Geographic Information Sciences Commons^™

Climate Change In Gilgit-Baltistan: Satellite-Based Land Use/Land Cover Change Detection, Socio-Economic Dimensions, And Adaptation Strategies, Ali Muhammad

Graduate Theses/Dissertations

Climate change is increasingly transforming the cryosphere, hydrology, and human landscape of Gilgit-Baltistan, a highly climate-sensitive mountain region in northern Pakistan. This thesis investigates these transformations through satellite-based land use/land cover (LULC) change detection in four representative tehsils of Gilgit-Baltistan—Ali Abad, Gilgit, Nagar, and Sikander Abad—selected to span a gradient of human pressure and cryospheric exposure within the region. Using summer, cloud-free (< 10%) imagery from USGS Landsat 7 (2000) and Landsat 8 (2025), it conducts a multi-temporal comparison of environmental and socio-spatial change. After atmospheric correction and band compositing, the imagery is classified in ArcGIS Pro into six classes—Water, Barren land, Vegetation, Snow, Glacier, and Built-up—using a Support Vector Machine (SVM) classifier, with Maximum Likelihood Classification and Random Forest also tested but found less suitable for the final workflow. The analysis detects a pronounced reduction in mapped glacier-class area alongside a comparatively stable snow class, together with built-up expansion, while examining how temperature, precipitation, tourism, and population dynamics relate to observed LULC transitions. The results reveal a pattern of cryospheric decline and urban growth, with implications for water availability, ecological stability, hazard exposure, and settlement pressure. By integrating geospatial change detection with climatic and socio-economic interpretation, the thesis moves beyond mapping to explain interacting environmental and human drivers of landscape transformation and provides a reproducible remote-sensing baseline for monitoring land-surface change in heterogeneous mountainous terrain. It recommends integrated water-resource management, climate-resilient land-use planning, watershed and glacier monitoring, and sustainable tourism governance, supporting evidence-based decision-making by the Government of Gilgit-Baltistan and organizations working on climate adaptation, disaster risk reduction, and sustainable regional development.

Gis Is A Tool, Not The Story: The Journey Towards An Ethnographically Informed Gis Analysis Of Frenchman Coulee, Eastern Washington, Joseph T. Gambino

All Master's Theses

Geographic Information Systems (GIS) have seen increased use in ethnographic and archaeological studies over the last several decades. Though revolutionary in their ability to predict and document sites of archaeological or cultural significance, they remain limited in their capacity to communicate the full extent of potential values certain geographies offer to both cultural specialists and their communities. These limitations are amplified when attempting to represent how the landscape is experienced within GIS’s statistical framework. In this manuscript I present different approaches to GIS modeling that attempt to identify some of the advantages Frenchman Coulee could have offered to the Indigenous …

Mapping Historical Neighborhoods With Geospatial Viewshed Buffers, James B. Townsend

Dissertations, Master's Theses and Master's Reports

The concept of neighborhood has been long studied with little agreement beyond the notion that neighborhoods are somewhat self-contained areas within a wider urban environment. Despite the lack of a finite definition, there is wide agreement of the importance of studying population dynamics at the neighborhood scale. Many attempts have been made to spatially define, measure, and quantify contemporary neighborhoods, but less attention has been given to methods to spatially define historical neighborhoods. In this paper, we utilize a historical spatial data infrastructure for the city of London, Ontario to develop a viewshed methodology that recognizes that ‘neighborhood’ is unique …

A Proposed Conceptual Framework For Assessing Quality Of Life In The United Arab Emirates: Application To Ras Al Khaimah Emirate, Aaesha Saif Al Shehhi

Dissertations

Quality of Life (QoL) has become a central concern in urban planning and sustainable development, particularly in rapidly transforming contexts such as the United Arab Emirates. This dissertation proposes and empirically validates a comprehensive framework for assessing urban QoL, with a focused application to the Emirate of Ras Al Khaimah. A mixed-methods approach integrates objective indicators and residents' subjective perceptions, aligned with national strategies including UAE Vision 2030, the National Strategy for Wellbeing 2031, and UAE Centennial 2071.

The methodology combines Geographic Information Systems (GIS), the Analytic Hierarchy Process (AHP), and statistical analyses to evaluate seven key sectors: environment, infrastructure …

High-Resolution Mapping Of Soil Moisture Variation Using Uas Thermal And Multispectral Imagery, Jackline Amma Timah

Theses and Dissertations

In agricultural landscapes, soil moisture regulates hydrologic partitioning, nutrient transport and water quality, land-atmosphere energy exchange that shapes local climate, and ecosystem resilience. However, traditional monitoring approaches, such as in-situ sensors and satellite imagery, often lack the spatial resolution required to capture fine-scale soil moisture variability. This study evaluated whether unmanned aerial system (UAS)-derived thermal, multispectral, and terrain variables can capture fine-scale spatial variability in volumetric water content (VWC) within an SRB in central Illinois.

High-resolution imagery was collected and paired with 50 field-measured VWC observations. Land surface temperature (LST), vegetation indices (NDVI and NDRE), spectral bands, and slope were …

Modeling Bald Eagle Habitat Suitability In The Del Rio Springs Ecosystem Using Lidar And Spatial Analysis, Noah Morales, Hank Vincent, Ronny Schroeder

Student Works

This study expands upon prior research that utilized NDVI-based hotspot analysis from UAS and satellite imagery (Morales et al. 2026) to identify potential bald eagle nesting and foraging areas. While NDVI effectively captures vegetation density, it does not distinguish between vegetation types or landscape structural characteristics necessary for nesting. To address this limitation, this research integrates LiDAR-derived canopy height, terrain slope, and proximity to stream networks to develop a more refined habitat suitability model within the Del Rio Springs ecosystem.

Airborne LiDAR data were used to generate Digital Surface Models (DSM) and Digital Elevation Models (DEM), which were employed to …

Validating Uas Lidar With Airborne Lidar For Precision Streamline Generation In Del Rio Springs, Arizona, Brad Rudy, Colton Weeks, Hank Vincent, Ronny Schroeder

Student Works

Accurate streamline delineation and high-resolution topographic products are essential across numerous disciplines, including hydrological analysis, environmental monitoring, construction, and erosion modeling. Products derived from high-accuracy elevation data provide greater reliability and improved decision-making outcomes for all fields that depend on them. A 2018 USGS airborne LiDAR dataset covering the Del Rio Springs riparian area north of Chino Valley, Arizona, offers a valuable opportunity to evaluate the relative accuracy of the DJI L1 LiDAR sensor when mounted on a Matrice 300 RTK UAV platform. Compared to traditional manned airborne systems, the UAV-mounted L1 provides high-accuracy, high-density point cloud data over small …

Geospatial Analysis Of Wildfire Ignitions And Proximity To Electric Transmission Lines In Arizona’S National Forests, Shane Ishmael, Ronny Schroeder

Student Works

The number of wildfires in Arizona rose by 18% from 2023 to 2024. Wildfires hit the Western United States hard, especially in states like Arizona and California, where vast national forests often fall victim to the biggest blazes. According to the Western Fire Chiefs Association, 19% of wildfires from 2016 to 2020 were sparked by electrical transmission lines.

This study explores whether wildfire start-location hotspots line up with power transmission routes running through Arizona’s Coconino and Tonto National Forests. The main hypothesis is that areas near power lines are more likely to become wildfire hotspots than other regions.

We used …

Mapping Climate Risks & Building Resilience: A Participatory Approach To Harvester Safety In Kakisa, Nwt., Susan Kerubo Ombwori

Theses and Dissertations (Comprehensive)

The Ka’a’gee Tu First Nation (KTFN) community in the Northwest Territories is experiencing rapid environmental changes which are driven by climate change. These changes are threatening the community’s food security. The community is seeing a disruption to its traditional land-based food systems due to increasing climate risks such as unpredictable weather, thawing permafrost, wildfires, and flooding. These changes are reducing access to traditional foods and intensifying threats to harvester safety. Building on the existing relationship with the community through previous projects, this thesis examines the impacts of climate risks on the availability and access of the KTFN’s on the land …

Enhancing Coastal Vulnerability Assessments And Policy Impacts On Socioeconomic And Environmental Equity In Michigan's Great Lakes Communities, Esther N. Acheampong

Dissertations, Master's Theses and Master's Reports

Accelerating shoreline erosion, fluctuating lake levels, and climate-induced hazards are transforming the Great Lakes’ freshwater coasts, exposing the limitations of static and inequitable management frameworks. This dissertation investigates how Michigan’s coastal governance systems produce and manage vulnerability along the Lake Michigan shoreline by integrating geospatial modeling, institutional policy analysis, and environmental justice theory. It argues that both physical processes and institutional designs co-determine patterns of exposure, protection, and equity. The research begins by developing a refined Coastal Vulnerability Index (CVI) tailored for lacustrine environments, applying it to Muskegon County to assess how shoreline change, armoring, and seasonality influence localized risk. …