Remote Sensing Commons^™

Contrasting Coastal Dune Environments In Chile, Aurora Christianson

Discovery Day - Daytona Beach

Emerging coastalization and urbanization threats to the prehistoric Concón Dunes and Humedal de Mantagua coastal area of Chile is being investigated by researchers via uncrewed aircraft systems (UAS) in "Contrasting Coastal Dune Environments in Chile." Four UAS were utilized: Anzu Raptor T, DJI Mavic 3E, DJI Mavic 3M, and DJI Air 3 to collect various images of the coastal dunes. Multispectral and RGB cameras gather images by photogrammetry to create orthomosaics and monitor vegetation indexes in Pix4Dmapper. Thermal cameras provided images in rainbow, white hot infrared, and black hot infrared schemes to monitor wildlife and vegetation. The normalized difference vegetation …

Cramer’S V-Based Driver Screening For Land-Use Change Prediction In A Flood-Prone Coastal Lowland Of Demak Regency, Indonesia (2002-2035), Mellinia Regina Heni Prastiwi, Sigit Heru Murti Budi Santosa, Sudaryatno Sudaryatno, Daud Richard Malusu

Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi

Land use in the floodplain of Demak Regency has changed rapidly under pressure from urbanization and economic activity, and this change is hypothesized to contribute to increased flood risk, a concern reinforced by the extreme flood disaster of February-March 2024, although establishing a direct causal link between the observed land-use trajectory and the magnitude of that specific flood event would require dedicated hydrological modeling beyond the scope of this study. This study proposes examining the spatio-temporal dynamics of land use from 2002 to 2024 and forecast the conditions in 2035 utilizing a Land Change Model (LCM) framework combining Markov chains …

Increasing Accuracy Of Mapping Local Climatic Zones Using Building Height And Spectral Unmixing, Ian Douglas Stauffer

Masters Theses

Local climatic zone (LCZ) classifications are traditionally done using reflectance, population data, and often climatic data. The goal of this research is to utilize Google’s new “Open Buildings Temporal v1” building data set as well as “spectral unmixing”. With the objective of testing, assessing, and implementing this data set into the workflow of LCZ mapping. After testing the quality of the data against a validated LiDAR data set from the same year as a given “Open Buildings Temporal v1” band, I implemented it into the Random Forest machine learning process. Secondly, I justified the use of spectral unmixing as a …

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 …

Evaluating Climatic Niche Suitability For Bos Javanicus Reintroduction In Cagar Alam Pananjung Pangandaran Using Maxent And Native-Habitat Benchmarks From Ujung Kulon And Alas Purwo, Azhari Al Kautsar, Masita Dwi Mandini Manessa

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

The Javan banteng (Bos javanicus) persists on Java mainly in a small number of protected-area strongholds, making robust climatic niche characterization important for conservation planning and for evaluating potential management or restoration targets. Here, we modeled banteng climatic suitability in southwestern Java using a MaxEnt (maxnet) framework calibrated with bioclimatic predictors from CHELSA and benchmark occurrence records from extant populations in Ujung Kulon National Park (UKNP) and Alas Purwo National Park (APNP). To contextualize transferability to non-occupied protected habitat, we also projected suitability to Cagar Alam Pananjung Pangandaran (CAPP) and quantified environmental novelty using the Multivariate Environmental Similarity Surface (MESS). …

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, …

Data-Driven Methodologies For Mapping Cultural Heritage: The Case Of The National Coal Heritage Area, West Virginia, Usa, Hossain Mohammad Nahyan

Graduate Theses, Dissertations, and Problem Reports (ETD)

The objective of this dissertation was to develop a comprehensive, data-driven spatial framework for characterizing the complex cultural landscape of the National Coal Heritage Area (NCHA) in West Virginia. By transitioning away from traditional, heuristic spatial mapping, this research integrates advanced spatial statistics, machine learning, and GIS-based methodologies to objectively quantify the physical, visual, and cultural dimensions of the post-mining environment. The research is structured around three interconnected empirical studies, each addressing a specific scale of the Landscape Character Assessment (LCA) framework to support heritage conservation and sustainable spatial planning. The first paper focused on landform classification, developing an automated …

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.

Marooned: A Western Frontier Dismal Swamp Narrative, Professor Meya E. Hargett

The Scholarship Without Borders Journal

Marooned: A Western Frontier Dismal Swamp Narrative centers the erased figure of Samuel Mars, a lost Black station master whose movements through the Great Dismal Swamp have been excluded from dominant Underground Railroad cartographies. Here, the term “Marooned” refers not to abandonment, but to the maroon geographies of Black and Indigenous resistance encoded in land, lineage, and fugitive infrastructure.

Guided by Diasporic Maroon Memory Theory, Lineage as Method, and the Maroon Geographies Framework, this research reconstructs Mars’s trajectory through oral testimony, spatial patterning, and ancestral land memory. Rather than casting the Dismal Swamp merely as a site of refuge, this …

Remotely-Sensed Urbanization And Local Perceptions Of Change From 1985-2024 In Southern Indiana., Marlea Ferber

Electronic Theses and Dissertations

This study is focused on the land cover change of non-built land cover being transformed into built land cover in two counties in Southern Indiana using mixed methods. Remote sensing was used to identify and quantify land cover change, and interviews were used to understand local perceptions of the physical land cover changes. The study area is situated along the rural-urban continuum with Louisville, Kentucky across the Ohio River. It is important to quantify the amount of land change conversion to built settlement as patterns and rate of urbanization help us to better manage transitions along the rural-urban continuum, but …

The Dynamics Of Urbanization And Changes In Ekistics Elements: A Case Study Of Surakarta City, Sarah Astita

Cities and Urban Development Journal

Urbanization has become a driving force behind significant spatial, environmental, and socio-economic transformations in urban areas, including Surakarta, the most densely populated city in Central Java. The rapid increase in population and urban expansion has led to drastic changes in land use and the structure of human settlements. This study aims to analyze the impact of urbanization on the ekistic elements of Surakarta (nature, humans, society, space/shells, and networks) and how these changes manifest spatially over time. A descriptive qualitative approach is employed using literature analysis and the interpretation of Landsat satellite imagery from 2011 and 2022. The findings show …

Forest Above-Ground Biomass Estimation Using Nasa Gedi Lidar Waveforms And Global Tree Allometry, Ian Grant

Theses and Dissertations

Above-ground forest biomass plays a crucial role in global carbon cycles, yet accurately estimating biomass at global scales remains challenging. This thesis addresses two key challenges in processing NASA’s Global Ecosystem Dynamics Investigation (GEDI) space-borne lidar data to estimate above-ground biomass density (AGBD): accounting for global variation in forest structure and developing robust physical interpretations of lidar returns. The first component of the thesis analyzes global patterns of tree allometry using the Tallo tree allometry dataset, examining relationships between tree dimensions across biomes, continents, and plant functional types. This analysis reveals consistent allometry across continents for some biomes (e.g., tropical …

Dataset Supporting The Manuscript Fire Spread, Intensity, And Emissions Observations By Multiple Satellites: The Southern California Wildfires Of January 2025, Fangjun Li, Xiaoyang Zhang, Mark Cochrane, Shobha Kondragunta, Shuai An

Global Land Surface Season Data Sets

The data is for the paper "Fire Spread, Intensity, and Emissions Observations by Multiple Satellites: the Southern California Wildfires of January 2025" which has been submitted to the journal AGU Advances.

The downloadable file contains:

• README file that provides an overview of all all supporting files and scripts.
• 12 files folders containing the data and scripts

File type : zip/application
File size :  1.2GB

Slum Area Detection In Dhaka City, Bangladesh, Using Satellite Remote Sensing And Deep Learning, Soubhoon Sadeq Shinjini

Electronic Theses and Dissertations

Dhaka City, a rapidly growing megacity and high-density developing area in Bangladesh, faces numerous urbanization challenges. Among these, informal settlements or slum areas pose serious concerns for authorities and policymakers striving to improve living conditions for slum dwellers. Dhaka City’s slums are characterized by high-density, one- or two-story structures made of low-cost materials, often located adjacent to natural water bodies and lacking basic public infrastructure (Ahmed 2014; Iqbal 2014; Jahan 2012). The need for accurate and up-to-date data on these settlements is crucial for researchers and policymakers, particularly for implementing slum upgradation and resettlement programs. However, traditional field surveys for …

Satellite And Uas Synergy For Large-Scale Crop Canopy Cover Mapping With Deep Learning, Muhammad Ali Irshad

Electronic Theses and Dissertations

No abstract provided.

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 …

Remote Sensing - Based Mapping And Analysis Of Winter Cover Crop Adoption For Sustainable Agriculture, Minnehaha County, Belinda Buechler

Electronic Theses and Dissertations

Winter cover crops planted by farmers such as cereal rye, crimson clover, radishes, hairy vetch, and winter wheat are used to conserve and protect the soil during winter. These crops offer numerous benefits such as improving soil health, reducing erosion, fixing nitrogen, increasing carbon sequestration, and weed suppression. Over time, winter cover cropping has been recognized as a sustainable agricultural practice and has gained attention from Federal and State conservation programs, farmers, and non-governmental organizations. Due to their vital benefits, agencies such as the United States Department of Agriculture (USDA), Natural Resources Conversation Services (NRCS) have partnered with cost-share programs …

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. …

Seasonal Dynamics In Land Surface Temperature In Response To Land Use Land Cover Changes Using Google Earth Engine, Lei Feng, Sajjad Hussain, Narcisa G. Pricope, Sana Arshad, Aqil Tariq, Li Feng, Muhammad Mubeen, Rana Waqar Aslam, Mohammed S. Fnais, Wenzhao Li, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

Changes in land use and land cover (LULC) are critical for evaluating global spatiotemporal trends, especially regarding climate change and urbanization. This study investigates the dynamics of Landsat surface temperature (LST) in response to LULC changes and their effects on the seasonal microclimate in Kasur District, Pakistan. Using the Google Earth Engine platform, we employed a random forest algorithm to detect LULC changes (cropland, forest, built-up, fallow, barren, and water) and analyze seasonal spectral indices from Landsat imagery for 1988, 2002, and 2022. Significant LULC changes were observed, including a 9.8% increase in built-up areas, a 4.2% decrease in cropland, …

Geospatial Analysis Of Environmental, Tick, And Host Interactions With Rocky Mountain Spotted Fever In The Southwestern United States, Al Ekram Elahee Hridoy

Geography ETDs

This study examines the spatiotemporal distribution and determinants of Rocky Mountain Spotted Fever (RMSF) incidence in Arizona from 2006 to 2021. Utilizing climate variables, land cover types, and socio-economic indicators, we employed Negative Binomial Regression, Spatial autocorrelation, and Random Forest-based classification to identify key predictors and patterns of RMSF spread. Results indicate positive correlations between RMSF incidence and precipitation and shrub cover, while veterinary access, forest cover, and relative humidity show negative associations. Spatial analysis revealed significant case clustering, with limited veterinary access associated with higher RMSF incidence. A Random Forest-based predictive model was developed to identify potential tick-host interactions, …

Spatial Pattern Of Tropical Cyclone In South Indonesia During 1990-2023, Agus Salim Nur, Adi Wibowo, Supriatna Supriatna Department Of Geography, Faculty Of Mathematics And Natural Sciences, Universitas Indonesia, Stefanus Binoto Tampubolon

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

Tropical cyclones are one of the most destructive weather phenomena because they pose three main dangers: heavy rainfall, strong winds, and storm surge. The occurrence of tropical cyclones is expected to increase both in terms of intensity and geographical spread due to climate change. Indonesia, located around the equator with a low Coriolis force, was previously considered safe from tropical cyclones. This study aims to examine the spatial pattern of tropical cyclones in the southern part of Indonesia during the period from 1990 to 2023 to understand the extent to which tropical cyclones can occur near the equator. The analysis …

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 …

The Development Of A Convenient And Consistent Methodology For Flight Proficiency To Certify Multi-Rotor Uas Pilots For State Departments Of Transportation, Colin Dees

All Dissertations

To fly an unmanned aircraft system (UAS), commonly referred to as a “drone,” the Federal Aviation Administration (FAA) requires pilots to pass a knowledge test. There is no requirement at the state or federal level for drone operators to demonstrate the ability to operate a UAS. The National Institute of Science and Technology (NIST) has created an exam for public and private entities to assess basic UAS flight proficiency. It is the only nationally recognized flight proficiency protocol. NIST does not provide a scoring recommendation and leaves it to the user to determine the minimum criteria to pass. There is …

Understanding Land Uses And Their Manifestations Across The Rural-Urban Continua Of Rangpu, Bangladesh And Louisville, Kentucky., Md Jakirul Islam Jony Prothan

Electronic Theses and Dissertations

Rapid urban growth accelerates various features characteristic of rural-urban environments as they change from urban cores to rural areas. This study examines land use change along a rural-urban continuum for two different cities: Louisville, USA, and Rangpur, Bangladesh. Different key land use patterns are compared within and across these different city contexts from 2000 to 2020. Land use change and comparing its spatiotemporal factors are useful metrics to better understand the patterns of development, socio-demographic change, and the uniqueness of cities. Spatial and temporal patterns of sociodemographic and biophysical components of land use provide important information for identifying transition zones …

Characteristic Of Dual Polarization Sentinel-1 For Estimation Of Seawater Intrusion On Kalianda Coast, South Lampung: A Preliminary Study, Choirunnisa Salsabila, Mochamad Firman Ghazali, Ananda Dermawan, Lauditta Zahra, Ni Made Mega Melliana, Mila Aulia

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

Seawater intrusion can increase soil salinity, which occurs due to flooding, evaporation, and land cover changes in coastal areas. This research aims to map and observe the characteristics of seawater intrusion in Way Urang, Kalianda, South Lampung, using Dual-polarization of Sentinel-1 SAR imagery with VV, VH, VV+VH, and (VV+VH)/2 polarization. There were 28 samples used in this research which were divided into two types, GCP (ground control point) and ICP (independent check point). GCP samples are used to create a seawater intrusion estimation model using the regression method, while ICP samples are used to test the validation model using the …

Changes In Chili Value Chain In Gunungkidul Regency Due To Covid-19 Pandemic, Muhammad Vitra Ramadhan, Widyawati Sumadio

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

This study explored the changes in the chili value chain in Gunungkidul Regency due to the COVID-19 pandemic. This study used a qualitative approach by conducting in-depth interviews with chili farmers, collectors, traders, and buyers in Gunungkidul Regency. The research results show that the COVID-19 pandemic has affected all stages of the chili value chain in Gunungkidul Regency. The actors in the chili value chain in Gunungkidul Regency have successfully adapted to face disruptions due to the COVID-19 pandemic by using information technology to communicate between actors and obtain market price information. Before the pandemic, Gunungkidul Regency was one of …

Near-Real-Time Monitoring Of Crop Progress At Field Scales By Fusing Observations From Both Polar-Orbiting And Geostationary Satellites, Yu Shen

Electronic Theses and Dissertations

No abstract provided.

A Tale Of Two Working Landscapes, Sage C. Sutcliffe

Graduate Student Theses, Dissertations, & Professional Papers

No abstract provided.

Quantifying Structural Vegetation Change On Arctic Tundra: A Multi-Decadal Study Integrating Remotely Sensed Imagery And Traditional Field Measurements, Anna M. Moser

Graduate Student Theses, Dissertations, & Professional Papers

Arctic regions have experienced an amplified rate of climate warming in recent decades, contributing to well-documented increases in tundra vegetation productivity. Satellite remote sensing has historically played a crucial role in detecting and quantifying trends at regional and biome scales; however, coarse resolution imagery has proven insufficient for capturing fine-scale variability in vegetation response. Considering the spatial heterogeneity of tundra vegetation, high resolution, plot-scale remote sensing observations are necessary. This study couples traditional field measurements with high-resolution unmanned aerial vehicle (UAV) imagery and plane-based aerial photos to quantify changes in vegetation on the North Slope of Alaska over a 28-year …

Aboveground Biomass Density Estimation Using Deep Learning: Insight From Neon Ground-Truth Data And Simulated Gedi Waveform, Ashish Mahaur

Dissertations, Master's Theses and Master's Reports

Accurately estimating Aboveground Biomass Density (AGBD) is crucial for managing Earth's carbon cycle and informing climate strategies. NASA's GEDI mission advances global forest mapping, but traditional linear models often yield less reliable AGBD estimates. This study enhances AGBD estimation using deep learning models with NEON ground-truth data and simulated GEDI waveforms. We compared 1D CNNs, LSTMs, and pre-trained CNNs to traditional models. The ResNet152 model outperformed linear regression, achieving an R² of 0.68, demonstrating a 17% improvement. Our experiments also demonstrate the importance of large, diverse datasets, particularly for training deep learning models.