime image

Rigorously Valuing the Role of Puerto Rico’s Coral Reefs in Coastal Hazard Risk Reduction

Estimated Annual Benefits

Maps of Puerto Rico showing the distribution of the value of averted direct building damages, indirect economic activity losses, and population annually protected from flooding by coral reefs. Results at 10 m² resolution are

Rigorously Valuing the Role of Florida’s Coral Reefs in Coastal Hazard Risk Reduction

Estimated Annual Benefits

Maps of Florida showing the distribution of the value of averted direct building damages, indirect economic activity losses, and population annually protected from flooding by coral reefs. Results at 10 m² resolution are aggregated into

Rigorously Valuing the Role of Guam’s Coral Reefs and the Commonwealth of the Northern Mariana Islands’s Coral Reefs in Coastal Hazard Risk Reduction

Estimated Annual Benefits

Maps of Guam and the the Commonwealth of the Northern Mariana Islands showing the distribution of the value of averted direct building damages, indirect economic activity losses, and

Rigorously Valuing the Role of American Samoa’s Coral Reefs in Coastal Hazard Risk Reduction

Estimated Annual Benefits

Maps of American Samoa showing the distribution of the value of averted direct building damages, indirect economic activity losses, and population annually protected from flooding by coral reefs. Results at 10 m² resolution are

Models of magma storage. Part (A) depicts the standard model of magma storage—a single, large body of crystal-poor melt, surrounded by crystalline mush. Although this is the standard 'mush' model, geophysical studies fail to find evidence of this type of magma storage at many active systems. The diagram in (B) shows the updated model for magma storage in large volcanic

Illustration of a typical remotely recoverable sub-surface deployment.

The AVM-measured velocity used to index mean velocity can be the line velocity from one acoustic path or from multiple acoustic paths.

The AVM measures the average water velocity along the acoustic path (VP, figure 1); then computes the "line velocity," the velocity component parallel with the average downstream flow line.

Profilers measure velocities in uniformly-sized cells or bins along the acoustic beams (fig 1). By measuring velocities in a number of bins across a channel or vertically through the water column, these instruments produce horizontal or vertical water velocity profiles, hence the designation "profiler.

Top view of beam orientation and sample volume of a sidelooking ADVM.  The ADVM-measured velocity used to index mean velocity is usually the sample volume x-component of velocity.

A hypothetical configuration of one of the two drained field sites, including a weather station for measuring climate data, a piezometer network for continuous water level measurements, soil moisture probes, and subsurface drainage flow. The third undrained field site will have a similar configuration, with the absence of subsurface drainage flow.

Map of Ecosystems Science Centers and Cooperative Research Unit locations.  

Map of seismicity (yellow circles) in the Yellowstone region during 2019. Gray lines are roads, red line shows the caldera boundary, Yellowstone National Park is

Map of the study region showing the location of lakes in (A) Florida and (B) Ohio. In total, 135 lakes in Florida and 21 lakes in Ohio, were resolvable with the full resolution MERIS data and are used in this study. Land and lakes are shown in gray and blue colors respectively.

The 1880-1881 eruption of Mauna Loa produced lava flows that came within 1.7 km (1.1 mi) of the Hilo Bay shoreline. This painting by Charles Furneaux, "Night View 1880–1881, Eruption from Hilo Bay," illustrates the first two flows as they would have been in November 1880. In reality, however, both flows would not have been visible from this vantage. The story of this

The Georgia chapter of the Minerals Yearbook Volume II - Area Reports, Domestic - contains data and information on the nonfuel mineral commodities produced in Georgia including a generalized map of principal mineral commodity producing areas. The map is included in the PDF version; both PDF and XLS versions of text and data are available.

The World's Water - Distribution of Earth's Water

The Earth is a watery place. But just how much water exists on, in, and above our planet? About 71 percent of the Earth's surface is water-covered, and the oceans hold about 96.5 percent

pH scale thumbnail

The Natural Water Cycle

Earth's water is always in movement, and the natural water cycle, also known as the hydrologic cycle, describes the continuous movement of water on, above, and below the surface of the Earth. Water is always changing states between liquid, vapor, and ice, with these processes happening in the blink of an eye and over

什么是水循环？

什么是水循环？回答这个问题非常容易 ---水循环通常也被称为"水分循环"或"水文循环"，是指水在地球上、地球中以及地球上空的存在及运动情况。地球的水处于不停地运动中，并且不停地变换着存在形式，从液体变成水蒸气再变成冰，然后再循环往复。水循环已经持续了几十亿年，地球上的所有生命都依赖于水循环。如果没有水循环，地球将会是一个毫无生气的地方。

El Ciclo del Agua

El ciclo del agua describe la presencia y el movimiento del agua en la Tierra y sobre ella. El agua de la Tierra esta siempre en movimiento y constantemente cambiando de estado, desde líquido, a vapor, a hielo, y viceversa. El ciclo del agua ha estado ocurriendo por billones de años, y la vida sobre la Tierra depende de él; la

Cykl Hydrologiczny, The Natural Water Cycle, Polish

Czym jest cykl hydrologiczny?

Cykl hydrologiczny (obieg wody w przyrodzie) opisuje istnienie i ruch wody na, w i ponad powierzchnią Ziemi. Woda na Ziemi jest w ciągłym ruchu i zmienia swoje formy, od stanu ciekłego, poprzez gazowy do stałego i na odwrót. Obieg wody trwa od miliardów lat i całe życie na

Vannets kretsløp, The Natural Water Cycle, Norwegian

Vannets kretsløp beskriver forekomsten og bevegelsen av vann oppå, inn i, og over jorden. Jordens vann er hele tiden i bevegelse og det forandrer stadig form fra å være flytende til damp, til is og så tilbake igjen. Vannets kretsløp har fungert i milliarder av år og alt livet på jorden er avhengig av det; uten

Map of locations of the 16 Ecosystems Science Centers and 40 Cooperative Research Units across the U.S. This map includes the USGS Regions and Department of Interior Unified Regions.  

Overview of the high-resolution model grids from: “Dynamically downscaled future wave projections from SWAN model results for the main Hawaiian Islands”

Attachment H:  BLM Multi-Year 3DEP Priority Areas for Data Acquisition

Note: These areas represent BLM FY20 -FY22 priority areas for data acquisition.  BAA funding partners welcome proposal submissions through the BAA that overlap these priority areas. Actual acquisition areas will be defined based on submitted and accepted proposals, as well as analysis of existing

Attachment H: USGS Multi-Year 3DEP Priority Areas for Data Acquisition

Note: These areas represent USGS FY20 -FY22 priority areas for data acquisition.  BAA funding partners welcome proposal submissions through the BAA that overlap these priority areas. Actual acquisition areas will be defined based on submitted and accepted proposals, as well as analysis of

Attachment H: USFS Multi-Year 3DEP Priority Areas for Data Acquisition

Note: These areas represent USFS FY20 -FY22 priority areas for data acquisition.  BAA funding partners welcome proposal submissions through the BAA that overlap these priority areas. Actual acquisition areas will be defined based on submitted and accepted proposals, as well as analysis of

Attachment H: NRCS Multi-Year 3DEP Priority Areas for Data Acquisition

Note: These areas represent NRCS FY20 -FY22 priority areas for data acquisition.  BAA funding partners welcome proposal submissions through the BAA that overlap these priority areas. Actual acquisition areas will be defined based on submitted and accepted proposals, as well as analysis of

Attachment H: NPS Multi-Year 3DEP Priority Areas for Data Acquisition

Note: These areas represent NPS FY20 -FY22 priority areas for data acquisition.  BAA funding partners welcome proposal submissions through the BAA that overlap these priority areas. Actual acquisition areas will be defined based on submitted and accepted proposals, as well as analysis of existing

Attachment H: NOAA Multi-Year 3DEP Priority Areas for Data Acquisition

Note: These areas represent NOAA FY20 -FY22 priority areas for data acquisition.  BAA funding partners welcome proposal submissions through the BAA that overlap these priority areas. Actual acquisition areas will be defined based on submitted and accepted proposals, as well as analysis of

Attachment H: FWS Multi-Year 3DEP Priority Areas for Data Acquisition

Note: These areas represent FWS FY20 -FY22 priority areas for data acquisition.  BAA funding partners welcome proposal submissions through the BAA that overlap these priority areas. Actual acquisition areas will be defined based on submitted and accepted proposals, as well as analysis of existing

Attachment H: FEMA Multi-Year 3DEP Priority Areas for Data Acquisition

Note: These areas represent FEMA FY20 -FY22 priority areas for data acquisition.  BAA funding partners welcome proposal submissions through the BAA that overlap these priority areas. Actual acquisition areas will be defined based on submitted and accepted proposals, as well as analysis of

Attachment H: USDA-ARS Multi-Year 3DEP Priority Areas for Data Acquisition

Note: These areas represent USDA-ARS FY20 -FY22 priority areas for data acquisition.  BAA funding partners welcome proposal submissions through the BAA that overlap these priority areas. Actual acquisition areas will be defined based on submitted and accepted proposals, as well as analysis of

Attachment G: 3DEP FY20 Consolidated High Priority Federal Areas of Interest

Note: These areas represent Federal FY20 high priority areas for data acquisition. BAA funding partners welcome proposal submissions through the BAA that overlap these priority areas.  Actual acquisition areas will be defined based on submitted and accepted proposals, as well as analysis of

Attachment F: 3DEP FY20-22 Federal Areas of Interest

This map reflects current near term federal agency areas of interest for lidar data acquisition. Overlap with these near term federal agency areas of interest is encouraged and is one of several evaluation criteria defined within the BAA, however 3DEP welcomes proposal submissions over the entire United States in