A5061249452- Remote Sensing and LiDAR Applications
- Rangeland and Wildlife Management
- Species Distribution and Climate Change
- 3D Surveying and Cultural Heritage
- Remote Sensing in Agriculture
- Fire effects on ecosystems
- Scientific Computing and Data Management
- Ecology and Vegetation Dynamics Studies
- Research Data Management Practices
- Land Use and Ecosystem Services
- Soil erosion and sediment transport
- Genetics, Bioinformatics, and Biomedical Research
- Landslides and related hazards
- Coral and Marine Ecosystems Studies
- Groundwater and Watershed Analysis
- Big Data Technologies and Applications
- Botanical Research and Applications
- Turfgrass Adaptation and Management
- Archaeology and Natural History
- Forest Ecology and Biodiversity Studies
- Aeolian processes and effects
- Fire dynamics and safety research
- Environmental DNA in Biodiversity Studies
- Archaeological Research and Protection
- Conservation, Biodiversity, and Resource Management
University of Arizona
2018-2024
BIO5 Institute
2023
New Mexico State University
2013-2017
Agricultural Research Service
2014-2017
United States Department of Agriculture
2014
University of Idaho
2013
CyVerse, the largest publicly-funded open-source research cyberinfrastructure for life sciences, has played a crucial role in advancing data-driven since 2010s. As technology landscape evolved with emergence of cloud computing platforms, machine learning and artificial intelligence (AI) applications, CyVerse enabled access by providing interfaces, Software as Service (SaaS), cloud-native Infrastructure Code (IaC) to leverage new technologies. services enable researchers integrate...
Tree and shrub abundance has increased in many grasslands causing changes ecosystem carbon nitrogen pools that are related to patterns of woody plant distribution. However, with regard spatial proliferation, little is known about how they influenced by grazing or the extent which intraspecific interactions. We addressed these questions quantifying distribution Prosopis velutina (mesquite) shrubs over 74 years on grazed protected grasslands. Livestock effective agents mesquite dispersal...
Remotely sensing recent growth, herbivory, or disturbance of herbaceous and woody vegetation in dryland ecosystems requires high spatial resolution multi-temporal depth. Three dimensional (3D) remote technologies like lidar, techniques structure from motion (SfM) photogrammetry, each have strengths weaknesses at detecting volume extent, given the instrument's ground sample distance ease acquisition. Yet, a combination platforms might provide solutions that overcome weakness single platform....
It is easier to search the globe for research on genes of a local plant than it find that plant's ecology. As result, ecologists are often unaware published and unlikely relevant studies from similar environments worldwide. Location information in ecological can be harnessed enable geographic knowledge searches could standardized make more fruitful. To demonstrate this potential, we developed JournalMap Web site (www.journalmap.org). Easy access distributions opens new possibilities using...
Structure-from-motion (SfM) photogrammetry from unmanned aerial system (UAS) imagery is an emerging tool for repeat topographic surveying of dryland erosion. These methods are particularly appealing due to the ability cover large landscapes compared field and at reduced costs finer spatial resolution airborne laser scanning. Accuracy precision high-resolution digital terrain models (DTMs) derived UAS have been explored in many studies, typically by comparing image coordinates surveyed check...
Abstract In adaptive management of rangelands, monitoring is the vital link that connects actions with on‐the‐ground changes. Traditional field methods can provide detailed information for assessing health but cost often limits locations to a few key areas or random plots. Remotely sensed imagery, and drone‐based imagery in particular, observe larger than while retaining high enough spatial resolution estimate many rangeland indicators interest. However, geographic extent drone products...
Abstract CyVerse, the largest publicly-funded open-source research cyberinfrastructure for life sciences, has played a crucial role in advancing data-driven since 2010s. As technology landscape evolved with emergence of cloud computing platforms, machine learning and artificial intelligence (AI) applications, CyVerse enabled access by providing interfaces, Software as Service (SaaS), cloud-native Infrastructure Code (IaC) to leverage new technologies. services enable researchers integrate...
Pre-fire environmental conditions play a critical role in wildfire severity. This study investigated the impact of pre-fire forest on burn severity as result 2020 Bighorn Fire Santa Catalina Mountains Arizona. Using stepwise regression model and remotely sensed data from Landsat 8 LiDAR, we analyzed effects structural functional vegetation traits factors analysis revealed that difference normalized ratio (dNBR) was more reliable indicator compared to relative dNBR (RdNBR). Stepwise...
Accurate identification of cacti, whether seen as an indicator ecosystem health or invasive menace, is important. Technological improvements in hyperspectral remote sensing systems with high spatial resolutions make it possible to now monitor cacti around the world. Cacti produce a unique spectral signature because their morphological and anatomical characteristics. We demonstrate this paper that we can leverage reflectance dip 972 nm, due cacti’s structure, distinguish vegetation from...
Introduced as a soil erosion deterrent, salt cedar has become menace along riverbeds in the desert southwest. Salt replaces native species, permanently altering structure, composition, function, and natural processes of landscape. Remote sensing technologies have potential to monitor level invasion its impacts on ecosystem services. In this research, we developed species map by segmenting classifying various stretch Lower Gila River. We calculated metrics from high-resolution multispectral...
The greater sage-grouse (Centrocercus urophasianus; hereafter, sage-grouse), a candidate species for listing under the Endangered Species Act, has experienced population declines across its range in sagebrush (Artemisia spp.) steppe ecosystems of western North America. One factor contributing to loss habitat is expanding human with associated development and infrastructure. Our objective was use spatial-statistical approach assess effect roads, power transmission lines, rural buildings on...
Recent advancements in sensor technologies make it possible to collect fine spatial and high temporal resolution remote sensing data automatically extract informative features a throughput mode. As researchers increasingly have access tools big data, such as Unmanned Aerial Vehicles (UAV) Controlled Environment Phenotyping Facility (CEPF), there is need for generating quantitative phenotypic from the collected geospatial data. While precision agriculture technology aims protect our...
Shay Mesa, Utah 37.987717, -109.557896, 2100 meters above sea level 31 hectares 317 mm mean annual precipitation Upland Shallow Loam Ecological Site dominated by two-needle pinon (Pinus edulis Engelm.), juniper (Juniperus osteosperma (Torr.) Little), mountain big sagebrush (Artemisia tridentata Nutt. ssp. vaseyana (Rydb.) Beetle), and broom snakeweed (Gutierrezia sarothrae (Pursh) Britton & Rusby) Managed Bureau of Land Management The Erosion Problem
Mapping ecological states in semi-arid rangelands is crucial for effective land management and conservation efforts because it identifies difference the conditions across a landscape. This study presents an innovative approach mapping two states, Large Shrub Grass (LSG) Eroded (LSE), within Sandy Loam Upland Deep (SLUD) sites using combination of drone satellite data. The methodology leverages Largest Patch Index (LPI) as proxy metric to estimate eroded areas classify states. integration...