Big Earth Data

📢 An introduction to the OGC/ISO coverage and datacube standard for modeling multi-dimensional, spatio-temporal Big Data by Peter Baumann
👉https://doi.org/10.1080/20964471.2025.2585732
💌 #ISO #OGC #standard #datacube #standard #rasdaman #digitalearth #geoscience #remotesensing #BigData #INSPIRE

📢 Call for Papers: 10th Anniversary Special Issue of Big Earth Data!
❤️ vvrl.cc/wvly8a
🤩Submit your work to shape the next era of Earth data science!
#BigEarthData #EarthScience #spacescience #sustainability #digitalearth #AIforEarth #SDGs #DataInfrastructure #Earthobservation #AI #digitaltwin

Towards a Global Ground-Based Earth Observatory (GGBEO): Leveraging existing systems and networks To tackle the planetary environmental and climate crisis and meet the United Nations’ Sustainable Development Goals (SDGs), we must fully leverage the potential of Earth observations (EO). This inv...

Read the article “Towards a Global Ground-Based Earth Observatory” 📖
Y.H. de Roeck, Euro-Argo ERIC Office's DG, co-authored it, citing Euro-Argo as key to leveraging Earth observations.
👉 doi.org/10.1080/2096...
#OceanScience #Argofloats @wmo-global.bsky.social @acccflagship.bsky.social @helsinki.fi

📢 [Technical Note] An interactive toolkit based on Google Earth Engine for visual interpretation and analysis of land cover and land cover changes
👉https://doi.org/10.1080/20964471.2025.2608464
#GEE #Toolkit #landcover #remotesensing #earthobservation #GIS #visualization #landuse

Great paper! Many thanks, Greg👍

A digital twin approach for the identification and update of ecological infrastructure Addressing the global environmental crisis necessitates coordinated efforts, supported by open and reproducible research practices. Such practices aim to enhance the reliability, efficiency, and cr...

New paper | A digital twin approach for the identification and update of ecological infrastructure
This technical note presents a reproducible and automated approach for supporting land management and planning by identifying and updating ecological infrastructure
doi.org/10.1080/2096...

📢 Deriving peri-urban settlement typologies from Landsat time series analysis: the case study of #Mankweng and environs (South Africa)
👉 doi.org/10.1080/2096...
#satellite #periurban #settlement #SouthAfrica #Landsat #landuse #landcover #SDGs #remotesensing #GIS #cartography #geovisualisation

📢 A transformer-based multi-feature fusion method for detecting traffic events using Twitter data
👉 doi.org/10.1080/2096...
💌 #traffic #urban #Twitter #remotesensing #GIS #dataanalysis #BigData #deeplearning #urbanmobility #transportation #humanmobility #smartcity #digitaltwin #GeoAI

📢Artificial intelligence-driven #precipitation #downscaling and projections over #Thailand using #CMIP6 climate models
👉https://doi.org/10.1080/20964471.2025.2547500
💌 #AI #DyNN-Mem #LSTM #CNN #Deeplearning #machinelearning #CMIP6 #hydrology #climatechange #remotesensing #WaterResources

💞 🎄 💞 🎄💞This holiday season, we send our heartfelt thanks to our amazing editors, authors, reviewers, and readers. We’re so excited to keep collaborating with you in 2026! Wishing you a warm, joyful Christmas and a New Year full of peace, happiness, and wonderful new opportunities.🌸 🍀 🌸🍀 🌸

📢Harnessing generative AI for enhanced disaster management: a systematic review
👉https://doi.org/10.1080/20964471.2025.2521157
💌#AI #LLMs #disaster #PRISMA #review #SWOT#disastermanagement #risk #remotesensing #GIS

The front page of our article in Big Earth Data journal titled "Evaluation of ten satellite-based and reanalysis precipitationdatasets on a daily basis for Czechia (2001–2021)" by Daniel Paluba, Vojtěch Bližňák, Miloslav Müller and Přemysl Štych. Access the study using the DOI link: https://doi.org/10.1080/20964471.2025.2592444

Our new #OpenAccess paper in @bigearthdata1.bsky.social @tandfresearch.bsky.social on evaluation of 10 satellite-based and reanalysis #precipitation datasets on a daily basis for #Czechia

doi.org/10.1080/20964471.2025.2592444

Most accurate: GSMaP & ERA5-Land
Worst results: CHIRPS, GLDAS & PERSIANN

Towards a Global Ground-Based Earth Observatory (GGBEO): Leveraging existing systems and networks by Hanna K. Lappalainen, Markku Kulmala and et al.
👉 doi.org/10.1080/2096...
💌 #SDGs #PEEX #climate #FAIR #TRUST #geoscience #remotesensing #earthobervation #environment #atmosphere

📢 [Review Article] Exploring the concept of digital twins of #wetlands for supporting #ecosystem monitoring and management by Bing Lu, Lucie Francescutto et al.
👉 doi.org/10.1080/2096...
💌 #climatechange #visualization #digitaltwin #remotesensing #GIS

📢 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 Accurate real-time information is crucial for effective flood risk management, especially in regions with complex terrain and irregular rainfall patterns. This study developed a hybrid model integr...

📢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 Data visualization is a key component of any scientific data analysis workflow and is vital for the summarization and dissemination of complex ideas and results. One common hurdle across the Earth ...

📢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!

A novel ensemble model for multi-temporal forest vegetation classification: integrating spectral-temporal features and topographic constraints Understanding species distribution in large forest ecosystems is fundamental for biodiversity conservation, biomass estimation, climate regulation, soil and water conservation. While remote sensing...

📢 [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

Harnessing generative AI for enhanced disaster management: a systematic review In the consistently evolving artificial intelligence (AI) and large language models (LLMs), many organizations adopt these technologies’ capabilities to solve and assist core operations in many ind...

📢 [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

Plot of global benthic δ18O data for 0 – 5.3 Ma (Lisiecki & Raymo, 2005) with geomagnetic polarity subchrons displayed on the top x-axis and planktic foraminiferal primary biozones plotted on the bottom x-axis using the deeptime package.

A mammal phylogeny (Garland et al., 1992) plotted in the fan layout using the ggtree and deeptime packages. The greyscale concentric circles in the background indicate geological stages, whereas the linear colored timescale indicates geological epochs.

Early tetrapod occurrence data (Jones et al., 2023) plotted as a taxonomic/biostratigraphic range plot using the geom_points_range() function from the deeptime package.

A stratigraphic column of Cretaceous lithostratigraphic units from the San Juan Basin, USA. The deeptime package has been used to add pattern fill which indicate the primary lithologies of the units as reported by the Macrostrat API (Peters et al., 2018) via the rmacrostrat R package (Jones et al., 2024).

📢 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