#SurfaceWater

💧🌏 Greg CocksGregCocks@techhub.social
2025-06-10

Bidirectional Translations Between Observational And Topography-Based Hydrographic Data Sets - MERIT-Basins And The SWOT River Database (SWORD)
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doi.org/10.1029/2024WR038633 <-- shared paper
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#GIS #spatial #mapping #water #hydrology #model #modeling #SurfaceWater #Ocean #Topography #SWOT #SWORD #hydrography #stream #river #datasets #MERIT #basin #watershed #inventory #routing #network #discharge #flow #peakflow #remotesensing #satellite #earthobservation

💧🌏 Greg CocksGregCocks@techhub.social
2025-05-29

Small Waterbodies Of Large Conservation Concern - Towards An Integrated Approach To More Accurately Measuring Surface Water Dynamics
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doi.org/10.1016/j.ecolind.2025 <-- shared paper
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“HIGHLIGHTS
• Hydrologic models were used to assess remotely sensed surface water estimates.
• The accuracy of satellite surface water estimates diminished for waterbodies < 2 ha.
• Vegetation reduces accuracy of surface water detection, especially during wet years..."
#GIS #spatial #mapping #waterbodies #Conservation #planning #surfacewater #Hydrologicmodeling #remotesensing #earthobservation #water #hydrology #hydrographic #model #modeling #spatialanalysis #spatiotemporal #waterbody #small #conservation #inventory #monitoring #accuracy #aquatic #vegetation #climate #NorthAmerica #kettle #landforms #landcover #glaciation #prairie #pothole

2025-05-19

Came across some very nice SuDS the other day in the recently redesigned Finsbury Circus Gardens. #SuDS #surfacewater #London #FinsburyCircusGardens #greeninfrastructure

💧🌏 Greg CocksGregCocks@techhub.social
2025-05-01
2025-04-13

Long-term and seasonal salinity patterns are analyzed across China's river basins: Salinity levels, trends and drivers of surface water salinization across China's river basins. #salinity #water #surfacewater #China sciencedirect.com/science/arti

2025-04-13

Long-term and seasonal salinity patterns are analyzed across China's river basins: Salinity levels, trends and drivers of surface water salinization across China's river basins. #salinity #water #surfacewater #China sciencedirect.com/science/arti

2025-01-29

‘Serious cause for concern’: Water experts react to lack of mandatory SuDS regulation adoption bit.ly/4aA2DRU #SuDS #schedule3 #stormwater #surfacewater #greeninfrastructure

Dr. Eric J. Fielding, PhDEricFielding
2024-10-30

New NASA OPERA project product provides detailed maps of water in and around landmasses, based on analysis of Copernicus Sentinel-1 radar images. Future version will use NASA-ISRO SAR (NISAR) radar images.
earthdata.nasa.gov/news/new-pr
#radar

💧🌏 Greg CocksGregCocks@techhub.social
2024-09-25

USGS Releases ‘The 3D National Topography Model [3DTNM] Call For Action - Part 1: The 3D Hydrography Program [3DHP]’
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usgs.gov/news/technical-announ <-- technical announcement
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pubs.usgs.gov/publication/cir1 <-- USGS Circular 1519 publication link
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usgs.gov/3DHP <-- shared USGS 3DHP home page
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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.

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