Social and Behavioral Sciences Commons^™

Winter Wheat Biomass And Yield Estimation Using Unmanned Aerial Vehicle-Based And Venµs Satellite Imagery With Machine Learning Techniques, Marco S. Chiu Mr.

Electronic Thesis and Dissertation Repository

Monitoring crop productivity is crucial in precision agriculture, often using biomass and yield as metrics to measure crop health and growth status. This thesis aims to predict dry above-ground biomass using Unmanned Aerial Vehicle (UAV) multispectral imagery, derived vegetation indices (VI), plant height, leaf area index (LAI), and plant nutrient content ratios. Additionally, the thesis tests the viability of VENμS satellite data as an alternative to other popular multispectral satellite data for predicting winter wheat yield. Conducted in two winter wheat fields in southwestern Ontario, Canada, the study employed Random Forest (RF) and Support Vector Regression (SVR) machine learning models …

A Holistic Approach To Ecosystem Decline In Mosquito Lagoon, Florida, Stephanie A. Insalaco

Doctoral Dissertations

Examining the decline of an ecosystem should be done through a holistic and interdisciplinary lens to fully understand all factors which might contribute to this ecosystem imbalance. This dissertation focuses on the declining ecosystem of Mosquito Lagoon, Florida which started to see a significant decrease in health since the early 2010s due to a variety of factors. The dissertation is separated into three papers: quantifying the total decline of seagrass in Mosquito Lagoon from 2000 to 2020, the effects of this seagrass and overall ecosystem decline on stakeholders’ livelihoods, and the regrowth of seagrass in 2023 after the events of …

Staying Fresh: Unconventional Approaches Towards Advancing Energy Sustainability, Water Resources, And Community Resiliency In The Southwestern United States, Judith Hoyt

Open Access Theses & Dissertations

This dissertation addresses critical challenges in urban heat management, sustainable energy resource utilization, and water quality communication through three studies. Study 1 investigates the impact of roof color on urban heat islands in Tucson, Arizona where approximately 70% of roofs display high albedo (i.e., light) colors. Energy consumption simulations conducted indicate that converting dark- to light-colored roofs could save Tucson approximately $1,400,000 annually in energy costs, highlighting the potential of cool roofs for energy savings and improved thermal comfort. Study 2 assesses the sources of lithium in subsurface waters in West Texas and South Central New Mexico. Water chemistry data …

Remotely Sensed Early Warning Of Algal Blooms In An Eastern Nebraska Reservoir: A Comparison Of Temporal And Spatial Indicators, Mercy Kipenda

School of Natural Resources: Dissertations, Theses, and Student Research

Cyanobacterial harmful algal blooms (CyanoHABs) detrimentally affect human, animal, and ecosystem health. Remotely sensed early warning systems for cyanoHABs in inland lakes could contribute to more proactive water quality monitoring and help mitigate negative impacts. Advances in freely available remote sensing imagery, with finer spatial, temporal, and spectral resolutions, present new opportunities for the development and comparative analysis of methods to detect sudden deterioration in lake water quality. In this thesis, I compared and tested for temporal and spatial early warning signals of cyanoHABs in field-based and remotely sensed datasets from 2019 to 2023 in Pawnee Lake in southeast Nebraska, …

A Multi-Metric Approach To Fay-Herriot Small Area Estimation Of Forests, Zachary Dorminey

Masters Theses

Forest managers are tasked with decisions regarding silvicultural practices that require detailed information about the environments they serve. Managing complex structures like forests demands consideration of many interrelated variables characterizing the overall condition of a forest. Success in these management initiatives includes not only maximum production from the timber assets, but also proof that these operations accord with modern sustainable practices. Small area estimates obtained from a National Forest Inventory (NFI) dataset lack necessary statistical certainty due to a relatively small sample of forest plots. These inventory datasets are spatially sparse, yet attribute-rich. Given these properties, research efforts in this …

Study The Global Earthquake Patterns That Follow The St. Patrick’S Day Geomagnetic Storms Of 2013 And 2015, Dimitar Ouzounov, Galina Khachikyan

Mathematics, Physics, and Computer Science Faculty Articles and Research

A response of global seismic activity to the geomagnetic storms of St. Patrick’s Day (March 17) in 2013 and 2015 is investigated. These two storms occurred during nearly identical storm sudden commencement times and similar solar flux levels. We have revealed a rather similar pattern of the most substantial earthquakes that have occurred since these storms. Two major crust continental earthquakes, in Iran (M = 7.7), 16 April 2013, and in Nepal (M = 7.8), 25 April 2015, have occurred with a time delay of ~30 and ~39 days after geomagnetic storm onsets in 2013 and 2015, respectively. After that, …

A Comparative Analysis Of Openet For Evaluating Evapotranspiration In California Almond Orchards, Kyle Knipper, Martha Anderson, Nicholas Bambach, Forrest Melton, Zac Ellis, Yun Yang, John Volk, Andrew J. Mcelrone, William Kustas, Matthew Roby, Will Carrara, Sebastian Castro, Ayse Kilic, Joshua B. Fisher, Anderson Ruhoff, Gabriel B. Senay, Charles Morton, Sebastian Saa, Richard G. Allen

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

The almond industry in California faces water management challenges that are being exacerbated by droughts, climate change, and groundwater sustainability legislation. The Tree-crop Remote sensing of Evapotranspiration eXperiment (T-REX) aims to explore opportunities to improve precision irrigation management for woody perennial cropping systems. Almond orchards in the California Central Valley were equipped with eddy covariance flux measurements to evaluate satellite remote sensing-based evapotranspiration (RSET) models. OpenET provides high-resolution (30-m spatial and daily temporal) RSET data, synthesizing decades of research for practical water management. This study provides an evaluation of OpenET performance at six almond sites covering a large range in …

Integrating Remote Sensing And Machine Learning To Determine Past, Current And Future Crop Water Use From The Nubian Sandstone Aquifer System, Moaz Ishag

Department of Biological Systems Engineering: Dissertations and Theses

The agriculture sector is a significant consumer of water, and sustainable water use begins with monitoring irrigated land. Delineating irrigated land supports decision-makers and promotes the sustainable use of this crucial resource. This study focuses on the Nubian Sandstone Aquifer System (NSAS), the largest aquifers in the world, which spans Egypt, Sudan, Libya, and Chad. The study aims to: 1) quantify the increase in irrigated hectares (both pivot and non-pivot) from 2000-2001 to 2023-2024; 2) identify major irrigated crop types and their water requirements; and 3) quantify groundwater crop water use from the NSAS using remote sensing via the Google …

Flood Hazard And Vulnerability Mapping Using Deep Learning And Earth Observation Data, Nafiseh Ghasemian Sorboni

Electronic Thesis and Dissertation Repository

Urban flood risk assessment is critical for safeguarding lives and infrastructure amid frequent floods. Recent advances in Earth Observation (EO) data enable the creation of flood risk maps with enhanced spatial and temporal resolutions. While traditional Machine Learning (ML) algorithms lack optimal feature selection, Deep Learning (DL) algorithms excel in extracting complex patterns from EO data. This dissertation delves into the estimation of flood hazard and vulnerability within urban environments through DL algorithms and EO data. Several innovative methodologies were proposed: 1) A Convolutional Siamese Network (CSN) was devised for urban flood mapping using SAR satellite imagery. This method employed …

Agricultural Groundcover Update April 2024, Justin Laycock

Natural resources published reports

• In April, over 12% (1,876,000 ha) of the arable farmland in the south-west of Western Australia had less than 50% vegetative groundcover, which is inadequate to prevent wind erosion.
• Northern grainbelt had the highest risk of wind erosion and over 26% of this farmland had inadequate groundcover, predominantly found on landscapes known for sandy soils.
• About 1.5% (238,900 ha) of arable land had a high to very high risk of wind erosion because groundcover was less than 30%.

Agricultural Groundcover Update May 2024, Justin Laycock

Natural resources published reports

• In May, over 9% (1,410,000 ha) of the arable farmland in the south-west of Western Australia had less than 50% vegetative groundcover, which is inadequate to prevent wind erosion.
• Northern grainbelt had the highest risk of wind erosion and over 26% of this farmland had inadequate groundcover, predominantly found on landscapes known for sandy soils.
• About 1.3% (208,900 ha) of arable land had a high to very high risk of wind erosion because groundcover was less than 30%. Half of this land was in the West Midlands Ag Soil Zone.

From Pixels To Plants: Remote Sensing Of California Invasive Plants, Kenneth Rangel

Master's Projects and Capstones

Invasive plants cause significant impacts to ecosystems, the economy, and human health. California has experienced significant plant invasions and is well suited to future invasion because of its Mediterranean climate and human disturbance. Eradication or control of invasive plant species requires a detailed understanding of their spatial distribution, which typically involves on the ground surveys that can be expensive or inconsistent. Remote sensing offers a potential alternative or supplement to in-person invasive plant mapping. This study performed a comparative analysis of 41 remote sensing studies that mapped the distribution of California invasive plants. I found that while high spectral resolution …

Managing The Environmental And Socio-Economic Impacts Of Rohingya Refugees In Bangladesh, Mousume Azad

Master's Projects and Capstones

In August 2017, nearly 1 million Rohingya people fled to Bangladesh to save their lives from the genocide inflicted by the military of Myanmar. At present, over 1.3 million Rohingyas are staying at Cox’s Bazar, Bangladesh, in 34 overcrowded refugee camps. This research examined the environmental impacts especially the change in vegetation cover and land surface temperature as well as the socioeconomic alteration of the host country after the refugee influx. The research found a 5488 ha or 9.58% decrease in forest area, accompanied by an 8.25% increase in refugee settlement areas, an increase in average land surface temperature within …

Planetary Exploration Via Fully Automatic Topological Structure Extraction Using Adaptive Resonance, Jonathan Kissi

Electronic Thesis and Dissertation Repository

Renewed interest in Solar System exploration, along with ongoing improvements in computing, robotics and instrumentation technologies, have reinforced the case for remote science acquisition systems development in space exploration. Testing systems and procedures that allow for autonomously collected science has been the focus of analogue field deployments and mission planning for some time, with such systems becoming more relevant as missions increase in complexity and ambition. The introduction of lidar and laser scanning-type instruments into the geological and planetary sciences has proven popular, and, just as with the established image and photogrammetric methods, has found widespread use in several research …

Microwave Emission Model Parameter Tuning For Surface Soil Moisture Retrieval Using Uav-Mounted Dual Polarization L-Band Radiometer, Santiago Hoyos Echeverri

Open Access Theses & Dissertations

Surface soil moisture retrieval from L-band brightness temperature has been developed for the past decades due to multiple beneficial characteristics of 1-2 GHz frequency bands for remote sensing of the environment. Numerous microwave emission models have been proposed for tower and satellite-based operations with successful retrieval of surface soil moisture and vegetation water content. As a result of the development of cost-effective and low-mass microwave L-band radiometers such as the Portable L-band Radiometer (PoLRa), surface soil moisture surveying traditionally developed by satellite missions SMOS and SMAP can now be developed at local scales, bringing these operations to commercial small unmanned …

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 …

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 World Reborn: A Phenomenological Study Of 12th Unnamed Cave, Tennessee Through Photogrammetry, 3d Gis, And Archaeoacoustics, Jordan L. Schaefer

Doctoral Dissertations

Traditional methods for analyzing rock art locations within caves tend to rely on two-dimensional (2D) mapping methods. While useful, these techniques do not effectively capture the phenomenology, or experiential characteristics, of caves as physical spaces. This dissertation therefore adopts a three-dimensional perspective to study the distribution of rock art inside 12th Unnamed Cave, a dark-zone cave art site in Tennessee’s Cumberland Plateau region, with the goal of identifying why certain types of images appear in their respective contexts. Photogrammetry is used to produce a three-dimensional (3D) model of the cave’s interior, on which surveyed rock art locations are georeferenced for …

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 …

Pre-Columbian Soil Management, Settlement, And Land Use In Amazonia: Insights Using Micro-Regional Predictive Modelling In Gurupá, Brazil., Lauren Zacks

Electronic Theses and Dissertations

The results of a micro-regional predictive model of terra preta sites in the municipality of Gurupá are presented here. A Maximum Entropy approach was selected and modified to fit a presence-background model, rather than a presence-absence model typical of binary classifications. 13 known terra preta sites were used as input samples for the relative suitability model, with explanatory variables in the respective categories of topography, hydrology, soil type and vegetation index. A 30m spatial resolution DEM served as the basis for the former two categories, while additional TauDEM analysis was performed for the hydrology category. A Sentinel-2A mosaicked quarterly composite …

Agricultural Groundcover Update March 2024, Justin Laycock

Natural resources published reports

• In March, over 10% (1,577,000 ha) of the arable farmland in the south-west of Western Australia had less than 50% vegetative groundcover, which is inadequate to prevent wind erosion.

• The northern grainbelt had the highest risk of wind erosion and over 20% of this farmland had inadequate groundcover.

• About 1.3% (191,000 ha) of arable land had a high to very high risk of wind erosion because groundcover was less than 30%.

Fire Potential In Arkansas Through The Lens Of The Keetch-Byram Drought Index, Charles Daly Steward

Graduate Theses and Dissertations

Vegetation fires are a complicated phenomenon to predict both the occurrence and intensity. In the United States, fire behavior has been widely studied in high-risk regions such as in the American West, but fires also occur regularly in states that receive greater levels of precipitation, such as Arkansas. Fires are an expensive and dangerous environmental problem. As climate trends caused by global warming continue to progress, quantifying the extent to which climate factors influence their occurrence in Arkansas would be useful for land management, public safety, public health, agriculture, urban development, and to advance the science of fire-climate dynamics in …

Evaluation Of The Extent Of Floods In 2022 In Different Land Cover And Land Use Classes In Sindh Province, Pakistan Using Sentinel-1 And Sentinel-2 Imageries, Alina Shrestha

UNLV Theses, Dissertations, Professional Papers, and Capstones

Floods are one of the most frequent and most devastating natural disasters, which cause widespread destruction and pose significant risks to human life, infrastructure, and the environment. Advancement in remote sensing technologies and methodologies have demonstrated their efficacy in disaster-related applications, such as the detection, monitoring, and analysis of floods. This study explores the utilization of Synthetic Aperture Radar (SAR) and optical imagery for flood extent mapping and studying the extent of flood over various land cover and land use classes in Pakistan's Sindh province, utilizing the cloud computing power of Google Earth Engine. The change detection method identified extensive …

Community Conservation In Madagascar: Aligning Local Livelihoods And Biodiversity Protection, Jane Slentz-Kesler

Geography Honors Projects

The management of natural resources in developing countries is of utmost importance as both high levels of biodiversity and local livelihoods often hang in the balance. The debate in conservation spheres often centers on 'fortress' versus 'community-based' conservation approaches, one emphasizing nature preservation and the other emphasizing the needs and empowerment of local communities in resource management. This study evaluates the management approach of a rainforest in northeast Madagascar, asking: how effectively does the COMATSA Sud protected area management system both preserve critical forest cover and provide for the local community? This research employs a mixed-methods approach, using interviews and …

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 …

Assessment Site Attraction In Gunung Mas Agrotourism, Bogor Regency, West Java, Sarah Putri Fitriani, Masita Dwi Mandini Manessa, Mangapul Parlindungan Tambunan, Rudy Parluhutan Tambunan

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

Gunung Mas Agrotourism is a sub-unit managed by PT Perkebunan Nusantara VIII (PTPN VIII) under the management of Agrotourism and is the largest contributor to PTPN VIII's revenue, which is 70% and most of it comes from the tourism sector. The facilities and activities offered by Gunung Mas Agrotourism also vary, from lodging, restaurants, tourist attractions, and supporting facilities to meet the tourists' needs. To find out the magnitude of tourist interest in tourist attractions, an analysis of the attractiveness of tourist attractions is needed. This study aims to assess tourist attractions based on tourist preferences as well as the …

Kinematic And Dynamic Structure Of The 18 May 2020 Squall Line Over South Korea, Wishnu Agum Swastiko, Chia-Lun Tsai, Seung Hee Kim, Gyuwon Lee

Institute for ECHO Articles and Research

The diagonal squall line that passed through the Korean Peninsula on the 18 May 2020 was examined using wind data retrieved from multiple Doppler radar synthesis focusing on its kinematic and dynamic aspects. The low-level jet, along with warm and moist air in the lower level, served as the primary source of moisture supply during the initiation and formation process. The presence of a cold pool accompanying the squall line played a role in retaining moisture at the surface. As the squall line approached the Korean Peninsula, the convective bands in the northern segment (NS) and southern segment (SS) of …

Nowcasting Heavy Rainfall With Convolutional Long Short-Term Memory Networks: A Pixelwise Modeling Approach, Yi Victor Wang, Seung Hee Kim, Geunsu Lyu, Choeng-Lyong Lee, Soorok Ryu, Gyuwon Lee, Ki-Hong Min, Menas C. Kafatos

Institute for ECHO Articles and Research

The recent decades have seen an increasing academic interest in leveraging machine learning approaches to nowcast, or forecast in a highly short-term manner, precipitation at a high resolution, given the limitations of the traditional numerical weather prediction models on this task. To capture the spatiotemporal associations of data on input variables, a deep learning (DL) architecture with the combination of a convolutional neural network and a recurrent neural network can be an ideal design for nowcasting rainfall. In this study, a long short-term memory (LSTM) modeling structure is proposed with convolutional operations on input variables. To resolve the issue of …

Agricultural Groundcover Update February 2024, Justin Laycock

Natural resources published reports

• About 92% of the grainbelt had adequate (more than 50%) vegetative groundcover to prevent wind erosion in February 2024.

• Nearly 8% of the grainbelt (1,193,400 ha) had less than 50% groundcover, which is inadequate to prevent wind erosion.

• The northern grainbelt had the highest risk of wind erosion and 16.5% of this farmland had inadequate groundcover.

• Less than 0.7% of the grainbelt had a high to very high risk of wind erosion because groundcover was less than 30%.