A5086151328- Remote Sensing in Agriculture
- Species Distribution and Climate Change
- Rangeland and Wildlife Management
- Remote Sensing and LiDAR Applications
- Remote-Sensing Image Classification
- Geographic Information Systems Studies
- Wildlife Ecology and Conservation
- Land Use and Ecosystem Services
- Geochemistry and Geologic Mapping
- Primate Behavior and Ecology
- 3D Surveying and Cultural Heritage
- Fire effects on ecosystems
- Advanced Image Fusion Techniques
- Coastal wetland ecosystem dynamics
- Botany, Ecology, and Taxonomy Studies
- Mosquito-borne diseases and control
- Satellite Image Processing and Photogrammetry
- Plant Water Relations and Carbon Dynamics
- Animal Disease Management and Epidemiology
- Soil Geostatistics and Mapping
- Geography Education and Pedagogy
- Insect symbiosis and bacterial influences
- Karst Systems and Hydrogeology
- Urban Heat Island Mitigation
- Wildlife-Road Interactions and Conservation
University of Georgia
2015-2024
Center For Remote Sensing (United States)
2002-2015
University of North Georgia
2015
Rogers (United States)
2015
Oxford University Press (United Kingdom)
2012
Franklin College
2012
North Carolina Central University
2008
Rockwell Automation (United States)
1982
This study used geographic object-based image analysis (GEOBIA) with very high spatial resolution (VHR) aerial imagery (0.3 m resolution) to classify vegetation, channel and bare mud classes in a salt marsh. Three classification issues were investigated the context of segmentation scale: (1) comparison single- multi-scale GEOBIA using spectral bands, (2) relative benefit incorporating texture derived from grey-level co-occurrence matrix (GLCM) classifying marsh features (3) effect...
This study investigated the use of a geographic object-based image analysis (GEOBIA) approach with incorporation object-specific grey-level co-occurrence matrix (GLCM) texture measures from multispectral Ikonos for delineation deciduous, evergreen, and mixed forest types in Guilford Courthouse National Military Park, North Carolina. A series automated segmentations was produced at range scales, each resulting an associated number size objects (or segments). Prior to classification, spatial...
The distribution of West Nile virus (WNV) is dependent on the occurrence both susceptible avian reservoir hosts and competent mosquito vectors. Both factors can be influenced by geographic variables such as land use/landcover, elevation, human population density, physiographic region, temperature. current study uses information systems (GIS) logistic regression analyses to model WNV in state Georgia based a wild bird indicator system, identify environmental predictor that are important...
This study explores the empirical relationship between city-level urban forms and CO2 emissions in 104 Chinese prefectural-level cities. Although analytical focus is on polycentric forms, analysis has also accounted for population size land use compactness. data are aggregated from Fossil Fuel Data Assimilation System (FFDASv2) portal. The identifies substantial economies of scale with respect to total population. Further, despite a wealth effect emissions, cities more centralized compact...
Worldwide, Salmonella spp. is a significant cause of disease for both humans and wildlife, with wild birds adapted to urban environments having different opportunities pathogen exposure, infection, transmission compared their natural conspecifics. Food provisioning by people may influence these factors, especially when high-density mixed species flocks aggregate. White Ibises (Eudocimus albus), an iconic Everglades in decline Florida, are becoming increasingly common urbanized areas south...
Abstract This project combines qualitative data of personal narratives with geographic information science (GIScience) technologies to explore the potential for critical cartography in study mass atrocity. The case used is northern Uganda, where millions have been affected by physical violence and hardship, displacement, fear. Web-based virtual globes as a ready source imagery remote areas derived spatial imported systems (GIS) provide quantified that complement testimonials other from...
Salmonellosis cases in the United States show distinct geographical trends, with southeast reporting among highest rates of illness. In state Georgia, USA, non-outbreak associated salmonellosis is especially high southern low-lying coastal plain. Here we examined distribution Salmonella enterica environmental waters and wildlife two watersheds, one Atlantic Coastal Plain (a case rate rural area) physiographic province Piedmont lower area). were isolated from regions compared for serovar...
The K nearest neighbor (KNN) method of image analysis is practical, relatively easy to implement, and becoming one the most popular methods for conducting forest inventory using remote sensing data. KNN often named classifier when it used classifying categorical variables, while called regression applied predicting noncategorical variables. As an instance-based estimation method, has two problems: selection values computation cost. We address problems by applying a new approach, which...
While protected areas (PAs) are an important conservation strategy to protect vulnerable ecosystems and species, recent analyses question their effectiveness in curbing deforestation maintaining landscape connectivity. The spatial arrangement of forests inside outside PAs may affect ecosystem functioning wildlife movement. Osa Peninsula—and Costa Rica general—are unique case studies due high biodiversity, extensive PA network, environmental policies, payment for services (PES) programs. This...
Completely cloud-free remotely sensed images are preferred, but they not always available. Although the average cloud coverage for entire planet is about 40 percent, removal of clouds and shadows rarely studied. To address this problem, a closest spectral fit method developed to replace cloud-shadow pixels with their most similar nonclouded pixel values. The objective paper illustrate methodology test its performance removing in images. procedures summarized into six steps, which two main...
Vegetation mapping was performed using geographic object-based image analysis (GEOS1A) and very high spatial resolution (VHR) imagery for two study areas in Great Smoky Mountains National Park. This investigated how accurately GEOB1A with ancillary data emulates manual interpretation rugged mountain multi-level vegetation classes of the Classification System (NVCS). It discovered that incorporation texture topographic variables spectral from scanned color infrared aerial photographs...
Coal fires that are induced by natural spontaneous combustion or result from human activities occurring on the surface and in underground coal seams destroy resources cause serious environmental degradation. Thermal infrared image data, which directly measure temperature, can be an important tool to map over large areas. As first of two parts introducing our fire detection method, this paper proposes a self-adaptive threshold-based approach for using ASTER thermal data: gradient-based...