Digital Commons Network^™

Landfill Elevated Internal Temperature Detection And Landfill Fire Index Assessment For Fire Monitoring, Aurora Musilli

Theses and Dissertations

Landfill fires are becoming a real threat to both people and environment due to lack of predictions and control methods. Processing of the infrared band from level-1 satellite images was employed and decades worth of archived data from USGS Earth Explorer databases were analyzed to obtain surface temperature values of Atlantic Waste Landfill, Virginia and Bridgeton Landfill, Missouri. Multitemporal thermal maps and frequency of maxima analysis maps of these two landfills showed the hotspots spreading through the waste site. A Landfill Fire Index (LFI) was created by investigating eight factors that give information about the hazardousness of the landfill conditions …

Vicarious Calibration Of Suas Thermal Imagery For Scientific Remote Sensing Applications [B53h-0607], Alfonso F. Torres-Rua

AggieAir Presentations

Small Unmanned Aerial Systems (sUAS) have become an accessible technology for collection of spatially distributed temperature data at fine resolution. Nevertheless, lack of standard procedures for atmospheric temperature correction can have an adverse impact on the conclusions and replicability of studies using this technology. This work presents a vicarious calibration methodology for sUAS thermal imagery traceable back to NIST standards. For this methodology, a 3-yr. data collection campaign with a sUAS technology, called “AggieAir”, developed at the Utah Water Research Laboratory, was performed under different daytime conditions. A comparison between original and vicarious calibration for the sUAS thermal imagery is …

Assessment Of Surface Soil Moisture Using High-Resolution Multi-Spectral Imagery And Artificial Neural Networks, Leila Hassan-Esfahani, Alfonso Torres-Rua, Austin Jensen, Mac Mckee

Leila Hassan-Esfahani

Many crop production management decisions can be informed using data from high-resolution aerial images that provide information about crop health as influenced by soil fertility and moisture. Surface soil moisture is a key component of soil water balance, which addresses water and energy exchanges at the surface/atmosphere interface; however, high-resolution remotely sensed data is rarely used to acquire soil moisture values. In this study, an artificial neural network (ANN) model was developed to quantify the effectiveness of using spectral images to estimate surface soil moisture. The model produces acceptable estimations of surface soil moisture (root mean square error (RMSE) = …

Guidance Index For Shallow Landslide Hazard Analysis, Cheila Cullen

Dissertations, Theses, and Capstone Projects

Rainfall-induced landslides are one of the most frequent hazards on slanted terrains. They lead to considerable economic losses and fatalities worldwide. Intense storms with high-intensity and long-duration rainfall have high potential to trigger rapidly moving soil masses due to changes in pore water pressure and seepage forces. Nevertheless, regardless of the intensity-duration of the rainfall, shallow landslides are influenced by antecedent soil moisture conditions. To the present day, no system exists that dynamically interrelates these two factors.

This work establishes a relationship between antecedent soil moisture and rainfall expressed in the form of a Shallow Landslide Index (SLI) at 1km …

The Knowledge-Based Analysis On Medium Resolution Images Of Remote Sensing To Extraction Information Land Use Type Scs-Cn, The Case Study On Grompol Watershed, Puguh Dwi Raharjo, Totok Gunawan, Mohammad Pramono Hadi

Makara Journal of Technology

Remote sensing imagery Landsat-8 is one image that has a good temporal resolution; in addition to the availability of data, this image can be obtained free of charge. Land cover type SCS-CN is part of a unit of land that affects runoff. The use of medium resolution imagery in reducing the SCS-CN land use type is considered relatively difficult, and it yields less good accuracy. Limitations on multispectral classification only rely on facts derived from spectral reflection, so that the two data are the same since different characteristic results are not so good. This study aims to determine the accuracy …

Developement Of Data Fusion Methods For An Improved Estimation Of Soil Moisture, Felix Linde

International Congress on Environmental Modelling and Software

This talk presents recent work on data fusion methods applied to the estimation of soil moisture by means of remote sensing. Particularly in research dealing with landscapes and agriculture there is a need for spatially and temporally resolved estimation of soil moisture from local to regional level and beyond. The methods to evaluate the water content of the soil range from direct measurements, optical and microwave remote sensing to modeling based on precipitation measurements. Usually the availability of the specific data defines the used method. The uncertainties connected to each way of estimation vary with weather conditions, region and data …

A Centralized Management System For Raster Data, Felix Linde, Ralf Wieland, Karin Groth

International Congress on Environmental Modelling and Software

We present a concept for a system to manage and distribute geo-referenced raster data from multiple possible sources on the institute level. The core concept is to centralize all import routines for data from different sources and formats, store the information in a common data format and distribute the needed information for research purposes upon request. By using hdf5 files, it can be assured that geo-spatial data is always kept in close connection with the corresponding meta-data. Furthermore this approach builds a technical basis for enhancing data fusion methods by allowing the use of common analysis routines, regardless of the …

Assimilation Of Sar And Optical Data Into An Agro-Meteorological Model For Monitoring Yield Of Corn, Maël Ameline, Rémy Fieuzal, Julie Betbeber, Jean-Franҫois Berthoumieu, Frédéric Baup

International Congress on Environmental Modelling and Software

This study aims to assess the contribution of SAR and optical satellite images to estimate corn biophysical parameters and crop yield at field scale. Satellite data are assimilated into a simple agro-meteorological model named SAFY-WB (Simple Algorithm For Yield estimates combined with a Water Balance model), in order to simulate leaf area index, dry mass and yield. The method has been assessed thanks to data collected over two study areas (both located in the South-West of France), during two experimental campaigns: MCM’10 and MCM’15 (Multispectral Crop Monitoring), respectively performed in 2010 and 2015. SAR backscattering coefficients were acquired in the …

Quantifying Computer Vision Model Quality Using Various Processing Techniques, Samantha Anna Ruggles

Theses and Dissertations

Recently, the use of unmanned aerial vehicles (UAVs) has increased in popularity across several industries. Most notable, however, is the impact that this technology has had in research at academic institutions worldwide. As the technology for UAVs has improved, with that comes easier to operate, more accessible equipment. UAVs have been used in various types of applications and are quickly becoming a preferred method of studying and analyzing a site. Currently, the most common use of a UAV is to monitor a location of interest to a researcher that is difficult to gain access to otherwise. The UAV can be …

Analyzing Irrigation District Water Productivity By Benchmarking Current Operations Using Remote Sensing And Simulation Of Alternative Water Delivery Scenarios, Jonna D. Van Opstal

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

The competition for fresh water is vastly increasing particularly in semi-arid areas. Agricultural irrigation areas are urged to decrease their water use, being the largest consumer of fresh water in these areas. Improvements in irrigation management aim at increasing crop production whilst maintaining or decreasing water use. The analysis of water productivity at the irrigation district scale is challenging due to spatial heterogeneity between fields and temporal variability between growing seasons.

This dissertation makes use of satellite-based remote sensing imagery and an irrigation system simulation model to determine the water management at different spatial scales from field scale to the …

Estimation Of Surface Soil Moisture In Irrigated Lands By Assimilation Of Landsat Vegetation Indices, Surface Energy Balance Products, And Relevance Vector Machines, Alfonso F. Torres-Rua, Andres M. Ticlavilca, Roula Bachour, Mac Mckee

Civil and Environmental Engineering Faculty Publications

Spatial surface soil moisture can be an important indicator of crop conditions on farmland, but its continuous estimation remains challenging due to coarse spatial and temporal resolution of existing remotely-sensed products. Furthermore, while preceding research on soil moisture using remote sensing (surface energy balance, weather parameters, and vegetation indices) has demonstrated a relationship between these factors and soil moisture, practical continuous spatial quantification of the latter is still unavailable for use in water and agricultural management. In this study, a methodology is presented to estimate volumetric surface soil moisture by statistical selection from potential predictors that include vegetation indices and …

Estimating The Probability Of Vegetation To Be Groundwater Dependent Based On The Evaluation Of Tree Models, Isabel C. Pérez Hoyos, Nir Y. Krakauer, Reza Khanbilvardi

Publications and Research

Groundwater Dependent Ecosystems (GDEs) are increasingly threatened by humans’ rising demand for water resources. Consequently, it is imperative to identify the location of GDEs to protect them. This paper develops a methodology to identify the probability of an ecosystem to be groundwater dependent. Probabilities are obtained by modeling the relationship between the known locations of GDEs and factors influencing groundwater dependence, namely water table depth and climatic aridity index. Probabilities are derived for the state of Nevada, USA, using modeled water table depth and aridity index values obtained from the Global Aridity database. The model selected results from the performance …

A Review Of Advances In The Identification And Characterization Of Groundwater Dependent Ecosystems Using Geospatial Technologies, Isabel C. Pérez Hoyos, Nir Y. Krakauer, Reza Khanbilvardi, Roy A. Armstrong

Publications and Research

Groundwater Dependent Ecosystem (GDE) protection is increasingly being recognized as essential for the sustainable management and allocation of water resources. GDE services are crucial for human well-being and for a variety of flora and fauna. However, the conservation of GDEs is only possible if knowledge about their location and extent is available. Several studies have focused on the identification of GDEs at specific locations using ground-based measurements. However, recent progress in remote sensing technologies and their integration with Geographic Information Systems (GIS) has provided alternative ways to map GDEs at a much larger spatial extent. This paper presents a review …

Ecosystem Evapotranspiration: Challenges In Measurements, Estimates, And Modeling, D.M. Amatya, Suat Irmak, P. Gowda, G. Sun, J.E. Nettles, K.R. Douglas-Mankin

Department of Biological Systems Engineering: Papers and Publications

Evapotranspiration (ET) processes at the leaf to landscape scales in multiple land uses have important controls and feed backs for local, regional, and global climate and water resource systems. Innovative methods, tools, and technologies for improved understanding and quantification of ET and crop water use are critical for adapting more effective management strategies to cope with increasing demand for freshwater resources under global climate change. This article introduces an ASABE Special Collection of 12 articles on ET monitoring and modeling research for multiple land uses and scales. The collection focuses on recent advances in four critical topical areas: (1) reference …

Ecosystem Evapotranspiration: Challenges In Measurements, Estimates, And Modeling, D.M. Amatya, Sibel Irmak, P. Gowda, G. Sun, J.E. Nettles, K.R. Douglas-Mankin

Department of Biological Systems Engineering: Papers and Publications

Evapotranspiration (ET) processes at the leaf to landscape scales in multiple land uses have important con- trols and feedbacks for local, regional, and global climate and water resource systems. Innovative methods, tools, and technologies for improved understanding and quantification of ET and crop water use are critical for adapting more effective management strategies to cope with increasing demand for freshwater resources under global climate change. This article introduces an ASABE Special Collection of 12 articles on ET monitoring and modeling research for multiple land uses and scales. The collection focuses on recent advances in four critical topical areas: (1) reference …