Remote Sensing Commons^™

Coastal Vulnerability Index Mapping Using Remote Sensing And Gis Techniques: A Comparative Study Of Oaxaca (Mexico) And Bali (Indonesia), Siti Aisyah, Mangapul Parlindungan Tambunan

Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments)

This study aims to conduct a comparative analysis of two journal articles that assess coastal vulnerability using the Coastal Vulnerability Index (CVI), focusing on the State of Oaxaca in Mexico and the Province of Bali in Indonesia. The comparison covers the research context, data inputs, methodological frameworks, findings, and conclusions, while also highlighting the respective strengths and limitations of each study. Both regions applied CVI methodologies to evaluate areas at risk from sea-level rise, utilizing remote sensing data and Geographic Information System (GIS) tools at a regional scale. The outcomes of this research emphasize key parameters that significantly affect coastal …

Relationship Between Vegetation Greenness (Ndvi) And Land Surface Temperature Across Land Cover Types In Ciwidey Sub-Watershed (1990–2020), Syal Syabila, Kuswantoro Marko, Revi Hernina

Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments)

Land cover change significantly influences vegetation greenness and land surface temperature (LST), particularly in upstream watershed regions experiencing rapid development. This study aims to analyze changes in vegetation greenness (NDVI), land surface temperature, and their relationship across different land cover types in the Ciwidey Sub-Watershed, Bandung Regency, during 1990–2020. Landsat 5 TM and Landsat 8 OLI images (Path/Row 122/65) acquired in July 1990, 2005, and 2020 were processed using radiometric correction, supervised classification (Maximum Likelihood), NDVI extraction, and mono-window LST algorithm. Land cover classification accuracy was assessed using confusion matrix analysis. Linear regression was applied to evaluate the relationship between …

Modelling Land Use Land Cover Change In Banyumas Regency Using Remote Sensing Data For Tourism Policy Evaluation, Revi Hernina, Arif Wicaksono, Adi Wibowo, Astrid Damayanti

Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments)

Tourism is essentially a geographical phenomenon, encompassing the movement and flow of people and spatial distribution patterns relating to land use consumption. The impacts of tourism on LUCC must track and monitor regrading effected to environment and human side. For decades, Banyumas Regency has been known for its famous tourist destinations such Baturaden District and numerous waterfalls. However, the development of tourism infrastructures within its vicinity has sparked complaints from communities, particularly damaged roads and decreasing tourist visits. From environmental perspective, excessive tourism development might cause decreasing natural carrying capacity. Therefore, to provide deeper analysis regarding the current tourism development, …

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 …

Spatiotemporal Assessment Of Coastal Urban Heat In Buenos Aires Using Satellite Landsat Lst, Noah Morales, Lleyton Naar, Dan Macchiarella, Kevin Adkins, Ronny Schroeder

Student Works

Coastal urban environments exhibit complex surface temperature patterns driven by interactions among water, vegetation, and built infrastructure. This study investigates land surface temperature (LST) variability along a coastal-to-urban transect in Parque de los Niños, Buenos Aires, by integrating multi-year satellite Landsat LST with high-resolution thermal data collected from an uncrewed aircraft system (UAS). Landsat provides the temporal depth necessary to assess seasonal and interannual variability in surface temperature, including responses to extreme summer conditions. However, their spatial resolution limits the ability to resolve fine-scale thermal gradients near shoreline boundaries and within heterogeneous urban landscapes. UAS thermal observations address this limitation …

Unmixing In Very High Spatial Resolution Hyperspectral Images, Ana C. Chavez Lopez

Open Access Theses & Dissertations

Hyperspectral Imaging (HSI) captures hundreds of contiguous narrow wavelength bands across the optical region of the electromagnetic spectrum collecting the spectral signature of materials in the field of view of the sensor enabling detailed analysis of each pixel's spectral signature. Satellite or airborne remote sensing systems often capture imagery with low to moderate spatial resolution (LMSR). At these resolutions, the measured spectral signature is a mixture of the signatures of the materials within a single pixel. This mixing of spectral information makes analysis and material identification difficult. Hyperspectral unmixing is an analysis technique that decomposes a pixel's spectrum into constituent …

Identifying The Drivers Behind The Decline Of Douglas-Fir And True Fir Species In Sw Oregon, Alexander Bryant Bentley

Dissertations and Theses

Increased levels of Pseudotsuga menziesii (DF) and Abies species (TF) decline throughout dry forests in the Klamath Mountains and Western Cascades ecoregions have been recorded in recent years, with preliminary evidence suggesting that factors influenced by changing climatic conditions and encroachment from fire suppression policies are primarily to blame. Yet, the physiological and environmental mechanisms of drought-driven tree decline are poorly understood across biophysical and spatial gradients. Given the complex relations that drive decline, determining the degree of influence of specific drivers is difficult, creating unique challenges for modern forest management. To elucidate the most important factors driving DF and …

Evaluating Spatiotemporal Vegetation Index Variation To Detect Salt Marsh Dieback On The Georgia Coast, Emmanuella Bosompemaa Obeng

College of Graduate Studies: Theses & Dissertations

Salt marshes, essential for coastal protection and carbon sequestration, are increasingly vulnerable to dieback events, threatening ecosystem resilience and vital services. Detecting these shifts early is essential for timely intervention. However, few studies have applied Early Warning Signals (EWS) to coastal marsh systems. Most EWS research has focused on lakes, forests, or climate tipping points, with limited application to salt marsh dieback in the southeastern U.S. Site-specific, long-term spatial analyses are also lacking, as prior work often examines short time frames or single disturbance events. This study investigates the spatiotemporal patterns of salt marsh dieback on the Georgia coast from …

Wildlife Distribution Mapping And Analysis In Gorongosa National Park, Mozambique, Using Site And Satellite Imagery Data, Pinho Joaquim Munhequeira Mr

Murray State Theses and Dissertations

One of Mozambique's most important conservation sites, Gorongosa National Park has seen critical ecological changes over the past several decades resulting from climate variability, habitat loss, and political instability. This research integrates Geographic Information Systems (GIS) and remote sensing to examine the relationship between vegetation dynamics and wildlife population, and distribution. The main goals of this study are to evaluate the spatial distribution of particular wildlife species: buffalo (Syncerus caffer), elephant (Loxodonta africana), hippopotamus (Hippopotamus amphibius), and zebra (Equus quagga), and determine the impact of vegetation density and land cover on their …

Making Slums Legible, Visible And Calculable: Geospatial Technologies And The Governance Of Urban Land In Mumbai, Sanjana Krishnan

Theses and Dissertations--Geography

This dissertation examines how geospatial technologies are used to make slums in Mumbai legible, calculable, and hypervisible, and how these practices reshape urban land governance. It situates mapping, remote sensing, and algorithmic systems within their political-economic contexts, showing how technologies intending to see the city often function as instruments of dispossession. The research has three interconnected empirical chapters. The first empirical chapter traces the history of slum mapping in Mumbai, from their absences in early development plans to their selective hypervisibility under the contemporary governance regimes. Using critical cartographic methods, it highlights how novel technologies such as remote sensing, biometric …

Coupling Remote Sensing And Modelling To Monitor The Spatial Distribution And Trends Of Surface Temperature And Ice Thickness On Sub-Arctic Lakes, Gifty Attiah

Theses and Dissertations (Comprehensive)

Lake surface temperature (LST), lake ice thickness (LIT), and lake ice phenology (LIP) play significant roles in the diverse regional processes of freshwater in cold regions. They offer direct indications of regional weather and climate conditions, and their interactions with the atmosphere impact climate processes. Furthermore, lake ice is valuable to northern communities, such as those in the Northwest Territories (NWT). Ice roads, including the longest ice road in the NWT, spanning over 80 lakes, are constructed during winter to haul goods to and from industrial establishments (e.g., mines) and for travel within and between communities. A significant challenge to …

Shifting Waters: A 41-Year Time-Series Analysis Of Surface Water Change In The Prairie Pothole Region, Madison Dejarlais

Electronic Theses and Dissertations

The Prairie Pothole Region (PRR) is a landscape defined by a dynamic surface water system, with wetlands, lakes, and rivers playing critical roles in supporting biodiversity, regulating floods, and maintaining hydrological balance. This study conducts a time-series analysis of surface water change in the PPR from 1984 to 2024, using remote sensing tools including Google Earth Engine, ArcGIS Pro, and ENVI. 41 annual surface water presence rasters were compiled into a cumulative dataset, allowing for both year-to-year comparisons and broader trend analysis. Results indicate that the presence of surface water in the PPR has not followed a simple linear trend. …

Redefining Approaches For Measuring Landscape Subsidence And Permafrost Degradation In Arctic Tundra Environments, Tabatha Lynn Fuson

Open Access Theses & Dissertations

As climate change accelerates in the Arctic, the degradation of permafrost is leading to significant landscape transformation in tundra landscapes. This dissertation investigates the multifaceted responses of permafrost systems to warming, focusing on the dynamics of surface elevation changes and active layer thickness (ALT) across the North Slope of Alaska. In this study, I explore the capacity of repeat Terrestrial Laser Scanning (TLS) technology for modeling tundra features and detecting surface subsidence, specifically how different climate and landscape conditions during scanning impact TLS model precision. We also compare TLS model precision estimates to TLS model accuracy by comparing elevation values …

Conducting Structure-From-Motion (Sfm) Modeling Of Freshwater Environments Using Unpiloted Aerial Systems (Uas): Challenges And Lessons Learned, Benjamin T. Fraser, Christine L. Bunyon, Russell G. Congalton

Faculty Publications

The pairing of Unpiloted Aerial Systems (UAS) and Structure from Motion (SfM) has provided new capabilities for modeling freshwater environments. Applications of UAS-SfM range from water quality monitoring to the mapping of aquatic vegetation. The models produced provide users with the ability to analyze features at ultra-high-resolutions and across scales not easily achieved through in situ sampling. Despite the demonstrated benefits of UAS-SfM in freshwater and other natural resource disciplines, there remain fundamental technical challenges in the modeling of environments with homogenous surfaces (e.g., water). In this research, the effectiveness of several image collection and processing approaches for the modelling …

Challenges Of Using More Precise Temporal And Spatial Resolution Of Remote Sensing Data For Surface Water Quality Monitoring, Ivan Rykin

Dartmouth College Master’s Theses

Monitoring river suspended sediment concentration (SSC) is critical for environmental challenges such as understanding the fate of thawed permafrost sediment and its impact on global carbon cycling. However, traditional SSC monitoring using Landsat imagery is limited by spatial and temporal constraints, particularly for narrow rivers in cloudy and/or snowy regions.

This study investigates the use of higher spatial (3 m) and temporal (daily) resolution satellite imagery from the PlanetScope constellation to estimate SSC in remote rivers such as those in the Arctic. I compare the performance of PlanetScope’s spectral resolution (4 and 8 bands) with Landsat 7. Merging data from …

Accessibility Or Environmental Conservation? Evaluating The Relationship Between Environmental Protection And Hiking Trail Accessibility Via Photogrammetry, Lidar & Remote Sensing, Zhanchao Yang

Undergraduate Honors Theses

Binghamton University Nature Preserve spans 190 acres of land, with a notable 20-acre wetland serving a multifaceted purpose. It is dedicated to preserving the ecological integrity of this landscape, fostering biodiversity, and facilitating research and environmental education. Improving the accessibility of nature preserves can maximize its advantages, particularly in fostering environmental consciousness and responsible management. However, it may also lead to a simultaneous rise in the potential for soil erosion, unethical utilization, and disruptions to the habitat. This research focuses on Binghamton University's nature preserve as a case study to explore the intricate balance between two vital objectives: ensuring equal …

Deterministic Global 3d Fractal Cloud Model For Synthetic Scene Generation, Aaron M. Schinder, Shannon R. Young, Bryan J. Steward, Michael L. Dexter, Andrew Kondrath, Stephen Hinton, Ricardo Davila

Faculty Publications

This paper describes the creation of a fast, deterministic, 3D fractal cloud renderer for the AFIT Sensor and Scene Emulation Tool (ASSET). The renderer generates 3D clouds by ray marching through a volume and sampling the level-set of a fractal function. The fractal function is distorted by a displacement map, which is generated using horizontal wind data from a Global Forecast System (GFS) weather file. The vertical windspeed and relative humidity are used to mask the creation of clouds to match realistic large-scale weather patterns over the Earth. Small-scale detail is provided by the fractal functions which are tuned to …

The Relationship Between Water Temperature And Proximity To Surface Urban Heat Islands Within The Lower Chesapeake Bay Watershed For The Summer Of 2019, Sarah Kerner

Departmental Honors & Graduate Capstone Projects

Surface urban heat islands (SUHIs) are land surfaces with high concentrations of impervious surfaces like roofs, roads, sidewalks and other infrastructures that trap, absorb, and re-emit heat throughout the day/night and typically present higher temperatures than their surrounding rural areas. In this study, I evaluate how presence of and distance to SUHIs are associated with water temperature in the lower Chesapeake Bay watershed for the summer of 2019. When heavy precipitation events occur, flooding creates stormwater runoff, which is exposed to the hotter temperatures in urban areas. This introduces thermal pollution to nearby rivers and streams disrupting aquatic ecosystems. The …

Estimating Solar Energy Production In Urban Areas For Electric Vehicles, Shaimaa Ahmed

Theses and Dissertations

Cities have a high potential for solar energy from PVs installed on buildings' rooftops. There is an increased demand for solar energy in cities to reduce the negative effect of climate change. The thesis investigates solar energy potential in urban areas. It tries to determine how to detect and identify available rooftop areas, how to calculate suitable ones after excluding the effects of the shade, and the estimated energy generated from PVs. Geographic Information Sciences (GIS) and Remote Sensing (RS) are used in solar city planning. The goal of this research is to assess available and suitable rooftops areas using …

Glacier Segmentation From Remote Sensing Imagery Using Deep Learning, Bibek Aryal

Open Access Theses & Dissertations

Large-scale study of glaciers improves our understanding of global glacier change and is imperative for monitoring the ecological environment, preventing disasters, and studying the effects of global climate change. In recent years, remote sensing imagery has been preferred over riskier and resource-intensive field visits for tracking landscape level changes like glaciers. However, periodic manual labeling of glaciers over a large area is not feasible due to the considerable amount of time it requires while automatic segmentation of glaciers has its own set of challenges. Our work aims to study the challenges associated with segmentation of glaciers from remote sensing imagery …

Spatiotemporal Change Detection Of The Alpine Meadows At Holcomb Valley, San Bernardino Mountain National Forest, Using Gis And Remote Sensing Techniques, Rama Ewing

Electronic Theses, Projects, and Dissertations

Holcomb Valley, with a general elevation between 2200-2257m, is in the Northeast of Big Bear Lake in the San Bernardino Mountains. Holcomb Valley is covered by Alpine meadows, unlike most mountain landscapes, which are rarely found in Mediterranean climates such as California. The cultural-environmental history of the San Bernardino Mountains in the past century speaks of intense anthropogenic activities such as timbering, grazing, gold mining, and extreme climate changes (i.e., drought, fires, floods). A study is conducted to identify and calculate the changes in the Alpine meadows at Holcomb Valley. The climatical data has been acquired to compute and visualize …

Fragmented Landscapes: An Archaeology Of Transformations In The Pra River Basin, Southern Ghana, Sean Hamilton Reid

Dissertations - ALL

This doctoral archaeological research examines the Pra River Basin in southern Ghana through lenses of landscape, temporality, and transformation. Drawing on the Annales school and the writings of Tim Ingold, this study moves away from binary constructions of natural and cultural landscape features toward a more integrated view of the landscape's long human history. The primary temporal focus of this research is the past three millennia but evidence recovered of even more ancient eras is also examined. The artifacts and features documented while surveying this landscape allow us to glimpse pre-Atlantic (pre-1450 CE) settlement patterns, subsistence, and technology, as well …

Using Deep Learning And Uav Imagery To Detect Elkhorn Coral In St. Croix’S East End Marine Park, Samuel Wyatt

Master's Theses

Elkhorn coral, or Acropora palmata, is an important reef building species that promotes species abundance and other ecological services to the communities in the US Virgin Islands. We captured high resolution imagery of a reef in St. Croix’s East End Marine Park using a Wingtra One UAV. We then used deep learning techniques to detect individual coral colonies. We compared two deep learning models, FasterRCNN and MaskRCNN, and found that the models achieved accuracy shores up to 0.78. These scores improved when examining only larger corals in shallow waters. The model was able to both detect Elkhorn coral and …

Identification Of Poverty Areas By Using Machine Learning Classification Methods From Satellite Imagery In Buraydah City, In The Qassim Region Of Saudi Arabia, Amal Alfawzan

Murray State Theses and Dissertations

Saudi Arabia is a wealthy country with its many resources, but it has seen an increase in poverty recently because of a high rate of population growth with a high rate of unemployment. Some estimate that the number of Saudi Arabians living in poverty is between two and four million. This research aims to develop a way to detect poverty through remote sensing. The study area is Buraydah City, the largest city of the Qassim region, an important agricultural center that plays a significant role in the economy of Saudi Arabia. The research hypothesized that there are poor areas within …

Observations Of Post-Wildfire Landcover Trends In Boreal Alaska Using A Suite Of Remote Sensing Approaches, Eric John Deutsch

Theses - ALL

Wildfires are a common occurrence in the boreal ecosystems of the Pacific Northwest. Studies suggest that anthropogenic climate change has fostered more frequent and higher severity fires in recent decades in these forests, which may result in substantial changes in vegetation structure and ecosystem functioning. However, large-scale studies examining the linkages between changing boreal wildfire regimes and vegetation structure have historically been limited in spatial scope due to the broad area and inaccessibility of many boreal regions, including the Alaskan interior. The development and advancement of satellite remote sensing instruments and geospatial analysis techniques provide researchers with unmatched abilities to …

Monitoring War Destruction From Space Using Machine Learning, Hannes Mueller, Andre Groeger, Jonathan Hersh, Andrea Matranga, Joan Serrat

Economics Faculty Articles and Research

Satellite imagery is becoming ubiquitous. Research has demonstrated that artificial intelligence applied to satellite imagery holds promise for automated detection of war-related building destruction. While these results are promising, monitoring in real-world applications requires high precision, especially when destruction is sparse and detecting destroyed buildings is equivalent to looking for a needle in a haystack. We demonstrate that exploiting the persistent nature of building destruction can substantially improve the training of automated destruction monitoring. We also propose an additional machine-learning stage that leverages images of surrounding areas and multiple successive images of the same area, which further improves detection significantly. …

Spatial Assessment Of Urban Growth In Cities Of The Decapolis; And The Implications For Modern Cities, Wade A. Pierson

Graduate Theses and Dissertations

The Levant’s Decapolis was a network of ten cities in Greco-Roman Israel, Jordan, and Syria that established a thriving economic community. The Decapolis was home to ancient and modern cities like Damascus (Dammásq) and Amman (Philadelphia). Despite the various origins of these cities, Roman administration and their city planners oversaw the implementation of idealized Roman city form throughout the region. Three Decapolis cities represent intriguing examples of the larger confederation. Philadelphia (Amman), Gerasa (Jerash), and Gadara (Umm Qais) represent cities of common original urban form which developed drastically diverse urban morphologies over time.

Spatial analyses of these cities required working …

A Karst Feature Prediction Model For Prince Of Wales Island, Alaska Based On High Resolution Lidar Imagery, Alexander Lyles

Master's Theses or Doctor of Nursing Practice

Investigation into surface karst formation is significant to hazard prediction, hydrogeologic drainage, and land management. Southeast Alaska contains over 600,000 acres of mapped carbonate bedrock, and some of the fastest recorded karst dissolution in the world. The objectives of this study are to develop and compare multiple semi-automated models to map and delineate karst features from bare-earth LiDAR imagery using ArcGIS Desktop 10.7, and to apply a preliminary geostatistical analysis of sinkhole morphometric parameters to highlight potential spatial patterns of karst evolution on Prince of Wales Island, Alaska. A semi-automated approach of mapping karst features provides a dataset that minimizes …

Remote Sensing Applications In Population Estimation, Regression Analysis, And Urban Growth Simulation Modeling For A Middle Eastern City, Elaf Amer Alyasiri

Graduate Research Theses & Dissertations

Due to a change in government regime and population migration, the City of Hillah in Iraq has been facing several urban issues, particularly population estimating and urban growth planning. Since the last census conducted in 1997, population in Iraq has been estimated based on the annual growth, without considering migration as factor of the population growth. Therefore, the aim of this dissertation study was to develop a population estimation method and an urban growth simulation method for the City of Hillah. Population data were estimated for Hillah, using the Normalized Difference Built-up Index (NDBI) derived from Remote Sensing (RS) and …

Snow-Albedo Feedback In Northern Alaska: How Vegetation Influences Snowmelt, Lucas C. Reckhaus

Theses and Dissertations

This paper investigates how the snow-albedo feedback mechanism of the arctic is changing in response to rising climate temperatures. Specifically, the interplay of vegetation and snowmelt, and how these two variables can be correlated. This has the potential to refine climate modelling of the spring transition season. Research was conducted at the ecoregion scale in northern Alaska from 2000 to 2020. Each ecoregion is defined by distinct topographic and ecological conditions, allowing for meaningful contrast between the patterns of spring albedo transition across surface conditions and vegetation types. The five most northerly ecoregions of Alaska are chosen as they encompass …