📢 Enhanced oceanic fog nowcasting through satellite-based recurrent neural networks by Sahel Mahdavi, Meisam Amani, Terry Bullock & Steven Beale 👉https://doi.org/10.1080/20964471.2024.2412379 💌 #Fog #deeplearning #GOES-16 #forecast #offshore #remotesensing #GIS #Earthobservation #bigdata

📢A hybrid approach for enhanced flood prediction and assessment: Leveraging physical models, deep learning and satellite remote sensing 👉https://doi.org/10.1080/20964471.2025.2530850 #flood #risk #disaster #waterresource #hydrology #climateresilience #remotesensing #earthobservation #GIS #AI #GeoAI

📢 Driver analysis of subarctic wildfire severity over a 35-year period by Daniel Martin Nelson, Yuhong He & G. W. K. Moore 👉 doi.org/10.1080/2096... 💌 #Wildfire #GoogleEarthEngine #LandTrendR #SHAP #machinelearning #forest #remotesensing #earthobservation #GIS #BigData

📢 Good news! The special issue on “Big data and artificial intelligence for natural hazards” has been published online. 👉https://tandfonline.com/toc/tbed20/9/3?nav=tocList #flood #drought #wildfire #bigdata #AI #remotesensing #disaster #hazard #earthobservation #GIS #GeoAI #SDGs

📢Assessing future risk of humanitarian crises using projections of climate-related hazards, population, conflict and other socioeconomic variables within the INFORM framework 👉https://doi.org/10.1080/20964471.2025.2535852 💌 #INFORM #climatechange #hazard #SSPs #risk #remotesensing #GIS #BigData

📢We're delighted to announce a new special issue: lnkd.in/gKesFKT9. If you are engaged in this dynamic field, we warmly invite you to contribute your valuable insights! #remotesensing #earthobservation #ArtificialIntelligence #ai #MachineLearning #Geospatial #DataScience #SustainableDevelopment

📢deeptime: an #R package that facilitates highly customizable and reproducible visualizations of data over geological time intervals by William Gearty @willgearty.bsky.social 👉https://doi.org/10.1080/20964471.2025.2537516 #Datavisualization #reproducibility #opensource #paleontology #geology

It's so great to see this package (on CRAN since 2021) finally formally described in a journal! Here's to many more years of standardized, customizable, and reproducible geology data visualization! And shout out to @richardstockey.bsky.social and @lewisajones.bsky.social for years of encouragement!

📢 [Research Article] A novel ensemble model for multi-temporal forest vegetation classification: integrating spectral-temporal features and topographic constraints 👉Article link: doi.org/10.1080/2096... 💌 #Sentinel1 #Sentinel2 #deeplearning #remotesensing #landuse #landcover #forestmapping

📢 [Review Article] Harnessing generative AI for enhanced disaster management: a systematic review 👉Article link: doi.org/10.1080/2096... #Artificialintelligence #disastermanagement #riskmanagement #largelanguagemodel #bigearthdata #digitalearth #geoscience #remotesensing #GIS #risk

📢Spatial sample weighted machine learning for multitemporal land cover change modeling with imbalanced datasets by Alysha van Duynhoven & Suzana Dragićević 👉https://doi.org/10.1080/20964471.2025.2518763 #machinelearning #landcover #AI #GeoAI #remotesensing #earthobservation #GIS

📢 deeptime: an R package that facilitates highly customizable and reproducible visualizations of data over geological time intervals 🔗 doi.org/10.1080/2096... Fully #openaccess in @bigearthdata1.bsky.social with insight about deeptime📦 development and code examples! #rstats #geology #paleontology

📢Simulation of lake underwater terrain based on the XGBoost model: a case study of typical lakes on the #TibetanPlateau 👉https://doi.org/10.1080/20964471.2025.2515713 #lake #underwater #terrain #XGBoost #topography #DEM #waterstorage #bathymetry #climatechange #hydrology #3D #remotesensing #GIS

📢DACIA5: a #Sentinel-1 and #Sentinel-2 #dataset for agricultural #crop identification applications by A. Băicoianu, I. C. Plajer, M. Debu, et al. 👉Article link: doi.org/10.1080/2096... 💌 #Artificialintelligence #agriculture #smartagriculture #remotesensing #machinelearning #datasharing #datapaper

📢[Research Article] Modeling #deforestation drivers in the Brazilian #Amazon: a comparison of quantitative approaches by Alisson Castro Barreto, Tailon Martins & Adriano Mendonça Souza 👉https://doi.org/10.1080/20964471.2025.2510770 #biome #geoscience #GIS #remotesensing #Brazil #statisticalmethod

📢GeoFactory: an #LLM performance enhancement framework for geoscience factual and inferential tasks 👉https://doi.org/10.1080/20964471.2025.2506291 💌A guidance for adapting LLMs to #geoscience applications and paves the way for future multimodal implementations. Largelanguagemodel

📢 Daily-scale dataset of highly dynamic water of Poyang Lake 👉Article link: doi.org/10.1080/2096... 💌 #Remotelysensing #PoyangLake #randomforest #hydrology #landcover #opticalimagery #SAR #WaterIndex

📢 Classification of oil palm tree conditions from #UAV imagery using the #YOLO object detector by Aakash Thapa, Teerayut Horanont et al. 👉Article link: doi.org/10.1080/2096... 💌 #Oilpalmtree #deeplearning #YOLOv8 #YOLO #objectdetection #precisionagriculture #remotesensing

📢[Research Article] Detection of #drainage ditches from #LiDAR #DTM using U-Net and transfer learning by Holger Virro, Alexander Kmoch, et al. 👉Article link: doi.org/10.1080/2096... 💌 #remotesensing #hydrology

📢A deep learning pipeline to #powerinfrastructure detection in #highresolution satellite images by Mengqi Ye et al. 👉https://doi.org/10.1080/20964471.2025.2490408 💌It highlights the potential of #deeplearning for large-scale #power grid mapping using from #Worldview-3 imagery. #remotesensing

📢 [New Article] A multi-rule index to extract brine shrimp from satellite imagery: a case study in Ebinur Lake, China 👉Article link: doi.org/10.1080/2096... Study uses #Landsat data to map #Artemia in China’s #EbinurLake, achieving 94.5% accuracy. #RemoteSensing #BrineShrimp #Conservation

📢 Enhancing geodatabases operability: advanced human-computer interaction through #RAG and Multi-Agent Systems 👉Article link: doi.org/10.1080/2096... #LargeLanguageModel #LLM #MultiAgentSystem #SQL #geospatialdatabases #GeoAI #GIS #dataquery #datamanagement #geodatabase

📢 [Review Article] Exploring the concept of digital twins of wetlands for supporting ecosystem monitoring and management by Bing Lu et al. 👉Article link: doi.org/10.1080/2096... 💌 #Wetland #remotesensing #GIS #ecosystem #digitaltwins

📢Li-GS: a fast #3D Gaussian reconstruction method assisted by LiDAR point clouds 👉Article link: doi.org/10.1080/2096... 💌Li-GS uses #LiDAR #pointclouds and dynamic voxel filtering to accelerate training while improving #geometric accuracy and reducing hardware demands. #remotesensing #digitaltwin

📢[Data Note] Restoration of missing #oceancolor data in high-latitude oceans using neural network model 👉https://doi.org/10.1080/20964471.2025.2474655 💌The NN-LAT50 #dataset for #highlatitude #oceans significantly improves retrieval accuracy and winter coverage. #polar #remotesensing #oceanography

🔥 This Wednesday, I reached a major milestone: I successfully completed my #PhD journey by defending my thesis ‘Advancing #Forest Monitoring using #Sentinel1 C-band #SAR Time Series and #MachineLearning Approaches' at the @sciencecharles.bsky.social @charlesuni.cuni.cz Details on my thesis 👇

📢Interactive Earth system data cube visualization in Jupyter notebooks by Maximilian Söchting (@soechting.bsky.social), Miguel D. Mahecha (@miguelmahecha.bsky.social) et al. 👉https://doi.org/10.1080/20964471.2025.2471646 #opensource #3D #datacube #visualization #Jupyter #geoscience #remotesensing

Excited to share the latest paper emerging from the fantastic PhD thesis of @soechting.bsky.social! Interactive Earth System Data Cube visualization in Jupyter Notebooks! www.tandfonline.com/doi/full/10....

📢Mapping #sugarcane plantations in Northeast #Thailand using multi-temporal data from multi-sensors and #machinelearning algorithms by Savittri Ratanopad Suwanlee, Jaturong Som-Ard et al. 👉https://doi.org/10.1080/20964471.2025.2463730 #remotesensing #earthobservation #agriculture #cropmapping

📢 STURM-Flood a curated #dataset for deep learning-based #flood extent #mapping leveraging #Sentinel-1 and #Sentinel-2 imagery by Nicla Notarangelo et al. 👉https://doi.org/10.1080/20964471.2025.2458714 #EarthObservation #ClimateResilience #RemoteSensing #OpenData #AI #disaster #risk