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We developed an Internet of Things (IoT) prototype and associated cloud infrastructure for camera-based data collection and initial processing of river streamflow using the cloud (fig. 1). This pilot successfully created a hardware and cloud infrastructure to collect and upload video from a camera gage at San Pedro Creek in San Antonio, Texas. Using a ThingLogix Foundry instance in the Amazon Webservices Cloud, we have created a cloud framework that can auto-provision new camera-based gaging equipment, as well as process incoming videos into image frames for the computation of streamflow. Additionally, we began testing of serving timeseries data from a camera gage (water level and CPU temperature) using real-time...
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U.S. Geological Survey (USGS) scientists are at the forefront of research that is critical for decision-making, particularly through the development of models (Bayesian networks, or BNs) that forecast coastal change. The utility of these tools outside the scientific community has been limited because they rely on expensive, technical software and a moderate understanding of statistical analyses. We proposed to convert one of our models from proprietary to freely available open-source software, resulting in a portable interactive web-interface. The resulting product will serve as a prototype to demonstrate how interdisciplinary USGS science and models can be transformed into an approachable format for decision-makers....
Wildfires are increasing across the western U.S., causing damage to ecosystems and communities. Addressing the fire problem requires understanding the trends and drivers of fire, yet most fire data is limited only to recent decades. Tree-ring fire scars provide fire records spanning 300-500 years, yet these data are largely inaccessible to potential users. Our project will deliver the newly compiled North American Fire Scar Network — 2,592 sites, 35,602 trees, and > 300,000 fire records — to fire scientists, managers and the public through an online application that will provide tools to explore, visualize, and analyze fire history data. The app will provide raw and derived data products, graphics, statistical summaries,...
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Originally created by Brad Shults, the GitHub repository was created for markdown code used to quality control survey data and create annual survey reports beginning in 2016. The repository can be found on GitHub (‘https://github.com/bsshults/Teshekpuk-Lake-Molt’). A copy of the master branch that was last committed by user “bsshults” (Brad Shults) on 2/24/20 was downloaded by Maggie Harings on 6/29/21 and stored on the Alaska Regional Data Repository (‘GitHub_Annual_Report_Code’). General file naming structure for repository files is: ‘TMGSurvey_Master_[surveyYear]’ Files ending in the file extension ‘.Rmd’ are used to conduct some quality control and data tidying for original survey data. These files contain comments...
Categories: Data, Software; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ALPINE/TUNDRA, ANIMALS/VERTEBRATES, ARCTIC TUNDRA, BIOLOGICAL CLASSIFICATION, BIOLOGICAL RECORDS, All tags...
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This R code (eggs.R) inputs the quality controlled nest card data and (1) performs additional quality control on the egg code data, (2) reformat the eggs data into a tidy file of egg observations, (3) summarizes egg data into yearly means of initiation and hatch date based on incubation model, and (4) writes csv files for tidy egg data (eggs.csv) and yearly nest stats (yearstats.csv).
Categories: Data, Software; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, All tags...
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The InterpretSELDM program is a graphical post processor designed to facilitate analysis and presentation of stormwater modeling results from the Stochastic Empirical Loading and Dilution Model (SELDM), which is a stormwater model developed by the U.S. Geological Survey in cooperation with the Federal Highway Administration. SELDM simulates flows, concentrations, and loads in stormflows from upstream basins, the highway, best management practice outfalls, and in the receiving water downstream of a highway. SELDM is designed to transform complex scientific data into meaningful information about (1) the risk of adverse effects from stormwater runoff on receiving waters, (2) the potential need for mitigation measures,...
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Computational models are important tools that aid process understanding, hypothesis testing, and data interpretation. The ability to easily couple models from various domains such as, surface-water and groundwater, to form integrated models will aid studies in water resources. This project investigates the use of the Community Surface Dynamics Modeling System (CSDMS) Modeling Framework (CMF) to couple existing USGS hydrologic models into integrated models. The CMF provides a Basic Model Interface (BMI), in a range of common computer languages, that enables model coupling. In addition, the CMF also provides a Python wrapper for any model that adopts the BMI. In this project the Precipitation-Runoff Modeling...
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Topock Marsh is a large wetland adjacent to the Colorado River and main feature of Havasu National Wildlife Refuge (Havasu NWR) in southern Arizona. In 2010, U.S. Fish and Wildlife Service (FWS) and Bureau of Reclamation began a project to improve water management capabilities at Topock Marsh and protect habitats and species. Initial construction required a drawdown, which caused below-average inflows and water depths in 2010-2011. Co-applicants Daniels and Haegele of FORT monitored Topock Marsh during the drawdown and immediately after, thus obtained information on immediate effects. However, stress from the drawdown may have a delayed effect on aquatic resources; additionally, significant changes to the infrastructure...
Categories: Data, Software; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2013, AZ-04, Applications and Tools, Arizona, CA-08, All tags...
The dataset is provided as a .zip archive containing two .csv data files. These two data files contain the results of a series of timing runs made with a suite of 28 C test programs and 20 C++ test programs using three different computers and two operating systems (Windows and Linux). All 48 test programs carry out processing of two-dimensional arrays. One of the files, "C_CppTimeTestsAllRecords.csv", contains three replicated times for each of 960 combinations of factor levels that potentially might have affected the time required to process two-dimensional arrays. The other file, "C_CppTimeTestsAverages.csv", contains the average of the three replicated times for each of the 960 combinations of factor levels....
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This is an Rmarkdown file that maps the 2019 plot centers, creates plot polygons, and created the start and end coordinates of the distance sampling transects. Transect end points are written to a csv file for input in field GPS unit to guide field staff during surveys. Running this code will produce the file ‘transects.csv’.
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The USGS assessment and methodology reports cited within this software release require extensive processing using computational methods and modeling. The most demanding aspects of the modeling were performed using publicly available software: SGeMS and GSLIB (See the 'Related External Resources' section on this webpage to learn more about this software). This publication releases the FORTRAN source code of 15 supplementary computer programs that are required to perform the more specific aspects of the modeling. Upon downloading a program, the user needs to use a FORTRAN compiler for generating the executable code. The tasks performed by these FORTRAN programs are: • blankgridsis, for blanking of several realizations...
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NOTE: the Stream Channel and Floodplain Metric Toolbox has been superseded by a newer tool, FACET. The Stream Channel and Floodplain Metric Toolbox was developed to demonstrate the feasibility of mapping fluvial geomorphic features from high-resolution bare-earth elevation data. A Python toolbox for ArcGIS was built to calculate key metrics describing channel and floodplain geometry. Channel and Floodplain Metric Toolbox provides this ability in an automated fashion, allowing for regional analyses based solely on digital elevation models (DEMs). This manual describes the general operation of the toolbox and technical details describing the specific algorithms. The toolbox works best in a watershed no larger than...
The sustainability of coastal water resources is being affected by climate change, sea level rise, and modifications to land use and hydrologic systems. To prepare for and respond to these drivers of hydrologic change, coastal water managers need real-time data, an understanding of temporal trends, and information about how current and historical data compare. Coastal water managers often must make decisions based on information pieced together from multiple sources because the available data and tools are scattered across various databases and websites; to aid coastal water managers, a website that consolidates data from multiple organizations and provides statistical analysis of hydrologic and water quality data...
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The USGS 3D Elevation Program (3DEP) is managing the acquisition of lidar data across the Nation for high resolution mapping of the land surface, useful for multiple applications. Lidar data is initially collected as 3-dimensional “point clouds” that map the interaction of the airborne laser with earth surface features, including vegetation, buildings, and ground features. Generally the product of interest has been high resolution digital elevation models generated by filtering the point cloud for laser returns that come from the ground surface and removing returns from vegetation, buildings, powerlines, and other above ground features. However, there is a wealth of information in the full point cloud on vegetation...
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Increasing attention is being paid to the importance of proper scientific data management and implementing processes that ensure that products being released are properly documented. USGS policies have been established to properly document not only publications, but also the related data and software. This relatively recent expansion of documentation requirements for data and software may present a daunting challenge for many USGS scientists whose major focus is their physical science and who have less expertise in information science. As a proof of concept, this project has created a software solution that facilitates this process through a user-friendly, but comprehensive, interface embedded in an existing...
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A BioBlitz is a field survey method for finding and documenting as many species as possible in a specific area over a short period. The National Park Service and National Geographic Society hosted the largest BioBlitz survey ever in 2016; people in more than 120 national parks used the iNaturalist app on mobile devices to document organisms they observed. Resulting records have Global Positioning System (GPS) coordinates, include biological accuracy assessments, and provide an unprecedented snapshot of biodiversity nationwide. Additional processing and analysis would make these data available to inform conservation and management decisions. This project developed a process to integrate iNaturalist data with existing...
This repository contains a package in Program R which allows for snow depth measurements using a "virtual" snow stake. The package detected the edges of a snow stake in a reference image and superimposes the edges of the snow stake onto other images. The R package is also available on GitHub at https://github.com/kaitlynstrickfaden/edger.
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This R code uses the nest card data (“Nest_Cards_1985_2019_QC.csv”), cumulative observer experience data (“cumnest.csv”), and the output from the detection model to produce nest population estimates for focal species or species groups. Model results used are the the maximum likelihood estimates and covariance matrix from Program Mark for “model 7” or from a Bayesian posterior distribution based on a generalized linear mixed model for detection with random effects for plot, year, and crew. Results from “model 7” are produced only to provide population estimates based on legacy methods as reported in past reports. For final estimates, results from the Bayesian posterior should be used. Result from either model cannot...
Categories: Data, Software; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, All tags...
The USMIN Project is multi-year project of the USGS Mineral Resource Program (MRP) whose objective is to develop a comprehensive geospatial database of the mines, mineral deposits and mineral districts of the United States. This database builds upon MRP projects which date back to the late 1960’s and will provide data that will be of value to other parts of the USGS, other federal and state agencies and the general public. Mine Features, which are defined as “a single human-made object or disturbance associated with mining, such as a shaft or adit (vertical or horizontal opening), tailings, machinery and facilities, etc. A mine can be comprised of one or more features.” are a major component of the database....
map background search result map search result map Decision Support Tool for Water and Resource Management of Topock Marsh Stream Channel and Floodplain Metric Toolbox InterpretSELDM version 1.0 The Stochastic Empirical Loading and Dilution Model (SELDM) output interpreter 2023 Alaska Goose, Swan, and Crane Population Indices R Quarto Code Teshekpuk Lake Alaska Molting Goose GitHub Markdown Code for Annual Survey Reports Alaska Yukon Delta Nest Distance Sampling Plot Centers and Transects Alaska Yukon Delta Nest Population Estimation Code Using R Alaska Yukon Delta Tidy Eggs data R Code Decision Support Tool for Water and Resource Management of Topock Marsh Alaska Yukon Delta Nest Distance Sampling Plot Centers and Transects Teshekpuk Lake Alaska Molting Goose GitHub Markdown Code for Annual Survey Reports Alaska Yukon Delta Nest Population Estimation Code Using R Alaska Yukon Delta Tidy Eggs data R Code InterpretSELDM version 1.0 The Stochastic Empirical Loading and Dilution Model (SELDM) output interpreter Stream Channel and Floodplain Metric Toolbox 2023 Alaska Goose, Swan, and Crane Population Indices R Quarto Code