Lmst

#hydrospatial

Surveying Lake Titicaca [2024]
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https://www.hydro-international.com/content/article/surveying-lake-titicaca <-- shared technical article
--
[A very comprehensive hydrographic and shallow geophysical study and mapping effort of Lake Titicaca…]
“In October 2024, officers from the Category “A” Specialization Programme in Hydrography for Naval Officers of the Peruvian Navy conducted their complex multidisciplinary field project at Lake Titicaca at Puno in Peru, which is the highest navigable lake in the world (3,800 metres above sea level). The purpose of this survey was to address issues in the lacustrine environment due to hydrological processes that have occurred in recent years in this water body.…”
#GIS #spatial #mapping #hydrospatial #hydrology #hydrography #LakeTiticaca #Bolvia #Puno #Peru #PeruvianNavy #lake #remotesensing #survey #lacustrine #vertical #multibeam #echsounder #sonar #geomatics #cartography #QGIS

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

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.

The Great Dismal Swamp Has Released Millions Of Tons Of Carbon Since The Colonial Era, Research Finds
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https://www.whro.org/environment/2024-11-08/the-great-dismal-swamp-has-released-millions-of-tons-of-carbon-since-the-colonial-era-research-finds <-- shared article
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https://doi.org/10.1029/2024JG008137 <-- shared paper
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#GIS #spatial #mapping #climatechange #GreatDismalSwamp #carbon #NorthCarolina #Virginia #USA #engineering #water #hydrology #swamp #habitat #biodiversity #humanimpacts #carbondioxide #landuse #change #wetlands #peatlands #carbonsink #methane #model #spatialanalysis #spatiotemporal #research #peat #peatswamp #drainage #ditches #engineering #reclamation #peatfire #mitigation #ecosystem #carbonloss #hydrospatial

photo - A researcher moves through the Great Dismal Swamp in Virginia.

Schematic - ash mass concept. For a column of peat exposed to drainage, the surface peat is exposed to more oxidation and therefore carbon is lost but the ash content is conserved. This demonstrates how carbon loss can be calculated using the remaining ash in the peat column. The terms correspond to the terms in Equations 1-5, with r = reference layer and i = impacted layer. The dashed line in the second column indicates the loss. The loss in thickness due to shallow subsidence results from the difference in the bulk densities, whereas the secondary subsidence results from the loss in elevation due to oxidation, driven by the differences in ash mass.

Maps - coring locations, ditches by age, dominant vegetation communities. Contours correspond to estimated peat depths based on Oaks and Whitehead (1979). Coring locations are indicated by the following numbers: 1. GDS519, 2. GDS520, 3. GDSW1, 4. GDS77, 5. GDS83, 6. GDS528, 7. Interior-South, 8. Interior-North, 9. GDS96, 10. GDS-P + H, 11. GDS542, 12. GDS-04-14-2022-1A, 13. GDS-04-14-2022-1B. (a) Map of Great Dismal Swamp National Wildlife Refuge (GDS NWR) showing coring locations and binned ages of ditch, canal, and railroad installation, (b) Map of GDS NWR showing dominant vegetation communities within GDS NWR. The “early successional” (marsh) area to the southeast of Lake Drummond corresponds to the area burned in both 2008 and 2011. The area bounded by shading represents the Great Dismal Swamp NWR boundary.

charts - Carbon stocks and accumulation at GDS sites. (a) Carbon stocks for all sites, including two calculations for heavily impacted sites (GDS-W1, GDS-77, and GDS-P&H). Stars indicate calculations from ash mass from the lower depths of each of those cores, while the other (b) calculation for these sites indicates the lower ash mass calculation using the average of other less disturbed sites. Burn scar cores calculations are down to the first charcoal peak (a) and down to the second peak (b) for GDS-Interior-North and South. (b) Carbon accumulation and loss rates for cores with vegetation reconstructions. Negative values indicate carbon loss values.

Will We Be Able To Continue Living By The Sea? Ocean Experts Explore Considerations For Governments
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https://phys.org/news/2024-11-sea-ocean-experts-explore-considerations.html <-- shared technical article
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https://www.marineboard.eu/navigating-future-vi <-- shared Navigating the Future VI – The Role Of The Ocean
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#GIS #spatial #mapping #climate #climatechange #coast #coastal #model #modeling #sea #risk #hazard #ocean #sealevel #sealevelrise #planning #management #mitigation #COP29 #NFVI #watersecurity #foodsecurity #publichealth #publicsafety #weather #extremeweather #subsidence #stormsurge #hydrospatial #coastalcommunities

cover - report - Navigating The Future VI - Placing The Ocean Within The Wider Earth System

graphic - Ocean & People - working together to manage our ocean interactions

graphic - summary

graphic - Ocean & Climate - an ocean that is no longer impacted by climate change

New [2018] 30 Metre Resolution Global Shoreline Vector And Associated Global Islands Database For The Development Of Standardized Ecological Coastal Units
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https://doi.org/10.1080/1755876X.2018.1529714 <-- shared 2018 paper
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#GIS #spatial #mapping #coast #coastline #global #shoreline #landsat #remotesensing #spatialanalysis #extraction #AI #machinelearning #GSV #GSHSS #ecology #terrestrial #marine #ECU #waters #GEO #GoogleEarthEngine #MBON #BluePlanet #water #hydrography #hydrospatial #GroupOnEarthObservations
@GroupOnEarthObservations #islands @GEOSEC2025

maps - Top – The GSV along the Florida keys in the United States. The continental mainland of North America is shown in tan, islands > 1 km2 in area are shown in green, and islands < 1 km2 are shown in red. These landmasses are depicted at a 1:1,000,000 scale. Bottom – For cartographic reference, the same area of the Florida Keys

maps/landsat image - A visual comparison of the GSV and the GSHHS (Wessel and Smith Citation1996) for an archipelago at the westernmost end of the Florida Keys, United States. The underlying image is from a 1:65,000 level zoom of Esri's World Image Basemap. The yellow lines represent shorelines from the GSHHS, and the red lines depict GSV shorelines. Only the largest polygon shown is > 1 km2. The GSV shows improvement in the visual fit of the coastline vectors to the shore.

photo - shoreline, Florida Keys, USA

annonated map - Illustrative example of the ecological coastal units (ECUs) spatial analytical framework showing the new Global Shoreline Vector (GSV) along a stretch of coast in northeastern Puerto Rico. The GSV is shown with regularly spaced segments attributed and symbolised, in this case, by sinuosity. Perpendicular transects placed at segment intervals are also shown. The segments and transects represent potential spatial objects which could be attributed with data and used to delineate ECUs. The proposed ecological zonation is also shown, including offshore (a) and nearshore (b) coastal waters separated by the 30 m depth contour, and coastal land areas (c) between the GSV and the inland limit of the coastal plain.

Daniel Coe’s Astonishing River Cartography
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https://orionmagazine.org/article/daniel-coe-river-cartography/ <-- shared media article
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https://dancoecarto.com/work <-- his website
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[those in the spatial hydrology ‘world’ have long been incredibly impressed by Dan Coe’s imagery and cartography, here is a wonderful article on cartography & science with his visual arts quality]
“Cartographer Daniel Coe uses relative elevation data, primarily from plane-mounted lasers called lidar, to visualize Earth’s natural features, like rivers and floodplains. His stunning river maps reveal stories hidden in historical sediment and past channels carved by the water, as it twists and turns through both landscape and time…”
#GIS #spatial #mapping #DanielCoe #cartography #hydrospatial #river #riverine #imagery #representation #map #representation #science #remotesensing #LiDAR #sedimentation #flooding #riverchannel #change #spatiotemporal #gischat
#DanielCoe #fluvial #geomorphology

LiDAR-derived river cartography - Mississippi Delta, USA

LiDAR-derived river cartography - Murray River, Australia

LiDAR-derived river cartography - bends in the North Fork Shenandoah River, Virginia, USA

LiDAR-derived river cartography - Tulsequah River, British Columbia, Canada

Landsat Plumbs The (Shallow) Depths [Near Shore TopoBathy]
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https://earthobservatory.nasa.gov/images/153529/landsat-plumbs-the-shallow-depths <-- shared NASA images
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https://doi.org/10.3390/rs16050843 <-- shared paper
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#GIS #spatial #mapping #landsat #coast #coastal #topobathy #remotesensing #bathymetry #depth #shallowwater #hydrography #hydrospatial #modeling #OLI #OperationalLandImager #landsat8 #landsat9 #algorithm #spatialanalysis #physics
@USGS

NOAA 'traditional' bathymetric map portion, Marquesas Keys, FL

graphical abstract - paper: Physics-Based Satellite-Derived Bathymetry (SDB) Using Landsat OLI Images https://doi.org/10.3390/rs16050843

landsat image - bathymetric from OLI, Florida Keys

landsat image - natural colour from OLI, Florida Keys

Rules Of River Avulsion Change Downstream
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https://doi.org/10.1038/s41586-024-07964-2 <-- shared paper
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#GIS #spatial #mapping #river #water #hydrology #avulsion #geomorphology #geomorphometry #floodplain #flood #flooding #course #risk #hazard #elevation #topography #hydromorphic #hydrospatial #model #modeling #factors #coast #coastal #mountain #fan #riskassessment #global #spatialanalysis #management #mitigation #prediction #remotesensing #ICESat2 #FABDEM #Copernicus #algorithm #fluvial #alluvial #sediment #alluvium #sediment #machinelearning #graphdata #geostatistics #spatiotemporal

maps and schematic - Global distribution of river avulsions investigated

graphic & charts - Topography of recently avulsed rivers changes from source to sink

annotated maps - Avulsion pathfinding experiments

aerial photo - showing river avulsions

Eyes on Earth Episode 120 – Mapping the California Coastline [podcast]
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https://www.usgs.gov/centers/eros/science/eyes-earth-episode-120-mapping-california-coastline <-- shared link to podcast
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https://doi.org/10.1017/cft.2022.4 <-- shared paper
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#GIS #spatial #mapping #research #remotesensing #earthobservation #water #hydrology #marine #hydrospatial #bathymetry #topobathy #elevation #seafloor #landsat #Landsat9 #LandsatNext #resolution #coast #coastline #podcast #interview #California #USA #model #modeling #spatialanalysis #sealevelrise #SLR #sealevel #erosion #climatechange #risk #hazard #opendata #machinelearning #AI #oceangraphy
@USGS | @USGS_EROS

oblique aerial image - coastal marina, Oceanside, California, northern San Diego County, California

Thumbnail image for Eyes on Earth Episode 120 – Mapping the California Coastline, showing photo of guest Sean Vitousek, USGS Research Oceanographer, on a personal watercraft.

Bathymetric map of offshore northern California reveals seafloor features and submarine canyons. (2020)

A multibeam bathymetric survey that produced unprecedented high resolution images of the mouth of San Francisco Bay was conducted in 2004 and 2005. The survey, performed over forty-four days by the Seafloor Mapping Lab at California State University, Monterey Bay, consisted of 1,138 track lines, 1.1 billion soundings, and covered an area of 154 km2 (60 mi2). The goals of this survey were to analyze sediment transport pathways at the mouth of San Francisco Bay and to calculate bathymetric change since the last survey was completed in 1956. The survey showed that significant bathymetric changes have occurred over the past 50 years. (~2006)

Mapping Confirms Waves On Saturn’s Moon [Titan] [geomorphometry / spatial analysis]
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https://www.australiangeographic.com.au/topics/science-environment/2024/09/mapping-confirms-waves-on-saturns-moon/ <-- shared technical article
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https://eos.org/articles/waves-may-be-crashing-on-titans-shores <-- shared technical article
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https://doi.org/10.1126/sciadv.adn4192 <-- shared paper
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#GIS #spatial #mapping #astrogeology #saturn #moon #titan #remotesensing #radar #methane #ethane #NASA #cassini #lake #river #estuary #astrohydrology #model #modeling #hydrospatial #tidal #erosion #geology #geomorphology #geomorphometry #spatialanalysis #waves #surge #coastal #coastal #landforms #coastline #patterns

graphic - Waves ripple across the surface of Kraken Mare in this artist’s depiction of Titan’s largest body of water. Research suggests the waves could be eroding the coastlines of Kraken Mare and other bodies of liquid hydrocarbons on Titan.

maps - Distinct signatures of fluvial incision, wave erosion, and uniform erosion in numerical simulations of coastal erosion.

charts and images/maps - Ternary classification diagram of dominant coastal erosion mechanism

maps - Lakes on Titan and Earth with coastlines shaped by a variety of erosional mechanisms

U.S. Sea Level Change - Rising Seas, Changing Coasts [web resources/ Federal website]
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https://sealevel.globalchange.gov/ <-- shared web resource
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https://www.nasa.gov/earth/climate-change/nasa-helps-build-new-federal-sea-level-rise-website/ <-- NASA press release
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#GIS #spatial #mapping #spatialanalysis #spatiotemporal #risk #hazard #infrastructure #habitats #ecosystems #sealevel #sealevelrise #SLR #climatechange #webresources #spatialdata #opendata #coast #coastal #communities #USGCRP #US #USA #model #modeling #projections #flooding #innundation #water #hydrology #hydrospatial #interactive #multimedia #educational #management #planning #impacts #humanimpacts #coastalengineering #geomorphometry
@USEPA @fema @nasa @NOAA @USACEHQ @DeptofDefense @USGS @DHSgov

charts and text related to sea level rise, Puerto Rico

chart and text - satellite altimetry and tidal gauge measurements over time, Puerto Rico

screen shot - https://sealevel.globalchange.gov/ web page

aerial image - house at risk of the ocean, East Coast USA

Saturn's Moon Titan Has An Equivalent Of Freshwater Rivers And Salty Oceans
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https://www.newscientist.com/article/2439695-moon-of-saturn-has-an-equivalent-of-freshwater-rivers-and-salty-oceans/ <-- shared technical article
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https://doi.org/10.1038/s41467-024-49837-2 <-- shared paper
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#GIS #spatial #mapping #astrogeology #saturn #moon #titan #moon #remotesensing #radar #methane #ethane #NASA #cassini #lake #river #estuary #astrohydrology #DeepSpaceNetwork #model #modeling #hydrospatial #tidal

schematic - Observing geometry and signal path for Cassini bistatic radar downlink experiments

charts and maps - Four calibrated spectra from the three seas of Titan acquired during T101, T106, and T124 observations

annotated maps - Specular point tracks of the bistatic observations during experiments T101, T102, T106, T124

compiled images - False-color, medium-resolution Cassini synthetic aperture radar mosaic of Titan's north polar region, showing hydrocarbon seas, lakes and tributary networks. Blue coloring indicates low radar reflectivity areas, caused by bodies of liquid ethane, methane and dissolved nitrogen.[1] Kraken Mare, the largest sea on Titan, is at lower left. Ligeia Mare is the large body below the pole, and Punga Mare at half its size is just left of the pole. White areas have not been imaged.

Eyes on Earth Episode 123 – Bathymetry Mapping
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https://www.usgs.gov/centers/eros/science/eyes-earth-episode-123-bathymetry-mapping <-- shared link to podcast
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https://www.linkedin.com/posts/gregcocks_gis-spatial-mapping-activity-7214045947876581377-4zcm <-- my earlier overview post
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#GIS #spatial #mapping #research #remotesensing #earthobservation #landsat #satellite #water #hydrology #marine #hydrospatial #bathymetry #topobathy #elevation #seafloor #Landsat9 #LandsatNext #resolution #PuertoRico #Guam #oceanoptics #atmosphere #coast #coastline #podcast #interview
@USGS @EROS

graphical abstract

photo - part of the coastline, Cabo Rojo, Puerto Rico

photo - US Navy submarine tender enters Apra Harbor, Guam

graphic - Eyes on Earth Episode 123 – Bathymetry Mapping

Historic Channel Dynamics Of A Highly Developed Dryland River [spatiotemporal / hydrospatial analysis]
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https://doi.org/10.1002/esp.5939 <-- shared paper
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#GIS #spatial #mapping #hydrospatial #Colorado #USA #SouthPlatte #sustainable #sustainability #water #surfacewater #river #waterresources #hydrology #remotesensing #riverchannel #channel #spatialanalysis #spatiotemporal #change #history #historic #development #engineering #climatechange #discharge #watersecurity #wateruse #waterrights #farming #agriculture #economy #economiccost #dynamic #municipal #industrial #dryland

drone photo - oblique - South Platte River channel, NE Colorado near the Nebraska border

chart - Flow duration curves for the South Platte River at Julesburg, Colorado (U.S. Geological Survey Station 06764000), for the eight aerial photograph analysis intervals (1941 through 2015), and the three earlier decades in the period of record (1902–1911, 1912–1921, 1922–1931).

annotated maps - Observed spatial patterns of channel persistence, based on GIS analysis of number of photo years occupied by the active channel out of eight historic aerial photo years (1941–2015). Yellow indicates transient channel, occupied in one or two photo years; green indicates intermediate channel, occupied in three to six photo years; blue indicates persistent channel, occupied in seven or eight photo years. (a) Single channel reach with persistent thread, example from Section One. (b) Persistent multi-thread reach, example from Section Three. (c) Multi-channel reach with persistent primary thread and intermediate secondary channel, example from Section One. (d) Non-persistent, single channel reach, example from Section Two. (e) Non-persistent, multi-channel reach, example from Section Three.

annotated maps - Illustration of channel changes in a predominantly multi-thread reach, example from section three. Flow direction is to the right. Upper panels depict channel locations and types of changes observed in 2006, 1989 and 1941. Lower panel shows categories of channel persistence

The Detection Of A Massive Harmful Algal Bloom In The Arctic Prompts Real-Time Advisories To Western Alaskan Communities
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https://phys.org/news/2024-07-massive-algal-bloom-arctic-prompts.html <-- shared technical article
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https://doi.org/10.1002/lol2.10421 <-- shared paper
--
#GIS #spatial #mapping #sampling #publichealth #ecosystem #habitat #climatechange #harmful #agalbloom #HAB #polar #marine #healthimpacts #toxins #Arctic #water #hydrospatial #sampling #model #modeling #BeringStrait #magnitude #scale #density #toxicity #coast #coastal #remote #communities #FirstNation #risk #hazard #response #monitoring #hazardassessment #communication #realtime #advisories #Alaska #WesternAlaska #maritime #subsistence #harvest #fisheries #tracking #spatiotemporal #spatialanalysis #WHOI #PST #algae #foodchain #foodweb #mortality #impacts #subsidence #eventresponse #waterquality

model / map - the HAB (harmful algal bloom), Bering Strait, off Alaska coast

photo - A dashboard image from the IFCB shows high concentrations of the Alexandrium (dark round cells) found in a Bering Strait water sample.

maps - Regional map and progression of the 2022 Alexandrium catenella bloom based on near-surface cell densities. (A) Map of the region depicting major water bodies, land masses, and the maritime boundary with Russia. Alaskan communities within designated regional boroughs are indicated by colored points; regional hub communities are labeled in bold. Bloom observations are grouped by the outbound and return transit of each survey, where the gray dots are the shipboard data points; (B) 22 July–08 August, (C) 08–14 August, (D) 17–31 August, (E) 31 August–06 September. Graduated color scale indicates A. catenella cell density calculated from annotated IFCB imagery; observations are interpolated using a gridding routine that puts more weight along the isobaths (Davis 1998), since the flow on the Chukchi shelf is largely guided by the bathymetry. Locations of the regional hub communities are labeled, and an asterisk is used in (D) to indicate location of highest cell density measured in the bloom (174,000 cells L−1).

schematic - Timeline and structure of information flow from the shipboard IFCB to the regional coastal response. Steps in this process included: Data Collection (seconds to minutes), HAB Assessment (minutes to hours), Stakeholder Coordination and Advisory Development (24–48 h, see Supplementary Materials for advisory text), and Community Mobilization (days, weeks, continuing).

The Vanishing Islands That Failed to Vanish [Maldives]
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https://www.nytimes.com/interactive/2024/06/26/climate/maldives-islands-climate-change.html <-- shared media article
--
[be sure that many tropical islands ARE vanishing, like Tuvalu, and indeed many in the Maldives; this study is working to see why some are not or are not as fast as modeled (the extensive coastal engineering around the capital Male notwithstanding)]
#GIS #spatial #mapping #Maldives #climatechange #IndianOcean #model #modeling #coast #coastal #coastalengineering #SLR #sealevel #sealevelrise #tropicalisland #risk #hazard #mitigation #marine #ocean #hydrospatial #remotesensing #elevation #research #ontheground #spatialanalysis #spatiotemporal

photo - Curt Storlazzi installed a device to measure currents at a depth of 65 feet.

photo - The Maldives government have adapted infrastructure in capital city Malé to the threats of climate change, including beginning to build a wall around the city.

Ocean Networks Canada (ONC) Data Portal
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https://data.oceannetworks.ca/home <-- Ocean v3.0 Data Portal
--
#GIS #spatial #mapping #Canada #hydrospatial #data #dataportal #OceanNetworksCanada #ONC #marine #ocean #research #fisheries #economics #climatechange #oceanobservation #coast #coastal #boology #chemistry #geology #weather #metrology #usecase #appliedscience #infrastructure #sensors #FirstNation #indigenous #monitoring #training #education #canadaday
@Ocean_Networks

photo - humpback whale feeding off Vancouver Island, Canada

screen shot - map - OCN's data portal GUI

photo - underwater sensor

graphic / maps - OCN data sources across Canada's marine environment

USGS Finds New Way To Measure Ocean Depth With Landsat
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https://www.usgs.gov/centers/eros/news/usgs-finds-new-way-measure-ocean-depth-landsat <-- shared technical article
--
https://doi.org/10.3390/rs16050843 <-- shared paper
--
#GIS #spatial #mapping #research #remotesensing #earthobservation #landsat #satellite #water #hydrology #marine #hydrospatial #bathymetry #topobathy #elevation #seafloor #Landsat9 #LandsatNext #resolution #PuertoRico #Guam #oceanoptics #atmosphere #coast #coastline
@USGS @landsat @EROS @landsat9

images, etc - paper's graphical abstract - satellite-derived bathymetry; atmospheric correction; ocean optics

maps / satellite images - Scene-derived bottom reflectance for Puerto Rico. (a) SDB scene. (b) Shallow water sampling area for scene-derived bottom reflectance. The sampling depth ranges are displayed in white pixels (0–0.5 m), green pixels (0.5–1.0 m), red pixels (1.0–1.5 m), and yellow pixels (1.5–2.0 m).

maps/images and chart - Estimation of DEM offset to convert to lidar DEM water depth. (a) Lidar DEM overlaid to satellite image in Key West. (b) Estimated water surface level in red line using land–water interface derived from satellite image, where green diamonds have spectral properties of water.

photo - Cabo Rojo, Puerto Rico
This is a view of part of the coastline of Cabo Rojo, which was a satellite-derived bathymetry study area in the southwest corner of Puerto Rico.

Lake Wānaka Mapped In Exquisite Detail [topobathy, New Zealand]
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https://niwa.co.nz/news/lake-wanaka-mapped-exquisite-detail <-- shared technical article
--
#GIS #spatial #mapping #hydrospatial #bathymetry #remotesensing #LakeWanaka #Wanaka #NewZealand #topobathy #lake #floor #water #hydrology #survey #underwater #geology #geomorphometry #earthquake #fault #faulting #NIWA #lakebed #glacial #glacier #multibeam #echosounder #3dmodel #waterquality #landuse #freshwater #nutrients #sediment #sedimentation #climatechange #model #modeling #catchments #hydrodynamics
@niwa_nz

3D graphic of high-resolution bathymetry data retrieved from Wānaka lakebed mapping project.

photo - Lake Wanaka, New Zealand

Close-up image of bathymetry data for the southern part of Lake Wānaka.

photo - Lake Wānaka mapping project team onboard RV Rukuwai II with multibeam echosounder attached to the bow of the research vessel.

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