Novel LULC mapping via indices-fused deep models and time series reconstruction to generate time intensive 10 m seamless LULC maps in Pearl River Delta, China. https://lnkd.in/gd3wfCRH #geoai #landcover #timeseries #satellite #cloudy #rainy #pearlriverdelta #mapping
Qihao Weng’s Post
More Relevant Posts
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Advisor | Geospatial | GeoAI | CMO | Problem Solver | Former Esri executive | Earth Champion | Speaker
Check out the latest update to the #QGIS digitizing plugin. There are still thousands of maps needing to be digitized! Let’s go! #GIS #opensource
1 month and over 10,000 downloads in #QGIS later, we're releasing our most significant update to our AI Digitization plugin! Now, the plugin will digitize differently based on how zoomed in or out you are, so large features and smaller, more detailed features get a better balance of speed and accuracy (shown in the gif below). This dramatically improves performance on aerial imagery, computer generated maps, and large features on high resolution maps 👀 And, coming soon, is a completely new, more powerful AI model trained to preform better on aerial imagery, geology maps, and black and white maps, all while getting distracted less and making longer completions... #geospatial #gis #geoai
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1 month and over 10,000 downloads in #QGIS later, we're releasing our most significant update to our AI Digitization plugin! Now, the plugin will digitize differently based on how zoomed in or out you are, so large features and smaller, more detailed features get a better balance of speed and accuracy (shown in the gif below). This dramatically improves performance on aerial imagery, computer generated maps, and large features on high resolution maps 👀 And, coming soon, is a completely new, more powerful AI model trained to preform better on aerial imagery, geology maps, and black and white maps, all while getting distracted less and making longer completions... #geospatial #gis #geoai
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When you download our plugin in QGIS you'll automatically be on 1.10, or if you already installed it there's an option to update in the manage plugins window Give the new zoom a try and let us know what you think!
1 month and over 10,000 downloads in #QGIS later, we're releasing our most significant update to our AI Digitization plugin! Now, the plugin will digitize differently based on how zoomed in or out you are, so large features and smaller, more detailed features get a better balance of speed and accuracy (shown in the gif below). This dramatically improves performance on aerial imagery, computer generated maps, and large features on high resolution maps 👀 And, coming soon, is a completely new, more powerful AI model trained to preform better on aerial imagery, geology maps, and black and white maps, all while getting distracted less and making longer completions... #geospatial #gis #geoai
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Amazing GIS tool for your polylines and polygons! I have done similar picking roads during the development of PIE-Label, I wonder if this auto-plot plugin works for unseparated or overlapping shape files, and satellite radar or optical images with tree shadows and various ground features such as muddy, concrete or asphalt roads. #QGIS #mapping #shapefile #ai
1 month and over 10,000 downloads in #QGIS later, we're releasing our most significant update to our AI Digitization plugin! Now, the plugin will digitize differently based on how zoomed in or out you are, so large features and smaller, more detailed features get a better balance of speed and accuracy (shown in the gif below). This dramatically improves performance on aerial imagery, computer generated maps, and large features on high resolution maps 👀 And, coming soon, is a completely new, more powerful AI model trained to preform better on aerial imagery, geology maps, and black and white maps, all while getting distracted less and making longer completions... #geospatial #gis #geoai
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Excellent!. Digitizing has been a real pain for some, especially tracing it manually on a raster map. Loving this autotracing tool already and will definitely give it a try!
1 month and over 10,000 downloads in #QGIS later, we're releasing our most significant update to our AI Digitization plugin! Now, the plugin will digitize differently based on how zoomed in or out you are, so large features and smaller, more detailed features get a better balance of speed and accuracy (shown in the gif below). This dramatically improves performance on aerial imagery, computer generated maps, and large features on high resolution maps 👀 And, coming soon, is a completely new, more powerful AI model trained to preform better on aerial imagery, geology maps, and black and white maps, all while getting distracted less and making longer completions... #geospatial #gis #geoai
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QGIS is getting AI digitizing capabilities!
1 month and over 10,000 downloads in #QGIS later, we're releasing our most significant update to our AI Digitization plugin! Now, the plugin will digitize differently based on how zoomed in or out you are, so large features and smaller, more detailed features get a better balance of speed and accuracy (shown in the gif below). This dramatically improves performance on aerial imagery, computer generated maps, and large features on high resolution maps 👀 And, coming soon, is a completely new, more powerful AI model trained to preform better on aerial imagery, geology maps, and black and white maps, all while getting distracted less and making longer completions... #geospatial #gis #geoai
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🌊Exciting News! #HighlyCitedPaper🌊 The paper on "Prediction of Significant Wave Height in Offshore China Based on the Machine Learning Method" has been highly cited! Thank you to all the researchers and practitioners for your interest. #ShandongUniversityofScienceandTechnology 👉Read the paper here: https://lnkd.in/g_PUjBjz #WavePrediction #MachineLearning #Oceanography
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Kitware's IARPA SMART team is focused on using satellite imagery to track environmental changes in near real-time. Our open source framework, GeoWATCH, enables training and deploying geospatial AI models that can have a broad impact. For example, helping scientists track man-made deforestation in remote parts of the Amazon rainforest. Learn more by reading our project spotlight: https://ow.ly/zYpQ50RpbLN #satellite #satelliteimagery #geospatial #ai #aimodels #environmentalmonitoring #environment #satellitedata #algorithm #environmentalscience
IARPA SMART Project Builds on Construction Detection Mission
kitware.com
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Dear friends and colleagues, Here is the result of one of my master students Hector Alfredo Saldaña Sotelo who along with excellent co-authors (one them myself 😊) worked on #numerical #modeling of soil #liquefaction. We analyzed a great case history from the 2010 Maule Earthquake, where equal buildings on the same lot had extremely different behavior due to liquefaction-induced settlements. Using CPT data, shear-wave velocity and its spatial variability, calibrated numerical models we could explain #lidar measurements by Robert Kayen, which were part of the GEER reconnaissance effort, begin to understand the effects of spatial variability and long duration events on liquefaction behavior, as well as some interesting findings such as that currently used vulnerability indexes (for liquefaction) underestimate damage for subduction events. If you’re interested in these topics please come and have a look at the free access link below (until March 30th!)
Please wait
sciencedirect.com
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Researcher PHD Student in Remote Sensing and Geosciences at University of Napoli ‘Federico II’
#newpaperalert🤞(*_*) I'm delighted to announce that our paper ''Synergistic use of SAR satellites with deep learning model interpolation for investigating of active landslides in Cuenca, Ecuador'' has been published in Geomatics, Natural Hazards, and Risk Journal (Taylor & Francis Groupe). The objectives of the study were: 🛰️ Synergic MT-InSAR approach for studying landslide deformation in diverse kinematic areas. 🛰️ Utilized DLAs (LSTM and CNNs) for effective temporal and spatial interpolation of InSAR results. 🛰️ Findings emphasize the potential of multi-sensor SAR and DLAs for landslide monitoring regarding improving the RMSE at nine stations with an average of 73%. I am grateful for the efforts of all co-authors, Prof. Diego Di Martire and Dr.Silvio Coda. DiSTAR Unina , Università degli Studi di Napoli Federico II #remotesensing #SBAS #PSI #MT_InSAR #GPS #deformation #Deep_learning #LSTM #CNN #interpolation #timeseries_analysis #risk_mitigation
Synergistic use of SAR satellites with deep learning model interpolation for investigating of active landslides in Cuenca, Ecuador
tandfonline.com
PhD Scholar | Remote sensing & GIS | Construction industry
4moThanks for sharing