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A novel ensemble model for multi-temporal forest vegetation classification: integrating spectral-temporal features and topographic constraints

Reposted by Big Earth Data

Will Gearty @willgearty.bsky.social · Aug 6

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!

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Big Earth Data @bigearthdata1.bsky.social · 21d

📢 [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

Understanding species distribution in large forest ecosystems is fundamental for biodiversity conservation, biomass estimation, climate regulation, soil and water conservation. While remote sensing...

Harnessing generative AI for enhanced disaster management: a systematic review

Big Earth Data @bigearthdata1.bsky.social · Sep 10

📢 [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

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...

Big Earth Data @bigearthdata1.bsky.social · Sep 2

📢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

Reposted by Big Earth Data

Will Gearty @willgearty.bsky.social · Aug 6

📢 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

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).

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Big Earth Data @bigearthdata1.bsky.social · Aug 20

📢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

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Big Earth Data @bigearthdata1.bsky.social · Aug 4

📢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

Big Earth Data @bigearthdata1.bsky.social · Jul 25

📢[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

Big Earth Data @bigearthdata1.bsky.social · Jul 18

📢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

Big Earth Data @bigearthdata1.bsky.social · Jul 4

📢 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

Big Earth Data @bigearthdata1.bsky.social · Jun 24

📢 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

Detection of drainage ditches from LiDAR DTM using U-Net and transfer learning

Big Earth Data @bigearthdata1.bsky.social · Jun 18

📢[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

Accurate mapping of ditches is essential for effective hydrological modeling and land management. Traditional methods, such as manual digitization or threshold-based extraction, utilize LiDAR-deriv...

Big Earth Data @bigearthdata1.bsky.social · Jun 10

📢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

Big Earth Data @bigearthdata1.bsky.social · Jun 3

📢 [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

Big Earth Data @bigearthdata1.bsky.social · May 27

📢 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

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Big Earth Data @bigearthdata1.bsky.social · May 12

📢 [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

Big Earth Data @bigearthdata1.bsky.social · Apr 27

📢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

Big Earth Data @bigearthdata1.bsky.social · Apr 17

📢[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

Reposted by Big Earth Data

Daniel Plauba @palubad.bsky.social · Feb 14

🔥 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 👇

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Big Earth Data @bigearthdata1.bsky.social · Apr 3

📢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

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Big Earth Data @bigearthdata1.bsky.social · Apr 3

👍👍👍

STURM-Flood: a curated dataset for deep learning-based flood extent mapping leveraging Sentinel-1 and Sentinel-2 imagery

Reposted by Big Earth Data

Miguel D. Mahecha @miguelmahecha.bsky.social · Mar 5

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....

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Big Earth Data @bigearthdata1.bsky.social · Mar 21

📢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

Big Earth Data @bigearthdata1.bsky.social · Feb 21

📢 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

Flooding is a major global natural disaster exacerbated by climate change and urbanization. Timely assessment and mapping of inundations are crucial for preventive and emergency measures, driving t...