Satelytics’ Post

Exciting developments in vegetation management! Partnering with LiveEO for satellite imagery analysis has been a game-changer. Detecting subtle changes in tree health over time is now possible, empowering us to make data-driven decisions for optimal vegetation control and ensuring safety and reliability in utility operations. #SatelliteImagery #DataDrivenSolutions #VegetationAnalysis #LiveEOPartner

The first global map of tidal marsh locations was developed using satellite-based imagery.

It always amazes me how much time and effort that is required by transmission companies for vegetation management. It’s easy to see why the proliferation of remote sensing technologies and geospatial analytics is accelerating in this space. #vegetationmanagement #geospatialanalysis #utilityindustry #utilitymapping #accuweather #accuweatherforbusiness

Our stewardship team has recently started using satellite imagery as part of our ongoing monitoring of protected lands, and we're excited to share an example of what we can learn with this technology! Because they literally show a (very high-flying) bird’s eye view, satellite images give us valuable insights about the big picture of a property. Remember the newly protected land on Cox’s Lake? It was badly burned in the fires of summer 2023, and the damage to the forest canopy is easily visible in the "trucolor" images - you can see the deep green covering the whole property compared to the large swathes of brown, where the visible forest layer was obviously damaged. But the satellite imagery also records wavelengths not visible to the human eye, and in the case of Cox’s Lake, this extra information gives us lots of hope! The "Normalized Burn Ratio" view uses near-infrared and shortwave infrared to help us understand the timing and severity in the burned areas. In general, spring fires (like in this case) tend to burn faster than fires later in the season; the deeper soil layers hold moisture and take longer to dry out. This means that while the visible surface damage of an early season fire may be extensive, the roots of trees often remain intact. And indeed, this imagery shows us that the major damage below the forest canopy was largely confined to a single hotspot on the northeast edge of the land. Red Maple shoots already started to regrow from the intact roots by the end of the same summer. Bracken fern returned within two months. The Nature Trust will closely monitor this summer’s regrowth (including using the satellite analysis of vegetation) and assess whether to do replanting next year. We are grateful to the fire crews, without whom the fire damage would have been far greater. And we are delighted to further explore what this technology has to offer us in the care of our protected lands! #conservationscience #techforgood #science #novascotia

GIS Tip: Leverage Remote Sensing for Vegetation Analysis 🌳🛰️ Remote sensing is a game-changer in conservation, allowing us to monitor vegetation changes over time with high precision. By utilizing satellite imagery in GIS programs, you can track deforestation, habitat degradation, and vegetation health. To get started: Access satellite imagery from sources like Landsat or Sentinel (freely available). Use the 'NDVI' (Normalized Difference Vegetation Index) tool to analyze vegetation health. Visualize changes over time to identify areas needing conservation action. Remote sensing provides valuable insights for proactive conservation strategies, helping us protect and restore critical habitats. Stay tuned for more tips on harnessing GIS for conservation! #GIS #RemoteSensing #Conservation #VegetationAnalysis #NDVI #Sentinel #EOBrowser #sACSCGIS Figure caption: NDVI imagery from Sentinel imagery accessed from the EO Browser website

ICYMI, we recently launched four new land use layers within our 3D Nationwide Land Cover dataset. Distinguishing between cultivated cropland, pasture, wild grass, and developed open space, these new features power a more granular representation of land cover and enable advanced geospatial analytics related to: 🏞️ land use planning 💰 tax assessment 🌳 environmental stewardship ⚠️ hazard mitigation & other initiatives critical to resource allocation and decision-making. 💡Learn more about Ecopia AI’s new land use data layers here: https://lnkd.in/efRwfB8Y #LandUse #LandCover #Mapping #AI #GIS #Geospatial

🌿 Ever wondered how #mangrove landscapes change over time? Our platform lets you explore mangrove cover extent through an exclusive machine learning model. Users can switch between mangrove and surrounding vegetation cover, viewing land cover dynamics over time. 💡 Explore the feature and join us today! #satellitedata #geospatial #mangroves #environmentalmonitoring

#CLIMAREST #RelevantPublications #BioIntertidalMapper is a user-friendly tool, with a graphical user interface, that automates the selection and processing of Sentinel-2 imagery, to generate intertidal habitat maps. The software uses Google Earth Engine API and the WorldTides API to select imagery acquired at low tide within a specified timeframe. These images are subsequently processed to calculate a Normalized Difference Vegetation Index, which is masked, based on a shapefile defining the area of interest. The program offers a simple solution for scientific and environmental manager to map intertidal habitats using free and publicly available satellite imagery. https://lnkd.in/dA_gCs-B #missionocean #horizoneurope #EUMissions #citizenscience #seagrass #intertidalmapping #toolbox

🔍 Data Discovery | Woody Age Since Disturbance - QLD Coverage The purpose of these data is to provide an estimation of woody vegetation age for ongoing monitoring and reporting. Thirty-three years (1988-2021) of seasonal Landsat fractional cover components were used in the woody likelihood modelling and regrowth event detection. The age since disturbance product is derived from multiple satellite image sources and derived products which represent different scales and resolutions. Regrowth detection is combined with the Statewide Land and Trees Study (SLATS) Landsat historic clearing data to provide a preliminary estimate of age since disturbance for each woody pixel in the woody extent. Access this dataset on the TERN Data Discovery Portal: https://bit.ly/3T07IMM (Images: Mosaic of seasonal images for Queensland, for March–May 2008) #datadiscovery #data #research #vegetation #monitoring #satelliteimagery

🔥 #Wildfires present a formidable challenge in #naturaldisastermanagement. In the latest #TemaEU article, Mauro Manente from Latitudo 40, explores revolutionising wildfire damage assessment through integrating satellite and rover technologies with advanced algorithms. ➡ Read more 🔗 https://lnkd.in/dAgH-Yix #TemaEU #HorizonEU #damageassessment #satellitetechnology #rovertechnology #riskmanagement #disastermanagement