ARC Training Centre in Data Analytics for Resources & Environments (DARE)’s Post

"Ever wondered how scientists monitor changes in land health over time? 🌱 Let's start with a simple question: What exactly is NDVI and why is it crucial for understanding our planet's ecosystems? 🌍 NDVI, or Normalized Difference Vegetation Index, measures the density and health of vegetation based on satellite imagery. It's a powerful tool for assessing environmental changes, from deforestation to drought resilience. Now, imagine harnessing this technology in real-time with just a few clicks! 🚀 while exploring Google Earth Engine a cloud based platform for GIS that effortlessly generates NDVI time series graphs for any area of interest. 📈 Whether you're tracking crop growth, monitoring reforestation efforts, or studying urban green spaces, NDVI provides invaluable insights at your fingertips. 🌿 Excited to share more about its potential impact on land management and conservation! #NDVI #RemoteSensing #EarthObservation #LandManagement #Conservation #gismapping #googleearthengine "

The National Science Foundation (NSF) and the Paul G. Allen Family Foundation have announced a $1.2 million grant to the University of Maryland Center for Environmental Science and Appalachian Mountains Joint Venture/American Bird Conservancy! 🐦🎉 The grant will fund a project designed to answer one of the most pressing problems in bird conservation science: 𝗛𝗼𝘄 𝗮𝗻𝗱 𝘄𝗵𝗲𝗿𝗲 𝗰𝗮𝗻 𝗳𝗼𝗿𝗲𝘀𝘁 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗶𝗺𝗽𝗿𝗼𝘃𝗲 𝗵𝗮𝗯𝗶𝘁𝗮𝘁 𝗰𝗼𝗻𝗱𝗶𝘁𝗶𝗼𝗻𝘀 𝗳𝗼𝗿 𝗯𝗶𝗿𝗱 𝘀𝗽𝗲𝗰𝗶𝗲𝘀 𝘁𝗵𝗮𝘁 𝘂𝘀𝗲 𝘁𝗵𝗲 𝘀𝗮𝗺𝗲 𝗮𝗿𝗲𝗮𝘀 𝘁𝗵𝗿𝗼𝘂𝗴𝗵𝗼𝘂𝘁 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 𝘀𝘁𝗮𝗴𝗲𝘀 𝗼𝗳 𝘁𝗵𝗲𝗶𝗿 𝗹𝗶𝗳𝗲𝗰𝘆𝗰𝗹𝗲? 🌳 This research will bring together cutting-edge technologies like active remote sensing, meteorological surveillance radar, and machine learning to transform our understanding of the habitat needs of birds. 💻📡 https://bit.ly/3MMNhOS #Birds #Conservation #TechForGood #AppalachianMountains #CeruleanWarbler #HawaiianHoneycreeper #ForestManagement #BirdConservation #ConservationPartnership

Predicting climate change is tough task. Forest and wildlife ecology's Min Chen thinks it's 'more complicated than launching a rocket.' 🚀 But Chen's work combines remote sensing and computer modeling to make climate change prediction more accurate. Learn more in the #Summer2024Grow story at https://lnkd.in/gregNY_T.

Fascinatingly, tree-ring dating techniques can also be applied to fish otoliths, to understand the impact of #climatechange on fish growth. By crossdating otolith growth patterns, Bryan Black, a professor of dendrochronology, unveils precise, decades long fish histories that show responses to climate variability and human influence. Focusing on species like the splitnose rockfish, Black utilizes archived otoliths to extract invaluable #climatedata, facilitating trans-Pacific comparisons to study marine heatwaves and fishing impacts on fish populations. #climatecrisis #naturebasedsolutions #climateaction #sustainability #climatenews

The world-famous climate stripes illuminated the BT Tower last night for #ShowYourStripes day! 👏 University of Reading for making it happen! The National Centre for Atmospheric Science and UK Centre for Ecology & Hydrology (UKCEH) measure #airpollution from the top of the 190m-tall tower in central London. Our latest article explains why we should all be thinking about the air we breathe AND climate change: https://lnkd.in/dbi4Raeu

🌊 Satellite Data Captures Massive Algal Bloom in Lake Pyramid, Nevada 🌍 Recent imagery from #Landsat8 and #Sentinel2 has revealed an ongoing large-scale algal bloom in Lake Pyramid, Nevada. The striking green swirls are captured through satellite imagery, highlighting the growing impact of environmental changes on aquatic ecosystems. Satellite technologies like these play a critical role in tracking and understanding such phenomena to better inform environmental management strategies. [Image credit: CyanoTRACKER] https://lnkd.in/gpNrbDzk #AlgalBloom #SatelliteImaging #EarthObservation #EnvironmentalMonitoring #WaterQuality #Sustainability #RemoteSensing #ClimateChange

📰 Excited to share our research on "Benthic Habitat Mapping using Sentinel 2A: A Preliminary Study in Image Classification Approach in Absence of Training Data" published in IOP Conference Series: Earth and Environmental Science! 🌊 Benthic habitats, essential for marine biodiversity, are often difficult and costly to map using traditional methods. 🛰️ Our study explores using Sentinel-2A satellite imagery to classify benthic habitats without ground-truth data, offering a cost-effective solution. 🔬 We applied unsupervised classification methods like IsoData and K-means, correcting for atmospheric and water column distortions. 🗺️ Results: We identified four habitat classes—hard coral, hard coral-algae, sand, and seagrass—with overall accuracy of 55.64% for K-means and 47.98% for IsoData. 📊 IsoData showed slightly better Kappa accuracy (0.39) compared to K-means (0.30), highlighting potential for improvement in unsupervised methods. 🌍 This research provides valuable insights for cost-effective coastal management and conservation, especially in areas where collecting ground-truth data is challenging. 📚 For detailed methodologies and comprehensive results, check out the full paper:  https://lnkd.in/gkyZYkzU 🚀 Join us in exploring innovative solutions to environmental challenges and advancing the field of remote sensing! Feel free to share and discuss! 🌟 #BenthicHabitat #RemoteSensing #EnvironmentalScience #Sentinel2

How do we measure the health of our land?

🌍 Day 4 of the #30DayMapChallenge: Hexagons! 🐝 Today, I explored the power of hexagonal grids to visualize bee occurrence data. By stepping away from traditional square grids, I was able to reveal density and spatial patterns in a more effective way. The hexagonal shape beautifully mirrors the structure of honeycomb, emphasizing the vital role bees play in our ecosystems. Bees are not just essential pollinators; they are indicators of ecological health. As climate change continues to disrupt habitats and alter weather patterns, understanding the distribution of bee populations becomes increasingly critical. This data helps us assess how shifting climate conditions impact these vital species and, consequently, our agricultural systems and food security. The dataset I utilized, published by the USDA-ARS Pollinating Insect-Biology, Management, and Systematics Research, contains 561,820 occurrences of various bee species, making it an invaluable resource for climate and ecological studies. 📊 Data Reference: Ikerd H (2019). Bee Biology and Systematics Laboratory. USDA-ARS Pollinating Insect-Biology, Management, Systematics Research. Occurrence dataset https://lnkd.in/g9n4UQ7e accessed via GBIF.org on 2024-11-04. Let’s work together to protect our pollinators and the environments they thrive in! #GeospatialAnalysis #ClimateChange #Pollinators #DataVisualization #EcosystemHealth #GIS #RemoteSensing

I am Excited to share our latest publication on vegetation phenology estimation using satellite imagery! The paper introduces a novel approach to characterize the annual phenological cycle of vegetation in response to climatic constraints. leveraging multi-annual satellite-derived vegetation indices to estimate phenology curves at the pixel level. Our findings contribute to a better understanding of vegetation dynamics and their response to climate variability, crucial for ecosystem management and conservation efforts. Read the full paper here https://lnkd.in/e3urYdSh #datascience #VegetationPhenology #SatelliteImagery #EcosystemManagement #ClimateChange #ResearchPublication