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Articles 1 - 5 of 5
Full-Text Articles in Physical Sciences and Mathematics
Dryland Vegetation Mapping Using High Spatial-Temporal Resolution Satellite Imagery In New Mexico: A Comparison Of Phenological Time-Series Transformation Methods, Pratistha Sharma
Dryland Vegetation Mapping Using High Spatial-Temporal Resolution Satellite Imagery In New Mexico: A Comparison Of Phenological Time-Series Transformation Methods, Pratistha Sharma
Geography ETDs
New Mexico's drylands are undergoing notable vegetation changes due to rising aridity, higher temperatures, and shifts in precipitation with changing climate. Mapping drylands through remote sensing is challenging compared to mesic systems due to the irregular patterns of rainfall-driven phenology and weaker vegetation absorption signals. This study aims to enhance vegetation mapping in New Mexico, utilizing a high-resolution, frequently revisited PlanetScope dataset with multispectral capabilities, specifically chosen for its suitability for time-series analysis. The challenge with high spatial and temporal data lies in the overwhelming volume, leading to issues like the curse of dimensionality, overfitting, data redundancy, collinearity, and visualization …
The Impacts Of Transfer Learning For Ungulate Recognition At Sevilleta National Wildlife Refuge, Michael Gurule
The Impacts Of Transfer Learning For Ungulate Recognition At Sevilleta National Wildlife Refuge, Michael Gurule
Geography ETDs
As camera traps have grown in popularity, their utilization has expanded to numerous fields, including wildlife research, conservation, and ecological studies. The information gathered using this equipment gives researchers a precise and comprehensive understanding about the activities of animals in their natural environments. For this type of data to be useful, camera trap images must be labeled so that the species in the images can be classified and counted. This has typically been done by teams of researchers and volunteers, and it can be said that the process is at best time-consuming. With recent developments in deep learning, the process …
The Affective Landscapes Of Herbalism In New Mexico, Samantha Angelou Stroud
The Affective Landscapes Of Herbalism In New Mexico, Samantha Angelou Stroud
Geography ETDs
Herbalism, or practices which use plants for medicinal purposes, is tied to traditions in several cultures of the American Southwest, including Indigenous herbal medicine, Mexican-American curanderismo, and Western herbal traditions. Herbalism has been steadily gaining mainstream popularity since the late 1960s, alongside counterculture, holistic health, and back-to-nature movements, introducing many newcomers to the practice. This study asks: How does herbalism create and attach meaning to plants, cultures, and place in New Mexico? What are the affective landscapes produced by herbalism in New Mexico? And, to what extent do meaningful attachments manifest in ethics and actions of care? I argue that …
Impacts Of Urban Renewal On Community Identity And Sense Of Place In Las Cruces, New Mexico, Savannah Lorraine Quintana-Eddins
Impacts Of Urban Renewal On Community Identity And Sense Of Place In Las Cruces, New Mexico, Savannah Lorraine Quintana-Eddins
Geography ETDs
Las Cruces is the second largest city in New Mexico which has experienced exponential growth in the last three decades. The city has been cultivated by a rich history of Native populations, Spanish colonialism, and American democratic government. The culmination of these influences on Las Cruces had much influence on the Mesquite Historic District, the original townsite of Las Cruces. This area is home to many generational families and is adjacent to the downtown Main Street corridor. Downtown was built from the destruction of the Mesquite Historic District caused by waves of urban renewal projects. Through organizing, legislative action and …
Estimating Potential Exposure From Abandoned Uranium Mine Sites Through Machine Learning Classification Of Animal Behavior: A Case Study In The Navajo Nation, Christopher Girlamo
Estimating Potential Exposure From Abandoned Uranium Mine Sites Through Machine Learning Classification Of Animal Behavior: A Case Study In The Navajo Nation, Christopher Girlamo
Geography ETDs
Waste from Abandoned Uranium Mines (AUMs) has negatively impacted Indigenous communities for generations. To answer these concerns, this research collaborated with Navajo Nation community members in Cove, AZ and Red Valley, AZ in order to better predict the potential AUM waste exposure their flocks face. A GIS-Multi-Criteria Decision Analysis (GIS-MCDA) model quantified potential exposure to AUM waste. Animal behavior was classified based on GPS and accelerometer data utilizing a Hidden Markov Model (HMM). The results of both the GIS-MCDA and animal behavior classification modeling was combined into a cumulative exposure potential value for each animal. This study found that livestock …