#RemoteSensing

MUDASSAR SALEEMlearningbreezeofficial
2025-12-14

Modern science is no longer limited to textbooks and theory. From femtosecond spectroscopy and advanced microscopy to GIS-powered Earth analysis, today’s tools are reshaping how we understand the invisible and the complex. Explore this week’s deep-dive articles on Learning Breeze and stay ahead in science-driven learning.
linkedin.com/pulse/science-tec

2025-12-13

Yesterday I read an announcement about a dataset of all buildings on Earth derived from remote sensing.

Of course I looked.

Definitely do *not* do your metrics based on it.

And I *beg* of you, remote sensing people, please stop doing this!

Every. single. time it is the same. At least this one said on the tin "things might be wrong".

...still, these datasets go straight into models used by people who don't check.

#remoteSensing #decisionMaking

Paul HouleUP8
2025-12-13

🚧 Towards Modeling Road Access Deprivation in Sub-Saharan Africa Based on a New Accessibility Metric and Road Quality

arxiv.org/abs/2512.02190

Nexus Research GroupNexusLMU
2025-12-11

New publication in ! Benedikt Hartweg & his colleagues simulated tropical forests in under disturbance scenarios and fitted allometries at different spatial scales. Super helpful insights for the new mission by @esa

🔗 Learn more on our blog: geo.lmu.de/geographie/en/lates

Graphic announcing a new scientific paper. The background shows a blurred aerial view of a dense green forest. Overlaid text reads: “NEW PAPER – Benedikt Hartweg et al. (2025) in ECOLOGICAL MODELLING.” Below, a subtitle says: “Are locally trained allometric functions of forest aboveground biomass universal across spatial scales and forest disturbance scenarios?”
💧🌏 Greg CocksGregCocks@techhub.social
2025-12-11
Geospatial Technologiesgeotech_msc
2025-12-10

🧰 Practical GeoAI Tools

Have you tried TorchGeo? 🌍✨

It’s a PyTorch library built for remote sensing and geospatial data, basically torchvision for Earth observation. 🚀

With ready-to-use datasets, spatial transforms, and pre-trained models, TorchGeo makes it easy to train deep learning models on satellite imagery and geospatial layers.

🔗 Explore TorchGeo: github.com/torchgeo/torchgeo

💧🌏 Greg CocksGregCocks@techhub.social
2025-12-10

S2Coast-2023 - The First Global 10-Meter Resolution #Coastline Dataset Derived From Enhanced #Sentinel2 Composite #Imagery Using #GoogleEarthEngine
--
doi.org/10.1016/j.rse.2025.115 <-- shared paper
--
zenodo.org/records/17092775 <-- shared data
--
“HIGHLIGHTS:
• Developed a GEE-based global coastline detection framework (S2Coast).
• HWLSentinel-2 serves as a unified and stable indicator for global coastline detection.
• The S2Coast-2023 coastline dataset is generated from annual Sentinel-2 imagery.
• Pixel-level accuracy compared with VHR-based OpenStreetMap coastlines..."
#GIS #spatial #mapping #RemoteSensing #CoastalResearch #ClimateChange #EarthObservation #Globalcoastlinemapping #Senitinel #googleearthengine #GEE #Compositing #coast #globe #global #model #modeling #detection #marine #terrestrial #ecosystems #knowledgebased #framework #spatialanalysis #spatiotemporal #QAQC

Christopher Kyba 🇨🇦🇪🇺skyglowberlin@fediscience.org
2025-12-09

Nighttime lights from #Sentinel2

#RemoteSensing #ESA

Text and image from Simon Proud (ESA) on LinkedIn. He says that you can see lights from Cairo in the image. The image is mostly dark, but you can see some points where there are presumably particularly bright lights.
2025-12-09

Call for papers: Coding Earth — Open Source Solutions in Physical Geography for Progress in Physical Geography ⚡

Show how open-source tools, coding workflows, and open science are reshaping physical geography.

journals.sagepub.com/pb-assets

Deadline: 1 March 2026.

#PhysicalGeography #OpenSource #GISchat #RemoteSensing

2025-12-05

Today is #WorldSoilDay so I thought I'd share an animation of Winter Hill in the West Pennine Moors. This illustrates how #Sentinel1 #SAR satellite data can be used to delineate #peatland condition.
Turquoise denotes wetter peatland, drier areas are in brown.
Our research found frozen conditions to better differentiate peatland from other land cover & highlight relative condition. Check it out here
mdpi.com/2072-4292/17/16/2752
All with the power of #qgis #remotesensing #earthobservation #mapping

💧🌏 Greg CocksGregCocks@techhub.social
2025-12-05

Project Sunroof [solar panel appraisal tool]
--
sunroof.withgoogle.com/ <-- shared (Google) project page
--
insights.sustainability.google/ <-- shared (Google) Environmental Insights Explorer (EIE) homepage
--
[this should NOT be considered an endorsement of a specific product or company, rather a post about a specific spatial/remote sensing use case]
“Your own personalized solar savings estimator, powered by Google Earth imagery…”
"Should I get solar?" → Gemini [AI] powered roof analysis, payback calc…
#GIS #spatial #mapping #ProjectSunroof #solar #solarpower #alternateenergy #derived #solarenergy #solarpanels #exposure #orientation #sunlight #energy #residential #costeffective #remotesensing #earthobservation #AI #cost #economics #ReturnOnInvestment #ROI #solarsavings #estimator #spatialanalysis #spatiotemporal #USA #imagery #GoogleEarth #usecase #payback
#Google

Journal of Plant Ecologyjpecol
2025-12-04

【🎉Latest accepted article】
Overestimated Carbon Uptake Stability Due to Inadequate Vegetation Dynamics in Ecosystem Models

| | | | | |

doi.org/10.1093/jpe/rtaf193

💧🌏 Greg CocksGregCocks@techhub.social
2025-12-03
Geospatial Technologiesgeotech_msc
2025-12-03

🎓 GeoTech Cohort Sharing

More highlights from the GFP Annual Conference 2025 in Budapest! 🇭🇺🌊

Our GeoTech student Ayesha Tariq joined workshops on improving flood forecasts, risk mapping in data-scarce regions, and integrating Earth Observation with local knowledge for resilience planning.

The conference concluded with a visit to the Kvassay Dam, emphasizing the importance of connecting early warnings with community action.

Christopher Kyba 🇨🇦🇪🇺skyglowberlin@fediscience.org
2025-12-03

Sentinel 2 will be taking nighttime acquisitions TONIGHT, and the level 1B data will be available for TWO WEEKS ONLY following the acquisition: sentinels.copernicus.eu/web/se

#RemoteSensing #NighttimeLights #NightLight #LightPollution #Sentinel2

Image highlighting the specific areas of Earth that will be acquired at night tonight.

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