Remote Sensing Commons^™

Land Change Modeler Application:Summer Internship With Clark Labs, Siqi Cheng, Nan Ding

Sustainability and Social Justice

This paper is a description of our internship with Clark Labs in the summer of 2015. We worked as research assistants in the Land Change Modeler Application (App) project. This project aimed to display the land cover changes in the United States from 2001 to 2010, show the vulnerability in 48 states and predict changes from the yaer 2050. Our responsibility was to extract eight variables (slope, elevation, surface water, roads, high intensity land, protected areas, county subdivisions, and cultivated crops) in TerrSet, and use them in several models to test the accuracy of prediction.

The internship is a great …

The State Of Tobacco : A Remote Sensing Approach To Understanding Tobacco Crop Production In Kentucky., Laura Krauser

College of Arts & Sciences Senior Theses

Agricultural policy allows for governing bodies to better control the landscape, economy, and security of resources. Because of this power, it is essential for policy and its effects to be thoroughly understood. This study examines the Tobacco Transition Payment Program (TTPP, “tobacco buyout”), in effect from 2005 to 2014, using a mixed methods approach. The TTPP lifted the existing geographic restrictions of tobacco production and deregulated market prices formerly controlled by the government. Kentucky’s economic, social, and agricultural landscapes changed significantly in the wake of this legislation. To explore these changes, this study employs semi-structured interviews and remote sensing analyses …

An Evaluation Of Multiple Endmember Spectral Mixture Analysis Applied To Landsat 8 Oli Images For Mapping Land Cover In Southern Africa's Savanna., Fernando Ferreira Caixeta

Electronic Theses and Dissertations

Mapping land cover in southern Africa’s savannas using traditional pixel based remote sensing techniques can be very challenging due to the heterogeneity of its vegetation structure and the spectral difficulty in separating similar land covers across various land uses. In order to overcome these complications, a Multiple Endmember Spectral Mixture Analysis (MESMA) provides a potential remote sensing approach to quantify spectral variation in the physical environment at a subpixel level. The MESMA approach was applied in the study area of the Mayuni Conservancy, in Namibia. Results show that 32.3% of the study area is covered by photosynthetic vegetation (PV), 32.0% …

Global Population Distributions And The Environment : Discerning Observed Global And Regional Patterns., Jeremiah J. Nieves

Electronic Theses and Dissertations

Between 1990 to 2015, numerous groups used ancillary data about the environment surrounding populations to more accurately map global populations from standard census data. No comprehensive study has been undertaken to characterize the observed relationships between population density and ancillary data. Better understanding these relationships may produce more accurate population maps, focus resources on new datasets with a high probability of modelling importance, and lead to expanded end-user applications. This study examined these relationships by extracting variable importances from 36 independently run, country-specific population models from the WorldPop project’s population data. Covariate data describing urban/suburban extents were found to be …

Synthetic Aperture Radar Interferometry Analysis Of Ground Deformation Within The Coso Geothermal Site, California, Erik Vaughn Brawner

Graduate Theses and Dissertations

Earth’s surface movement may cause as a potential hazard to infrastructure and people. Associated earthquake hazards pose a potential side effect of geothermal activity. Modern remote sensing techniques known as Interferometric Synthetic Aperture Radar (InSAR) can measure surface change with a high degree of precision to mm scale movements. Previous work has identified a deformation anomaly within the Coso Geothermal site in eastern California. Surface changes have not been analyzed since the 1990s, allowing a decade of geothermal production impact to occur since previously assessed. In this study, InSAR data was acquired and analyzed between the years 2005 and 2010. …

Trade And Transport In Late Roman Syria, Christopher Wade Fletcher

Graduate Theses and Dissertations

Despite the relative notoriety and miraculous level of preservation of the Dead Cities of Syria, fundamental questions of economic and subsistence viability remain unanswered. In the 1950s Georges Tchalenko theorized that these sites relied on intensive olive monoculture to mass export olive oil to urban centers. Later excavations discovered widespread cultivation of grains, fruit, and beans which directly contradicted Tchalenko’s assertion of sole reliance on oleoculture. However, innumerable olive presses in and around the Dead Cities still speak to a strong tradition of olive production. This thesis tests the logistical viability of olive oil transportation from the Dead Cities to …

A New Multispectral Imaging Instrument For In-Situ Characterization Of Flocs And Colloidal Aggregates In Natural Waters, Charles R. Bostater

Ocean Engineering and Marine Sciences Faculty Publications

No abstract provided.

Using Technology To Serve The Agricultural Community In The Western Cape Province Of South Africa, Pavarni Naidoo, Lise Sandenbergh, Maud Bonato, Johann Strauss, Mike Wallace, Andre Roux, Shaheed Martin, Ilse Trautmann, Schalk Cloete

Professional Agricultural Workers Journal

Abstract

The Western Cape Department of Agriculture has a team of agricultural experts using novel approaches to address the challenges faced by South African agriculture. The objective of this paper is to describe some of the innovative research and technologies, and methods of technology transfer, used to better serve the agricultural community. The spectrum of technologies implemented includes new research on breeding (biotechnology); new approaches to conservation agriculture; remote sensing satellite and spatial information for improved decision making, such as the spatial intelligence project and FruitLook; Agricultural Integrated Management System; and technology to manage and disseminate information, such as smart …

A Comparison Of Multiple Datasets For Monitoring Thermal Time In Urban Areas Over The U.S. Upper Midwest, Cole Krehbiel, Geoffrey M. Henebry

GSCE Faculty Publications

Traditional studies of urban climate used air temperature observations from local urban/rural weather stations in order to analyze the general pattern of higher temperatures in urban areas compared with corresponding rural regions, also known as the Urban Heat Island (UHI) effect. More recently, satellite remote sensing datasets of land surface temperature have been exploited to monitor UHIs. While closely linked, air temperature and land surface temperature (LST) observations do not measure the same variables. Here we analyze land surface temperature vs.air temperature-based characterization and seasonality of the UHI and the surface UHI (SUHI) from 2003 to 2012 over the …

A General Method To Normalize Landsat Reflectance Data To Nadir Brdf Adjusted Reflectance, David P. Roy, Hankui Zhang, Junchang Ju, Jose Luis Gomez-Dans, Philip E. Lewis, Crystal Barker B. Schaaf, Qingsong Sun, Jian Li, Haiyan Huang, V. Kovalskyy

GSCE Faculty Publications

The Landsat satellites have been providing spectacular imagery of the Earth's surface for over 40 years. However, they acquire images at view angles ±7.5° from nadir that cause small directional effects in the surface reflectance. There are also variations with solar zenith angle over the year that can cause apparent change in reflectance even if the surface properties remain constant. When Landsat data from adjoining paths, or from long time series are used, a model of the surface anisotropy is required to adjust all Landsat observations to a uniform nadir view (primarily for visual consistency, vegetation monitoring, or detection of …

Sparse Coding Based Feature Representation Method For Remote Sensing Images, Ender Oguslu

Electrical & Computer Engineering Theses & Dissertations

In this dissertation, we study sparse coding based feature representation method for the classification of multispectral and hyperspectral images (HSI). The existing feature representation systems based on the sparse signal model are computationally expensive, requiring to solve a convex optimization problem to learn a dictionary. A sparse coding feature representation framework for the classification of HSI is presented that alleviates the complexity of sparse coding through sub-band construction, dictionary learning, and encoding steps. In the framework, we construct the dictionary based upon the extracted sub-bands from the spectral representation of a pixel. In the encoding step, we utilize a soft …

"Chinese Military Space Power: U.S. Department Of Defense Annual Reports, Bert Chapman

Libraries Faculty and Staff Scholarship and Research

Following instructions received from the U.S. Congress in the 2000 National Defense Authorization Act, the Department of Defense prepared an annual report on Chinese military power. This report contains classified and unclassif ied editions. Documenting Chinese military space power developments was one of the provisions in this law’s authorizing language. This article will examine how Chinese military space power documents have been described by the Department of Defense during this report's existence through 2015 and detail how members of Congress and Congressional committee hearing witnesses reacted to these developments in Congressional hearing transcripts and in Congressional debate through Fall 2015.

A Model Of The Effects Of Deforestation On Local Climate In The North Cascades, Monica R. H. Jasper

Geography and the Environment: Graduate Student Capstones

Changes in areal extent of land cover types may lead to alterations in the surface energy budget that contribute to anthropogenic climate forcing. This study examines the effects of deforestation in the Cascade Range on local temperature. Temperature sensors were installed in 14 forest stands, taking measurements for one year. Estimated tree age, circumference, and species were recorded to calculate stand density index. Satellite imagery was used to calculate shade fraction from spectral mixture analysis, which is a proxy for canopy structure and density. These data were used to construct seasonal cycles of temperature to model variation with stand density …

Stone Walls Of New York And New England, John W. Delano Phd

Atmospheric and Environmental Science Faculty Scholarship

Stone walls are an enduring testimony of the hard labors and work ethic of subsistence family farms on ~100-acre lots. Those lots had been defined by hardy teams of surveyors who used compasses and chains to define the magnetic directions and lengths of boundaries. Farmers cleared (‘improved’) large sections of their land of trees for the purpose of grazing animals and growing crops. As we venture into the deep woods today, we often encounter these forgotten stonewalls that reveal that others long ago were there. Modern airborne surveys using ‘Light Detection And Ranging’ (LiDAR) not only reveal the vast extent …

Airborne Lidar Acquisition, Post-Processing And Accuracy-Checking For A 3d Webgis Of Copan, Honduras, Jennifer Von Schwerin, Heather Richards-Rissetto, Fabio Remondino, Maria Grazia Spera, Michael Auer, Nicolas Billen, Lukas Loos, Laura Stelson, Markus Reindel

Department of Anthropology: Faculty Publications

Archaeological projects increasingly collect airborne LiDAR data to use as a remote sensing tool for survey and analysis. Publication possibilities for LiDAR datasets, however, are limited due to the large size and often proprietary nature of the data. Fortunately, web-based, geographic information systems (WebGIS) that can securely manage temporal and spatial data hold great promise as virtual research environments for working with and publishing LiDAR data. To test this and to obtain new data for archaeological research, in 2013, the MayaArch3D Project (www.mayaarch3d.org) collected LiDAR data for the archaeological site of Copan, Honduras. Results include: 1) more accurate archaeological maps, …

Accuracy Assessment Of Pictometry® Height Measurements Stratified By Cardinal Direction And Image Magnification Factor, Daniel Unger, David Kulhavy, I-Kuai Hung, Yanli Zhang

Faculty Publications

The aim of this project was to ascertain if Pictometry^® estimated height could be used in lieu of field-based height estimation. Height of a light pole measured with a telescopic height pole was compared to Pictometry^® hyperspatial 4-inch (10.2 centimeters) multispectral imagery estimated light pole height on the campus of Stephen F. Austin State University, Nacogdoches, Texas. Average percent agreement between light pole height and Pictometry^® estimated light pole height summarized by Pictometry^® image magnification factors at 100%, 125%, 150%, 200%, and 300% magnification were within 98% of light pole height with percent disagreement ranging from …

Computationally Inexpensive Landsat 8 Operational Land Imager (Oli) Pansharpening, Hankui Zhang, David P. Roy

GSCE Faculty Publications

Pansharpening algorithms fuse higher spatial resolution panchromatic with lower spatial resolution multispectral imagery to create higher spatial resolution multispectral images. The free-availability and systematic global acquisition of Landsat 8 data indicate an expected need for global coverage and so computationally efficient Landsat 8 pansharpening. This study adapts and evaluates the established, and relatively computationally inexpensive, Brovey and context adaptive Gram Schmidt component substitution (CS) pansharpening methods for application to the Landsat 8 15 m panchromatic and 30 m red, green, blue, and near-infrared bands. The intensity images used by these CS pansharpening methods are derived as a weighted linear combination …

Conterminous United States Crop Field Size Quantification From Multi-Temporal Landsat Data, Lin Yan Dr., David P. Roy

GSCE Faculty Publications

Agricultural field size is indicative of the degree of agricultural capital investment, mechanization and labor intensity, and it is ecologically important. A recently published automated computational methodology to extract agricultural crop fields from weekly 30 m Web Enabled Landsat data (WELD) time series was refined and applied to a year of Landsat 5 Thematic Mapper (TM) and Landsat 7 Enhance Thematic Mapper Plus (ETM +) acquisitions for all of the conterminous United States (CONUS). For the first time, spatially explicit CONUS field size maps and derived information are presented. A total of 4,182,777 fields were extracted with mean and median …

The Global Landsat Archive: Status, Consolidation, And Direction, Michael A. Wulder, Joanne C. White, Thomas R. Loveland, Curtis E. Woodcock, Alan S. Belward, Warren B. Cohen, Eugene A. Fosnight, Jerad Shaw, Jeffrey G. Masek, David P. Roy

GSCE Faculty Publications

New and previously unimaginable Landsat applications have been fostered by a policy change in 2008 that made analysis-ready Landsat data free and open access. Since 1972, Landsat has been collecting images of the Earth, with the early years of the program constrained by onboard satellite and ground systems, as well as limitations across the range of required computing, networking, and storage capabilities. Rather than robust on-satellite storage for transmission via high bandwidth downlink to a centralized storage and distribution facility as with Landsat-8, a network of receiving stations, one operated by the U.S. government, the other operated by a community …

Incorporating Applied Undergraduate Research In Senior To Graduate Level Remote Sensing Courses, Richard Henley, Daniel Unger, David Kulhavy, I-Kuai Hung

Faculty Publications

An Arthur Temple College of Forestry and Agriculture (ATCOFA) senior spatial science undergraduate student engaged in a multi-course undergraduate research project to expand his expertise in remote sensing and assess the applied instruction methodology employed within ATCOFA. The project consisted of performing a change detection land-use/land-cover classification for Nacogdoches and Angelina counties in Texas using satellite imagery. The dates for the imagery were spaced approximately ten years apart and consisted of four different acquisitions between 1984 and 2013. The classification procedure followed and expanded upon a series of concrete theoretical remote sensing principles, transforming the four remotely sensed raster images …