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#remotesensing

8 posts8 participants1 post today
Public
Adam Steer

Realised this morning that a recent @spatialised cleanup left a lot of stories with missing images!

This is a disaster for a very visual medium (maps, geospatial things, myself) and marketing 😬

So today's job is repair...

Starting with this one, a quick capability tour using a small backpackable drone for understanding about growing things (plants / trees). There's more than ice and snow in my toolkit ;).

#drones #remotesensing #landscapeAnalysis #hireme

spatialised.net/mapping-a-smal

Public
josep vives

El poder i detall de les tècniques de teleobservació de la terra em flipa molt.

framapiaf.org/@tyldurd/1143596
Here's a polarimetric color composite of a Sentinel-1C image processed with EO-Tools — shown both without and with terrain flattening. It's fascinating how much information is hidden by topography.

I'm thinking of adding compositing functions directly into the software. What do you think — would that be useful?

FramapiafOlivier D'Hondt 🛰️🌍🌱 (@tyldurd@framapiaf.org)Attaché : 2 images Here's a polarimetric color composite of a Sentinel-1C image processed with EO-Tools — shown both without and with terrain flattening. It's fascinating how much information is hidden by topography. I'm thinking of adding compositing functions directly into the software. What do you think — would that be useful? #eo_tools #Python #EarthObservation #RemoteSensing #OpenSource #Sentinel1C
#eo_tools#Python#EarthObservation
Public
Olivier D'Hondt 🛰️🌍🌱

Here's a polarimetric color composite of a Sentinel-1C image processed with EO-Tools — shown both without and with terrain flattening. It's fascinating how much information is hidden by topography.

I'm thinking of adding compositing functions directly into the software. What do you think — would that be useful?

Color SAR image without terrain flattening where the backscattering of mountains dominates.
Color SAR image without terrain flattening where the we can see more polarimetric information because the influence of terrain has been removed.
#eo_tools#Python#EarthObservation
Public
💧🌏 Greg Cocks

RiverREM - Generating River Relative Elevation Model (REM) Visualisations
--
github.com/OpenTopography/Rive <-- shared GitHub repository
--
opentopography.github.io/River <-- shared documentation
--
opentopography.org/blog/new-pa <-- shared Open Topography blog post about RiverREM
--
H/T Heidi Luchsinger / Open Topography
[this post should not be considered as an endorsement of this product aka caveat emptor]
#GIS #spatial #mapping #remotesensing #earthobservation #Python #LiDAR #RiverREM #visualisation #hydrology #water #river #rivervalley #floodplain #terraces #GitHub #opensource #opendata #DEM #REM #model #modeling #RiverRelativeModel #documentation #tutorial #learning #tool #elevation #raster #sinuosity #drainage

Public *
💧🌏 Greg Cocks

Identifying Environmental Risk Factors and Mapping the Distribution of West Nile Virus in an Endemic Region of North America
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doi.org/10.1029/2018GH000161 <-- shared paper
--
[an older paper (2018) but a good one, including showing the versatility & usefulness of #FedScience spatial datasets]
#GIS #spatial #mapping #USA #WestNile #WestNileVirus #fedscience #NationalLandCoverDatabase #NLCD #virus #publichealth #arboviruses #environment #data #spatialanalysis #spatiotemporal #fedscience #geocoding #environmental #landcover #physiography #climate #weather #transmission #model #regressiontree #risk #hazard #riskmaps #elevation #humidity #rainfall #precipitation #disease #soil #integrated #opendata #mosquito #satellite #SouthDakota #pasturelands #crossdiscipline #virology #remotesensing #earthobservation #Pathobiology #Epidemiology
@USGS @USGS_EROS

Public
💧🌏 Greg Cocks

Interpretable Physics-Informed Graph Neural Networks For Flood Forecasting
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doi.org/10.1111/mice.13484 <-- shared paper
--
github.com/MehdiTaghizadehUVa/ <-- shared GitHub repository
--
#GIS #spatial #mapping #FloodForecasting #GraphNeuralNetworks #PhysicsInformedAI #Hydrology #ClimateResilience #ScientificMachineLearning #CivilEngineering #HydroGraphNet #PhyiscsNeMo #hydrology #water #flood #flooding #spatialanalysis #spatiotemporal #climatechange #model #modeling #machinelearning #AI #extremeweather #prediction #forecasting #planning #humanimpacts #loss #lossoflife #publicsafety #cost #economics #infrastructure #risk #hazard #disaster #mitigation #preparedness #naturaldisaster #HydroGraphNet #floodforecasting #dynamics #remotesensing #earthobservation

Public
Christopher Kyba 🇨🇦🇪🇺

This is an interesting new #OpenAccess paper looking at the intersection of energy, development, neighborhood race and class in #SouthAfrica.

They find that #Solar panel installation is by far more common in wealthy and especially white neighborhoods, and that the drop in #NighttimeLight radiance observed from #VIIRS_DNB is lowest in these neighborhoods.

They suggest that solar adoption may reduce the impact of #LoadShedding (i.e. #RollingBlackouts).

I see a few issues with their methodology, but it's nevertheless so interesting to see all these aspects combined with day and nighttime #RemoteSensing.

dx.doi.org/10.1088/2753-3751/a

A figure from the paper showing the area of solar panels per household on a logarithmic scale, for different income levels and racial makeups. Homes in high income areas have an average of 2.2 square meters of solar panels, while poor and low income homes rarely have solar panels. Similarly, homes in white neighborhoods have an average of 3.5 square meters of solar panels, while homes in Indian neighborhoods have 0.14, Coloured neighborhoods 0.01, and African neighborhoods effectively none. The authors note in the paper that these references to race are a historic legacy of Apartheid, and are used because while Apartheid has ended, it nonetheless established historical patterns of settlement that are only changing slowly.
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