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Determining Fire Severity Of The Santa Rosa, Ca 2017 Fire, John Cortenbach, Richard Williams, Buddhika Madurapperuma 2019 California State University, Long Beach

Determining Fire Severity Of The Santa Rosa, Ca 2017 Fire, John Cortenbach, Richard Williams, Buddhika Madurapperuma

IdeaFest: Interdisciplinary Journal of Creative Works and Research from Humboldt State University

No abstract provided.


A Least Cost Analysis: Correlative Modeling Of The Chaco Regional Road System, Sean Field, Carrie Heitman, Heather Richards-Rissetto 2019 University of Notre Dame

A Least Cost Analysis: Correlative Modeling Of The Chaco Regional Road System, Sean Field, Carrie Heitman, Heather Richards-Rissetto

Anthropology Faculty Publications

During the ninth through twelfth centuries A.D., Ancestral Pueblo people constructed long, straight roads that interconnected the Chaco regional system across the San Juan Basin of northwestern New Mexico. The intent and use of these features has eluded archaeological consensus, although recent research has reiterated the occurrence of long distance timber importation to Chaco Canyon. To enhance our interpretation of these features we offer a large-scale least cost analysis wherein optimal pathways that are modeled to simulate timber importation are compared to the actual road locations. A series of least cost paths were produced through different energy allocation algorithms ...


Studying The Impact On Urban Health Over The Greater Delta Region In Egypt Due To Aerosol Variability Using Optical Characteristics From Satellite Observations And Ground-Based Aeronet Measurements, Wenzhao Li, Elham Ali, Islam Abou Al-Magd, Moustafa Mohamed Mourad, Hesham el-Askary 2019 Chapman University

Studying The Impact On Urban Health Over The Greater Delta Region In Egypt Due To Aerosol Variability Using Optical Characteristics From Satellite Observations And Ground-Based Aeronet Measurements, Wenzhao Li, Elham Ali, Islam Abou Al-Magd, Moustafa Mohamed Mourad, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

This research addresses the aerosol characteristics and variability over Cairo and the Greater Delta region over the last 20 years using an integrative multi-sensor approach of remotely sensed and PM10 ground data. The accuracy of these satellite aerosol products is also evaluated and compared through cross-validation against ground observations from the AErosol RObotic NETwork (AERONET) project measured at local stations. The results show the validity of using Multi-angle Imaging Spectroradiometer (MISR) and Moderate Resolution Imaging Spectroradiometer (MODIS) sensors on the Terra and Aqua platforms for quantitative aerosol optical depth (AOD) assessment as compared to Ozone Monitoring Instrument (OMI), Sea-viewingWide Field-of-view ...


Mountain Livelihoods In A Time Of Change: A Case Study Of Upper Mustang In Nepal, Sandesh Shrestha 2019 University of Maine

Mountain Livelihoods In A Time Of Change: A Case Study Of Upper Mustang In Nepal, Sandesh Shrestha

Electronic Theses and Dissertations

A case study was conducted in a remote Himalayan village—Yara—in the Upper Mustang region of Nepal. The goal of this study was to understand and assess the livelihood strategies of local people in the village. The study focused on understanding the socio-economic and environmental driving factors of livelihood vulnerability, prevalent livelihood activities, emergent livelihood strategies, and resulting livelihood outcomes in the village. We used multiple data generation methods, which included both qualitative social science and quantitative biophysical components. For the qualitative component, we utilized multiple data generation methods including key informant interviews, semi-structured household interviews, group discussions, and ...


The Importance Of Landscape Position Information And Elevation Uncertainty For Barrier Island Habitat Mapping And Modeling, Nicholas Matthew Enwright 2019 Louisiana State University and Agricultural and Mechanical College

The Importance Of Landscape Position Information And Elevation Uncertainty For Barrier Island Habitat Mapping And Modeling, Nicholas Matthew Enwright

LSU Doctoral Dissertations

Barrier islands provide important ecosystem services, including storm protection and erosion control to the mainland, habitat for fish and wildlife, and tourism. As a result, natural resource managers are concerned with monitoring changes to these islands and modeling future states of these environments. Landscape position, such as elevation and distance from shore, influences habitat coverage on barrier islands by regulating exposure to abiotic factors, including waves, tides, and salt spray. Geographers commonly use aerial topographic lidar data for extracting landscape position information. However, researchers rarely consider lidar elevation uncertainty when using automated processes for extracting elevation-dependent habitats from lidar data ...


Lidar-Based Sinkhole Detection And Mapping In Knox County, Tennessee, J Clint Shannon, David Moore, Yingkui Li, Cathy Olsen 2019 University of Tennessee, Knoxville

Lidar-Based Sinkhole Detection And Mapping In Knox County, Tennessee, J Clint Shannon, David Moore, Yingkui Li, Cathy Olsen

Pursuit - The Journal of Undergraduate Research at the University of Tennessee

Sinkholes are one of the major causes of damage to roads, buildings, and other infrastructure throughout the US. Sinkholes near or on roads are especially costly and occasionally deadly. Knox County and much of East Tennessee are located within karst areas (comprised of porous and soluble limestone and dolomite), deeming it at risk for sinkholes. Currently, Knox County uses contour maps to manually identify sinkholes. Supported by a geographic information system (GIS), we developed a streamlined model to identify the locations and extents of potential sinkholes using 1.3-ft resolution LiDAR (Light Detection and Ranging) data and applied it to ...


Empirical Analysis Of Urban Sprawl In Canadian Census Metropolitan Areas Using Satellite Imagery, 1986-2016, Xiaoxuan Sun 2019 The University of Western Ontario

Empirical Analysis Of Urban Sprawl In Canadian Census Metropolitan Areas Using Satellite Imagery, 1986-2016, Xiaoxuan Sun

Electronic Thesis and Dissertation Repository

Major Canadian cities have experienced rapid sprawl in the last 30 years. This dissertation presents two studies that empirically examine the causes of urban sprawl, merging census socioeconomics data and satellite imageries of 11 major Census Metropolitan Areas (CMAs). The monocentric city model and the Tiebout model are the main traditional theories explaining urban boundary changes and mobility residential. The first study focuses on the cross-sectional comparison among the 11 CMAs in 2016. In the second study, we zoom into the Toronto CMA and examine the longitudinal changes in its urban coverage at the fringe. We detect land cover/use ...


Coral Reef Change Detection In Remote Pacific Islands Using Support Vector Machine Classifiers, Justin J. Gapper, Hesham el-Askary, Erik Linstead, Thomas Piechota 2019 Chapman University

Coral Reef Change Detection In Remote Pacific Islands Using Support Vector Machine Classifiers, Justin J. Gapper, Hesham El-Askary, Erik Linstead, Thomas Piechota

Mathematics, Physics, and Computer Science Faculty Articles and Research

Despite the abundance of research on coral reef change detection, few studies have been conducted to assess the spatial generalization principles of a live coral cover classifier trained using remote sensing data from multiple locations. The aim of this study is to develop a machine learning classifier for coral dominated benthic cover-type class (CDBCTC) based on ground truth observations and Landsat images, evaluate the performance of this classifier when tested against new data, then deploy the classifier to perform CDBCTC change analysis of multiple locations. The proposed framework includes image calibration, support vector machine (SVM) training and tuning, statistical assessment ...


A Geospatial Recipe For Identifying Social Values And Fragmentation Issues Of The Friends Of The Dunes Land Trust, Buddhika Madurapperuma, Jess Barger, Melissa Collin, Christine Emerson, Sean Fleming, Brian Murphy 2019 Humboldt State University

A Geospatial Recipe For Identifying Social Values And Fragmentation Issues Of The Friends Of The Dunes Land Trust, Buddhika Madurapperuma, Jess Barger, Melissa Collin, Christine Emerson, Sean Fleming, Brian Murphy

Humboldt Journal of Social Relations

The beach and coastal sand dunes comprise a dynamic and fragile ecosystem that provides a bounty of ecological services. These lands provide protection from coastal erosion and sea level rise, and are home to a rich biodiversity of plant and animal species in addition to their recreational value. The Humboldt Coastal Nature Center and the surrounding coastal dunes (HCNC) are man-aged as a land trust by Friends of the Dunes (FOD). FOD prioritize the restoration of dune habitats and encourages public involvement through community supported education and stewardship programs, guided nature tours, and naturalist training programs. The faculty, students, and ...


Determining The Effect Of Mission Design And Point Cloud Filtering On The Quality And Accuracy Of Sfm Photogrammetric Products Derived From Suas Imagery, Daniel Shay Hostens 2019 Missouri State University

Determining The Effect Of Mission Design And Point Cloud Filtering On The Quality And Accuracy Of Sfm Photogrammetric Products Derived From Suas Imagery, Daniel Shay Hostens

MSU Graduate Theses

This research investigates the influence that various flight plan and mission design strategies for collecting small unmanned aerial system (sUAS) imagery have on the accuracy of the resulting three-dimensional models to find an optimal method to achieve a result. This research also explores the effect that using gradual selection to reduce the sparse point cloud has on product accuracy and processing details. Imagery was collected in the spring of 2018 during leaf-off conditions at six field sites along the North Fork of the White River. The aerial imagery was collected using a DJI Phantom Pro 4 sUAS. Four different image ...


Greenway Trail Viewshed Characteristics: Planning Applications Using Gis And Remote Sensing, Aric Addison Beehler 2019 Missouri State University

Greenway Trail Viewshed Characteristics: Planning Applications Using Gis And Remote Sensing, Aric Addison Beehler

MSU Graduate Theses

This study applies theoretical findings relating greenway trail viewshed characteristics to a proposed greenway trail. Utilizing geographic information systems and remote sensing techniques, this study compares the viewshed characteristics of two proposed routes to connect an existent greenway trail system to Wilson’s Creek National Battlefield in Greene County, MO. Light Detection and Ranging data is then used to map the viewshed of each route and calculate the openness and interconnectedness of each viewshed. High-resolution multispectral imagery is then used to calculate the Normalized Difference Vegetation Index measuring the “greenness” within each viewshed. Finally, parcel-level land use data is used ...


Using Remote Sensing And Gis Techniques Combined With Weather And Climate Data To Create A Deeper Understanding The Wildfire Campfire In California, Lucas Farmer 2019 Ohio Wesleyan University

Using Remote Sensing And Gis Techniques Combined With Weather And Climate Data To Create A Deeper Understanding The Wildfire Campfire In California, Lucas Farmer

Student Symposium

Wildfires have devastated the West Coast time and time again. This project takes on multiple approaches to help understand different aspects of these fires, focusing on the wildfire Campfire. The Campfire started and ended in November of 2018 in Butte County California. The first portion of the project focuses on the weather and climate of this region in California. By understanding the weather and climate of a particular area and the time at which a wildfire starts you can start to identify optimal conditions where a fire could potentially breakout. Local weather data will be gathered to look at temperature ...


Identification Of Poverty Areas Through Satellite Imagery In Buraydah City In Al Qassim Region Of Saudi Arabia, Amal A. Alfawzan 2019 Murray State University

Identification Of Poverty Areas Through Satellite Imagery In Buraydah City In Al Qassim Region Of Saudi Arabia, Amal A. Alfawzan

Scholars Week

No abstract provided.


An Evaluation Of Sentinel-1 And Sentinel-2 For Land Cover Classification, Aaron Meneghini 2019 Clark University

An Evaluation Of Sentinel-1 And Sentinel-2 For Land Cover Classification, Aaron Meneghini

International Development, Community and Environment (IDCE)

This study evaluates Sentinel-1 and Sentinel-2 remotely sensed images for tropical land cover classification. The dual polarized Sentinel-1 VV and VH backscatter images and four 10-meter multispectral bands of Sentinel-2 were used to create six land cover classification images across two study areas along the border of the Bolivian Pando Department and the Brazilian state of Acre. Results indicate that Sentinel-2 multispectral bands possess a higher overall performance in delineating land cover types than the Sentinel-1 backscatter bands. Sentinel-1 backscatter bands delineated land cover types based on their surficial properties but did not facilitate the separation of similarly textured classes ...


Multi-Sensor Data Fusion Between Radio Tomographic Imaging And Noise Radar, Christopher Vergara 2019 Air Force Institute of Technology

Multi-Sensor Data Fusion Between Radio Tomographic Imaging And Noise Radar, Christopher Vergara

Theses and Dissertations

The lack of situational awareness within an operational environment is a problem that carries high risk and expensive consequences. Radio Tomographic Imaging (RTI) and noise radar are two proven technologies capable of through-wall imaging and foliage penetration. The intent of this thesis is to provide a proof of concept for the fusion of data from RTI and noise radar. The output of this thesis will consist of a performance comparison between the two technologies followed by the derivation of a fusion technique to produce a single image. Proposals have been made for the integration of multiple-input multiple-output (MIMO) radar with ...


Impact Of Deadly Dust Storms (May 2018) On Air Quality, Meteorological, And Atmospheric Parameters Over The Northern Parts Of India, Sudipta Sarkar, Akshansa Chauhan, Rajesh Kumar, Ramesh P. Singh 2019 NASA Goddard Space Flight Center

Impact Of Deadly Dust Storms (May 2018) On Air Quality, Meteorological, And Atmospheric Parameters Over The Northern Parts Of India, Sudipta Sarkar, Akshansa Chauhan, Rajesh Kumar, Ramesh P. Singh

Mathematics, Physics, and Computer Science Faculty Articles and Research

The northern part of India, adjoining the Himalaya, is considered as one of the global hot spots of pollution because of various natural and anthropogenic factors. Throughout the year, the region is affected by pollution from various sources like dust, biomass burning, industrial and vehicular pollution, and myriad other anthropogenic emissions. These sources affect the air quality and health of millions of people who live in the Indo‐Gangetic Plains. The dust storms that occur during the premonsoon months of March–June every year are one of the principal sources of pollution and originate from the source region of Arabian ...


Wildfire Activity And Land Use Drove 20th‐Century Changes In Forest Cover In The Colorado Front Range, Kyle Rodman, Thomas T. Veblen, Sara Saraceni, Teresa B. Chapman 2019 University of Colorado Boulder

Wildfire Activity And Land Use Drove 20th‐Century Changes In Forest Cover In The Colorado Front Range, Kyle Rodman, Thomas T. Veblen, Sara Saraceni, Teresa B. Chapman

Geography Graduate Contributions

Recent shifts in global forest area highlight the importance of understanding the causes and consequences of forest change. To examine the influence of several potential drivers of forest cover change, we used supervised classifications of historical (1938–1940) and contemporary (2015) aerial imagery covering a 2932‐km2study area in the northern Front Range (NFR) of Colorado and we linked observed changes in forest cover with abiotic factors, land use, and fire history. Forest cover in the NFR demonstrated broad‐scale changes 1938–2015 and overall cover increased 7.8%, but there was notable spatial variability and many sites also experienced ...


Downscaling Smap Soil Moisture Data Using Modis Data, Le Tu 2019 Louisiana State University

Downscaling Smap Soil Moisture Data Using Modis Data, Le Tu

LSU Master's Theses

Soil moisture level is an important index in studying environmental changes. High resolution soil moisture data is in high demand for agricultural and weather forecasting purpose. Current daily large-scale soil moisture projects fail to provide sufficient resolution for medium or small region research. To acquire high-resolution soil moisture data, different kinds of methods are put into practice, including multivariate statistical regression, weight aggregation and so on. In this research, SMAP (Soil Moisture Active Passive) level 3 data with 36-km resolution are successfully downscaled by MODIS (Moderate Resolution Imaging Spectroradiometer) 1-km LST (Land Surface Temperature) product, NDVI (Difference Vegetation Index) product ...


Airborne Snow Radar Reveals High Spatial Variability In Snow Accumulation Over West Antarctica, Marissa Eileen Dattler 2019 University of Colorado at Boulder

Airborne Snow Radar Reveals High Spatial Variability In Snow Accumulation Over West Antarctica, Marissa Eileen Dattler

Atmospheric & Oceanic Sciences Graduate Theses & Dissertations

Accumulation explains a substantial portion of surface height changes and drives rates of firn compaction across the Antarctic Ice Sheet. Accumulation rates vary strongly over small (<25 km) distances, thereby affecting the representativeness of point measurements (such as ice cores) and complicating the derivation of mass changes from observed height changes of the ice sheet. Current atmospheric reanalyses, however, have grid spacings that are too coarse to resolve those variations, resulting in errors in mass change calculations. In this study, we use airborne snow radar observations to construct a new snow accumulation product across large portions of West Antarctica and the Antarctic Peninsula, guided by large-scale reanalysis accumulation. This radar-derived product reveals significant variability in accumulation. Variability in slope in mean wind direction tends to be coincident with variability in accumulation. The relationship between accumulation, topography, and wind confirms that subgrid-scale accumulation variability is driven by snow redistribution by wind.


The Effect Of Ocean Waves On Airborne Lidar Bathymetry, Bryce Howell Garby 2019 University of Colorado at Boulder

The Effect Of Ocean Waves On Airborne Lidar Bathymetry, Bryce Howell Garby

Aerospace Engineering Sciences Graduate Theses & Dissertations

Airborne lidar bathymetry, or ALB, is an active remote sensing technique capable of filling the need for topographical maps of coastal regions and other regions of shallow water. Modern ALB systems can quickly generate expansive, accurate, and high-resolution bathymetric point clouds. One of the main remaining factors limiting these systems is the effect of waves on the water surface.

This thesis focuses on the development of a comprehensive model to describe interaction between the ocean surface and a bathymetric lidar. The model is able to simulate received lidar signals for varying surface conditions and angles of incidence. From this, uncertainties ...


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