Remote Sensing MDPI’s Post

👋👋 A #RandomForest-Based CA-Markov Model to Examine the Dynamics of #LandUse/#CoverChange Aided with Remote Sensing and #GIS ✍️ Zhenyu Zhang et al. 🔗 https://brnw.ch/21wP1Vc

The process of identifying an object's location relies on analyzing even the smallest details, with maps being a key resource in geospatial intelligence. In the link below you will find a solid resource to freely use

New method estimates #ECV #RiverDischarge only from remote sensing - perfect for filling gaps in the global in-situ network. By combining 20 years of satellite #altimetry with high-res imagery, we model ungauged rivers down to <100 m width. Only 12% RMSE! https://lnkd.in/e97esM3v

🕵♂️ Identifying the precise location of an object is both a fascinating and intricate task. Every piece of information matters, and even the smallest detail can serve as a clue in helping us reach our objectives—whether it's a road sign, a traffic signal, terrain features, road markings, signboards, power lines, and more. Maps play a crucial role in GEOINT (Geospatial Intelligence) analysis. The following website contains a great collection of information and instruments you can use to practice and do your own research: https://lnkd.in/dNPxH75B

🔥🌳🔥 A #GoogleEarthEngine Approach for #Wildfire Susceptibility Prediction #Fusion with Remote Sensing #Data of Different Spatial Resolutions ✍️ Sepideh Tavakkoli Piralilou et al. 🔗 https://brnw.ch/21wPoYS

🌊🏠 Double Branch Parallel Network for #Segmentation of #Buildings and #Waters in Remote Sensing Images ✍️ Jing Chen et al. 🔗 https://brnw.ch/21wOVtV

What could you achieve with precise satellite imagery? Maxar’s satellite imagery provides the insights you need for informed decision-making across industries. • High resolution: Access precise imagery for object detection, urban growth analysis, environmental monitoring,and elevation modelling. • Versatile solutions: Ideal for land use modelling, flood risk assessments, and more. • Actionable insights: Supports agriculture, vegetation health analysis, and mineral exploration. Discover how Maxar’s data can transform your geospatial analysis. Connect with Harry Bogiatjis or email us at hello@geospatial-insight.com. #GIS #GeospatialData #Maxar #SatelliteImagery #GeospatialSolutions

Had a great time presenting a poster at #AGU24 in DC this past week. This poster covers my most recent study: “Deep Learning-Based Building and Road Detection Reveals Higher Permafrost Thaw-Related Damage Costs Than Previously Estimated for Alaska”. Using a building and road extraction deep learning model trained on satellite imagery of the Arctic, 17 million square meters of buildings missing from OpenStreetMap were identified across Alaska. This new information suggests that permafrost thaw will damage even more infrastructure and cost billions more than previously estimated. In continuing to improve information that can feed permafrost thaw risk studies, this model will further be used to map buildings and roads across the Russian and Canadian permafrost. Currently in review, the preprint can be found here https://lnkd.in/eXttXD8k.

Change detection in #RemoteSensing involves comparing multiple satellite images taken before, during, and after an event to identify differences in the area of interest. By analyzing these changes, it is possible to track transformations in large areas, making this technique invaluable for monitoring regional changes. On Bribie Island, comparing images from 2021 to 2024 reveals how the northern tip has evolved, including the formation of new channels.

🌍 Project Title: Wildfire Identification in Southern California Using Remote Sensing Techniques. 🗓 Date: January 2025 💡 Platform Used: Google Earth Engine 📊 Key Tool: Burn Area Index (BAI) Overview: This project demonstrates the use of remote sensing for wildfire detection in Southern California, mapping burned areas (in red) and forest cover (in green). Google Earth Engine was employed for efficient geospatial analysis and visualization. 🔹 Significance: Early detection and mapping of wildfires help in disaster management and resource planning. This study highlights how satellite imagery and computational tools can provide critical insights for mitigating wildfire impacts. #GIS #RemoteSensing #WildfireMapping #GoogleEarthEngine #GeospatialAnalysis #EnvironmentalMonitoring #CaliforniaWildfire