Greenery & Forestry Data | Satellite Data | Forestry, Carbon Emissions, Carbon Storage, Vegetation, Tree Cover Density Data

Tree Cover Density (TCD) measures the percentage of tree canopy coverage over land, captured via satellite imagery. TCD provides crucial insights into the distribution and density of trees, offering a detailed view of natural and urban landscapes. This data is essential for understanding and monitoring the health and expansion of forests, urban green spaces, and other vegetated areas, supporting sustainability and environmental planning efforts. Carbon Storage measures the amount of CO2 absorbed by vegetation, captured via satellite imagery, providing critical insights into the carbon sequestration potential of natural and urban landscapes. This data is essential for understanding how ecosystems, forests, and urban green spaces contribute to mitigating climate change by storing carbon, helping organizations and governments assess their environmental impact. The Microclimatic Performance Index (MPI) is a specialized analytical layer that evaluates the efficiency of Urban Green Infrastructure (UGI) in mitigating the Urban Heat Island (UHI) effect. This layer offers a comprehensive assessment of how urban vegetation, such as parks and tree canopies, influences cooling in densely built environments. By integrating multiple datasets—such as Tree Cover Density (TCD), land cover classifications, and data related to evapotranspiration, albedo, and shading—MPI quantifies the cooling potential of urban green spaces. This index is crucial for urban planners, environmental researchers, and decision-makers who aim to design more climate-resilient cities. The 3-30-300 Greenery Analysis Layer is a comprehensive dataset designed to evaluate urban green spaces and their contribution to urban livability. This layer examines three key aspects: the presence of greenery within 3 meters of a given point, the percentage of green space within a 30-meter radius, and the accessibility of large public parks within 300 meters of residential buildings. By combining satellite imagery, spatial analysis techniques, and land cover data, this layer provides urban planners, real estate developers, and public health researchers with crucial insights into the quality and distribution of urban green spaces. Primary Use-Cases for Latitudo 40's Greenery &Forestry Data: Urban Planning & Sustainability: Utilize data to assess green infrastructure, plan reforestation efforts, and mitigate urban heat island effects, promoting more sustainable urban development. Environmental Conservation: Monitor deforestation, habitat loss, and forest health. Use satellite insights to track reforestation projects and their impact on ecosystems and carbon sequestration. Public Health: Identify areas vulnerable to heatwaves and poor air quality. Prioritize interventions, such as enhancing green spaces, to improve public health outcomes and reduce heat-related illnesses. Climate Resilience: Integrate data on temperature, heat islands, and heatwave risks into climate adaptation strategies to build resilient urban environments that withstand extreme weather events. Agriculture & Land Management: Analyze forest and vegetation cover to optimize land use, monitor crop productivity, and support sustainable agricultural practices while maintaining soil health. Real Estate & Infrastructure: Use greenery and climate data to assess the value of real estate and infrastructure stability. Incorporate these insights into development plans that optimize environmental sustainability. Urban Heat Mitigation: Leverage heatwave risk and heat island data to guide urban planners in prioritizing cooling strategies, such as tree planting and green roofing, to reduce surface temperatures. Biodiversity Protection: Analyze urban and forest landscapes to support biodiversity conservation efforts by identifying areas where natural habitats need protection or restoration. Climate Research & Forecasting: Provide data for long-term studies on global warming, ecosystem changes, and carbon storage potential, aiding researchers in predicting environmental shifts. Energy & Infrastructure: Help cities and organizations forecast energy demands in heat-prone areas and guide decisions on sustainable infrastructure to mitigate temperature-driven degradation. All of these data layers are integrated into Latitudo 40’s EarthDataPlace (EDP) platform. EDP provides a user-friendly interface to access and analyze high-resolution geospatial data tailored for urban planning, environmental monitoring, and climate resilience efforts. Through EDP, users can easily search, purchase, and download the datasets they need to make informed decisions. The platform offers comprehensive, actionable insights that enable planners, researchers, and governments to tackle pressing environmental challenges and enhance urban sustainability.