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Skip to Search Results- 15Remote sensing
- 2Biodiversity
- 2Machine learning
- 2Moving horizon estimation
- 2Sensor placement
- 2State estimation
- 1Ball, Ronald Aaron
- 1Chen, Yingxiu
- 1Choden, Sonam
- 1Debnath, Sarupa
- 1Elshabrawy, Mohamed Mansour
- 1Haji Reza, Parsin
- 5Department of Earth and Atmospheric Sciences
- 3Department of Chemical and Materials Engineering
- 3Department of Civil and Environmental Engineering
- 1Department of Electrical and Computer Engineering
- 1Department of Geography
- 1Department of Mechanical Engineering
- 3Liu, Jinfeng (Chemical and Materials Engineering)
- 2Sanchez-Azofeifa, Arturo (Earth and Atmospheric Sciences)
- 1Arturo Sanchez-Azofeifa (Earth and Atmospheric Sciences)
- 1El-Basyouny, Karim (Civil and Environmental Engineering)
- 1Flannigan, Mike (Renewable Resources)
- 1Gamon, John (Earth and Atmospheric Sciences and Biological Sciences)
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Spring 2023
Countries around the world strive to improve the well-being of their people; one of the means to achieve that is to ensure a safe, resilient, and efficient transportation network. Bhutan, a developing country, in southeast Asia, shares the common goal of poverty reduction and economic growth...
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Fall 2015
Optical-resolution photoacoustic microscopy (OR-PAM) is a novel imaging technology providing high micron-scale lateral spatial resolution to visualize superficial structures in vivo with optical-absorption contrast. The term “optical resolution” is used since the lateral resolution of the system...
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Fall 2017
Biodiversity loss endangers ecosystem services and is considered as a global change that may generate unacceptable environmental consequences on the Earth system. Global biodiversity observations are needed to provide a deep understanding of the biodiversity - ecosystem services relationship and...
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Fall 2016
The increasing anthropogenic pressure on biodiversity in the tropics is resulting in changes to ecosystem structure and increasing species extinction rates (Collen et al. 2013). These issues are heightened in the tropics where 50% of the world’s biodiversity is held in 7% of the world’s...
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Development of GIS-based Methods for Modeling Fire Hazard - A Large Scale Empirical Investigation
DownloadSpring 2022
Wildland fires are natural occurrences in the woodland landscape that play a vital ecological role in Canada's boreal forest region. However, they also endanger human life and can disrupt timber resources and other economic assets. Recently, wildfires have ravaged areas of British Columbia,...
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Fall 2010
The Cerrado is a biodiversity hotspot undergoing land conversion with need of broad-extent quantification of species and associated ecosystem function. The effects of species on ecosystems can be tested when functional traits are related to ecosystem properties. The patterns of...
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Spring 2022
Two-thirds of the world population faces severe water stress at least once per month in a year. The rapidly growing population exacerbates freshwater scarcity. Additionally, climate change, pollution, and bio-energy demands amplify the water demand problem. Since a large percentage of freshwater...
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Spring 2024
Modern industries are increasingly embracing complex, large-scale processes with interconnected units for their economic benefits. The increasing scale of industrial processes and the complexity of unit interactions substantially complicate the development of advanced process control systems....
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Monitoring year-to-year variability in dry mixed-grass prairie yield using multi-sensor remote sensing
DownloadFall 2012
The Normalized Difference Vegetation Index (NDVI) and harvested biomass were compared to assess rangeland productivity (above-ground green biomass or “yield”) in southern Albertan dry mixed-grass prairie. Seasonal trends during the 2009 and 2010 growing seasons were investigated using harvested...
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Neural networks modelling of stream nitrogen using remote sensing information: model development and application
DownloadFall 2009
In remotely located forest watersheds, monitoring nitrogen (N) in streams often is not feasible because of the high costs and site inaccessibility. Therefore, modelling tools that can predict N in unmonitored watersheds are urgently needed to support management decisions for these watersheds....