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Full-Text Articles in Life Sciences
The Influence Of Burn Severity On Post-Fire Spectral Recovery Of Three Fires In The Southern Rocky Mountains, Jaclyn Guz, Florencia Sangermano, Dominik Kulakowski
The Influence Of Burn Severity On Post-Fire Spectral Recovery Of Three Fires In The Southern Rocky Mountains, Jaclyn Guz, Florencia Sangermano, Dominik Kulakowski
Geography
Increased wildfire activity and altered post-fire climate in the Southern Rocky Mountains has the potential to influence forest resilience. The Southern Rocky Mountains are a leading edge of climate change and have experienced record-breaking fires in recent years. The change in post-fire regeneration and forest resilience could potentially include future ecological trajectories. In this paper, we examined patterns of post-fire spectral recovery using Landsat time series. Additionally, we utilized random forest models to analyze the impact of climate and burn severity on three fire events in the Southern Rocky Mountains. Fifteen years following the fires, none of the burned stands …
Aquatic Habitat Changes Along The Arkansas River (Supporting Data And Code), Mike Rhodes, Jonathan Spurgeon, Wes Neal, Kristine Evans
Aquatic Habitat Changes Along The Arkansas River (Supporting Data And Code), Mike Rhodes, Jonathan Spurgeon, Wes Neal, Kristine Evans
College of Forest Resources Publications and Scholarship
The associated code and data are supporting information for an assessment of large-scale changes in aquatic habitats within the varying pools of the Arkansas River, Arkansas, USA following impoundment of the river as part of the McClellan–Kerr Arkansas River Navigation System. We used a combination of Landsat satellite data (30 m resolution) from 1984-2016 and the European Commission Joint Research Center’s (JRC) Global Surface Water dataset (GSW) to assess changes in water availability by aquatic habitat category and river pool in the Arkansas River system. Analysis was completed using Google Earth Engine, with code available in this repository. We also …
Using Multi-Indices Approach To Quantify Mangrove Changes Over The Western Arabian Gulf Along Saudi Arabia Coast, Wenzhao Li, Hesham El-Askary, Mohamed A. Qurban, Jingjing Li, K. P. Manikandan, Thomas Piechota
Using Multi-Indices Approach To Quantify Mangrove Changes Over The Western Arabian Gulf Along Saudi Arabia Coast, Wenzhao Li, Hesham El-Askary, Mohamed A. Qurban, Jingjing Li, K. P. Manikandan, Thomas Piechota
Mathematics, Physics, and Computer Science Faculty Articles and Research
Mangroves habitat present an important resource for large coastal communities benefiting from activities such as fisheries, forest products and clean water as well as protection against coastal erosion and climate related extreme events. Yet they are increasingly threatened by natural pressure and anthropogenic activities. We observed an inaccurate distribution of mangroves over the Western Arabian Gulf (WAG) which is a vital habitat and resource for the local ecosystem, according to the United Stated Geological Survey (USGS) mangrove database through spectral analysis. Change detection analysis is conducted on mangrove forests along the Saudi Arabian coast of the WAG for the years …
Spatiotemporal Patterns Of Unburned Areas Within Fire Perimeters In The Northwestern United States From 1984 To 2014, Arjan J. H. Meddens, Crystal A. Kolden, James A. Lutz, John T. Abatzoglou, Andrew T. Hudak
Spatiotemporal Patterns Of Unburned Areas Within Fire Perimeters In The Northwestern United States From 1984 To 2014, Arjan J. H. Meddens, Crystal A. Kolden, James A. Lutz, John T. Abatzoglou, Andrew T. Hudak
Wildland Resources Faculty Publications
A warming climate, fire exclusion, and land cover changes are altering the conditions that produced historical fire regimes and facilitating increased recent wildfire activity in the northwestern United States. Understanding the impacts of changing fire regimes on forest recruitment and succession, species distributions, carbon cycling, and ecosystem services is critical, but challenging across broad spatial scales. One important and understudied aspect of fire regimes is the unburned area within fire perimeters; these areas can function as fire refugia across the landscape during and after wildfire by providing habitat and seed sources. With increasing fire activity, there is speculation that fire …
Rapid Land Cover Map Updates Using Change Detection And Robust Random Forest Classifiersrapid Land Cover Map Updates Using Change Detection And Robust Random Forest Classifiers, Konrad J. Wassels, Frans Van Den Bergh, David P. Roy, Brian P. Salmon, Karen C. Steenkemp, Bryan Macalister, Derick Swanepoel, Debbie Jewitt
Rapid Land Cover Map Updates Using Change Detection And Robust Random Forest Classifiersrapid Land Cover Map Updates Using Change Detection And Robust Random Forest Classifiers, Konrad J. Wassels, Frans Van Den Bergh, David P. Roy, Brian P. Salmon, Karen C. Steenkemp, Bryan Macalister, Derick Swanepoel, Debbie Jewitt
GSCE Faculty Publications
The paper evaluated the Landsat Automated Land Cover Update Mapping (LALCUM) system designed to rapidly update a land cover map to a desired nominal year using a pre-existing reference land cover map. The system uses the Iteratively Reweighted Multivariate Alteration Detection (IRMAD) to identify areas of change and no change. The system then automatically generates large amounts of training samples (n > 1 million) in the no-change areas as input to an optimized Random Forest classifier. Experiments were conducted in the KwaZulu-Natal Province of South Africa using a reference land cover map from 2008, a change mask between 2008 and …
Incorporating Applied Undergraduate Research In Senior To Graduate Level Remote Sensing Courses, Richard Henley, Daniel Unger, David Kulhavy, I-Kuai Hung
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 …
Using An Obcd Approach And Landsat Tm Data To Detect Harvesting On Nonindustrial Private Property In Upper Michigan, Riccardo Tortini, Audrey L. Mayer, Pieralberto Maianti
Using An Obcd Approach And Landsat Tm Data To Detect Harvesting On Nonindustrial Private Property In Upper Michigan, Riccardo Tortini, Audrey L. Mayer, Pieralberto Maianti
College of Forest Resources and Environmental Science Publications
Forest dynamics influence climate, biodiversity, and livelihoods at multiple scales, yet current resource policy addressing these dynamics is ineffective without reliable land use land cover change data. The collective impact of harvest decisions by many small forest owners can be substantial at the landscape scale, yet monitoring harvests and regrowth in these forests is challenging. Remote sensing is an obvious route to detect and monitor small-scale land use dynamics over large areas. Using an annual series of Landsat-5 Thematic Mapper (TM) images and a GIS shapefile of property boundaries, we identified units where harvests occurred from 2005 to 2011 using …
Quantifying Land Cover Change Due To Petroleum Exploration And Production In The Haynesville Shale Region Using Remote Sensing, Daniel Unger, I-Kuai Hung, Kenneth W. Farrish, Darinda Dans
Quantifying Land Cover Change Due To Petroleum Exploration And Production In The Haynesville Shale Region Using Remote Sensing, Daniel Unger, I-Kuai Hung, Kenneth W. Farrish, Darinda Dans
Faculty Publications
The Haynesville Shale lies under areas of Louisiana and Texas and is one of the largest gas plays in the U.S. Encompassing approximately 2.9 million ha, this area has been subject to intensive exploration for oil and gas, while over 90% of it has traditionally been used for forestry and agriculture. In order to detect the landscape change in the past few decades, Landsat Thematic Mapper (TM) imagery for six years (1984, 1989, 1994, 2000, 2006, and 2011) was acquired. Unsupervised classifications were performed to classify each image into four cover types: agriculture, forest, well pad, and other. Change detection …
Accuracy Assessment Of Land Cover Maps Of Forests Within An Urban And Rural Environment, Daniel Unger, I-Kuai Hung, David L. Kulhavy
Accuracy Assessment Of Land Cover Maps Of Forests Within An Urban And Rural Environment, Daniel Unger, I-Kuai Hung, David L. Kulhavy
Faculty Publications
Land cover maps of forests within an urban and rural environment derived from high spatial resolution multispectral data (QuickBird) and medium spatial resolution multispectral data (Landsat ETM+ and SPOJ 4) were compared to ascertain whether increased spatial resolution increases map accuracy of forests and whether map accuracy varies across land cover classification schemes. It is commonly assumed that increased spatial resolution would probably increase land cover map accuracy regardless of land cover classification methodology. This study assessed whether that assumption is correct within a rural and an urban environment. Map accuracy for modified National Land Cover Data (NLCD) 2001 Level …
Modeling Broad-Scale Patterns Of Avian Species Richness Across The Midwestern United States With Measures Of Satellite Image Texture, Patrick D. Culbert, Volker C. Radeloff, Véronique St-Louis, Curtis H. Flather, Chadwick D. Rittenhouse, Thomas P. Albright, Anna M. Pidgeon
Modeling Broad-Scale Patterns Of Avian Species Richness Across The Midwestern United States With Measures Of Satellite Image Texture, Patrick D. Culbert, Volker C. Radeloff, Véronique St-Louis, Curtis H. Flather, Chadwick D. Rittenhouse, Thomas P. Albright, Anna M. Pidgeon
USDA Forest Service / UNL Faculty Publications
Avian biodiversity is threatened, and in order to prioritize limited conservation resources and conduct effective conservation planning a better understanding of avian species richness patterns is needed. The use of image texture measures, as a proxy for the spatial structure of land cover and vegetation, has proven useful in explaining patterns of avian abundance and species richness. However, prior studies that modeled habitat with texture measures were conducted over small geographical extents and typically focused on a single habitat type. Our goal was to evaluate the performance of texture measures over broad spatial extents and across multiple habitat types with …
Standardized, Cost-Effective, And Repeatable Remote Sensing Methodology To Quantify Forested Resources In Texas, Daniel Unger, James Kroll, I-Kuai Hung, Jeffrey M. Williams, Dean W. Coble
Standardized, Cost-Effective, And Repeatable Remote Sensing Methodology To Quantify Forested Resources In Texas, Daniel Unger, James Kroll, I-Kuai Hung, Jeffrey M. Williams, Dean W. Coble
Faculty Publications
A standardized remote sensing methodology was evaluated for its use in quantifying the forested resources of the state of Texas in a timely and cost-effective manner. Landsat data from 2002 were used to create a land cover base map encompassing a four-county study area in East Texas. Site-specific and non-site-specific accuracy assessments of the classified map indicate that overall the 2002 base map accuracy of 72.78% was within acceptable remote sensing standards for Landsat data and that forest cover types derived from 2002, 1987, and 1980 Landsat data were within 4.4, 0.5, and 7.4% agreement with Forest Inventory and Analysis …
Multitemporal Analysis Using Landsat Thematic Mapper (Tm) Bands For Forest Cover Classification In East Texas, Jason Grogan, I-Kuai Hung, James Kroll
Multitemporal Analysis Using Landsat Thematic Mapper (Tm) Bands For Forest Cover Classification In East Texas, Jason Grogan, I-Kuai Hung, James Kroll
Faculty Publications
Land cover maps have been produced using satellite imagery to monitor forest resources since the launch of Landsat 1. Research has shown that stacking leaf-on and leaf-off imagery (combining two separate images into one image for processing) may improve classification accuracy. It is assumed that the combination of data will aid in differentiation between forest types. In this study we explored potential benefits of using multidate imagery versus single-date imagery for operational forest cover classification as part of an annual remote sensing forest inventory system. Landsat Thematic Mapper (TM) imagery was used to classify land cover into four classes. Six …