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Full-Text Articles in Instrumentation

Project G.L.E.N., Alexis Peshehonoff, Makaylei Huggins, Bernard Muich, William John, Nicholas Fazzolari, Kai Hong, Nicholas Krasznavolgyi, Caitlyn A. Gabrinowitz, Grace Forbes, Harris Meyer, Jakob Graudons, Georgii Dubrov, Aditya Bhattacharya, Augustine Balish, Zachary Ort, Stephen Syvertson, Sajid Berhane Aug 2026

Project G.L.E.N., Alexis Peshehonoff, Makaylei Huggins, Bernard Muich, William John, Nicholas Fazzolari, Kai Hong, Nicholas Krasznavolgyi, Caitlyn A. Gabrinowitz, Grace Forbes, Harris Meyer, Jakob Graudons, Georgii Dubrov, Aditya Bhattacharya, Augustine Balish, Zachary Ort, Stephen Syvertson, Sajid Berhane

Discovery Day - Daytona Beach

Project G.L.E.N., formally known as “Refining Enhanced Fujita Wind Estimates via Unmanned Collection of In-Situ Tornadic Data Measurements,” is an ongoing initiative aimed at advancing tornado research through the development and deployment of an unmanned tornado probe. Through the Gale Level Environmental Navigator (G.L.E.N.) probe, a remote-controlled unit equipped with specialized meteorological sensors and innovative design features, we aim to collect real-time, onsite data from within tornadoes. This approach allows for direct measurement of internal atmospheric conditions such as wind speeds, pressure fluctuations, temperature, humidity, and other storm dynamics while removing human risk from tornado interception, significantly enhancing the safety …


Crowdsourcing Geospatial Data For Earth And Human Observations: A Review, Xiao Huang, Siqin Wang, Di Yang, Tao Hu, Meixu Chen, Mengxi Zhang, Guiming Zhang, Filip Biljecki, Tianjun Lu, Lei Zou, Connor Y. H. Wu, Yoo Min Park, Xiao Li, Yunzhe Liu, Hongchao Fan, Jessica Mitchell, Zhenlong Li, Alexander Hohl Jan 2024

Crowdsourcing Geospatial Data For Earth And Human Observations: A Review, Xiao Huang, Siqin Wang, Di Yang, Tao Hu, Meixu Chen, Mengxi Zhang, Guiming Zhang, Filip Biljecki, Tianjun Lu, Lei Zou, Connor Y. H. Wu, Yoo Min Park, Xiao Li, Yunzhe Liu, Hongchao Fan, Jessica Mitchell, Zhenlong Li, Alexander Hohl

Earth and Environmental Sciences Faculty Publications

The transformation from authoritative to user-generated data landscapes has garnered considerable attention, notably with the proliferation of crowdsourced geospatial data. Facilitated by advancements in digital technology and high-speed communication, this paradigm shift has democratized data collection, obliterating traditional barriers between data producers and users. While previous literature has compartmentalized this subject into distinct platforms and application domains, this review offers a holistic examination of crowdsourced geospatial data. Employing a narrative review approach due to the interdisciplinary nature of the topic, we investigate both human and Earth observations through crowdsourced initiatives. This review categorizes the diverse applications of these data and …


Applications Of Nasa Earth Observations For Monitoring Forest Loss In The Madre De Dios Region Of Peru, Andrea Nicolau, Kelsey Herndon, Africa Flores, Robert Griffin Oct 2018

Applications Of Nasa Earth Observations For Monitoring Forest Loss In The Madre De Dios Region Of Peru, Andrea Nicolau, Kelsey Herndon, Africa Flores, Robert Griffin

Von Braun Symposium Student Posters

No abstract provided.


Evaluating Methods For Identifying And Monitoring Factors In The Puget Sound That Indicate Eutrophication And Hypoxia, Christine Evans, Emily Kinkle, Helen Baldwin, Yu Han, Robert Griffin Oct 2018

Evaluating Methods For Identifying And Monitoring Factors In The Puget Sound That Indicate Eutrophication And Hypoxia, Christine Evans, Emily Kinkle, Helen Baldwin, Yu Han, Robert Griffin

Von Braun Symposium Student Posters

No abstract provided.


Productivity, Absorbed Photosynthetically Active Radiation, And Light Use Efficiency In Crops: Implications For Remote Sensing Of Crop Primary Production, Anatoly A. Gitelson, Yi Peng, Timothy J. Arkebauer, Andrew E. Suyker Feb 2015

Productivity, Absorbed Photosynthetically Active Radiation, And Light Use Efficiency In Crops: Implications For Remote Sensing Of Crop Primary Production, Anatoly A. Gitelson, Yi Peng, Timothy J. Arkebauer, Andrew E. Suyker

School of Natural Resources: Faculty Publications

Vegetation productivity metrics such as gross primary production (GPP) at the canopy scale are greatly affected by the efficiency of using absorbed radiation for photosynthesis, or light use efficiency (LUE). Thus, close investigation of the relationships between canopy GPP and photosynthetically active radiation absorbed by vegetation is the basis for quantification of LUE. We used multiyear observations over irrigated and rainfed contrasting C3 (soybean) and C4 (maize) crops having different physiology, leaf structure, and canopy architecture to establish the relationships between canopy GPP and radiation absorbed by vegetation and quantify LUE. Although multiple LUE definitions are reported in the literature, …


Estimation Of Crop Gross Primary Production (Gpp): FaparChl Versus Mod15a2 Fpar, Qingyuan Zhang, Yen-Ben Cheng, A. I. Lyapustin, Yujie Wang, Feng Gao, Andrew E. Suyker, Shashi B. Verma, Elizabeth M. Middleton Jan 2014

Estimation Of Crop Gross Primary Production (Gpp): FaparChl Versus Mod15a2 Fpar, Qingyuan Zhang, Yen-Ben Cheng, A. I. Lyapustin, Yujie Wang, Feng Gao, Andrew E. Suyker, Shashi B. Verma, Elizabeth M. Middleton

School of Natural Resources: Faculty Publications

Photosynthesis (PSN) is a pigment level process in which antenna pigments (predominately chlorophylls) in chloroplasts absorb photosynthetically active radiation (PAR) for the photochemical process. PAR absorbed by foliar non-photosynthetic components is not used for PSN. The fraction of PAR absorbed (fAPAR) by a canopy/vegetation (i.e., fAPARcanopy) derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) images, referred to as MOD15A2 FPAR, has been used to compute absorbed PAR (APAR) for PSN (APARPSN) which is utilized to produce the standard MODIS gross primary production (GPP) product, referred to as MOD17A2 GPP. In this study, the fraction of PAR …