PlanetSapling

We are delighted to have supported PlanetSapling’s commercial growth over the past month! Atmos Impact collaborated with them to develop scalable climate data solutions for targeted market segments. We're excited for the official launch of those capabilities, coming soon! ?? For an immediate preview of their capabilities, check out this incredible open wildfire data tool that PlanetSapling’s LocalSolve team just released for assessing damage from the LA wildfires: https://lnkd.in/evR35P4a Users can visualize geolocated burn severity, fire progression and vegetation species — pulling in critical data from: - ??? imagery & burn severity data from Sentinel 2 (Copernicus Data Space Ecosystem) - ?? fire hotspots from VIIRS (NASA - National Aeronautics and Space Administration) - ?? vegetation species data from National Park Service - ?? infrastructure data from OpenStreetMap Unified information like this is critical for resiliently rebuilding Los Angeles. Wildfire analytics are just one of several climate datasets PlanetSapling can provide. We look forward to sharing more over the coming months! #wildfiredata #geospatialdata #climaterisk #clientsuccess #lawildfires

Introducing a Wildfire Burn Severity and Vegetation Impact Visualization Tool for LA Wildfires in Los Angeles are becoming more frequent and intense, leaving lasting impacts on ecosystems and communities. To drive post-fire resilience and restoration, we’ve developed an interactive application that allows users to visualize burn severity, fire progression, pre-fire vegetation types, and invasive species presence—critical data for rebuilding landscapes strategically. Explore it here - https://lnkd.in/db-CmgPm This tool empowers land managers, researchers, and local communities to: ?? Understand which vegetation types were most affected by wildfires. ?? Identify areas near Altadena with invasive species which are fire hazards. ??? Track fire progression and map burn severity. By integrating satellite data and ecological insights, this platform supports targeted restoration strategies, ensuring that fire-impacted areas recover with resilience. Feel free to DM me for any questions! This project is part of PlanetSapling's LocalSolve community—a global network of geospatial data scientists and enthusiasts dedicated to replicable, impactful climate data projects. If you’re interested in leveraging geospatial data for climate action, join us in scaling solutions that drive real-world impact. Huge kudos to the LocalSolve team behind this effort - Magdalena Kortas, Palak Agarwal, Keenan Eves, Emmanuel Alafaa, Aurelien C., Vanesa Martín-Arias, and Kabir Ahamad #climateaction #geospatial #wildfires #climatechange #satellitedata #gis

Final Reminder - PlanetSapling's session on wildfires will happen at 2 pm PT/4 pm CT TODAY! The live session will take place here on this link - https://lnkd.in/dkQ5MUj8 This session will go over how to map wildfires and wildfire burn severity using satellite data! Do join if you are able and I strongly encourage you to register in order to receive code files and follow up information. Register here - https://lnkd.in/dwMctKSR #geospatial #datascience #wildfires #california #climateaction #remotesesning #satellitedata

This coming Wednesday, I will be hosting a new FREE LIVE session for 2 hours focused on mapping wildfires and burned areas using satellite data. This session will go through a full hands on methodology to map fires and wildfire burn severity for the recent fires in Los Angeles earlier this year. This is the very first project completed by PlanetSapling's LocalSolve community - a global community of geospatial?data scientists focused on creating impactful?data driven tools for #climateaction Date: Wednesday, March 5, 2025 Time: 2 pm - 4 pm Pacific Time (10-11 pm UTC) Register to save your seat ASAP here - https://lnkd.in/gFmSvHuN Once registered, you will receive access to an interactive tool allowing you to see the burned severity and vegetation types affected. Feel free to DM for any questions! Huge shoutout to the fellow team members who worked on this project- Palak Agarwal, Magdalena Kortas, Keenan Eves, Emmanuel Alafaa, Aurelien C., Kabir Ahamad, and Vanesa Martín-Arias. Check out their work too! #geospatial #gis #wildfires #satellitedata #remotesensing #datascience #climatechange

?? Best Sources for Accessing Wildfire Satellite Data Wildfires are increasing in frequency and intensity, making timely and accurate data critical for monitoring, response, and recovery. Whether you’re a researcher, emergency responder, or data scientist, knowing where to access satellite fire data is essential. Here’s a breakdown of the best sources for finding wildfire datasets like VIIRS, MODIS, GOES, Sentinel-2, and Landsat. 1?? NASA FIRMS (Fire Information for Resource Management System) ?? Datasets Available: MODIS (1km), VIIRS (375m) ?? Best for: Near-real-time active fire detection, global fire monitoring ??Provides fire hotspot locations within 3 hours of a satellite overpass. You can access interactive maps, fire shapefiles, and API downloads for use in GIS and Python workflows. ???? If you're interested in a deep dive on mapping wildfires using satellite data, join PlanetSapling's upcoming FREE LIVE SESSION on March 5! ?? - Register here?- https://lnkd.in/dSYjRY4h 2?? NOAA CLASS (Comprehensive Large Array-data Stewardship System) ?? Datasets Available: VIIRS (JPSS-1, NOAA-20), GOES-16/17 ?? Best for: Historical fire data, advanced fire radiative power (FRP) analysis ??GOES and VIIRS fire data, ideal for studying historical wildfire trends. More detailed than FIRMS, but requires downloading raw data. 3?? Google Earth Engine (GEE) ?? Datasets Available: MODIS, VIIRS, Sentinel-2, Landsat ?? Best for: Large-scale wildfire trend analysis, burn severity mapping ?? GEE allows cloud-based processing of long-term fire data without downloading massive files. Ideal for remote sensing analysis and visualizations. 4?? NASA Worldview ?? Datasets Available: MODIS, VIIRS, GOES ?? Best for: Interactive wildfire tracking, near real-time imagery ?? A visual dashboard for tracking fires globally. You can overlay MODIS/VIIRS hotspots, smoke plumes, and thermal anomalies for a quick situational overview. 5?? Copernicus Emergency Management Service (CEMS) and EFFIS ?? Datasets Available: Sentinel-2, Sentinel-3, MODIS ?? Best for: EU-focused fire emergency response, burn area mapping ?? Detailed fire maps and emergency response products, mainly for Europe. 6?? NOAA Hazard Mapping System (HMS) ?? Datasets Available: VIIRS, MODIS, GOES ?? Best for: Smoke detection, fire perimeters, rapid updates ?? HMS integrates multiple satellite sources to provide comprehensive wildfire and smoke plume tracking for North America. ?? Best Source for Your Needs: ? Need real-time wildfire tracking? → NASA FIRMS, NOAA HMS, NASA Worldview ? Want historical fire data? → NOAA CLASS ? Mapping burn scars? → Sentinel-2, Landsat via Google Earth Engine ? Monitoring smoke transport? → GOES via NOAA HMS ?? Pro Tip: Use Google Earth Engine to combine multiple datasets and automate analysis at scale! Which sources do you use the most? Drop a comment! ?? #geospatial #gis #wildfires #remotesensing #losangeles #satellitedata #datascience #nasa

This is an excellent opportunity to help preserve critical datasets for the broader community!

?? Top 5 Satellite Datasets for Mapping Wildfires Wildfires are becoming more frequent and intense, making real-time monitoring and accurate mapping critical. Fortunately, satellites provide powerful datasets to detect, track, and assess wildfire impacts. Here’s a breakdown of the best satellite datasets for wildfire monitoring, based on spatial and temporal resolution: 1?? VIIRS (Visible Infrared Imaging Radiometer Suite) ?? Resolution: ~375 m ? Update Frequency: 6-hourly (SNPP + NOAA-20) ?? Best for: Near-real-time active fire detection, fire front tracking VIIRS provides higher-resolution fire detection than MODIS and is widely used for hotspot identification, burned area mapping, and night-time fire tracking. (?? If you're interested in a deep dive on mapping wildfires using satellite data, join PlanetSapling's upcoming FREE LIVE SESSION on March 5! ?? - Register here - https://lnkd.in/dwMctKSR) 2?? MODIS (Moderate Resolution Imaging Spectroradiometer) ?? Resolution: 1km (thermal) ? Update Frequency: Daily ?? Best for: Long-term fire trends, smoke tracking MODIS has been a workhorse for wildfire monitoring since 2000. It provides historical fire records and is crucial for global wildfire analysis, though it has lower spatial resolution compared to VIIRS. 3?? GOES (Geostationary Operational Environmental Satellites) ?? Resolution: 2km ? Update Frequency: Every 5-10 minutes ?? Best for: Real-time wildfire tracking, rapid fire spread detection GOES is the fastest for wildfire detection due to its high temporal resolution, making it ideal for emergency response teams. While it lacks finer spatial detail, its rapid updates help track fire evolution in near real-time. 4?? Sentinel-2 (MultiSpectral Instrument - MSI) ?? Resolution: 10m (optical), 20m (SWIR) ? Update Frequency: 5 days ?? Best for: Burned area mapping, vegetation recovery, detailed fire scars Sentinel-2 is not ideal for active fire detection but excels at post-fire damage assessments due to its high spatial resolution. The SWIR bands (B11, B12) are great for burn severity analysis. 5?? Landsat-8/9 (Operational Land Imager - OLI & Thermal Infrared Sensor - TIRS) ?? Resolution: 30m (visible & SWIR), 100m (thermal) ? Update Frequency: 16 days (individual), 8 days (constellation) ?? Best for: Historical fire trends, detailed burn scars, vegetation impact Landsat’s long-term record makes it perfect for historical wildfire analysis and burn severity mapping. Though its revisit time is longer, it provides excellent detail for post-fire recovery studies. Which dataset should you use? ? Need real-time fire tracking? → GOES ?? ? Want near-real-time fire detection? → VIIRS, MODIS ?? ? Mapping burned areas in detail? → Sentinel-2, Landsat #geospatial #gis #satellitedata #wildfires #remotesensing #datascience

?? Mapping Burn Severity for Fire Resilient Restoration in LA Wildfires are reshaping landscapes worldwide, but how do we map burn severity to guide ecosystem recovery? Join me for a FREE Live session where we’ll explore how geospatial data and satellite imagery can be used to assess burn severity and support future restoration efforts via our case study in Los Angeles. ??? This is part of PlanetSapling’s LocalSolve community—a global network of geospatial professionals tackling climate adaptation and mitigation challenges with replicable data-driven solutions. ?? When: March 5 at 4 PM Central Time (10 PM UTC) Register here ASAP - https://lnkd.in/dwMctKSR ?? What You'll Learn: ? How to map burn severity and differentiate high, moderate, and low burn areas ? Key satellite datasets (Sentinel-2, MODIS, Landsat) and remote sensing techniques ? Hands-on demonstration of tools like Google Earth Engine & Python The snapshot below is a teaser of the upcoming release of our LA Wildfires application! The full methodology and app demo will be shown in this session. ?? Who is this for? Geospatial enthusiasts, ecologists, land managers, environmentalists, journalists, and anyone curious about how we use satellite data for post-fire landscape recovery. ?? Huge shoutout to the incredible team contributing to burn severity mapping and vegetation mapping: Palak Agarwal, Magdalena Kortas, Keenan Eves, Emmanuel Alafaa, Kabir Ahamad, Vanesa Martín-Arias, Aurelien C. #geospatial #wildfires #losangeles #california #gis #datascience #satellitedata #remotesensing

???How to Map Wildfire Damage in LA Using Satellite Data ???How do we track and analyze wildfire destruction from space??Join me for a FREE?YouTube Live session?where we’ll dive deep into?how geospatial data and satellite imagery?can be used to?map, monitor, and assess wildfire damage in Los Angeles. This is the first project via PlanetSapling's LocalSolve community - a global community of geospatial folks working on climate adaptation and mitigation based data projects! When - March 5 at 4 pm Central Time (10 pm UTC) Register here ASAP using this short form - https://lnkd.in/dwMctKSR ???What You'll Learn: ? How satellite data helps detect burn areas and wildfire severity ? Key datasets (Sentinel-2, MODIS, Landsat) and remote sensing techniques ? Hands-on demonstration of mapping tools like Google Earth Engine & Python ? How this data informs disaster response and urban resilience ???Who is this for? Geospatial enthusiasts, data scientists, environmentalists, journalists, and anyone curious about how?we use satellite data to track and mitigate wildfires. Huge shoutout to an incredible team who worked on the upcoming LA Wildfires Damage App with more media releasing very soon - Palak Agarwal Magdalena Kortas Keenan Eves Emmanuel Alafaa Aurelien C. Kabir Ahamad Vanesa Martín-Arias #geospatial #remotesensing #wildfires #satellitedata #gis #losangeles #climateaction

I will be sharing some insights with an incredible fellow data scientist, Jonathan Gilmour, on using data science for climate action during this wonderful session hosted by Radhika Bhatt. It is completely free too! If you are exploring data science opportunities in the climate sector, this event is meant for you. ?? Date: Monday, February 10th, 12-1pm EST ?? Sign up here: https://lu.ma/cdgasq4p Please tag anyone who might be interested and spread the word. I really look forward to seeing you there! #datascience #climateaction #opendoorclimate #climatechange #gis #geospatial #climatedata