Poster Nov19 V2
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This document discusses using satellite and surface sensors to detect agricultural smoke. It describes using SeaWiFS satellite data to obtain surface reflectance and aerosol optical thickness (AOT) through an algorithm. A case study of agricultural fires in Kansas in April 2003 is presented, with images showing smoke patterns from Rayleigh corrected satellite data and AOT, along with surface PM2.5 measurements and wind vectors. The study correlates PM2.5 data with AOT values from satellite images at matching latitudes and longitudes.
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This document discusses using satellite imagery to detect agricultural smoke pollution. It describes an algorithm to calculate aerosol optical thickness from SeaWiFS satellite data. A case study is presented analyzing smoke over Kansas from agricultural burning on April 10-13, 2003. Surface PM2.5 measurements are compared to the satellite-derived aerosol optical thickness values to correlate smoke pollution levels.
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2004-10-14 AIR-257: Satellite Detection of Aerosols
2004-10-14 AIR-257: Satellite Detection of Aerosols
2005-01-18 Combined Aerosol Trajectory Tool, CATT Illustrated Instruction Manual
2005-01-18 Combined Aerosol Trajectory Tool, CATT Illustrated Instruction Manual
2004-10-09 MANE-VU Status Report on CATT and FASTNET
2004-10-09 MANE-VU Status Report on CATT and FASTNET
2003-12-07 Siberian Biomass Burning Plumes Across the Pacific: Impact on Surf...
2003-12-07 Siberian Biomass Burning Plumes Across the Pacific: Impact on Surf...
2003-10-10 Measurement of free iron content in desert dust : effect on light ...
2003-10-10 Measurement of free iron content in desert dust : effect on light ...
2005-05-11 Current Air Quality Information ‘Ecosystem’ (Draft for Feedback)
2005-05-11 Current Air Quality Information ‘Ecosystem’ (Draft for Feedback)
Similar to Poster Nov19 V2
2004-11-18 Multi-Sensory Detection of Agricultural Smoke
This document discusses using satellite imagery to detect agricultural smoke pollution. It describes an algorithm to calculate aerosol optical thickness from SeaWiFS satellite data. A case study is presented analyzing smoke over Kansas from agricultural burning on April 10-13, 2003. Surface PM2.5 measurements are compared to the satellite-derived aerosol optical thickness values to correlate smoke pollution levels.
061018 Sea Wi Fs Work
The document discusses the challenge of characterizing particulate matter using remote sensing data due to the complex and multidimensional nature of aerosols. It presents results from using SeaWiFS satellite data combined with surface observations to characterize aerosols over the US from 2000-2003. Specific cases studied include quantifying smoke emissions from agricultural fires in Kansas in 2003 by analyzing the optical thickness and shape of smoke plumes. Summer climatologies of aerosol optical thickness over the US from 2000-2004 are also shown.
TU2.L10 - ACCURATE MONITORING OF TERRESTRIAL AEROSOLS AND TOTAL SOLAR IRRADIA...
The Glory mission aims to better understand the role of aerosols and solar irradiance in climate change through two instruments: the Aerosol Polarimetry Sensor (APS) and the Total Irradiance Monitor (TIM). APS will make more accurate measurements of aerosols using polarization to reduce uncertainties in aerosol properties. TIM will extend the 30-year record of total solar irradiance measurements with improved accuracy and stability. The NASA Glory spacecraft carrying these instruments is scheduled to launch in November 2010.
2005-10-31 Satellite Aerosol Climatology
This document summarizes research on using satellite data to analyze aerosols and smoke plumes. It discusses advances in fire detection from satellites and surface smoke detection. However, smoke quantification remains challenging due to issues like cloud interference and variable smoke reflectance. The document proposes developing a collaborative approach using information technology to integrate different data sources like satellites, models, and surface observations to better detect and quantify smoke emissions and predict their impact on air quality and visibility.
2005-06-06 Satellite Data Us in PM Management: A Retrospective Assessment
Satellite data has aided particulate matter science and management since the 1970s. Quantitative use of satellite data is still developing, requiring collaboration across disciplines. Satellite observations support describing spatial patterns of PM qualitatively and integrating surface and space data. Future applications may provide near real-time fire/smoke monitoring and multi-day PM/ozone forecasts to inform air quality management.
2003-11-02 Regional Haze
The document discusses several datasets that can provide information relevant to understanding regional haze, including limitations and opportunities for improvement. The IMPROVE dataset provides surface concentration and composition data but limited spatial, temporal, and physical property information. Other datasets like NAAPS and USDA shadowband radiometers can provide broader spatial coverage and additional data on aerosol properties. The ASOS visibility sensor network also has potential for regional haze analysis if raw extinction and humidity data were more accessible without averaging or truncation. There may be opportunities for collaborations between data providers and regional planning organizations to better extract and analyze information from these datasets.
2004-10-03 Co-retrieval of Aerosol and Surface Reflectance: Analysis of Daily...
The document discusses a method for co-retrieving aerosol and surface reflectance from daily SeaWiFS satellite data from 2000-2002. It describes preprocessing the raw satellite data, identifying preliminary clear days using a time series analysis approach, and further refining the surface reflectance estimates and removing residual haze through spectral analysis. Results show seasonal surface reflectance maps for the eastern and western US and an 8-month animation of the retrieved data.
0421026 Visib Satellite
http://capitawiki.wustl.edu/index.php/20041003_Co-retrieval_of_Aerosol_and_Surface_Reflectance:_Analysis_of_Daily_US_SeaWiFS_Data_for_2000-2002
2004-10-03 Co-retrieval of Aerosol and Surface Reflectance: Analysis of Daily...
The document discusses a method for co-retrieving aerosol and surface reflectance from daily SeaWiFS satellite data from 2000-2002. It describes preprocessing the raw satellite data, identifying preliminary clear days using a time series analysis approach, and further refining the surface reflectance estimates and removing residual haze through spectral analysis. Results show seasonal surface reflectance maps for the eastern and western US and an 8-month animation of the retrieved data.
2004-09-21 Natural Aerosol Event Detection and Characterization
The document discusses analyzing natural aerosol events such as dust and smoke over the United States. It outlines using multiple data sources and analytical approaches to identify the spatial, temporal, and chemical patterns of natural aerosols. Specific analysis includes identifying the local and intercontinental origins of dust events over the US using monitoring data, satellite images, and air quality models.
Direct_retrieval_of_isoprene_from_satellite-based_.pdf
This document describes a study that used satellite measurements from the Cross-track Infrared Sounder (CrIS) onboard the Suomi NPP satellite to directly measure atmospheric isoprene on a global scale. The authors developed an algorithm to retrieve isoprene column abundances from CrIS spectral measurements. They applied this algorithm over the Amazon region, a major isoprene source, and found the results were consistent with model predictions and in-situ measurements, demonstrating the feasibility of direct global satellite measurements of isoprene. Combining these measurements with formaldehyde observations could help constrain atmospheric oxidation over isoprene source regions.
2004-06-24 Co-retrieval of Aerosol and Surface Reflectance: Analysis of Daily...
The document summarizes a method for co-retrieving aerosol and surface reflectance from daily SeaWiFS satellite data from 2000-2002. It describes how aerosols scatter and absorb incoming radiation, obscuring the surface reflectance detected by the sensor. The method uses a time series analysis to identify clear "anchor" days with minimal aerosol scattering to retrieve the surface reflectance. It then uses a radiative transfer model along with the surface reflectance values to iteratively retrieve the aerosol optical thickness and refine the surface reflectance estimates. Results show seasonal changes in surface reflectance over eastern and western US regions.
2004-06-23 Retrieval of smoke aerosol loading from remote sensing data
This document summarizes a method for quantifying biomass burning aerosol loading using remote sensing data. It describes retrieving aerosol optical thickness from satellite imagery by subtracting surface reflectance from total reflectance. Daily aerosol maps are generated and cleaned to filter out clouds and other interferences. Continuing work includes estimating smoke fluxes and fusing multiple data sources to improve quantification of biomass burning for climate modeling.
Retrieval & monitoring of atmospheric green house gases (gh gs) through remot...
- Heavier precipitation and longer/more intense droughts are effects of climate change.
- Satellite measurements of greenhouse gases like CO2, CH4, N2O can provide global coverage but require complex retrieval algorithms to account for atmospheric conditions.
- Newer retrieval techniques like using merged fitting windows have improved accuracy for scenes with thin cirrus clouds compared to earlier techniques.
2004-11-13 The relationship between surface data and satellite data
The document discusses comparing surface particulate matter data from monitoring stations to satellite imagery data of aerosol optical thickness to better understand the relationship between the two. It describes a program that takes latitudes and longitudes of PM monitoring stations and finds the correlating pixel value from satellite images for the same day. Preliminary results are outputted with both PM and AOT values to allow for further analysis. The goal is to get a more complete picture of aerosols by looking at data from both the surface up and from satellites down.
2005-06-03 Aerosol Characterization and the Supporting Information Infrastruc...
The document discusses aerosol characterization and monitoring infrastructure. It describes the goal of attaining natural regional haze conditions by 2064 according to the Regional Haze Rule. It also discusses the National Ambient Air Monitoring Strategy and related initiatives like FASTNET and DataFed that pursue its recommendations around enhanced monitoring. Finally, it outlines some of the technical challenges around fully characterizing the multidimensional aerosol system.
2004-06-24 Satellite Data Us in PM Management: A Retrospective Assessment
This document discusses how satellite data has been used to study particulate matter (PM) over time. It notes that PM is a complex phenomenon that requires characterization across multiple dimensions, and that satellites provide valuable spatial context but require integration with other data sources to fully characterize PM. The document outlines several past examples where satellite data helped detect major aerosol events like dust storms and wildfire smoke plumes, and envisions future real-time monitoring systems to aid air quality management.
Dubey_GoMACCS
The document describes the Los Alamos GoMACCS Payload project which will conduct airborne measurements of black carbon aerosols over Houston and the Gulf of Mexico using a photo-acoustic instrument aboard an airplane. The project aims to quantify black carbon emissions and their optical properties, examine how combustion aerosols mix and age in the atmosphere, and investigate the impact of black carbon on clouds and atmospheric heating rates. Previous related experiments measuring black carbon in marine stratocumulus clouds are also briefly discussed.
2003-12-04 Evaluation of the ASOS Light Scattering Network
The document reports on an evaluation of the Automated Surface Observing System (ASOS) light scattering network. It analyzes data from 220 ASOS stations to evaluate the precision and performance of the ASOS visibility sensors. It finds that some stations show excellent correlation between duplicate sensors while others show poorer correlation or significant offsets. It also examines diurnal patterns and the effects of relative humidity on visibility readings.
0507 Event Analysis 051101 Event Seminar2
http://capitawiki.wustl.edu/index.php/20051112_Characterization_of_Aerosol_Events_using_the_Federated_Data_System%2C_DataFed
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2004-11-18 Multi-Sensory Detection of Agricultural Smoke
2004-11-18 Multi-Sensory Detection of Agricultural Smoke
TU2.L10 - ACCURATE MONITORING OF TERRESTRIAL AEROSOLS AND TOTAL SOLAR IRRADIA...
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2005-06-06 Satellite Data Us in PM Management: A Retrospective Assessment
2005-06-06 Satellite Data Us in PM Management: A Retrospective Assessment
2004-10-03 Co-retrieval of Aerosol and Surface Reflectance: Analysis of Daily...
2004-10-03 Co-retrieval of Aerosol and Surface Reflectance: Analysis of Daily...
2004-10-03 Co-retrieval of Aerosol and Surface Reflectance: Analysis of Daily...
2004-10-03 Co-retrieval of Aerosol and Surface Reflectance: Analysis of Daily...
2004-09-21 Natural Aerosol Event Detection and Characterization
2004-09-21 Natural Aerosol Event Detection and Characterization
Direct_retrieval_of_isoprene_from_satellite-based_.pdf
Direct_retrieval_of_isoprene_from_satellite-based_.pdf
2004-06-24 Co-retrieval of Aerosol and Surface Reflectance: Analysis of Daily...
2004-06-24 Co-retrieval of Aerosol and Surface Reflectance: Analysis of Daily...
2004-06-23 Retrieval of smoke aerosol loading from remote sensing data
2004-06-23 Retrieval of smoke aerosol loading from remote sensing data
Retrieval & monitoring of atmospheric green house gases (gh gs) through remot...
Retrieval & monitoring of atmospheric green house gases (gh gs) through remot...
2004-11-13 The relationship between surface data and satellite data
2004-11-13 The relationship between surface data and satellite data
2005-06-03 Aerosol Characterization and the Supporting Information Infrastruc...
2005-06-03 Aerosol Characterization and the Supporting Information Infrastruc...
2004-06-24 Satellite Data Us in PM Management: A Retrospective Assessment
2004-06-24 Satellite Data Us in PM Management: A Retrospective Assessment
2003-12-04 Evaluation of the ASOS Light Scattering Network
2003-12-04 Evaluation of the ASOS Light Scattering Network
More from Rudolf Husar
Exceptional Event Decision Support System Description
This slideshow is a brief description of the Exceptional Event Decision Support System Description (EE DSS).
130205 epa exc_event_seminar
This document summarizes Rudolf Husar's presentation on exceptional event analysis and decision support systems. It discusses using diverse data like satellites, models, and real-time monitoring to evaluate exceptional events like wildfires, dust storms, and their impact on air quality measurements. Specific examples are presented of exceptional events from dust from Asia and Africa impacting North America, as well as wildfires in Georgia impacting ozone and PM2.5 levels. Tools like the Navy Aerosol Analysis and Prediction System model and satellite data are highlighted for their ability to analyze the transport and impact of these aerosol plumes to support regulatory decisions. The goal of reconciliation of emissions, observations, and models is discussed to improve the evaluation of exceptional events
130205 epa ee_presentation_subm
Rudolf B. Husar presented at the EPA on exceptional smoke and dust events. He discussed using diverse data like satellites, models, and real-time data in a decision support system to evaluate these events. The NAAPS aerosol model assimilates satellite data to provide the 3D structure of smoke, dust, and other aerosols. Long-term NAAPS data from 2006 to present show the vertical distribution of different aerosols. Satellite data help reduce biases between surface PM measurements and air quality models.
111018 geo sif_aq_interop
The document discusses the Air Quality Community of Practice (AQ CoP) which facilitates interoperability and data networking for air quality and health applications. The AQ CoP has developed an open-source Air Quality Data Network (ADN) consisting of 7 interoperable air quality data servers that provide access to diverse observational and model datasets using international standards. The ADN demonstrates GEO principles and infrastructure but requires further development to support real applications. The main role of the AQ CoP is to connect different initiatives and enable the ADN network.
110823 solta11 intro
The workshop will bring together practitioners from Europe and North America to discuss progress and challenges in realizing an interoperable air quality data network. Participants will assess the current state of the pilot network, address key technical issues around data standards, server implementation and maintenance, and catalog design. The goal is to advance the network from a virtual concept to an operational reality, facilitating improved access, integration and reuse of air quality observation and model data.
110823 data fed_solta11
The document describes DataFed, a federated data system that provides non-intrusive integration of diverse environmental datasets using open standards. DataFed allows users to find and access datasets through a catalog and flexible tools for processing and visualizing the data. It facilitates publishing, finding, and accessing geospatial and environmental data through loose coupling of autonomous nodes and OGC web service protocols.
110510 aq co_p_network
This document discusses the emerging pattern in the air quality information ecosystem. It notes that individual data providers, scientists, and decision supporters are being replaced by groups that facilitate access, sharing, and integration. These include data portals, science teams, and decision support systems. The ecosystem involves multiple stages from observations to decisions, with value added at each stage through activities like data aggregation, scientific collaboration, and predictive analysis. This new structure is more efficient and supports the goals of initiatives like GEOSS.
110509 aq co_p_solta
The document discusses a workshop on networking air quality observations and models to support decision making. The workshop aims to (1) introduce participants and identify shared data and applications, (2) exchange best practices for interoperability, and (3) address technical and collaboration issues. The preliminary agenda covers assessing the current state of air quality interoperability and the technical requirements for improved data sharing and integration to support applications and decision support systems.
110410 aq user_req_methodology_sydney_subm
This document proposes a methodology to determine user requirements for Earth observations related to air quality management. The methodology is a bottom-up approach that (1) defines the major workflow steps of air quality management, (2) identifies the value-adding activities within each step, (3) determines the participants ("users") for each activity, and (4) establishes the Earth observation needs of each user. The methodology is intended to facilitate ongoing feedback to optimize the value of Earth observations for air quality management and reduce gaps. It provides a systematic way to account for user needs based on the specific activities and users involved in the air quality management process.
110408 aq co_p_uic_sydney_husar
This document provides a 2011 progress report for the GEOSS Air Quality Community of Practice (AQ CoP). It summarizes activities undertaken in 2011, including developing an air quality data server software to make data more accessible and interoperable, creating a user requirements registry to identify needed observations and models, and matching user needs with available data through a community catalog. It outlines ongoing projects and plans to further expand the air quality data network through coordination and workshops in 2011. The overall goal is to integrate air quality initiatives and make relevant data more findable, accessible and interoperable to support applications in air quality and health.
110105 htap pilot_aqco_p_esip_dc
The document describes the HTAP Data Network, which demonstrates a service-oriented approach to sharing atmospheric model outputs and air quality observations between various data servers using open standards. The main output is open-source WCS data server software and tools that allow different organizations to publish, find, and access distributed air quality data holdings in a interoperable way as part of the GEO Task DA-09-02d: Atmospheric Model Evaluation Network. The network aims to connect air quality data providers and users to enable effective air quality science and management.
100615 htap network_brussels
The REASoN Project will link NASA's air quality data, modeling, and systems to users in research, education, and applications. It aims to address hurdles users face in finding, accessing, evaluating, and merging relevant data. The project will utilize service orientation and interoperability standards to build an adaptable information infrastructure. This will include becoming a node on the air quality network, implementing standards for sharing data and tools, and participating in the GEOSS Architecture Implementation Pilot.
121117 eedss briefing_nasa_epa
This document summarizes the Exceptional Event Decision Support System (EE DSS) which uses NASA satellite data and the Navy Aerosol Analysis and Prediction System (NAAPS) model to help with air quality management decisions regarding exceptional events like smoke and dust events. The EE DSS has been developed since 2005 with NASA support and is now ready to serve air quality management at the federal, regional, and state levels. It can automatically detect and analyze events, display relevant data through interactive maps and cross-sections, and its tools have helped explain declines in exceptional event flags and PM2.5 concentrations from 2006-2012. Coordination is proposed with NASA and EPA for continued application of the EE DSS to smoke and dust events in
120910 nasa satellite_outline
This document discusses the usefulness of satellite observations for air quality applications and regulatory requirements. It outlines six key air quality requirements that satellites can help address, such as determining compliance with air quality standards and identifying long-range pollution transport events. The document also notes how satellites can help improve emissions estimates, characterize long-range transport of pollution, and increase interaction between air quality and remote sensing scientists. However, it cautions that relating satellite aerosol optical depth measurements directly to ground-level PM concentrations currently has too much uncertainty for regulatory or public health applications.
120612 geia closure_ofeo_ms_soa_subm
The document discusses tools for closing the gap between emissions, observations, and models of air quality. It proposes a service oriented architecture and network to integrate multiple datasets from observations, emissions, and models. This would allow iterative evaluation and improvement of models by comparing them to observations and adjusting emissions estimates to reduce biases. The end goal is to provide the best available composition of the atmosphere by integrating the best observations, emissions estimates, and models.
110414 extreme dustsmokesulfate
This proposal outlines a study on the influence of weather and climate events on air quality issues like dust, smoke, and sulfate events. The study would examine these events at both the continental/hemispherical scale and regional scale. At the continental scale, the analysis would demonstrate the role of global climate and emissions and identify tipping points for air quality regulations. At the regional scale, the study would analyze the effects of regional emissions, climate, and precipitation on air quality. The proposal describes tools and methods for conducting continental and regional air quality-climate analysis, including models, datasets, and satellite data. The goals are to support air quality management and identify implications for policy.
Aq Gci Infrastructure
The document discusses various applications of air quality data including regulatory exceptions, hemispheric transport projects, and atmospheric composition portals. It also describes the Air Quality Community of Practice's contributions to the GEOSS Common Infrastructure through developing an air quality community catalog and data finder to help users discover and access air quality data and metadata registered in the GEOSS clearinghouse and registry.
AQ GCI Infrastructure
The document discusses several air quality applications and projects including regulatory exception events, hemispheric transport modeling, and atmospheric composition portals. It also describes the Air Quality Community of Practice's contributions to the GEOSS Common Infrastructure through developing an air quality catalog and data finder to help users discover and access air quality data and metadata registered in the GEOSS Clearinghouse and Registry.
2004-06-20 Fast Aerosol Sensing Tools for Natural Event Tracking FASTNET
This document summarizes the FASTNET project which aims to better characterize natural haze conditions through the development of tools to access, archive, and analyze aerosol data. The project focuses on detailed analysis of major natural aerosol events like dust storms and wildfires. Initial efforts demonstrate the feasibility of using data on aerosol composition, transport patterns, and satellite imagery to identify the sources and pathways of dust transported from the Sahara desert to the eastern United States.
2004-06-24 Fast Aerosol Sensing Tools for Natural Event Tracking FASTNET Proj...
The document discusses the FASTNET project which aims to better characterize natural haze conditions through the analysis of major natural aerosol events like forest fires and dust storms. The goal is to develop tools for data access, archiving, and analysis to describe the spatial, temporal, and compositional features of natural aerosols. This will help understand their contribution to regional haze and establish baseline natural conditions as required by the Regional Haze Rule.
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Exceptional Event Decision Support System Description
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2004-06-20 Fast Aerosol Sensing Tools for Natural Event Tracking FASTNET
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“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.Main news related to the CCS TSI 2023 (2023/1695)
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
HCL Notes and Domino License Cost Reduction in the World of DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
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Poster Nov19 V2
- 1. Agricultural Smoke Detection with Satellite and Surface Sensors Erin Robinson Advisor, Rudolf Husar Center for Air Pollution Impact and Trend Analysis
- 2. Surface reflectance as obtained from SeaWiFS satellite ( http://daac.gsfc.nasa.gov/data/dataset/SEAWIFS/01_Data_Products/02_LAC/01_L1A_HRPT/index.html ) Rayleigh Corrected Minimum surface reflection which contains no aerosol – a “true” surface reflection AOT obtained through an algorithm which takes the difference between the original surface reflectance and the minimum surface reflection Algorithm for obtaining Aerosol Optical Thickness (AOT)
- 3. Case Study: Kansas Agricultural Smoke Zoomed in portion of Kansas, red dots represent fire pixels and yellow arrows represent the wind vectors. Heaviest smoke is seen in the AOT image in blue Rayleigh corrected SeaWiFS with fire pixels and wind vectors AOT with fire pixels and wind vectors
- 4. Case Study Kansas, April 10, 2003 Surface reflectance Yellow dots represent surface PM2.5 measurements taken at 12:00pm, AIRNOW AOT and wind vectors
- 5. Case Study Kansas, April 11, 2003 Case Study Kansas, April 12, 2003
- 6. Case Study Kansas, April 13, 2003
- 8. Agricultural Smoke Detection with Satellite and Surface Sensors