Landscape Design Visualizations

🌊🔍Exploring Flood Impact Analysis and Visualization with ArcGIS Pro🌍✨   Flooding is one of the most devastating natural disasters, exacerbated by climate change, impacting communities, economies, and environments. With the power of ArcGIS Pro, we can conduct comprehensive flood impact analyses and create stunning visualizations that help us understand and mitigate these risks. "... visible danger is the best argument for prevention - this also applies in digital worlds ..." 🌡️ Climate Change and Flooding: Climate change is leading to increased rainfall (in some areas to decreased as well), rising sea levels, and more frequent extreme weather events, resulting in heightened flood risks. Understanding these changes is crucial for effective planning and response. 📈 Key Benefits of Using ArcGIS Pro for Flood Analysis: 1️⃣ Data Integration: Combine various datasets, including elevation, land use, climate models, and historical flood events, to create a robust analysis. 2️⃣ 3D Visualization: Utilize 3D capabilities to visualize flood extents and impacts on infrastructure and communities, considering future climate scenarios. 3️⃣ Scenario Modeling: Simulate different flood scenarios under varying climate conditions to assess potential impacts and plan effective responses. 4️⃣ Hydrological Analysis Tools: Use tools like the Hydrology toolset to analyze watershed dynamics and flood risk. 5️⃣ Remote Sensing: Leverage satellite imagery and remote sensing data to monitor changes in land cover and water bodies due to climate change. 6️⃣ Community Engagement: Share interactive maps and visualizations with stakeholders to raise awareness and drive action. By leveraging these tools, we can enhance our preparedness and response strategies, ultimately saving lives and reducing economic losses. 💪🌈 🤝 Let's spark a conversation! How are you leveraging ArcGIS for flood Analysis? Share your insights, challenges, and success stories below. Let's amplify our collective GIS capabilities! 💬💡 💡 🌟 #FloodAnalysis #ClimateChange #DataVisualization #Resilience #FloodManagement #ArcGISPro #RiskMitigation #Esri #GIS #SpatialAnalysis #ArcGIS #flood #climatechange #FloodManagement #DisasterResponse #UrbanPlanning #Sustainability #ClimateChangeAdaption #EsriDeutschland #ArcGISPro #esrivoices🔍 🚀 🌱

🌍 10 Ways to Bring Your Data to Life with 3D Maps Maps are no longer just flat visuals. With the right tools and data, you can create 3D maps that turn complex datasets into captivating stories. Whether you're visualizing population density, environmental changes, or urban landscapes, 3D maps can transform how we understand the world. In my tutorials on Milos Makes Maps, I’ve explored how to create stunning 3D visualizations using open data and tools like rayshader in R. Here are 10 types of 3D maps you can create, the data sources you’ll need, and tutorials to get started: 1. Land Cover in 3D 🌍 Visualize global land cover using Sentinel-2 data from the Esri Living Atlas. Explore how urban, agricultural, and natural areas coexist. 📽️ Tutorial: https://lnkd.in/eS_bJJps 2. Population Density Spikes 📊 Map human settlement patterns with spikes representing population density using WorldPop datasets. Perfect for urban planning and demographic analysis. 📽️ Tutorial: https://lnkd.in/efatx47P 3. Forest Cover 🌲 Showcase the expanse (or decline) of forests using datasets like Copernicus Global Land Service. A powerful tool for environmental monitoring. 📽️ Tutorial: https://lnkd.in/eAUfHjbw 4. Air Pollution Heatmaps 🌫️ Use air quality index (AQI) data to create heatmaps that visualize pollution levels in 3D. Great for public health and climate research. 📽️ Tutorial: https://lnkd.in/e_4TPPBi 5. Precipitation Intensity 🌧️ Visualize rainfall and precipitation patterns using MSWEP data. See how weather varies across regions in stunning 3D detail. 📽️ Tutorial: https://lnkd.in/etSU_2bj 6. Building Height Models 🏙️ Recreate cityscapes in 3D using Google Openbuilding data. Ideal for urban planners and architects. 📽️ Tutorial: https://lnkd.in/efpyp7vv 7. River Basins 💧 Explore hydrological systems by mapping HydroSHEDS river basins in 3D. Perfect for water resource management and hydrology studies. 📽️ Tutorial: https://lnkd.in/ejnckbrg 8. Interactive Maps of Fire Events 🔥 Map wildfire locations and intensity in near real-time using NASA FIRMS data. A crucial tool for disaster management and environmental monitoring. 📽️ Tutorial: https://lnkd.in/eSRS27VM 9. Earthquake Intensity 🌍 Visualize earthquake events in 3D using data from USGS Earthquake Catalog. Showcase magnitude and depth in an intuitive format. 📽️ Tutorial: https://lnkd.in/efMWszzH 10. Tree Canopy Height 🌳 Create 3D tree canopy height maps using ETH Global Canopy Height dataset. A great tool for forestry management and biodiversity research. 📽️ Tutorial: https://lnkd.in/eaYTtgUy Why Should You Create 3D Maps? 3D maps go beyond static visuals—they immerse viewers in the data, making insights clearer and more impactful. Which type of map would you create first? Let’s discuss in the comments! #GIS #3DMapping #DataVisualization #Rayshader #MappingTutorials #OpenData #Cartography

🌎 Seeing the Invisible... NASA - National Aeronautics and Space Administration's state-of-the-art visualization, leveraging the Goddard Earth Observing System Composition Forecasting (GEOS-CF) system, brilliantly illustrates the movement and concentration of critical air pollutants: 🔹 Particulate Matter (PM2.5) 🔹 Ozone (O₃) 🔹 Carbon Monoxide (CO) 🔹 Nitrogen Oxides (NOₓ) Monitoring these pollutants is crucial due to their profound impact on human health and the environment. Exposure to these air pollutants is linked to severe respiratory diseases, cardiovascular issues, and increased mortality rates. PM2.5, in particular, can penetrate deeply into the lungs and even enter the bloodstream, exacerbating conditions such as asthma and heart disease. Globally, this groundbreaking data supports: ✅ Improved local air quality predictions ✅ Enhanced understanding of health impacts from pollution ✅ Increased accuracy and reliability of satellite datasets By visualizing air pollution in real-time, we can better target interventions, shape informed policies, and safeguard public health, ultimately protecting vulnerable populations and promoting healthier communities. #NASA #AirQuality #SatelliteData #Sustainability #PublicHealth #ClimateScience

LiDAR vs. Photogrammetry: Which One Should You Use? In the world of geospatial mapping and remote sensing, LiDAR (Light Detection and Ranging) and Photogrammetry are two powerful technologies used to create accurate 3D models of the Earth's surface. While they both serve similar purposes, they differ significantly in method, application, and suitability for specific projects. 📡 LiDAR: Precision in Every Pulse LiDAR uses laser pulses emitted from a drone, aircraft, or tripod scanner to measure distances to the ground or objects. It produces a dense point cloud that accurately represents terrain, even beneath vegetation cover. 🔹 Best used for: 1. Dense forest mapping (penetrates canopy) 2. Power line and infrastructure modeling 3. Floodplain analysis 4. Mining and construction volume calculations 5. Bare earth modeling ✅ Advantages: 1. Accurate elevation data even under vegetation 2. Works in low light or night 3. High precision in vertical measurements 📷 Photogrammetry: Turning Photos into 3D Models Photogrammetry involves capturing overlapping images from drones or planes and processing them into 3D models using software. It relies on visual texture and features in the imagery. 🔹 Best used for: 1. Urban mapping 2. Visual 3D models (e.g., buildings, roads) 3. Orthomosaic map production 4. Site inspections and asset monitoring ✅ Advantages: 1. Cost-effective for large areas 2. Provides true-color and high-resolution imagery 3. Great for visual analysis and presentations 🔍 Choosing Between LiDAR and Photogrammetry When deciding which method to use, consider the following: 1. Terrain Type: Dense vegetation? Go for LiDAR. Open or urban areas? Photogrammetry might suffice. 2. Project Goals: Need precise elevation models or volumetrics? LiDAR is better. Need high-res imagery? Photogrammetry wins. 3. Budget: LiDAR is typically more expensive due to equipment and processing needs. 4. Time and Weather: LiDAR can operate in poor lighting; photogrammetry needs good lighting and visibility. 5. Output Requirements: For engineering-grade accuracy, LiDAR often outperforms photogrammetry. 💡 Conclusion: There’s no one-size-fits-all. The best tool depends on your project objectives, budget, and terrain. In some cases, combining both technologies yields the most comprehensive results.

Scanning above and below ground whilst creating advanced 3D models at Highways UK. I caught up with James Tindall from Castle Surveys Ltd to talk about its real showstopper. Their fully wrapped mobile mapping unit, equipped with Leica Geosystems part of Hexagon mobile mapping and ground penetrating radar solutions. James: “Our TRK mobile mapping system captures data at highway speeds, up to 70 miles an hour, making it perfect for topographical surveys, asset management, vegetation encroachment, and pavement analysis. "In conjunction with the Stream UP ground penetrating radar, we’re now able to capture above and below ground utility information simultaneously.” What’s equally important is what happens next, the processing. For that, Castle Surveys has chosen TopoDOT, as James explained: “We wanted a solution that could give us everything we needed, with no compromise. TopoDOT lets us extract, assess and verify our data in one place. It’s the reassurance that what we hand over to clients is completely accurate.” To find out more, I spoke with Filipe Pinto from TopoDOT, who explained how their software turns raw data into actionable insights. “TopoDOT empowers any LiDAR user from mobile mapping to UAV and static scanning to transform complex point clouds into vector data for decision-making. "Users can extract features like kerbs, signage, and pavement condition, calculate volumes, assess bridge clearances, and even identify potholes automatically.” And it doesn’t stop there. Filipe added: “Our collaboration platform means clients don’t need CAD or GIS software. They can view and query LiDAR derived data through a simple web link, making it accessible to designers, engineers and maintenance teams alike.” It’s great to see how Leica Geosystems cutting-edge capture technology, Castle Surveys’ surveying expertise, and TopoDOT’s powerful processing tools have come together at Highways UK. And we look forward to visiting the Castle Surveys team to learn how they put everything together. #surveying #highwaysUK #highways #mobilemapping #infrastructure #pointclouds 

Here’s a detailed overview of land surveying, covering what it is, why it’s important, the methods used, and the tools involved: ⸻ What is Land Surveying? Land surveying is the science and technique of measuring and mapping the environment using mathematics, specialized technology, and equipment. It determines the three-dimensional positions of points and the distances and angles between them, often to define property boundaries or prepare for construction. ⸻ Why Is Land Surveying Important? 1. Property Boundaries • Ensures legal ownership and avoids land disputes. • Used in real estate transactions and land registration. 2. Construction and Engineering • Provides precise ground data for building roads, bridges, buildings, and other infrastructure. 3. Mapping and Planning • Forms the base for topographic, cadastral (property), and hydrographic maps. 4. Legal Documentation • Survey data is often used in courts for resolving land ownership conflicts. 5. Environmental and Land Development • Supports zoning, land use planning, and environmental monitoring. ⸻ Types of Land Surveys 1. Boundary Survey – Identifies the corners and boundary lines of a property. 2. Topographic Survey – Shows the natural and man-made features of the land. 3. Cadastral Survey – Defines land ownership and subdivision. 4. Construction Survey – Guides construction projects with precise layouts. 5. Geodetic Survey – Measures large areas, accounting for Earth’s curvature. 6. Hydrographic Survey – Maps underwater terrain. ⸻ Common Surveying Tools and Technology Tool Use Theodolite Measures horizontal and vertical angles Total Station Combines angle measurement and distance data GPS (GNSS) Provides precise global location data Leveling Instrument Measures height differences Measuring Wheel/Tape Basic linear measurements Drones (UAVs) Capture aerial images and terrain data LiDAR Uses lasers to create high-resolution 3D maps ⸻ Modern Surveying Techniques • GPS Surveying: Uses satellite data to determine locations with sub-meter or even centimeter accuracy. • 3D Laser Scanning: Creates digital models of terrain and structures. • Photogrammetry: Extracts measurements from photographs. • GIS Integration: Stores, analyzes, and visualizes spatial data. ⸻ Who Are Surveyors? Land surveyors are trained professionals who: • Analyze legal documents (deeds, plats) • Use specialized tools for measurements • Produce maps, charts, and legal descriptions • Often hold certifications or licenses (varies by country) ⸻ #Landsurveying #Surveyorhistory

Designing #Resilient_Landscapes for a #Hotter Future ☀️ Heatwaves are no longer rare events they’re becoming part of daily urban life. As #temperatures rise, cities around the world are turning to resilient landscape strategies that don’t just survive #climate_stress, but actively #cool, #regenerate, and #restore their environments. -Two leading examples are already showing what’s possible: 🌱 #Lyon’s “#Green_Islands” Shaded micro-parks, mist-cooled seating zones, and layered vegetation systems are transforming hard urban surfaces into breathable pockets of comfort. 🌱 #London’s_Crushed_Concrete_Soil Strategy By reusing crushed demolition concrete to create porous, regenerative soil mixes, the city is improving stormwater absorption, tree rooting environments, and long-term resilience all while reducing waste. -Why This Matters for People These strategies aren’t just #ecological they shape #human_experience: ✔ #Cooler_Streets, Better Comfort Tree canopies, porous soils, and mist-cooling reduce surface temperatures, making walking and cycling more pleasant and safer. ✔ #Higher_Walkability & Longer Stay Time Comfortable microclimates encourage people to use public spaces, boosting social interaction and local business activity. ✔ #Better_Air Quality Regenerative soils support healthier root systems, which translate into stronger, more productive urban trees that filter pollutants more effectively. ✔ #Psychological_Relief Green islands introduce natural textures, shade, scent, and softness — reducing stress, improving mood, and creating moments of respite in dense environments. How Cities Can Apply These Solutions Urban resilience doesn’t require radical reinvention just smarter, integrated design: 🏙 1. Replace excess hardscape with “#cooling_pockets” Small plazas, underused corners, and road shoulders can become micro-climate parks. 🏙 2. Use regenerative and recycled soils City-wide soil strategies can repurpose construction waste while boosting root health and permeability. 🏙 3. Prioritise layered planting Shrubs + canopy trees + groundcover systems help create shade, retain moisture, and cool air through evapotranspiration. 🏙 4. Integrate water-sensitive cooling features Mist systems, permeable basins, and swales slow water, shade it, and circulate moisture for natural cooling. 🏙 5. Embed resilience into building edges and streetscapes Shaded arcades, trellises, vertical greenery, and facade planting amplify cooling beyond parks. Cities don’t just need to withstand climate change, they must adapt beautifully. By learning from pioneering examples like Lyon and London, we can design public realms that stay cool, healthy, and deeply human-centered. #ClimateAdaptation #LandscapeResilience #UrbanCooling #SustainableCities #GreenInfrastructure #PublicRealmDesign #UrbanNature #ResilientDesign #streetscape #design #LandscapeSolution

📷 Photogrammetry VS LiDAR: Which Wins in the World of 3D Mapping? When it comes to 3D mapping and spatial data acquisition, two heavyweights battle it out: photogrammetry and LiDAR. Let's break down their strengths and applications to see who comes out on top! 📷 Photogrammetry: Capturing the World with Cameras 📸 Principle: Photogrammetry relies on photographs to create 3D models. 🏞️ Applications: Ideal for mapping landscapes, urban planning, and cultural heritage preservation. 💡 Advantages: Cost-effective, accessible, and can be achieved with standard cameras. 📡 LiDAR: Scanning with Laser Precision 🌐 Principle: LiDAR employs laser beams to measure distances and create detailed 3D point clouds. 🚗 Applications: Perfect for autonomous vehicles, forestry management, and precision agriculture. 🌪️ Advantages: Highly accurate, works in various conditions, and offers real-time data. 🧐 Photogrammetry: If you need cost-effective 3D models for urban planning or historical preservation, photogrammetry is your go-to. 🤖 LiDAR: For tasks requiring high precision and real-time data, like autonomous vehicles or forest analysis, LiDAR shines. 💬 Join the Discussion Are you Team Photogrammetry or Team LiDAR? Share your experiences and insights in the comments. Let's explore how these technologies are shaping the world of 3D mapping together! 🌍📡 Image credit: Emlid, S. Hassan Alavi Data credit for creating image: SurveyTransfer #Photogrammetry#LiDAR #3DMapping #Technology #GIS #SpatialData #Innovation

Technique for Landscape designs that stand the test of time. 🌱 Creating landscape designs that stand the test of time involves careful planning, thoughtful selection of materials, and consideration of long-term maintenance needs. Here are some strategies to achieve timeless landscape designs:- 1. Design with Classic Principles: Incorporate timeless design principles such as balance, proportion, rhythm, and unity. Classic design elements like symmetry and focal points can lend a sense of enduring beauty to the landscape. 2. Use High-Quality Materials: Choose durable materials that withstand weathering and require minimal maintenance. Opt for natural stone, brick, or concrete for hardscape elements like pathways, patios, and retaining walls. Selecting high-quality materials upfront can prevent the need for frequent replacements in the future. 3. Select Long-Lived Plant Species: Choose plant species that have a reputation for longevity and adaptability to the local climate and soil conditions. Native plants are often a good choice because they are well-suited to the environment and typically require less maintenance over time. 4. Plan for Growth: Consider the mature size of plants and trees when designing the landscape to prevent overcrowding and the need for frequent pruning or removals in the future. Leave ample space for plants to grow and mature gracefully over time. 5. Create Flexible Spaces: Design outdoor spaces that are versatile and adaptable to changing needs and preferences. Incorporate elements like movable furniture, flexible seating areas, and multi-functional zones that can evolve with the changing demands of the users. 6. Balance Trends with Timelessness: While it's okay to incorporate current trends and personal preferences into the design, strive for a balance between trendy elements and timeless features. Focus on elements that have enduring appeal and can transition gracefully through different design styles and preferences. 7. Invest in Proper Maintenance: Regular maintenance is essential to preserve the integrity and longevity of the landscape design. Implement a maintenance plan that includes tasks such as pruning, fertilising, irrigation management, and periodic inspections to address any issues promptly. 8. Consider Environmental Sustainability: Incorporate sustainable practices into the landscape design, such as water-efficient irrigation systems, native plantings, and permeable paving materials. Sustainable landscapes are not only environmentally friendly but also tend to have lower maintenance requirements over time. By incorporating these strategies into landscape designs, designers can create outdoor spaces that retain their beauty, functionality, and appeal for years to come, standing the test of time and evolving gracefully with the surrounding environment and users' needs.

Look at this issue with Hi-Res topography. Hi-res topography is great, until you realize it can't represent everything you need it to. For example, it doesn't show underground surface flow paths. I know that sounds like an oxymoron, but there are cases where surface flow is directed underground. Case in point, culverts under roads. This stream network demonstrates how the underlying 1-meter, lidar-derived DEM does a great job of capturing surface topography and routing flow down a road surface. Unfortunately, that road surface does not represent the actual path of surface flow because the lidar sensor can't identify the culverts that pass underneath the road. So, how can you account for culvert locations and get a proper representation of the stream network and flow paths? In the example below, I used a DEM and hillshade to identify culvert locations, then altered the underlying DEM to force flow across the road at those locations. The basic workflow goes like this. 1. Copy the original DEM and create a hillshade 2. Identify culvert locations. 3. Create a line feature at the culvert location from the upstream side of the road to the downstream side (this represents the culvert). 4. Buffer the line features by 2.5 times the horizontal DEM resolution 5. Calculate the minimum elevation inside of each culvert buffer 6. Rasterize the buffers using the minimum elevation to overwrite the DEM copy 7. Fill the new DEM 8. Calculate the stream network (I used GRASS tools) For a detailed demo of how I accomplished this, check out my YouTube channel: https://lnkd.in/gbCiuhqT