Nuevos Webinar PANalytical
EcoSpec: Linking hyperspectral remote sensing and plant activity
Martes 25 de Abril de 2017
Horario: 1:00 PM MDT | 19:00 UTC
This webinar focuses around the application of plant activity response and features ASD’s FieldSpec® 4 Standard-Resolution Spectroradiometer.
In this webinar you will learn about:
• How Argonne is using hyperspectral remote sensing and field measurements to study plant interactions with atmosphere within a day and across the season.
• Components and operation of the autonomous high temporal frequency hyperspectral reflectance collection—EcoSpec system (collecting white reference data before every data collection from the land surface, at each position around the tower, so that hyperspectral data is accurately converted to reflectance values).
• How hyperspectral reflectance data may be used to estimate plants’ response to their surrounding environment (photosynthesis and respiration).
• How this project, through the understanding of local climate and weather patterns and their interactions with the land surface, can help create better climate forecasting for the future.
Panelista: Yuki Hamada; Assistant Biophysical Scientist/Remote Sensing, Argonne National Laboratory (ANL). Yuki holds a Ph.D. in Geography from UC Santa Barbara and San Diego State University. Yuki is involved in the Environmental Science Division (EVS) of Argonne National Laboratory, in their Ecological Science & Environmental Risk Department. She is a specialist in terrestrial biophysical remote sensing, with responsibility for environmental research, assessments, and monitoring related to natural and anthropogenic perturbations.
Nuevos Webinar EDAX
EBSD OIM Analysis™ with NPAR™ or How to Salvage your Datasets!
Jueves 27 de Abril de 2017
Horario: 11:00am Eastern Daylight Time
The highest quality EBSD analyses prefer the highest quality pattern collection. However, limited acquisition time, non-ideal sample perfection, and restricted SEM setup do not provide optimum collection quality. Many times the resultant OIM maps will have a severely diminished quality and appear to be useless. NPAR™ is a routine that can recover the greatest amount of quality available in the data set.
This webinar will present examples of data sets that were salvaged by the technique.
Panelista: Dr. Patrick Camus – Director of Research and Innovation, EDAX