Purpose:Study Area support map for Kanab Downtown / US-89 Transportation Corridor Study storymap. It was originally created by Civil Science and was transferred ownership to UDOT, Region 4. Support data was transferred to Regions Portal on 11/15/2024 and 11/16/20024.Project Manager: Larry Johnson | Project Engineer: Civil ScienceLast Modified by: Brandon Weight | Last Modified on: 11/10/2020Study Completed on: 11/10/2020Go Live Date:11/10/2020Project PIN:17970ePM Project Name:Kanab Regional Transportation Corridor StudyOwner:Bracken Davis (udotgisr4@utah.gov)Update Interval:Data was created as part of the study and will not be updated.Data Input Method:Data was created as part of project study and estimated design.Support Layers:Kanab_UDOTVisionStudy_background feature layerAssociated Apps:Kanab Downtown / US-89 Transportation Corridor Study StoryMapGoal 1 StoryMapGoal 2 StoryMapGoal 3 StoryMapGoal 1 WebmapGoal 2 WebmapGoal 3 WebmapSpeed Study WebmapExpected Life of Data:Data is expected to be used until all projects are considered, installed or abandoned. Then the project will be archived.

The map displays the study area boundaries submitted and certified by incumbent local exchange carriers and state commissions through May 5th, 2016. As a result of confidentiality requests, certain boundaries for Verizon and AT&T are not displayed.

This dataset describes the boundary of the study area used to analyze regeneration and change in status of native ohia forests in the wet habitat on the eastern side of the island of Hawaii. This area includes forests that were heavily impacted by landscape-level canopy dieback in the 1970s as well as forests that were not affected with tree canopy death or defoliation.

For complete collection of data and models, see https://doi.org/10.21942/uva.c.5290546.Map package for use in ArcGIS Pro containing three-tiered geomorphological data and geographical datasets such as rivers, roads and hillshading. Datasets were used to generate figures for publication: Hierarchical geomorphological mapping in mountainous areas. Matheus G.G. De Jong, Henk Pieter Sterk, Stacy Shinneman & Arie C. Seijmonsbergen. Submitted to Journal of Maps 2020, revisions made in 2021. All data is in MGI Austria GK West projected coordinate system (EPSG: 31254) and was clipped to the study area.

This is the study area associated with the project: “Status and Trends of Deciduous Communities in the Bighorn Mountains”. The aim of the study is to assess the current trends of deciduous communities in the Bighorn National Forest in north-central Wyoming. The data here represents phase I of the project, completed in FY2017. The USGS created a synthesis map of coniferous and deciduous communities in the Bighorn Mountains of Wyoming using a species distribution modeling approach developed in the Wyoming Landscape Conservation Initiative (WLCI) (Assal et al. 2015). The modeling framework utilized a number of topographic covariates and temporal remote sensing data from the early, mid and late growing season to capitalize on phenological differences in vegetation types. We used the program RandomForest in the R statistical program to generate probability of occurrence models for deciduous and coniferous vegetation. The binary maps were combined into a synthesis map using the procedure from Assal et al. 2015. In Phase II of this project (to be completed in FY2018 and 2019), the USGS will conduct a preliminary assessment on the baseline condition of riparian deciduous communities. This will be a proof-of-concept study where the USGS will apply a framework used in prior research in upland aspen and sagebrush communities to detect trends in riparian vegetation condition from the mid-1980s to present. Literature Cited Assal et al. 2015: https://doi.org/10.1080/2150704X.2015.1072289

A map of the study area showing location of sites.

A map showing the study area location on the George Washington National Forest (inset) and kriged fire frequency raster layer for the study area, created from 158 wildfire occurrences during the period of 1983–2000, used in the classification tree and GIS-based predictive habitat modeling.

This map shows the study area for the I-380 corridor as part of the PEL.

This polygon is a combination of political boundaries, Kansas LiDAR coverage extent boundaries, and USGS HUC-12 boundaries from the National Hydrography Dataset (NHD). It covers most of western Kansas from border (CO) to border (NE) to border (OK). Its eastern boundary is defined largely by the “potential playa area mask” developed from the loess soils class polygons contained in the Kansas Surface Geology layer developed by the Kansas Geological Survey. In some locations, the study area was extended beyond the playa area mask according to other interests. [December 15, 2022]

This data release for the reconnaissance geologic map of the Hells Canyon Study Area, Wallowa County, Oregon, and Idaho and Adams Counties, Idaho, is a Geologic Map Schema (GeMS, 2020)-compliant version of the geologic map published in U.S. Geological Survey (USGS) Scientific Investigations Report Map SIR 2007-5046 (Simmons, et al, 2007). The database represents the geology for the 625,177-acre (2,530 square kilometers), geologically complex Hells Canyon Study Area in two plates, at a publication scale of 1:48,000. The study area includes (1) the Hells Canyon Wilderness; (2) parts of the Snake River, Rapid River, and West Fork Rapid River Wild and Scenic Rivers; (3) lands included in the second Roadless Area Review and Evaluation (RARE II); and (4) part of the Hells Canyon National Recreation Area. References: Simmons, G.C., Gualtieri, J.L., Close, T.J., Federspiel, F.E., and Leszcykowski, A.M., 2007, Mineral resources of the Hells Canyon study area, Wallowa County, Oregon, and Id ...

One of the largest hydraulic mines (1.6 km2) is located in California’s Sierra Nevada within the Humbug Creek watershed and Malakoff Diggins State Historic Park (MDSHP). MDSHP’s denuded and dissected landscape is composed of weathered Eocene auriferous sediments susceptible to chronic rill and gully erosion whereas block failures and debris flows occur in more cohesive terrain. This data release includes a 2014 digital elevation model (DEM), a study area boundary, and a geomorphic map. The 2014 DEM was derived from an available aerial LiDAR dataset collected in 2014 by the California Department of Conservation. The geomorphic map was derived for the study area from using a multi-scale spatial analysis. A topographic position index (TPI) was created using focal statistics to compare the elevations across the study area. We calculated a fine-scale TPI using a circular neighborhood with a radius of 25-meters and large-scale TPI using a circular neighborhood with a radius of 100-meters. In the resulting raster positive TPI values are assigned to cells with elevations higher than the surrounding area and negative TPI values are assigned to cells with elevations lower than the surrounding area. The geomorphic map was then created using a nested conditional statement to apply classification thresholds on the basis the fine and large-scale TPI rasters and a slope raster. Ten geomorphic feature classes were defined and the map can be symbolized by feature class. The geomorphic map includes both channel and hillslope features and can be used to assess erosional and depositional processes at the landscape scale.

The General Plan addresses all lands located in the Planning Area, which comprise both the City limits and an area located beyond the City that relates to its future planning goals. Within the Planning Area, four areas have been identified for potential expansion of the City limit. These areas are referred to as Study Areas, as described below.The North Study Area is an approximately 646-acre area adjacent to both the northeastern corner of the City limits and to Grant Line Road near the Sheldon area. The eastern boundary generally follows the 100-year floodplain boundaries.The East Study Area is an approximately 1,772-acre area southeast of Grant Line Road, running along the City boundary between existing 5-acre developments along Equestrian Drive and the railroad tracks to the southwest.The South Study Area is an approximately 3,675-acre area south of the City limit, with the north boundary at Kammerer Road; the south boundary at Eschinger Road, and the southeast corner dipping south and following the Cosumnes River back northeast to the east boundary at State Route 99; and the west boundary following Bruceville Road.The West Study Area is an approximately 1,914-acre area south of the City limit with a north boundary at Bilby Road; an east boundary along Bruceville Road; a south boundary at Eschinger Road, then north along Ed Rau Road and back west along Core Road; and a west boundary at the Union Pacific Railroad tracks.

The BOREAS HYD-09 team collected data on precipitation and streamflow over portions of the NSA and SSA. This data set contains Cartesian maps of rain accumulation for 1-hour and daily periods during the summer of 1994 over the SSA only (not the full view of the radar). A parallel set of 1-hour maps for the whole radar view has been prepared and is available upon request from the HYD-09 personnel. An incidental benefit of the areal selection was the elimination of some of the less accurate data, because for various reasons the radar rain estimates degrade considerably outside a range of about 100 km. The data are available in tabular ASCII files.

The Quabbin to Cardigan Initiative (Q2C) is a collaborative, landscape-scale effort to conserve the Monadnock Highlands of western New Hampshire and north-central Massachusetts. These data show the extent of the Q2C Initiative as approximated by town boundaries.The actual extent of Q2C conservation efforts may extend somewhat beyond this municipal outline. For more information see the Quabbin to Cardigan Conservation Plan Technical Report (2008) prepared by Dan Sundquist of the Society for the Protection of New Hampshire Forests.

In September 2017, Hurricane Maria caused widespread landsliding throughout mountainous regions of Puerto Rico. Nearly all landslides mobilized as debris flows (Bessette-Kirton et al., 2019), but herein, we simply use the term “landslides” when describing all types of slope failures that occurred during Hurricane Maria. To examine the extent and physical characteristics of landslides in severely impacted areas (defined as having high landslide density (>25 landslides/km2) by Bessette-Kirton et al., 2017, 2019), we mapped individual landslides at scales between 1:600 and 1:1,000 in four 2.5 km2 study areas in the Mayagüez/Añasco/Las Marías (LAM1), Las Marías/Lares (LAM2), Naranjito (NAR), and Utuado (UTU) municipalities. We used aerial imagery collected between 9-15 October 2017 (Quantum Spatial, Inc., 2017) to map landslide source and runout areas. In addition to imagery, we used 1 m-resolution pre-event LiDAR (U.S. Geological Survey, 2018) as a digital base map for our mapping ...

Amur honeysuckle bush (Lonicera maackii) and Morrow's honeysuckle (Lonicera morrowii) are two of the most aggressively invasive species to become established throughout areas along the Blue River in metropolitan Kansas City, Missouri. These two large, spreading shrubs (locally referred to as bush honeysuckle in the Kansas City metropolitan area) colonize the understory, crowd out native plants, and may be allelopathic, producing a chemical that restricts growth of native species. Removal efforts have been underway for more than a decade by local conservation groups such as Bridging The Gap and Heartland Conservation Alliance, who are concerned with the loss of native species diversity associated with the spread of bush honeysuckle. Bush honeysuckle produces leaves early in the spring before almost all other vegetation and retains leaves late in the fall after almost all other species have lost their leaves. Appropriately timed imagery can be used during early spring and late fall to map the extent of bush honeysuckle. Using multispectral imagery collected in February 2016 and true color aerial imagery collected in March 2016, a coverage map of bush honeysuckle in the study area was made to investigate the extent of bush honeysuckle in a study area along the middle reach of the Blue River in the Kansas City metropolitan area in Jackson County, Missouri. The coverage map was further classified into unlikely, low-, and high-density bush honeysuckle density at a 30-foot cell size. The unlikely density class correctly predicted the absence and approximate density of bush honeysuckle for 86 percent of the field-verification points, the low-density class predicted the presence and approximate density with 73-percent confidence, and the high-density class was predicted with 67-percent confidence. This data was used to support the project work described in: Ellis, J.T., 2018, Remote sensing of bush honeysuckle in the Middle Blue River Basin, Kansas City, Missouri, 2016–17: U.S. Geological Survey Scientific Investigations Map XXXX, 1 sheet., https://doi.org/xxxx.

In late September 2017, intense precipitation associated with Hurricane Maria caused extensive landsliding across Puerto Rico. Much of the Lares municipality in central-western Puerto Rico was severely impacted by landslides., Landslide density in this region was mapped as greater than 25 landslides/km2 (Bessette-Kirton et al., 2019). In order to better understand the controlling variables of landslide occurrence and runout in this region, three 2.5-km2 study areas were selected and all landslides within were mapped in detail using remote-sensing data. Included in the data release are five separate shapefiles: geographic areas representing the mapping extent of the four distinct areas (map areas, filename: map_areas), initiation location polygons (source areas, filename: SourceArea), polygons of the entire impacted area consisting of source, transport, and deposition (affected areas, filename: AffectArea), points on the furthest upslope extent of the landslide source areas (headsc ...

Map packages for use in ArcGIS Pro or ArcMap containing three-tiered geomorphological data and geographical datasets such as rivers and hillshading. Datasets were used to generate figures for publication: Hierarchical geomorphological mapping in mountainous areas. 2021. Matheus G.G. De Jong, Henk Pieter Sterk, Stacy Shinneman & Arie C. Seijmonsbergen. Journal of Maps. All data is in MGI Austria GK West projected coordinate system (EPSG: 31254) and was clipped to the study area.

ABSTRACT This paper presents a GIS methodological approach for mapping forest landscape multifunctionality. The aims of the present study were: (1) to integrate and prioritize production and protection functions by multicriteria spatial analysis using the Analytic Hierarchy Process (AHP); and (2) to produce a multifunctionality map (e.g., production, protection, conservation and recreation) for a forest management unit. For this, a study area in inner Portugal occupied by forest and with an important protection area was selected. Based on maps for functions identified in the study area, it was possible to improve the scenic value and the biodiversity of the landscape to mitigate fire hazard and to diversify goods and services. The developed methodology is a key tool for producing maps for decision making support in integrated landscape planning and forest management.