OSU was the first public entity in Oregon to receive a Certificate of Authorization (COA) for unmanned aircraft systems (UAS) flights in 2012. The document summarizes that OSU now has 25 active COAs across 5 states and has conducted UAS flights internationally for purposes such as remote sensing in agriculture, earth and oceanic sciences, engineering, forestry, fish and wildlife, and search and rescue applications. OSU is dedicated to using UAS for these types of remote sensing projects.
The Intersection of Science Standards and the Real World
Erika Klose, West Virginia Department of Education
GIS is increasingly being used in classrooms in the state of West Virginia, through a state-wide K-12 license through ESRI. While GIS most easily lends itself to geography and the environmental sciences, it is also a powerful teaching tool in other disciplines. GIS can be used in teaching traditionally non-spatial topics, by adding a geospatial slant to a chosen type of data. This presentation will include a series of lessons designed to teach core science knowledge with a geospatial slant, the end goal being the intersection of standards-based core science content and real world applications. This presentation will also showcase a partnership between a number of WV GIS professional organizations and classroom teachers seeking to add authentic GIS experiences to their student’s education.
The Intersection of Science Standards and the Real World
Erika Klose, West Virginia Department of Education
GIS is increasingly being used in classrooms in the state of West Virginia, through a state-wide K-12 license through ESRI. While GIS most easily lends itself to geography and the environmental sciences, it is also a powerful teaching tool in other disciplines. GIS can be used in teaching traditionally non-spatial topics, by adding a geospatial slant to a chosen type of data. This presentation will include a series of lessons designed to teach core science knowledge with a geospatial slant, the end goal being the intersection of standards-based core science content and real world applications. This presentation will also showcase a partnership between a number of WV GIS professional organizations and classroom teachers seeking to add authentic GIS experiences to their student’s education.
The Indian Dental Academy is the Leader in continuing dental education , training dentists in all aspects of dentistry and
offering a wide range of dental certified courses in different formats.
A free radical is a molecule or molecular fragment that contains one or more unpaired electrons in its outermost orbital.
Free radical is generally represented by superscript dot.
Free radicals in human diseases and the roleMohammed Sakr
Free radicals reactive oxygen species and reactive nitrogen species are generated by our body by various endogenous systems, exposure to different physiochemical conditions or pathological states. A balance between free radicals and antioxidants is necessary for proper physiological function. If free radicals overwhelm the body's ability to regulate them, a condition known as oxidative stress ensues. Free radicals thus adversely alter lipids, proteins, and DNA and trigger a number of human diseases. Free radicals are a main cause of cardiovascular diseases, cancer, aging and immune defense disorders. Foods like berries and carrot protect us against free radicals.
The Indian Dental Academy is the Leader in continuing dental education , training dentists in all aspects of dentistry and
offering a wide range of dental certified courses in different formats.
A free radical is a molecule or molecular fragment that contains one or more unpaired electrons in its outermost orbital.
Free radical is generally represented by superscript dot.
Free radicals in human diseases and the roleMohammed Sakr
Free radicals reactive oxygen species and reactive nitrogen species are generated by our body by various endogenous systems, exposure to different physiochemical conditions or pathological states. A balance between free radicals and antioxidants is necessary for proper physiological function. If free radicals overwhelm the body's ability to regulate them, a condition known as oxidative stress ensues. Free radicals thus adversely alter lipids, proteins, and DNA and trigger a number of human diseases. Free radicals are a main cause of cardiovascular diseases, cancer, aging and immune defense disorders. Foods like berries and carrot protect us against free radicals.
This is the presentation from my Master's Thesis defense at UGA in Spring 2013. The results were subsequently published in the journal Photogrammetric Engineering and Remote Sensing.
Application of remote sensing in forest ecosystemaliya nasir
Established remote sensing systems provide opportunities to develop and apply new measurements of ecosystem function across landscapes, regions and continents.
New efforts to predict the consequences of ecosystem function change, both natural and human- induced, on the regional and global distributions and abundances of species should be a high research priority
Characterizing Forest Degradation and Carbon Biomass Assessment in Tropical ...CIFOR-ICRAF
This presentation, presented at the 36th International Symposium on Remote Sensing of Environment, explains the importance of peatlands to Indonesia as well as their contribution to carbon emissions. ALOS PALSAR data and above ground biomass assessments are used to map peatlands.
Measuring Individual Tree Height and Crown Diameter for Mangrove Trees with A...INFOGAIN PUBLICATION
Mangroves are unique ecosystems that provide valuable coastal area habitats, protection, and services. Access to observing mangrove forests is typically difficult on the ground. Therefore, it is of interest to develop and evaluate remote sensing methods that enable us to obtain accurate information on the structure of mangrove forests and to monitor their condition in time. The main objective of this study was to develop a methodology for processing airborne lidar data for measuring height and crown diameter for mangrove forests in the north-eastern coastal areas of Brazil. Specific objectives were to: (1) evaluate the most appropriate lidar data processing approach, such as area-based or individual tree methods, (2) investigate the most appropriate parameters for lidar-derived data products when estimating height and crown diameter, such as the spatial resolution of canopy height models and ground elevation models; and (3) compare the accuracy of lidar estimates to field measurements of height and crown diameter. The lidar dataset was acquired over mangrove forest of the northeast of Brazil. The crown diameter was calculated as the average of two values measured along two perpendicular directions from the location of each tree top by fitting a fourth-degree polynomial on both profiles. The lidar-derived tree measurements were used with regression models and cross-validation to estimate plot level field-measured crown diameter. Root mean square error, linear regression and the Nash-Sutcliffe coefficient were also used to compare lidar height and field height. The mean of lidar-estimated tree height was 9,48m and the mean of field tree height was 8.44m. The correlation between lidar tree height and field tree height was r= 0.60, E=-0.06 and RMSE= 2.8. The correlation between height and crown diameter needed to parameterized the individual tree identification software obtained for 32 trees was r= 0.83 and determination coefficient was r2 = 0.69. The results of the current study show that lidar data could be used to estimate height and average crown diameter of mangrove trees and to improve estimates of other mangrove forest biophysical parameters of interest by focusing at the individual tree level. The research presented in this study contributes to the overall knowledge of using lidar remote sensing to measure and monitor mangrove forests.
Measuring Individual Tree Height and Crown Diameter for Mangrove Trees with A...INFOGAIN PUBLICATION
Mangroves are unique ecosystems that provide valuable coastal area habitats, protection, and services. Access to observing mangrove forests is typically difficult on the ground. Therefore, it is of interest to develop and evaluate remote sensing methods that enable us to obtain accurate information on the structure of mangrove forests and to monitor their condition in time. The main objective of this study was to develop a methodology for processing airborne lidar data for measuring height and crown diameter for mangrove forests in the north-eastern coastal areas of Brazil. Specific objectives were to: (1) evaluate the most appropriate lidar data processing approach, such as area-based or individual tree methods, (2) investigate the most appropriate parameters for lidar-derived data products when estimating height and crown diameter, such as the spatial resolution of canopy height models and ground elevation models; and (3) compare the accuracy of lidar estimates to field measurements of height and crown diameter. The lidar dataset was acquired over mangrove forest of the northeast of Brazil. The crown diameter was calculated as the average of two values measured along two perpendicular directions from the location of each tree top by fitting a fourth-degree polynomial on both profiles. The lidar-derived tree measurements were used with regression models and cross-validation to estimate plot level field-measured crown diameter. Root mean square error, linear regression and the Nash-Sutcliffe coefficient were also used to compare lidar height and field height. The mean of lidar-estimated tree height was 9,48m and the mean of field tree height was 8.44m. The correlation between lidar tree height and field tree height was r= 0.60, E=-0.06 and RMSE= 2.8. The correlation between height and crown diameter needed to parameterized the individual tree identification software obtained for 32 trees was r= 0.83 and determination coefficient was r2 = 0.69. The results of the current study show that lidar data could be used to estimate height and average crown diameter of mangrove trees and to improve estimates of other mangrove forest biophysical parameters of interest by focusing at the individual tree level. The research presented in this study contributes to the overall knowledge of using lidar remote sensing to measure and monitor mangrove forests.
Measuring Individual Tree Height and Crown Diameter for Mangrove Trees with A...INFOGAIN PUBLICATION
Mangroves are unique ecosystems that provide valuable coastal area habitats, protection, and services. Access to observing mangrove forests is typically difficult on the ground. Therefore, it is of interest to develop and evaluate remote sensing methods that enable us to obtain accurate information on the structure of mangrove forests and to monitor their condition in time. The main objective of this study was to develop a methodology for processing airborne lidar data for measuring height and crown diameter for mangrove forests in the north-eastern coastal areas of Brazil. Specific objectives were to: (1) evaluate the most appropriate lidar data processing approach, such as area-based or individual tree methods, (2) investigate the most appropriate parameters for lidar-derived data products when estimating height and crown diameter, such as the spatial resolution of canopy height models and ground elevation models; and (3) compare the accuracy of lidar estimates to field measurements of height and crown diameter. The lidar dataset was acquired over mangrove forest of the northeast of Brazil. The crown diameter was calculated as the average of two values measured along two perpendicular directions from the location of each tree top by fitting a fourth-degree polynomial on both profiles. The lidar-derived tree measurements were used with regression models and cross-validation to estimate plot level field-measured crown diameter. Root mean square error, linear regression and the Nash-Sutcliffe coefficient were also used to compare lidar height and field height. The mean of lidar-estimated tree height was 9,48m and the mean of field tree height was 8.44m. The correlation between lidar tree height and field tree height was r= 0.60, E=-0.06 and RMSE= 2.8. The correlation between height and crown diameter needed to parameterized the individual tree identification software obtained for 32 trees was r= 0.83 and determination coefficient was r2 = 0.69. The results of the current study show that lidar data could be used to estimate height and average crown diameter of mangrove trees and to improve estimates of other mangrove forest biophysical parameters of interest by focusing at the individual tree level. The research presented in this study contributes to the overall knowledge of using lidar remote sensing to measure and monitor mangrove forests.
Ecological Marine Units: A 3-D Mapping of the Ocean Based on NOAA’s World Oce...Dawn Wright
This webinar to the Ecosystem Based Management Tools Network, May 17, 2017, reported progress on the Ecological Marine Units (EMU) project, a new undertaking commissioned by the Group on Earth Observations, to develop a standardized and practical global ecosystems classification and map for the oceans. The EMU is comprised of a global point mesh framework, created from 52,487,233 points from the NOAA World Ocean Atlas. Each point has x, y, z, as well as six attributes of chemical and physical oceanographic structure (temperature, salinity, dissolved oxygen, nitrate, silicate, phosphate) that are likely drivers of many ecosystem responses. We identify and map 37 environmentally distinct 3D regions (candidate ‘ecosystems’) within the water column. These units can be attributed according to their productivity, direction and velocity of currents, species abundance, global seafloor geomorphology, and more. A series of data products for open access will share the 3D point mesh and EMU clusters at the surface, bottom, and within the water column, as well as 2D and 3D web apps for exploration of the EMUs and the original World Ocean Atlas data. This webinar provided an overview of the EMU project and cover recent developments and future plans for the EMUs. Webinar recording at https://www.openchannels.org/webinars/2017/ecological-marine-units-3-d-mapping-ocean-based-noaas-world-ocean-atlas
Exploring DEM error with geographically weighted regressionGeoCommunity
Michal Gallay, Christopher D. Lloyd, Jennifer McKinley: Exploring DEM error with geographically weighted regression (poster), 9th International Symposium GIS Ostrava, VŠB – Technical Univerzity of Ostrava, from 23rd to 25th January 2012
Canopy Highways (Sigma Xi Student Showcase)mclean_ka
Many arboreal (tree-dwelling) animals repeatedly use pathways called “canopy highways” to move through their three-dimensional habitat. Using light detection and ranging (LiDAR) forest structure maps and arboreal primate movement data, I am creating a computer model to identify potential highways, which I will verify in the field using camera traps.
2. OSU was first public entity in Oregon to receive a COA
◦ Initial COA flight in 2012
OSU has:
◦ 25 active COAs
◦ 5 pending COAs
◦ Oregon, Washington, Arizona, Montana, Oklahoma
◦ UAS flights in Turkey, Indonesia, and Mexico
Dedicated to UAS flights for remote sensing
◦ Agriculture
◦ Earth and Oceanic Sciences
◦ Engineering
◦ Forestry
◦ Fish and Wildlife
◦ Search and Rescue
3. Grass Seed Certification, Willamette Valley, OR
Fiber Optic Cable Measurements – John Day River, OR
Swiss Needle Cast – Western Oregon, OR
Mangrove Health- Cozumel, Mexico
Salmon Surveys – South Umpqua River, OR
Burn Severity Mapping – Corvallis, OR
Biomass Grinding Estimation – Eugene, OR
Digital Modeling of Forest Canopy Structure – Siberut, Indonesia
Fiber Optic Cable Measurements – Hermiston, OR
Biomass Volume Measurements- Frasier, CO
Swiss Needle Cast – Blodgett, OR
Wildfire Burn Severity – Warm Springs, OR
Vineyard Vigor Mapping - Amity, OR
Golden Eagle Habitat - Warm Springs, OR
Forest Regeneration Survey – Oregon
9. Tyler, S., J. Selker, C. Higgins, and M.G. Wing. In press. CTEMPs begins support of unmanned aerial systems for
earth science investigators. EOS.
Wing, M.G., J. Burnett, J. Brungardt, D. Dobler, and V. Cordell. In press. Search and rescue operations with an
unmanned helicopter. International Journal of Remote Sensing Applications.
Beck, S.J.C., M.J. Olsen, J. Sessions, and M.G. Wing. In press. Automated extraction of forest road network geometry
from aerial LiDAR. European Journal of Forest Engineering.
Gülci, N., A.E. Akay, O. Erdaş, H.H. Acar, and M.G. Wing. In press. Controlled sliding of logs downhill by chute
system integrated with portable winch and synthetic rope. Journal of the Faculty of Forestry Istanbul University.
Simwanda, M., J. Sessions, K. Boston, and M.G. Wing. In press. Modeling biomass transport on single lane forest
roads. Forest Science.
Wing, M.G., K. Brown, D.C. Godwin, P.D. Ries, and R. Emanuel. In press. Land cover transitions and forest spatial
patterns within four developing Oregon communities. International Journal of Advanced Remote Sensing and GIS.
Wing, M.G. and J. Long. In press. A 25-year history of spatial and temporal trends in wildfire activity in Oregon and
Washington, U.S.A. Modern Applied Science.
Edson, C. and M.G. Wing. In press. LiDAR elevation and DEM errors in forested settings. Modern Applied Science.
Wing, M.G., J. Burnett, S. Johnson, A. Akay, and J. Sessions. 2014. A low-cost unmanned aerial system for remote
sensing of forested landscapes. International Journal of Remote Sensing 4(3): 113-120. doi:
10.14355/ijrsa.2014.0403.01.
Wing, M.G., J. Burnett, and J. Sessions. 2014. Remote sensing and unmanned aerial system technology for
monitoring and quantifying forest fire impacts. International Journal of Remote Sensing Applications 4(1): 18-35.
Craven, M. and M.G. Wing. 2014. Applying airborne LiDAR for forested road geomatics. Scandinavian Journal of
Forest Research 29(2): 174-182.
Frank, J. and M.G. Wing. 2014. Balancing horizontal accuracy and data collection efficiency with mapping-grade GPS
receivers. Forestry 87(3): 389-397.
Akay, A.E., M.G. Wing, and J. Sessions. 2014. Estimating sediment reduction cost for low-volume forest roads using
a LiDAR-derived high-resolution DEM. The Baltic Journal of Road and Bridge Engineering 9(1): 52-57.
Wing, M.G., J. Burnett, J. Sessions, J. Brungardt, V. Cordell, D. Dobler, and D. Wilson. 2013. Eyes in the sky: Remote
sensing technology development using small unmanned aircraft systems. Journal of Forestry 111(5): 341-347.
Frank, J. and M.G. Wing. 2013. Differential GPS effectiveness in measuring area and perimeter in forested settings.
Measurement Science and Technology 24(10): 105801.
Wing, M.G., M. Craven, J. Sessions, & J. Wimer. 2013. LiDAR-derived DEM and raw height comparisons along profile
corridor gradients within a forest. Journal of Geographic Information System 5(2): 109-116.
10. Over 20 demos and presentations in 2014/2015
◦ K-12, Higher Education, Conferences, and Legislators
Pilot’s exam test preparation
◦ OSU faculty and students (May 2015, 26 attendees)
UAS workshops
◦ Oregon / Washington first applied UAS workshop (May 4,
2015)
◦ 3-day NSF UAS CTEMPS (June 23-25, 2015)
◦ Upcoming: 2-day UAS fundamentals (Sep. 24-25, 2015)
UAS Geomatics (FE 432 / 532), Fall 2015
◦ First UAS applications course at OSU
11. Elk Surveys (Western Oregon)
Grass Seed Flights (Willamette Valley, OR)
Vineyard Flights (Mosel Valley, Germany)
Forest Inventory (Rwanda, Africa)
Golden Eagle Habitat (Warm Springs, OR)
Wheat Surveys (Hermiston, OR)
Tree Seedlings (Dorena Tree Genetics site, OR)
CTEMPs (Nevada)
FAA UAS COE flights