Lmst

#3dep

The Feasibility Of Using LiDAR-Derived Digital Elevation Models [DEMs] For Gravity Data Reduction
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https://www.usgs.gov/3d-elevation-program/news/feasibility-using-lidar-derived-digital-elevation-models-gravity-data <-- shared article
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https://pubs.usgs.gov/publication/ofr20251019 <-- shared report
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“A nice report from our colleagues in the USGS Mineral Resources Program on the feasibility of lidar-derived DEMs, including 3DEP data, for gravity data reduction…”
#GIS #spatial #mapping #3dep #elevation #fedscience #remotesensing #earthobservation #gravity #submetre #accuracy #precision #dGNSS #GNSS #global #navigation #satellite #GPS #LiDAR #DEMs #gravimetrics #milligals #Bouguer #anomaly #monitoring #corrleation #refinement #datareduction #appliedscience #usecases
@USGS

Fluvial System Block Diagrams
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I was looking to understand a fluvial system the other day, up in the high Arctic, as I looked at 3DEP remote sensed elevation data… I have always been fascinated by the how geology, water, weather shapes a landscape, including erosion (aka geomorphology if you will) – and realized how very much value fluvial block diagrams have as we try to conceptualise what has, is and will happen(ed.)
#spatial #spatiotemporal #morphology #meander #levee #understanding #oxbow #pointbar #river #water #hydrology #landform #geomorphology #geomorphometry #geology #fluvial #riverine #weather #climate #erosion #sediment #sedimentation #Arctic #3dep #opendata #DEM #BeringSea #northslope #opendata #fedservice

I Am Proud To Be Part Of The Integrated Team Generating and Publishing An Open Data 3DHP Hydrology Spatial Data Product For The Nation At The USGS
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https://doi.org/10.5066/P148NT7B <-- shared product DOI
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https://commons.datacite.org/doi.org?query=10.5066%2FP148NT7B <-- shared DateCite repository record
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https://3dhp.nationalmap.gov/ <-- 3DHP data is also available via a USGS spatial data service (with select & export capability)
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[‘my’ first product DOI generation & publication as well ~smile~]
#GIS #spatial #mapping #data #water #hydrology #LiDAR #EDH #elevationderivedhydrography #3DHP #opendata #publicdata #DOI #stagedproducts #3DTNM #3DEP #NHD #national #USA #nonproprietary #waterresources #spatialanalysis #model #modeling #3d #vector #schema #DOI#geopackage #filegeodatabase #metadata #XML
@USGS

screen shot - USGS Staged Products download page - 3DHP datasets

screen shot - DateCite repository new record - 3DHP datasets

screen shot - USGS Science Base page page - 3DHP datasets - GeoPackage - Alaska

image - LiDAR-derived - portion of Laguna Creek, CA

Happy New Year and Happy Mapping in 2025!

I plan to boost some #introductions over the next few weeks. It's exciting to see a new wave and I hope that you enjoy the Fediverse!

In the meantime, I've been working on refining a recipe for relative elevation models (REMs) using Dan Coe's methods. My 2025 goal is to cover most of the #Virginia rivers, but we'll see.

Check out @FediTips for tips on how to use Masto.

#GIS #gischat #3DEP #Rappahannock #RVA

Relative Elevation Model of the Rappahannock River in central Virginia, United States. River is shown in various shades of blue to white on a black background.

Postfire Debris-Flow Hazards
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https://www.usgs.gov/programs/landslide-hazards/science/postfire-debris-flow-hazards <-- shared technical article / overview
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http://alturl.com/po3yj <-- USGS Post-Fire Debris Flow Hazard Assessment Viewer
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https://earthquake.usgs.gov/arcgis/rest/services/ls/ <-- Post-Fire Debris-Flow Hazards USGS spatial data / GIS Services
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#GIS #spatial #mapping #USGS #LandslideHazardsProgram #NaturalHazards #3DEP #NGP #NationalGeospatialProgram #GIRT #GeospatialInformationResponseTeam #GIS #geology #hydrospatial #hydrology #landslides #debrisflows #fires #postfire #lidar #elevationdata #hazardassessments #preparedness #massmovement #engineeringgeology #risk #hazards #impacts #cost #economics #geomorphology #geomorphometry #spatialanalysis #spatiotemporal #remotesensing #soil #model #modeling #LosAngeles #LA #LosAngelesfires #California #wildfires #opendata
@USGS

photo - A home damaged by the January 9, 2018 debris flow event in Montecito, California. The event was triggered by heavy rain on the Thomas Fire burn area above Montecito. This home is located near Buena Vista Creek.

screen shot centered on LA - USGS Post-Fire Debris Flow Hazard Assessment Viewer (web map)

photo - Debris Flow in Cable Canyon following the 2003 Old Fire in the San Bernardino Mountains, California

photo - Post-fire debris flow depositing ash and sediment on a steep hillside, 2021 Dixie Fire in northern CA

Collaboration Advances Elevation Mapping – USGS EROS And NGTOC Work Together To Map A 1 Metre Digital Elevation Model For A Watershed
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https://www.usgs.gov/centers/eros/news/collaboration-advances-elevation-mapping <-- shared technical article
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https://doi.org/10.5066/P1CEPE2M <-- USGS data release, Lower Androscoggin Watershed Hydrologic Unit 8 Seamless 1-m DEM Pilot, 2013 to 2020
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#GIS #spatial #mapping #remotesensing #LiDAR #water #hydrology #3dep #3dhp #3dtnm #NGTOC #spatialanalysis #elevation #DEM #EROS #seamlessonemeter #Androscoggin #ME #maine #research #integration #watershed #opendata
@USGS | @USGS_EROS

schematic - this graphic depicts an airborne lidar system, a remote sensing detection system that uses light from a laser. The quick light pulses measure the distance from the plane to the surface and back. GPS is used to help pinpoint location and time for greater accuracy.

map - the seamless 1-meter Digital Elevation Model (DEM) for the Lower Androscoggin watershed in Maine, produced by scientists at NGTOC and EROS. Elevations run from low elevation in light blue on up to tan, green, yellow, red and finally gray/white. The lowest point in the watershed is -.109777 meters, and the highest is 1,916.04 meters.

map / thumbnail - Lower Androscoggin watershed in Maine

This photo was taken at USGS gaging station 01055000 on the Swift River near Roxbury, Maine. The falls is most commonly referred to as Swift River Falls and has many potholes and scours that demonstrate the impressive ability of water to errode rock.

Adding 3D Elevation Program's Dynamic Elevation Web Coverage Services To ArcGIS Pro And AGOL [training video]
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https://www.usgs.gov/ngp-user-engagement-office/news/new-training-video-dynamic-elevation-service-arcgis-pro-and-agol <-- shared technical article
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https://youtu.be/sDEMHT2CmZw?si=u90-966VvslM6RXc <-- shared video
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https://www.usgs.gov/3d-elevation-program/about-3dep-products-services <-- about 3DEP products & services
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https://apps.nationalmap.gov/services/ <-- link to USGS National Map Web Services
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#GIS #spatial #mapping #elevation #LiDAR #ifSAR #3dep #ArcGISPro #AGOL #training #video #learning #NationalMap #services #raster #topography #opendata #DynamicElevationWebCoverageService #DigitalElevationModels #DEM #DTM #onlinelearning #tutorial
@USGS

screen shot - ArcGIS Pro - 3D view of landsurface elevation data

screen shot - USGS training video - Adding 3D Elevation Program's Dynamic Elevation Web Coverage Services To ArcGIS Pro And AGOL

map - ifSAR data of ground surface created by poster, near Kaktovik Alaska on the Beaufort Sea / Arctic

map/image - LiDAR image, Laguna Creek

Elevation-Derived Hydrography [EDH] - The USGS’s Rich New Hydrological Features Dataset
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https://doi.org/10.2489/jswc.2024.0314A <-- shared paper
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https://pubs.usgs.gov/publication/tm11B12 <-- USGS EDH Representation, Extraction, Attribution, and Delineation Rules reference publication
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https://www.usgs.gov/3d-hydrography-program <-- shared link to the USGS 3DHP page
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[in my role, I have the pleasure of working with the valuable EDH process(es) and the data it produces on a daily basis]
#GIS #spatial #mapping #water #hydrology #hydrography #3dep #edh #3dhp #elevationderivedhydrography #opendata #elevation #dem #dtm #interpretation #waterfeatures #usecase #waterresources #floodmodeling #alignment #model #modeling #dataset #naturalresources #costs #benefits #economics #businessuse #publicdata #spatialanalysis #USA #USGS
@USGS

map - Geomorphon index data overlaid on hillshade data for Elevation-Derived Hydrography production

maps - (a) Using contours and (b) geomorphon index to validate and refine stream location in Elevation-Derived Hydrography dataset.

maps - Progression of developing derived stream features from a Digital Elevation Model (left to right).

LiDAR base map / image - stream and road, false colour

New USGS Dataset Uncovers The Santiam River’s Underwater Topography To Aid In Fish Habitat And Water Flow Management
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https://www.usgs.gov/news/national-news-release/new-usgs-dataset-uncovers-santiam-rivers-underwater-topography-aid-fish <-- shared article
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https://apps.nationalmap.gov/lidar-explorer/#/ <-- USGS 3DEP LiDAR Explorer (open data)
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#GIS #spatial #mapping #remotesensing #LiDAR #topobathymetry #topobathy #example #usecase #wildfires #rivermanagement #climatechange #waterresources #SantiamRiver #Oregon #KlamathRiver #PotomacRiver #ColoradoRiver #USGS #USACE #3DEP #opendata #topography #elevation #3DTNM #water #hydrology #hydrospatial #pilotproject #prototype #infrastructure #navigation #engineering #riverbed #sediment #sedimentation #habitat #river #waterbody #flowmanagement #dams #salmon #steelhead #fish #WillametteValley #flood #flooding #risk #hazard #model #modeling #FIM #watersupply #agriculture
@USGS @USACE

screen shot - 3DEP LiDAR Explorer - Santiam River, OR's topobathy dataset(s)

imagery - Topobathymetric digital elevation model of the Santiam River in the Willamette Valley southeast of Salem, Oregon. The trees and dry land are shown as a lidar point cloud colored based on aerial imagery.

drone photo - oblique - The North Santiam drains from the Cascade Range and through the Willamette Valley foothills where it combines with the South Santiam before joining the Willamette River near Salem. The river in this section has numerous gravel bars and secondary channels and is flanked by agricultural lands and floodplain forests.

map - Topobathymetric digital elevation model of the Santiam River in the Willamette Valley southeast of Salem, Oregon.

Getting Started On Diagramming This Project’s Workflow, ‘Old School’
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Couple of 10s of pages of data inventory, roles and responsibilities, even the start of a RACI, pot of good black tea – now time to get started on diagramming this project’s workflow, components, interim data products, R&R, development and more #oldschoool, ready for full team involvement – ‘helpers’ notwithstanding!
#GIS #spatial #mapping #opendata #water #hydrology #3dep #edh #3dhp #datadelivery #3dhedit #3dtnm #rolesandresponsibilities #RACI #5W1H #workflow #planning #pm #projectmanagement #integration

photo - cat sitting on top of the start of my work flow diagramming

Consolidated Standardized Survey-Grade Checkpoints 3DEP 2010 to 2017 [USGS]
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https://www.sciencebase.gov/catalog/item/67075e6bd34e969edc59c3e7
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“One of the key aspects of 3DEP data is that data is verified by a collection of certified survey-grade GNSS checkpoints spread throughout each project. These points have always been available but were difficult to find and not standardized. [The USGS] have collated and standardized almost 42,000 of these checkpoints and are making them available for other uses. These points here in this first phase span from 2010-2017, but [the USGS] are in the process of making these available for all [their] projects, and hope to enable them in different ways in the future...”
#GIS #spatial #mapping #USGS #USA #elevation #opendata #remotesensing #LiDAR #ifSAR #3dep #3dhp #water #hydrology #3d #opendata #3dtnm #checkpoint #checkpointdigital #GNS #GPS #NGD #DEM #survey #surveygrade #accuracy #precision #calibration #digital #NGTOC #NAD83
@USGS

screen shot - the 40k± Consolidated Standardized Survey-Grade Checkpoints 3DEP 2010 to 2017

image / map - LiDAR shaded relief (sic) of Tennessee area

image - graphical representation of farmland made with LiDAR and other datasets

image - LiDAR data of trees and ground surface

Lesson 10k1 - Using LiDARExplorer [USGS National Map training video]
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https://youtu.be/36cfnwFWzj4?si=Ne5uk_jjbAjIaSGE <-- shared technical tutorial video
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https://apps.nationalmap.gov/lidar-explorer/#/ <-- link to USGS app
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https://www.usgs.gov/3d-elevation-program <-- USGS 3DEP home page
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“This [USGS] National Map training video is an introduction to using the LidarExplorer application to easily access lidar data and derived products. In LidarExplorer, you can search for lidar projects, digital elevation models, and lidar point cloud files to meet your needs…”
#GIS #spatial #mapping #remotesensing #LiDAR #LidarExplorer #app #webmap #data #opendata #NationalMap #training #video #tutorial #selfhelp #onlinelearning #3dep #US #USA #DEM #elevation
@USGS

screen shot - training video

screen shot - LidarExplorer

screenshot - LidarExplorer

image - LiDAR image of a mine in Nevada

USGS Releases ‘The 3D National Topography Model [3DTNM] Call For Action - Part 1: The 3D Hydrography Program [3DHP]’
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https://www.usgs.gov/news/technical-announcement/now-available-usgs-releases-3d-national-topography-model-call-action <-- technical announcement
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https://pubs.usgs.gov/publication/cir1519 <-- USGS Circular 1519 publication link
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https://www.usgs.gov/3DHP <-- shared USGS 3DHP home page
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https://internetofwater.org/ <-- shared Internet of Water home page
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[ nice to see this, although I am maybe biased ~wink~ ]
#GIS #spatial #mapping #water #hydrology #surfacewater #3D #opendata #3DHP #3DEP #EDH #3DTNM #elevationderivedhydrology #topography #hydrography #CallForAction #publicdata #HYFeatures #opensource #IOW #InternetOfWater #DEMs #digitalinfrastructure #waterresources #resourcemanagement #inventory #planning
@USGS

Maps showing the improved alignment possible in the 3D Hydrography Program by using hydrography data derived from high-quality elevation data from the 3D Elevation Program (3DEP). The example maps show topography and streams near the border between Skagit and Snohomish Counties in Washington.

map - Example of hydrography derived from 3DEP lidar data for a section of the Marshyhope Creek near Federalsburg, Maryland.

Block diagram showing elevation data being collected over natural and human-made environments. Built using high- resolution 3D Elevation Program and 3D Hydrography Program data, the 3D National Topography Model (3DNTM) will incorporate other critical landscape information such as landcover, structures, transportation, and geology to inform a comprehensive understanding of the landscape to enable data-driven decisions and science. The 3DNTM aspires to augment today’s airborne-acquired elevation data with data acquired from a variety of platforms including satellite, drone, and potentially others. Hydrography data for lakes, rivers, and reservoirs will be derived from that elevation data to form an integrated representation of the landscape that can be connected with other water features such as wetlands and groundwater.

Digial elevation model of USGS site 365149109492300 Laguna Creek below Dennehotso near Kayenta, AZ.

U.S. Landslide Inventory and Susceptibility Map [updated, USGS]
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https://www.usgs.gov/tools/us-landslide-inventory-and-susceptibility-map <-- shared technical resource, with map and county-level metrics are available as structured data
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http://alturl.com/ztxbs <-- shared link to USGS Landslide Susceptibility WebMap
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https://www.usgs.gov/media/videos/parsimonious-landslide-susceptibility-modeling-continental-scales-a-new-high <-- shared video overview
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https://doi.org/10.1029/2024AV001214 <-- shared paper
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https://doi.org/10.5066/P13KAGU3 <-- shared 2024 USGS technical publication
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#GIS #spatial #mapping #model #modeling #spatialanalysis #geology #engineeringgeology #massmovement #landslide #spatialanalysis #historicdata #webmap #USA #3dep #elevation #topography #geomorphometry #geomorphology #risk #hazard #riskreduction #suspectibility #opendata #remotesensing #database #compilation #inventory #terrain #landuse #planning
@USGS

screenshot - USGS landslide susceptibility webmap

Map of the United States and Puerto Rico (with state abbreviations shown) comparing percentage of landslide susceptible terrain from the N10 model to density of mapped landslides from the national inventory compilation (Belair et al., 2022) for each U.S. county.

Map of landslide susceptibility (∼90-m) for (a) conterminous United States (CONUS), (b) Alaska, (c) Puerto Rico, and (d) Hawaii based on our nonlinear threshold N10 model with a 10th percentile cutoff. Cell colors note the number of 10-m cells within a 90-m grid cell where the slope-relief threshold is exceeded. Cell counts are classified using equal interval bins. Susceptibility maps do not account for the likely frequency or magnitude of landslides; this map reflects the degree to which local topographic conditions are consistent with our previously observed landslides across the country.

Oblique aerial photograph of the 2014 landslide in northwest Washington. This image shows the entire extent of the landslide source area and path. This event is commonly named the “Oso Landslide” in many official reports.

New Study Seeks To Shed Light On Earthquake Hazards In The Gallatin Range
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https://www.usgs.gov/observatories/yvo/news/new-study-seeks-shed-light-earthquake-hazards-gallatin-range <-- shared technical article
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#GIS #spatial #mapping #remotesensing #LiDAR #earthquake #fault #scarps #faulting #opendata #3dep #NGTOC #ruptures #surfaceexpression #risk #hazard #geology #engineeringgeology #geomorphology #geomorphmetry #seismology #elevation #topography #EastGallatin #ReeseCreek #faultsystem #EGRCFS #GallatinRange #GardnersHole #Yellowstone #Wyoming #Montana #USA #glaciation #superposition #dating #geologichistory #NationalSeismicHazardModel #model #modeling #spatialanalysis #spatiotemporal #massmovement #hydrothermal #YellowstoneNationalPark
@USGS

photo - View to the southwest of the eastern front of the Gallatin Range from Gardners Hole. The East Gallatin-Reese Creek fault system runs along the base of the range at the prominent break-in-slope in the trees.

maps - Lidar hillshade maps of fault scarps that offset Pinedale glacial till along the East Gallatin-Reese Creek fault system (EGRCFS) near Fawn Creek (A) and Panther Creek (B). Fault scarps are visible as darker lineaments in the hillshade and are marked by the black arrows. Red rectangles on inset maps show location along the EGRCFS.

map - Shaded relief location map for the East Gallatin-Reese Creek fault system (EGRCFS) in northwest Yellowstone National Park (YNP). The location of the EGRCFS is shown as mapped in the U.S. Geological Survey Quaternary Fault and Fold Database, subdivided into the southern East Gallatin section (blue dashed line) and the northern Reese Creek section (black dashed line). Red rectangle on inset map shows location within Yellowstone National Park.

3D Elevation [3DEP] Data Crucial To Supporting The Nation’s Infrastructure And Maintaining Economic Security
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https://www.usgs.gov/news/featured-story/3d-elevation-data-crucial-supporting-nations-infrastructure-and-maintaining <-- link to article
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https://www.usgs.gov/3d-elevation-program <-- USGS 3DEP home page and access to open data
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https://www.usgs.gov/3d-national-topography-model/fy24-3dep-data-collaboration-announcement-dca-selected-projects <-- 3DEP Data Collaboration Selected Projects
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#GIS #spatial #mapping #LiDAR #opendata #USA #elevation #remotesensing #3DEP #topography #economy #economicbenefits #economicsecurity #infrastructure #national #3d #pointcloud #usecase #appliedscience #business #construction #IfSAR #bareearth #datacollaboration
@USGS

graphic / model - LiDAR-derived digital elevation model (DEM) over Zion National Park, Utah

graphic / model / map - 3D view of city from LiDAR data

map/graphic - digital elevation model from LiDAR of Laguna Creek, Kayenta, Arizona

Assessing The Vertical Accuracy Of Digital Elevation Models By Quality Level And Land Cover
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https://doi.org/10.1080/2150704X.2024.2368924 <-- shared paper
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#GIS #spatial #mapping #USGS #3dep #elevation #LiDAR #vertical #accuracy #precision #risk #hazard #coast #coastal #landcover #landuse #flood #flooding #stormsurge #geostatistics #spatialstatistics

chart - Boxplots of differences between elevation checkpoints and digital elevation models developed for the Atlantic and Gulf of Mexico coasts of the United States, grouped by land cover type.

model / map / 3D graphic - point cloud representation of a coastal area with docks and buildings, etc

map(s) - State-level distribution of checkpoints and land cover types used to assess the vertical accuracy of digital elevation models along the Atlantic and Gulf of Mexico coasts of the United States.

photo - shoreline, South Padre Island

Shaded Relief Map Of Manhattan, New York - Made From USGS LiDAR Data
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https://visualwallmaps.com/ <-- link to the cartographer’s commercial page [not considered an endorsement]
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https://www.usgs.gov/3d-elevation-program <-- access to 3DEP open data USA elevation datasets via the USGS
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#GIS #spatial #mapping #DEM #3dep #elevation #LiDAR #cartography #opendata #USGS #USA #shadedrelief #representation #visualisation #Manhattan #NewYork #NYC #NewYorkCity #mapmaking #3d #3drendering

image - 3D rendering of Lower Manhattan, NYC (aka zoom)

image - 3D rendering of Manhattan, NYC

Moving Mountains - Reevaluating The Elevations Of Colorado Mountain Summits Using Modern Geodetic Techniques
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https://doi.org/10.1007/s00190-024-01831-8 <-- shared paper
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#GIS #spatial #mapping #NAVD88 #NAPGD2022 #Fourteeners #Colorado #elevation #3dep #geoid #mountains #mountain #orthometric #gnss #model #modeling #3dmodeling #numericmodeling #geostatistics #LiDAR #ellipsoidal #gravity #geopotential
@USGS @ngs

photo - Uncompahgre Peak, San Juan Mountains, Colorado

map - Distribution of Fourteeners throughout Colorado

maps - Estimated difference between NAPGD2022 and NAVD 88, CONUS, USA

map - Terrestrial gravity distribution in Colorado used in the geoid modeling.

Stochastic Soaring Raptor Simulator (SSRS)
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https://github.com/NREL/SSRS <-- shared GitHub repository
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https://doi.org/10.1016/j.ecolmodel.2022.109876 <-- shared paper
--
#GIS #spatial #mapping #remotesensing #birds #eagles #soaring #raptors #windenergy #windturbines #model #modeling #numericmodeling #elevation #opendata #3dep #stochasticmodel #impacts #raptorstrike #3d #orographic #spatialanalysis #spatiotemporal #elevation #DEM #wind #weather #climate #SSRS #updraft #USWTDB #USGS #NREL #terrain #altitude #slope #aspect

figure - maps and charts - Overview of the proposed agent-based movement model based on the Overview, Design, Details (ODD) framework by Grimm et al. (2020).

figure - maps and charts - (a) Location of the 50-km by 50-km study area within Wyoming and its terrain elevation above mean sea level, (b) Wind rose for wind conditions (averaged over the study area) observed during the daytime at 80-m altitude using mesoscale atmospheric data for 2017 and 2018.

figure - map and chart - (a) Telemetry data for years 2019 and 2020 where the altitude AGL ranges between 50 m --> 500 m and the time between subsequent GPS entries 10 seconds, (b) Percentage of telemetry data for different regimes of altitude AGL across the four seasons.

photo - eagle soaring near wind turbine pylon

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Repository: https://github.com/cyevgeniy/lmst