Mina Nada’s Post

🌍🔍 Understanding Species Distribution Modeling (SDM) with Google Earth Engine! Species Distribution Modeling (SDM) is a game-changing tool in conservation biology. It helps us map where species like Cedrela fissilis 🌳 can potentially thrive, based on environmental conditions such as climate, land cover, and soil attributes. By linking species presence data to environmental variables, we can estimate the current distribution of a species and even predict future shifts due to climate change or habitat loss. 🌡️🌿 One of the most exciting aspects of SDM is how platforms like Google Earth Engine (GEE) make large-scale modeling more accessible than ever. With GEE, conservationists can access vast environmental datasets, apply machine learning algorithms, and process models rapidly — all from a cloud-based platform. 🚀🌐 In the research led by Dr. Ramiro D. Crego (Crego et al., 2022), SDM was implemented using GEE's JavaScript Code Editor, showcasing how powerful and efficient this tool is for species conservation! 🖥️✨ Using SDM, we can visualize the distribution of Cedrela fissilis, a species crucial to many ecosystems, and assess the areas where conservation efforts should be prioritized. 🗺️🌱 This model not only helps us understand where this species currently exists but also where it could exist if environmental conditions change. This is key for shaping strategies to protect biodiversity in the face of global challenges. 🌎🛡️ Check out this distribution map of Cedrela fissilis below! 👇 #SpeciesDistributionModeling #SDM #Conservation #GoogleEarthEngine #GEE #CedrelaFissilis #Biodiversity #MachineLearning #Ecology #ClimateChange #ConservationTech #DrRamiroCrego #SaveOurSpecies

🌍 Exciting Milestone: Completed Course on Using Spatial Data for Biodiversity! I’m thrilled to share that I have recently completed a comprehensive course on Using Spatial Data for Biodiversity! In a world where conservation efforts and biodiversity management are more crucial than ever, understanding how to leverage spatial data is key to making informed decisions and driving impactful change. This course has been an enlightening journey, equipping me with valuable skills and insights to enhance our approach to preserving the natural world. Here are a few highlights from my learning experience: Advanced Spatial Analysis: Gained hands-on experience with UN Biodiversity Lab, GIS tools and techniques to analyze and visualize spatial data, which is vital for understanding habitat distributions and species movement patterns. Biodiversity Mapping: Learned how to create detailed maps that illustrate biodiversity hotspots and track changes in species diversity over time, providing crucial information for conservation planning. Data Integration: Explored methods for integrating diverse datasets to build comprehensive models that aid in predicting ecological changes and assessing the impacts of environmental policies. Real-World Applications: Delved into case studies and real-world scenarios where spatial data has been used to tackle pressing environmental issues, reinforcing the practical applications of the skills acquired. This course has not only deepened my understanding of spatial data but also strengthened my commitment to contributing to biodiversity conservation efforts. I am excited to apply these new skills to future projects and collaborate with like-minded professionals in the field. A big thank you to UNITED NATION DEVELOPMENT PROGRAMME(LEARNING FOR NATURE) for delivering such an informative and inspiring course. I look forward to the opportunities that lie ahead and to continuing the journey of learning and growth in this vital field. #Biodiversity #SpatialData #UNBiodiversityLab #GIS #Conservation #UNDP #Learningfornature

🌍 Leveraging Geospatial Data 🌿 In our discussions with companies, we often encounter the question of which datasets can be used to evaluate biodiversity. Below some examples of publicly available datasets for biodiversity assessments that are updated at least annually 🐾 Species Datasets: IUCN Red List Insights: Biodiversity hotspots, species status & trends Limitations: Data availability, resolution, paywall for commercial use 🌱 Vegetation Indices Datasets: NDVI, EVI, SAVI, etc. Insights: Vegetation health, vegetation productivity, habitat quality Limitations: Atmospheric Conditions, data interpretation 🏞️ Land Cover Datasets: Google's DW, ESA's WC, Esri's Land Cover Insights: Landscape patterns, habitat distribution, habitat quality Limitations: Classification errors, temporal dynamics, ecological context 🔍 Which other time series data are essential in your opinion? Comment below! Additionally, there are dozens of publicly available one-time datasets for initial biodiversity assessments. We're excited to announce that we will soon open source an extensive list of static geospatial data sources for nature assessments. Follow Leeana to be the first to receive updates. #nature #biodiversity #naturetech #startup

New research paper: #EarthRanger’s capabilities and real-world impact on conservation   With its foundations as the Elephant Real-time Monitoring System, developed by Save the Elephants, read how EarthRanger has grown into a comprehensive platform adopted at over 600 sites and projects across 74 countries.    The study, published in Methods in Ecology and Evolution, highlights EarthRanger’s advanced capabilities, integrating data from wildlife collars, AI-powered camera traps, satellite imagery, and on-the-ground observations. It also explores real-world applications, showing how EarthRanger empowers conservationists, from Liwonde National Park to Washington state’s Olympic Peninsula, to combat poaching, monitor wildlife, and make data-driven decisions in real time.    👉 Read the open-access study here to learn more about EarthRanger’s impact and real-world applications. #Tech4Wildlife

Exciting news! A new study shines a spotlight on how #EarthRanger, first developed as the Elephant Real-time Monitoring System by Save the Elephants, is transforming conservation worldwide!

🌟 Exciting News for Ecology Enthusiasts! 🌿🔍 We’re thrilled to unveil #idopNetwork, a transformative tool tailored for the complex world of spatial community ecology. This innovative network tool empowers researchers, conservationists, and environmental planners to uncover and analyze the intricate ecological relationships that define our natural environments. 🚀 What makes idopNetwork unique? Visual Mapping See the unseen! Our advanced mapping reveals the hidden connections within ecosystems. Dynamic Data Analysis Dive into the dynamics of ecological interactions across different scales and time periods. User-Friendly Whether you're a seasoned ecologist or a budding environmental scientist, idopNetwork is built for you. 👥 We believe in the power of community and collaboration. How do you handle data in your ecological research or conservation efforts? What tools do you find indispensable? 💬 Let’s start a conversation! Share your experiences, challenges, or a quick tip on ecological data analysis in the comments below. We’re here to learn from each other and push the boundaries of what our communities can achieve together. 🔗 Want to know more about how idopNetwork can transform your projects? Check out in ink https://lnkd.in/e8ta5h6e #Ecology #Conservation #CommunityEcology #SpatialAnalysis #Biodiversity #EnvironmentalScience #Innovation #Networking #EcologicalConservation

🌍 The power of GIS tools is growing, and remote site assessments, which they can provide, are becoming increasingly used by businesses looking to understand the biodiversity value of their built assets. Broad assessments can help understand existing habitat baselines, allowing businesses to make better-informed decisions to improve biodiversity, hit sustainable targets, and achieve regulatory compliance. Get in touch with our award-winning geospatial team for specialist environmental data management and analysis: https://lnkd.in/gp3d75K6 #gis #gismapping #habitatmapping #arbiculture #treemapping #marineconservation #manufacturing #manufacturingbusiness #spatialanalysis #geographicinformation #ecology #environmentalconsultancy #businessconsultancy #environmentalsupport

It's no secret that interconnected conservation lands create a feedback loop of benefits, enhancing biodiversity and ecosystem resilience. However, achieving accurate, large-scale identification of these opportunities can be challenging since keeping up the datasets requires extensive inter-organizational collaboration. Existing solutions like the National Conservation Easement Database (NCED) aim to aggregate conservation data, but maintaining national-level data with the local resolution required by many use cases is a complicated task. So, how did we tackle this for the Parcel-based Ecological Restoration Model (PERM)? Ultimately, we started with the NCED as a foundation and added a layer of invaluable "local knowledge." While our database begins with NCED, an inter-organizational user base can log in and edit a secondary "community" layer to update and expand on existing properties. These layers are then merged into one and treated the same. The result is an authoritative dataset enhanced with real-time, community-sourced information that fills the data gaps until NCED updates catch up. Though privacy concerns prevent us from making this dataset public, we’re open to sharing it with other nonprofit partners who could benefit from and contribute to its evolution. If you’re interested in collaborating on this effort, reach out—we’d love to connect. There's no cost...and everyone wins! #PERM #technology #conservation #ecology #gis #locationintelligence #geospatial #nced

🔥 Exploring Fire Scars with MapBiomas 🔍 Delving into the heart of environmental monitoring, we utilize Google Earth Engine to analyze fire scars and their evolution over time through the MapBiomas project. 🗺️ Mapping Regions of Interest: Define regions of interest (ROI) using feature collections representing Northeastern states and biome borders. Center the map view on the selected ROI for focused analysis. 🔍 Data Selection and Exploration: Access MapBiomas fire datasets, including annual burned coverage, monthly burned coverage, fire frequency, and monitoring data. Explore available bands and their properties to understand the dataset's structure and contents. 📅 Temporal Analysis: Create image collections spanning from 1985 to 2020, extracting fire scar data for each year. Filter and visualize specific years of interest, such as 1985 and 2020, to observe temporal trends in fire occurrence. 🌐 Insights and Applications: Mapping fire scars over time provides crucial insights into ecosystem dynamics, land use changes, and fire management effectiveness. Understanding fire patterns aids in developing proactive strategies for fire prevention, land conservation, and biodiversity preservation. 🚀 Join the Conversation: How can remote sensing data contribute to better fire management practices? Let's ignite discussions on environmental monitoring and leverage technology for a more sustainable future! Share your thoughts in the comments below. 🌱 Understanding Cerrado's Fire Dynamics: In addition to monitoring fire scars, it's crucial to address the unique fire dynamics of the Cerrado biome. The Cerrado, with its vast savannas and grasslands, experiences frequent fire events, often as a result of agricultural practices and land clearance. By studying fire patterns in the Cerrado, we gain insights into the region's ecological resilience and the impacts of human activities on its biodiversity. 🌐 Insights and Applications: Mapping fire scars over time provides crucial insights into ecosystem dynamics, land use changes, and fire management effectiveness. Understanding fire patterns aids in developing proactive strategies for fire prevention, land conservation, and biodiversity preservation. 🚀 Join the Conversation: How can remote sensing data contribute to better fire management practices? Let's ignite discussions on environmental monitoring and leverage technology for a more sustainable future! Share your thoughts in the comments below. #EarthObservation #RemoteSensing #EnvironmentalMonitoring #FireManagement #GIS #MapBiomas #GoogleEarthEngine