3DEO’s Post

Great PBC Today & BIM Today article highlighting how AI and satellites bridge the massive BNG skills shortage, transforming weeks of work into days and enabling ecologists to significantly increase the quantity and quality of their output. According to our own Shashin Mishra, “Developers, planners, architects, and local authorities are all feeling the pressure to deliver BNG at the required scale and speed. Only by adopting practical, modern solutions can this be done. Innovative technologies such as AI and satellites are essential to resolve the issues of speed, scale, and resourcing threatening the success of BNG.” Read the full article: https://lnkd.in/gy4cx48Y #BNGAI | #SatelliteVision | #ClimateImpactAI 

#7 of 2024: Remote sensing-based mangrove blue carbon assessment in the Asia-Pacific: A systematic review -- Dear all, I am happy to share our recent publication in the Science of The Total Environment journal focused on the mangrove blue carbon ecosystems in Asia-Pacific. Herein, we reviewed 105 peer-reviewed articles (1990 - June 2023) to better understand the trends, gaps, and future directions in the field of carbon markets. The major highlights include: - The variation in carbon sequestration potential as a result of mangrove location, species, and forest type was found to be widely studied, although there exists a paucity of studies looking into below-ground mangrove blue carbon and the valuation of carbon stock - The following sensors were found to be most useful/used while estimating mangrove-based blue carbon: Sentinel-2 MSI was the most used dataset (14.5 %), followed by Landsat 8 OLI (11.5 %), ALOS-2 PALSAR-2 (7.3 %), ALOS PALSAR (7.2 %), Landsat 7 ETM+ (6.1 %), Sentinel-1 (6.7 %), Landsat 5 TM (5.5 %), SRTM DEM (5.5 %), and UAV-LiDAR (4.8 %) - The most widely used statistical methodology for carbon modeling was linear regression; nonetheless, machine learning regression models - such as Random Forest (RF) and eXtreme Gradient Boost (XGB) - are also now popular and are showing results with acceptable accuracy - There has been very limited work done in several mangrove rich countries such as Myanmar, Bangladesh, and Papua New Guinea, and future research should focus on these areas to improve global blue carbon estimations and models - Given the big picture importance of blue carbon projects (including the benefits to local communities and biodiversity), voluntary carbon markets and their sustainable long-term implementation, it is critical to enhance the accuracy of blue carbon measurements using remote sensing technologies; this will involve incorporation of standardized/coordinated and innovative remote sensing methodologies, credible forest information collected at multiple scales (e.g., tree-level, stand-level, etc.), actionable data collection strategies and technical monitoring paradigms (which could be done in a frequent basis; UAVs could be helpful here) -- Article link: https://lnkd.in/gSQqT2_8 -- Hope you enjoy the read and please feel free to reach out to me or the first author Abhilash Dutta Roy if you have any questions/comments/collaborative opportunity propositions. We are currently developing projects in the Asia-Pacific and Middle East --- at the intersections of ecosystem restoration, carbon markets, mangroves, remote sensing, biodiversity conservation, disaster management, climate extremities, food security, and ecotourism --- and would love to connect with like-minded researchers and experts. -- Cheers! Mikey #remotesensing #bluecarbon #mangroveconservation #asiapacific #southeastasia #mangrovecarbonmarket #VCM #UAVs #Drones #Satellite #LiDAR

Scaling your environmental assessments? Orbify has the solution. We’re excited to share our recent case study with Frontierra, an innovative Environmental Geospatial Consultancy dedicated to analyzing and addressing nature-related risks, with a particular focus on biodiversity and deforestation. Frontierra faced significant challenges scaling their operations, handling large satellite datasets, and delivering interactive, intuitive insights to clients. They needed a solution that could streamline their workflow, improve data management, and provide real-time, interactive analysis. That’s where Orbify came in. By integrating Orbify’s geospatial platform, Frontierra was able to: • Automate time-consuming tasks and manage large datasets more efficiently • Deliver interactive insights aligned with the Taskforce on Nature-related Financial Disclosures (TNFD) • Empower clients to explore, filter, and visualize data in real-time With Orbify’s scalable solution, Frontierra can now offer their global clients faster, more actionable environmental insights, helping businesses make informed decisions about biodiversity, deforestation, and sustainability. 🚀 Read the full case study: http://orbi.fyi/JyZe #Orbify #GeospatialData #Satellitedata #Frontierra #TNFD

𝗡𝘂𝗿𝘁𝘂𝗿𝗶𝗻𝗴 𝗡𝗮𝘁𝘂𝗿𝗲: 𝗔𝗜-𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗚𝗜𝗦 𝗮𝗻𝗱 𝗘𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗠𝗮𝗽𝗽𝗶𝗻𝗴 𝗶𝗻 𝗔𝘂𝘀𝘁𝗿𝗮𝗹𝗶𝗮 Australia's rich biodiversity and diverse ecosystems provide invaluable services that sustain life, regulate climate, and support human well-being. Ecosystem services mapping, powered by artificial intelligence (AI) within Geographic Information Systems (GIS), plays a pivotal role in understanding, quantifying, and conserving these essential services. In this blog post, we explore the synergies between AI and GIS for ecosystem services mapping, focusing on key services such as carbon sequestration, water purification, and biodiversity conservation in the Australian context. 📗Read full post here on my GIS blog 🔗https://lnkd.in/eG6tQFFq ❤️Subscribe for regular GIS Tips and Articles 🔗https://lnkd.in/gbdfiEkz

Hydrography helps shed light on what is happening below the surface of the #ocean, including providing information on #biodiversity and its change over time. This valuable data also supports the development of the #BlueEconomy. The latest Fugro Planet Beyond podcast discusses an ambitious endeavour to #map seagrass around the coast of Italy – a critical activity considering its vital role in mitigating the impacts of climate change by absorbing CO2 but also in providing a habitat for marine species. ✔ Listen to the podcast to hear what International Hydrographic Organization (IHO) Director John Nyberg, PhD has to say about data standards and how they can support Marine Protected Areas (MPAs). ✔ Marco Filippone, solution director for #OceanScience and #Hydrography at Fugro provides an overview of technology and how efficiency can be improved through an integrated use of the different solutions. ✔ With Giordano Giorgi from the Institute for Environmental Protection and Research (ISPRA). ✔ Presented by Jon Baston-Pitt. https://lnkd.in/dbeeWjc5 #HydrographicData #CoastalMapping #Biodiversity #MarineScience #SeagrassMapping #EnvironmentalData #MarineProtectedAreas #OceanScience #Hydrography #DataStandards #S122 #FugroPodcast #Seagrass #Posidonia #CarbonStorage #MediterraneanSea #IHO #ISPRA #OceanMapping #MarineResearch #DataAccessibility #Collaboration #EnvironmentalProtection #MarineBiodiversity #CoastalConservation

Embracing Smart Technology for Conservation in the Noosa Biosphere 🌿 The Noosa Biosphere Reserve is leading innovation and technology to tackle environmental challenges. As a UNESCO biosphere reserve, our mission is to balance thriving communities with sustainable development and innovative conservation efforts. In Noosa's living laboratory, we’re testing real-world solutions powered by advanced technology to enhance biodiversity and ensure a sustainable future for all. Here’s a closer look at some of the exciting projects in our region making an impact: 🐨 AI-powered drones for Koala detection Partnering with QUT, Noosa & District Landcare is using thermal drones and AI to track local koala populations. The data feeds into a National AI Network, improving accuracy and informing conservation strategies for this iconic species. 🦜 Glossy Black-Cockatoo sound monitoring Bioacoustic recorders are used to track the Glossy Black-Cockatoo’s movements. This technology helps identify feeding and nesting areas, using AI to monitor vast regions without disturbing the birds, contributing to crucial conservation efforts. Bushland Conservation Management 🌾 Keeping Soil in Kin Kin LiDAR technology identifies erosion hotspots and tracks changes in soil elevation. This allows Noosa & District Landcare to remediate erosion hotspots, improving Noosa River's water quality and agricultural productivity across the region. 🦈 Bull Shark tagging We're proud partners in research led by University of the Sunshine Coast tagging bull sharks to monitor their movements and understand their ecology. The data helps inform shark bite mitigation strategies while also improving education for water users about safe practices in our waterways. 🔥 Firetech Connect for Bushfire Resilience Emerging from the 2019 Peregian bushfires, this project powered by Noosa Council's Peregian Digital Hub uses tech like drones and data-driven solutions to build bushfire resilience. It positions Noosa as a leader in bushfire technology innovation. Explore more about these projects in our recent Noosa Today article: https://lnkd.in/g5ZczcFP #NoosaBiosphere #SmartTech

𝗡𝘂𝗿𝘁𝘂𝗿𝗶𝗻𝗴 𝗡𝗮𝘁𝘂𝗿𝗲: 𝗔𝗜-𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗚𝗜𝗦 𝗮𝗻𝗱 𝗘𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗠𝗮𝗽𝗽𝗶𝗻𝗴 𝗶𝗻 𝗔𝘂𝘀𝘁𝗿𝗮𝗹𝗶𝗮 Australia's rich biodiversity and diverse ecosystems provide invaluable services that sustain life, regulate climate, and support human well-being. Ecosystem services mapping, powered by artificial intelligence (AI) within Geographic Information Systems (GIS), plays a pivotal role in understanding, quantifying, and conserving these essential services. In this blog post, we explore the synergies between AI and GIS for ecosystem services mapping, focusing on key services such as carbon sequestration, water purification, and biodiversity conservation in the Australian context. 📗Read full post here on my GIS blog 🔗https://lnkd.in/eb3e4uKa ❤️Subscribe for regular GIS Tips and Articles 🔗https://lnkd.in/gzzHS_Rt

🌳 Revolutionizing Forest Monitoring: Meta & World Resources Institute Launch 1-Meter Global Canopy Height Map with AI Forests are not just trees; they're the lungs of our planet, crucial for biodiversity, climate regulation, and our collective well-being. Yet, there have been critical gaps in our ability to understand and monitor them effectively. Today marks a monumental stride forward as Meta and the World Resources Institute (WRI) unveil an unprecedented solution: a global map of tree canopy height at an astonishing 1-meter resolution, enabling single-tree detection! 🌳 This collaborative, open-source initiative delivers a paradigm shift in forest monitoring: 1. Unprecedented Detail: For the first time, we can accurately map the dynamic ecosystems of agroforestry, drylands, and alpine forests, providing invaluable insights into their structure and health. 2. Carbon Credit Transparency: With high-resolution monitoring and verification capabilities, this map empowers stakeholders to ensure the integrity of forest carbon removal projects, advancing transparency and accountability in climate action. 3. AI-Powered Efficiency: Leveraging state-of-the-art AI models, this groundbreaking tool enables fast, global processing and analysis, revolutionizing the scale and speed of forest monitoring efforts worldwide. This freely available data and model are not just tools; they're catalysts for change. They empower researchers, conservationists, and businesses to: 1. Advance Forest Carbon Accounting: Establishing baselines and tracking progress in restoration efforts with unprecedented accuracy. 2. Increase Climate Action Impact: Facilitating precise carbon credit monitoring and verification, amplifying the effectiveness of climate mitigation strategies. 3. Unlock New Possibilities: The AI model opens doors to a myriad of downstream applications in Earth observation, driving innovation and discovery in environmental science. This initiative represents a significant step towards a future where technology empowers precise forest monitoring and effective climate action.

Why is it so hard to actually measure ecosystem condition with field data? But first, if you are wondering why direct measurement is important... 💡 Ecological survey data are required to verify that potential impacts (e.g. measured with remote sensing or pressure-impact modelling) translate into actual impacts and to ensure maximum level of accuracy. Ecologists regularly collect biodiversity state data and a number of companies of varying sizes are improving measurement approaches such as eDNA, drones, camera traps, eco-acoustics, etc. (see The Biodiversity Footprint Intelligence Company (BioInt)'s overview of their strengths and weaknesses, link in comments). So why is it difficult to measure ecosystem condition, and more specifically composition? Companies measuring the state of nature on their direct operations and supply chains face two main difficulties: 1️⃣ Species occurrence is not enough, abundances are necessary: most approaches can only tell if a species has been spotted, but cannot provide individual counts (i.e. how many individual of each species the ecosystem hosts) 2️⃣ Undisturbed densities are also required, and that raises one very tricky question: what would be the undisturbed habitat in the location assessed? But more practically, it also reveals the lack of databases listing undisturbed densities. I have focused on difficulties but what about solutions? How can ecosystem condition be directly measured in practice? 🔦The AFD case study with the MSA metric A proof of concept was developed using the MSA metric, providing partial solutions to these questions (4 page summary). A standardised protocol to measure ecosystem condition with field data is still lacking though. Read more about the AFD case study and the challenges and uses of measuring ecosystem composition in my newsletter (link in comments). 💬 What do you think about recent publications using eDNA and machine learning to assess ecosystem condition? PS: this a summer repost, hope you are or have been enjoying holidays in contact with nature! I'll be back to new content in September.

𝗡𝘂𝗿𝘁𝘂𝗿𝗶𝗻𝗴 𝗡𝗮𝘁𝘂𝗿𝗲: 𝗔𝗜-𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗚𝗜𝗦 𝗮𝗻𝗱 𝗘𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗠𝗮𝗽𝗽𝗶𝗻𝗴 𝗶𝗻 𝗔𝘂𝘀𝘁𝗿𝗮𝗹𝗶𝗮 Australia's rich biodiversity and diverse ecosystems provide invaluable services that sustain life, regulate climate, and support human well-being. Ecosystem services mapping, powered by artificial intelligence (AI) within Geographic Information Systems (GIS), plays a pivotal role in understanding, quantifying, and conserving these essential services. In this blog post, we explore the synergies between AI and GIS for ecosystem services mapping, focusing on key services such as carbon sequestration, water purification, and biodiversity conservation in the Australian context. 📗Read full post here on my GIS blog 🔗https://lnkd.in/eG6tQFFq ❤️Subscribe for regular GIS Tips and Articles 🔗https://lnkd.in/gbdfiEkz