Open Access. Powered by Scholars. Published by Universities.®
Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Institution
- Publication
-
- Electronic Theses and Dissertations (2)
- Electronic Thesis and Dissertation Repository (2)
- Graduate Student Theses, Dissertations, & Professional Papers (2)
- Masters Theses (2)
- Michigan Tech Publications (2)
-
- Biology Faculty Publications and Presentations (1)
- Biology, Chemistry, and Environmental Sciences Faculty Articles and Research (1)
- Computational Modeling & Simulation Engineering Theses & Dissertations (1)
- Geography Articles (1)
- Geography Faculty Publications and Presentations (1)
- Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments) (1)
- Mathematics, Physics, and Computer Science Faculty Articles and Research (1)
- Open Access Theses & Dissertations (1)
- Publication Type
Articles 1 - 18 of 18
Full-Text Articles in Social and Behavioral Sciences
Environmental And Spatial Factors Affecting Surface Water Quality In A Himalayan Watershed, Central Nepal, Janardan Mainali, Heejun Chang
Environmental And Spatial Factors Affecting Surface Water Quality In A Himalayan Watershed, Central Nepal, Janardan Mainali, Heejun Chang
Geography Faculty Publications and Presentations
Various spatial interrelationships among sampling stations are not well explored in the spatial modeling of water quality literature. This research explores the relationship between water quality and various social, demographic, and topographic factors in an urbanizing watershed of Nepal with a comparison of different connectivity matrices to conceptualize spatial interrelationships. We collected electrical conductivity and dissolved oxygen data from surface water bodies using a handheld probe and used the data to establish relationships with land use, topography, and population density-based explanatory variables at both watershed and 100-m buffer scales. The linear regression model was compared with different eigenvector-based spatial filtering …
Quantifying Surface Severity Of The 2014 And 2015 Fires In The Great Slave Lake Area Of Canada, Nancy H. F. French, Jeremy Graham, Ellen Whitman, Laura Bourgeau-Chavez
Quantifying Surface Severity Of The 2014 And 2015 Fires In The Great Slave Lake Area Of Canada, Nancy H. F. French, Jeremy Graham, Ellen Whitman, Laura Bourgeau-Chavez
Michigan Tech Publications
The focus of this paper was the development of surface organic layer severity maps for the 2014 and 2015 fires in the Great Slave Lake area of the Northwest Territories and Alberta, Canada, using multiple linear regression models generated from pairing field data with Landsat 8 data. Field severity data were collected at 90 sites across the region, together with other site metrics, in order to develop a mapping approach for surface severity, an important metric for assessing carbon loss from fire. The approach utilised a combination of remote sensing indices to build a predictive model of severity that was …
Identifying Smokestacks In Remotely Sensed Imagery Via Deep Learning Algorithms, Kenneth Moss
Identifying Smokestacks In Remotely Sensed Imagery Via Deep Learning Algorithms, Kenneth Moss
Masters Theses
Locating smokestacks in remote sensing imagery is a crucial first step to calculating smokestack heights, which allows for the accurate modeling of dioxin pollution spread and the study of resulting health impacts. In the interest of automating this process, this thesis examines deep learning networks and how changes in input datasets and network architecture affect image detection accuracy. This initial image detection serves as the first step in automated object recognition and height calculation. While this is applicable to general land use classification, this study specifically addresses detecting smokestack images. Different dataset scenarios are generated from the massive Functional Map …
Effect Of Urbanization On Channel Platforms Of River Kaduna From 1962-2017, Kaduna State, Nigeria, Ali Williams Butu, Chukwudi Nnaemeka Emeribe, Dewingong Columbus Leke, Mamman Shaba Jibril
Effect Of Urbanization On Channel Platforms Of River Kaduna From 1962-2017, Kaduna State, Nigeria, Ali Williams Butu, Chukwudi Nnaemeka Emeribe, Dewingong Columbus Leke, Mamman Shaba Jibril
Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments)
The study investigated changes in channel planforms of River Kaduna. Topographic maps were complimented with Mosaic of SPOT 5 satellite and Sentinel-2 images. Results showed that except for sinuosity index and channel length, channel width, braiding and channel migration exhibited considerable changes. These changes were evident in reduced velocity and stream energy, the type of sediment being transported, the silt materials being transported in suspension and the coarse sand and gravels being moved by lift and drag processes which are easily deposited, thus causing the channel to contract and braid. Channel migration occurred as gradual bend shifts leaving no evidence …
Deep Learning For Remote Sensing Image Processing, Yan Lu
Deep Learning For Remote Sensing Image Processing, Yan Lu
Computational Modeling & Simulation Engineering Theses & Dissertations
Remote sensing images have many applications such as ground object detection, environmental change monitoring, urban growth monitoring and natural disaster damage assessment. As of 2019, there were roughly 700 satellites listing “earth observation” as their primary application. Both spatial and temporal resolutions of satellite images have improved consistently in recent years and provided opportunities in resolving fine details on the Earth's surface. In the past decade, deep learning techniques have revolutionized many applications in the field of computer vision but have not fully been explored in remote sensing image processing. In this dissertation, several state-of-the-art deep learning models have been …
Seeing The Invisible: An Integrated Remote Sensing Approach To Mapping Buried Architecture At Las Colmenas, Virú Valley, Peru, Kayla C. Golay Lausanne
Seeing The Invisible: An Integrated Remote Sensing Approach To Mapping Buried Architecture At Las Colmenas, Virú Valley, Peru, Kayla C. Golay Lausanne
Electronic Thesis and Dissertation Repository
This thesis reports on the results of a survey project conducted in 2018 and 2019, intending to address two main research questions: (1) What remote sensing technique(s) worked best to identify buried features at Las Colmenas? (2) What combinations of techniques proved to be optimal for identifying buried features, and what are the benefits and limitations of the use of an integrated approach? This project incorporated two scales of analysis: macroscale optical and thermal Unmanned Aerial Vehicle (UAV) surveys and microscale Ground-Penetrating Radar (GPR), magnetic susceptibility, and magnetometry surveys. A side-by-side comparison proved the thermal UAV, GPR, and magnetic susceptibility …
Pre-Emptive Detection Of Mature Pine Drought Stress Using Multispectral Aerial Imagery, Nancy Grulke, Jason Maxfield, Phillip Riggan, Charlie Schrader-Patton
Pre-Emptive Detection Of Mature Pine Drought Stress Using Multispectral Aerial Imagery, Nancy Grulke, Jason Maxfield, Phillip Riggan, Charlie Schrader-Patton
Biology Faculty Publications and Presentations
Drought, ozone (O3), and nitrogen deposition (N) alter foliar pigments and tree crown structure that may be remotely detectable. Remote sensing tools are needed that pre-emptively identify trees susceptible to environmental stresses could inform forest managers in advance of tree mortality risk. Jeffrey pine, a component of the economically important and widespread western yellow pine in North America was investigated in the southern Sierra Nevada. Transpiration of mature trees differed by 20% between microsites with adequate (mesic (M)) vs. limited (xeric (X)) water availability as described in a previous study. In this study, in-the-crown morphological traits (needle chlorosis, …
Earth Observation And Sustainable Development Goals, Ramesh P. Singh
Earth Observation And Sustainable Development Goals, Ramesh P. Singh
Biology, Chemistry, and Environmental Sciences Faculty Articles and Research
"Planet Earth is a dynamic body, which is home to 7.8 billion people, and strong interactions exist between the human population and the Earth’s different components (land, ocean, biosphere, cryosphere and atmosphere). The impacts of such interactions are observed from the day-to-day changes in weather, solar radiation, cloudy conditions, poor visibility, rainfall and frequency of natural hazards around the globe. The dynamic nature of the Earth is evident at the ocean coast through the ocean waves, the nature of these waves varies from day-to-day and also morning to evening. For example, the heights of waves can now be predicted through …
Airborne Observations Of Thermal Anisotropy From Urban Residential Neighbourhoods In Salt Lake City, Utah, Samantha J. Claessens
Airborne Observations Of Thermal Anisotropy From Urban Residential Neighbourhoods In Salt Lake City, Utah, Samantha J. Claessens
Electronic Thesis and Dissertation Repository
Urban surface temperatures are important variables in urban climatological processes. This thesis examines the directional variability of remotely sensed urban surface temperatures (thermal anisotropy or Λ) for three vegetated residential neighbourhoods in Salt Lake City, Utah, USA. Airborne thermal remote sensing using a thermal imager sampled the directional brightness temperature (DBT) at three times within a day for each site. Results indicate that temporal variability over a 20 – 30-minute flight was not negligible. Average DBT were then extracted from atmospherically corrected images and plotted on polar plots. For low density residential neighbourhoods Λ is increased with increasing tree-canopy coverage …
The Urban Morphology Of Hyderabad, India: A Historical Geographic Analysis, Kevin B. Haynes
The Urban Morphology Of Hyderabad, India: A Historical Geographic Analysis, Kevin B. Haynes
Masters Theses
Hyderabad, India has undergone tremendous change over the last three centuries. The study seeks to understand how and why Hyderabad transitioned from a north-south urban morphological directional pattern to east-west during from 1687 to 2019. Satellite-based remote sensing will be used to measure the extent and land classifications of the city throughout the twentieth and twenty-first century using a geographic information science and historical-geographic approach. This approach provides the basis for a structured archival historical-geographic analysis. Focusing on Hyderabad, India from 1687 to 2019, the objectives of this research are to: (1) delineate and quantify the geographic extent of built-up …
Mapping Kenyan Grassland Heights Across Large Spatial Scales With Combined Optical And Radar Satellite Imagery, Olivia S. B. Spagnuolo, Julie C. Jarvey, Michael Battaglia, Zachary Laubach, Mary Ellen Miller, Kay E. Holekamp, Laura Bourgeau-Chavez
Mapping Kenyan Grassland Heights Across Large Spatial Scales With Combined Optical And Radar Satellite Imagery, Olivia S. B. Spagnuolo, Julie C. Jarvey, Michael Battaglia, Zachary Laubach, Mary Ellen Miller, Kay E. Holekamp, Laura Bourgeau-Chavez
Michigan Tech Publications
Grassland monitoring can be challenging because it is time-consuming and expensive to measure grass condition at large spatial scales. Remote sensing offers a time- and cost-effective method for mapping and monitoring grassland condition at both large spatial extents and fine temporal resolutions. Combinations of remotely sensed optical and radar imagery are particularly promising because together they can measure differences in moisture, structure, and reflectance among land cover types. We combined multi-date radar (PALSAR-2 and Sentinel-1) and optical (Sentinel-2) imagery with field data and visual interpretation of aerial imagery to classify land cover in the Masai Mara National Reserve, Kenya using …
Remote Sensing Monitoring Of Vegetation Dynamic Changes After Fire In The Greater Hinggan Mountain Area: The Algorithm And Application For Eliminating Phenological Impacts, Zhibin Huang, Chunxiang Cao, Wei Chen, Min Xu, Yongfeng Dang, Ramesh P. Singh, Barjeece Bashir, Bo Xie, Xiaojuan Lin
Remote Sensing Monitoring Of Vegetation Dynamic Changes After Fire In The Greater Hinggan Mountain Area: The Algorithm And Application For Eliminating Phenological Impacts, Zhibin Huang, Chunxiang Cao, Wei Chen, Min Xu, Yongfeng Dang, Ramesh P. Singh, Barjeece Bashir, Bo Xie, Xiaojuan Lin
Mathematics, Physics, and Computer Science Faculty Articles and Research
Fires are frequent in boreal forests affecting forest areas. The detection of forest disturbances and the monitoring of forest restoration are critical for forest management. Vegetation phenology information in remote sensing images may interfere with the monitoring of vegetation restoration, but little research has been done on this issue. Remote sensing and the geographic information system (GIS) have emerged as important tools in providing valuable information about vegetation phenology. Based on the MODIS and Landsat time-series images acquired from 2000 to 2018, this study uses the spatio-temporal data fusion method to construct reflectance images of vegetation with a relatively consistent …
Responses Of Land Surface Phenology To Wildfire Disturbances In The Western United States Forests, Jianmin Wang
Responses Of Land Surface Phenology To Wildfire Disturbances In The Western United States Forests, Jianmin Wang
Electronic Theses and Dissertations
Land surface phenology (LSP) characterizes the seasonal dynamics in the vegetation communities observed for a satellite pixel and it has been widely associated with global climate change. However, LSP and its long-term trend can be influenced by land disturbance events, which could greatly interrupt the LSP responses to climate change. Wildfire is one of the main disturbance agents in the western United States (US) forests, but its impacts on LSP have not been investigated yet. To gain a comprehensive understanding of the LSP responses to wildfires in the western US forests, this dissertation focused on three research objectives: (1) to …
Modelling And Mapping The Intra-Urban Spatial Distribution Of Plasmodium Falciparum Parasite Rate Using Very-High-Resolution Satellite Derived Indicators, Stephanos Georganos, Oscar Brousse, Sebastien Dujardin, Catherine Linard, Daniel Casey, Marco Millones, Benoit Parmentier, Nicole P.M. Van Lipzig, Mattias Demuzere, Sabine Vanhuysse, Nicholus Mboga, Vernica Andreo, Robert W. Snow, Moritz Lennert
Modelling And Mapping The Intra-Urban Spatial Distribution Of Plasmodium Falciparum Parasite Rate Using Very-High-Resolution Satellite Derived Indicators, Stephanos Georganos, Oscar Brousse, Sebastien Dujardin, Catherine Linard, Daniel Casey, Marco Millones, Benoit Parmentier, Nicole P.M. Van Lipzig, Mattias Demuzere, Sabine Vanhuysse, Nicholus Mboga, Vernica Andreo, Robert W. Snow, Moritz Lennert
Geography Articles
The rapid and often uncontrolled rural–urban migration in Sub-Saharan Africa is transforming urban landscapes expected to provide shelter for more than 50% of Africa’s population by 2030. Consequently, the burden of malaria is increasingly affecting the urban population, while socio-economic inequalities within the urban settings are intensified. Few studies, relying mostly on moderate to high resolution datasets and standard predictive variables such as building and vegetation density, have tackled the topic of modeling intra-urban malaria at the city extent. In this research, we investigate the contribution of very-high-resolution satellite-derived land-use, land-cover and population information for modeling the spatial distribution of …
Deep Learning For Overhead Imagery: Algorithms And Applications, Anthony Manuel Ortiz Cepeda
Deep Learning For Overhead Imagery: Algorithms And Applications, Anthony Manuel Ortiz Cepeda
Open Access Theses & Dissertations
Remote sensing using overhead imagery has critical impact to the way we understand our environment and offers crucial information for scene understanding, climate change research, disaster response, urban planning, forest management, and many other applications. At present, deep learning is increasingly used in remote sensing, but mostly borrowing algorithms developed for natural images in the computer vision community. Specific challenges arise while applying deep learning to remote sensing. These challenges include issues related to the high dimensionality and limited labeled data, security and robustness to adversarial attacks, and model generalization. In this Thesis we focus on tackling these key challenges. …
Remote Sensing Approaches To Predict Forest Characteristics In Northwest Montana, Ryan P. Rock
Remote Sensing Approaches To Predict Forest Characteristics In Northwest Montana, Ryan P. Rock
Graduate Student Theses, Dissertations, & Professional Papers
Remote sensing can be utilized by land management organizations to save money and time. Mapping vegetation using either aerial photographs or satellite imagery and the applications for forest management are of particular interest to the Montana Department of Natural Resources. In 2018, the organization began a pilot program to test the incorporation of raster analysis of remotely sensed data into their inventory program and had limited success. This analysis identified two areas of improvement: the selection method of inventory plots and the imagery used for classification and metrics. This study found that selecting inventory plots using a generalized random tessellation …
Characterizing Burn Severity Of Beetle-Killed Forest Stands Leveraging Google Earth Engine-Derived Normalized Burn Ratios, Sofronio Catalino Propios Iii
Characterizing Burn Severity Of Beetle-Killed Forest Stands Leveraging Google Earth Engine-Derived Normalized Burn Ratios, Sofronio Catalino Propios Iii
Graduate Student Theses, Dissertations, & Professional Papers
Following numerous studies, a general consensus on burn severity in forests affected by bark beetle outbreaks has not yet been achieved. The purpose of this study is to characterize burn severities in forest stands affected by mountain pine beetle (MPB) outbreaks, especially in relation to “time since outbreak”, vegetation cover, and topographic factors. This study focuses on wildfires that occurred in the northern Rocky Mountains of Idaho and Montana during the 2012 fire season within forested areas that had previously experienced prior MPB outbreaks. Remote sensing techniques were used to quantify and compare the burn severities of MPB-outbreak stands with …
Burning With Potential: Understanding The Relationship Between Biochar And Agriculture Of The Northern Glaciated Plains Ecoregion, Kaitlyn Abrahamson
Burning With Potential: Understanding The Relationship Between Biochar And Agriculture Of The Northern Glaciated Plains Ecoregion, Kaitlyn Abrahamson
Electronic Theses and Dissertations
Achieving global sustainable agriculture is one of the most incredible challenges of this century, yet many continue to try to solve this problem through the development of precision technologies. Biotechnologies, such as biochar, can perform like a precision technology while protecting agricultural land from soil erosion and fertility loss. The Northern Glaciated Plains ecoregion of the United States is little researched in the benefits from the use of biochar through improved soil nutrient capture and water retention, crop health improvements, and yield increases. The study plot has four sections of corn stover biochar and eight sections of control sections. This …