GIS and Remote Sensing Mapping and Analysis

  Identification of Solar Potential with the Raster Solar Radiation Tool in ArcGIS Pro As the demand for renewable energy grows, understanding solar potential at a localized level has become crucial. In urban planning, energy management, and sustainable infrastructure development, Geographic Information Systems (GIS) play a vital role in assessing solar energy potential. ArcGIS Pro offers a powerful tool the Raster Solar Radiation Tool which enables users to analyze the solar energy potential of rooftops and determine the optimal placement of solar panels.   What is the Raster Solar Radiation Tool? The Raster Solar Radiation Tool in ArcGIS Pro calculates the amount of solar radiation a surface receives over a given period. This tool considers multiple factors, including the angle of the sun, atmospheric conditions, terrain effects, and shading from nearby objects such as buildings and trees. By analyzing these parameters, the tool provides detailed insights into the best locat...

  Landslide Risk potential Mapping after wildfires Wildfires make the landscape more susceptible to landslides when rainstorms pass through an area after wildfires. Post-fire debris flows are particularly hazardous because they can occur with little warning, can exert great impulsive loads on objects in their paths, and can strip vegetation, block drainage ways, damage structures, and endanger human life. Often there is not enough time between a fire and a rainstorm to implement an effective emergency response plan. However, various post-fire debris-flow hazard assessment models have been developed to estimate the probability and volume of debris flows that may occur in response to a storm.   We can use of ArcGIS Pro to create a landslide risk map after wildfire. Through the use of Raster function chain in ArcGIS Pro we can derive a burn severity map, topographic slope map, and a land-cover index map. With the help of Weighted overly function can integrate the all these ma...

  Mapping Air Pollution Sampling Points with ArcGIS Pro Air pollution is a critical environmental concern impacting public health and ecosystems. Mapping air pollution sampling points helps visualize pollution patterns, identify hotspots, and inform decision-making for mitigation strategies. ArcGIS Pro, a powerful GIS software, offers comprehensive tools for creating and analyzing air quality maps.

  Hot-spot analysis of median income using census block-group-level data and Getis-Ord Gi* statistic  (ArcGIS Pro) The Getis-Ord hot spot analysis shows where high and low values are clustered. The tool compares the values of each feature with the neighboring features within a user specified distance. The values for each feature are then color coded to show high and low value clusters. The Gi statistic, also called Gi*, used both the location and the value in the pattern calculations. This is used to see the effect of the value field on the clustering over the user specified distance. The distance is determined by the characteristics of the input dataset. Features representing large, wide groupings may use a larger distance band value, while features representing a local region or smaller feature areas might use a small distance band value. With a larger value, expect to get a few large clusters. A smaller distance value may result in more numerous, smaller clusters.

  Exploring Air Pollution with Geographically Weighted Regression (GWR) Air pollution, particularly fine particulate matter (PM 2.5), poses significant health risks worldwide. However, accurately assessing PM₂.₅ exposure is often challenging due to the sparse and uneven distribution of ground-based air quality monitoring stations. Many regions lack sufficient monitoring infrastructure, creating data gaps that hinder effective environmental and public health decision-making. To address this limitation, researchers have explored the use of satellite remote sensing data, particularly Aerosol Optical Depth (AOD), as a proxy for PM 2.5 concentrations. AOD measures the scattering and absorption of sunlight by airborne particles and has shown promising correlations with PM2.5 in certain land regions. By integrating satellite-derived AOD with ground-based PM₂.₅ measurements, we can enhance spatial coverage and improve air pollution assessments. Using Geographically Weighted Regressio...

  A watershed, also known as a drainage basin, is an area of land where all precipitation collects and drains into a common water body, such as a river, lake, or ocean. Watersheds vary in size, from small local basins to vast river catchments that span multiple regions or countries. Understanding watersheds is crucial for managing water resources efficiently.   Watershed Mapping: A Crucial Tool for Sustainable Water Management   Water is one of the most vital resources on Earth, supporting ecosystems, agriculture, and human settlements. Effective water management is essential to maintain its availability and quality. One of the most important tools in hydrology and environmental planning is watershed mapping. This technique helps in understanding how water flows across landscapes, how different land-use patterns impact water resources, and how to mitigate environmental challenges such as erosion, flooding, and pollution.   The Role of Watershed Mapping  ...

  Using Band Arithmetic Raster Function in ArcGIS Pro for Vegetation Analysis   Remote sensing has revolutionized environmental analysis, allowing professionals to assess vegetation health, land cover changes, and other critical ecological parameters. One of the powerful tools available in ArcGIS Pro for processing satellite imagery is the Band Arithmetic raster function. This function enables us to perform mathematical operations on different spectral bands, providing essential indices like the Normalized Difference Vegetation Index (NDVI) for vegetation health assessment.   Why Use Band Arithmetic?   The Band Arithmetic raster function allows us to quickly apply algebraic calculations to raster data, streamlining the process of extracting meaningful information from satellite imagery. This function is particularly useful for computing indices like NDVI, which highlights vegetation vigor based on the difference between near-infrared (NIR) and red spectral band...

  Landscapes in Motion: The Power of Remote Sensing in Land Use/Cover Mapping"   Landscapes are constantly evolving due to natural and human-induced changes. From urban expansion to deforestation, agricultural intensification, and climate-driven shifts, these transformations leave lasting impacts on ecosystems and societies. One of the most effective ways to monitor these changes is through Land Use and Land Cover (LULC) mapping, which utilizes satellite imagery and geospatial analysis to visualize how the Earth's surface has transformed over time.   Why Does LULC Change Matter? LULC change analysis plays a critical role in understanding environmental dynamics, policy-making, and sustainable resource management. Some key applications include:        ·          Forest Conservation: Monitoring deforestation and afforestation trends.        ·     ...