- Mar 2020
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www.cnbc.com www.cnbc.com
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While employees are used to working remotely every day, working parents are learning how work remotely with kids at home following mass closures of schools and child-care providers.
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www.forbes.com www.forbes.com
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In the age of innovation, when you realize that an innovative, empathetic and inclusive organization is the winning recipe, then remote work starts to look like a huge opportunity.
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remote work can present an opportunity for all of us to think about what it truly means to collaborate and how it can improve our organizations
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www.drupal.org www.drupal.org
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- Feb 2020
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about.gitlab.com about.gitlab.com
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Don't let burnout creep up on you. Working remotely can allow us to create bad habits, such as working straight through lunch to get something finished. Once in a while this feels good, perhaps to check that nagging task or big project off the list, but don't let this become a bad habit. Before long, you'll begin to feel the effects on your body and see it in your work.
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- Dec 2019
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wellcomeopenresearch.org wellcomeopenresearch.org
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meeting of the Global Forum in Stellenbosch, South Africa, on 13 and 14 November 2018
I followed this remotely via Twitter (don't know whether other remote channels were available). My notes on this sit at https://github.com/Daniel-Mietchen/events/issues/508 .
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- May 2019
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en.wikipedia.org en.wikipedia.org
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In early occult and spiritualist literature, remote viewing was known as telesthesia and travelling clairvoyance. Rosemary Guiley described it as "seeing remote or hidden objects clairvoyantly with the inner eye, or in alleged out-of-body travel."
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- Nov 2018
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www.microsoft.com www.microsoft.com
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Holographic computing made possible
Microsoft hololens is designed to enable a new dimension of future productivity with the introduction of this self-contained holographic tools. The tool allows for engagement in holograms in the world around you.
Learning environments will gain ground with the implementation of this future tool in the learning program and models.
RATING: 5/5 (rating based upon a score system 1 to 5, 1= lowest 5=highest in terms of content, veracity, easiness of use etc.)
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- Oct 2017
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www.insidehighered.com www.insidehighered.com
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We are in a moment when telecommuting seems to be falling out of favor. The conventional wisdom about remote work is shifting. Once held up as the future of work, telecommuting is now viewed as antithetical to the needs of today’s agile organizations.
Not sure this is a wide-ranging trend.
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- Jul 2017
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Employees under 35 prefer office life to remote working
According to a recent survey, the younger generation prefer working from the office to remote working, unlike baby boomers, who would rather work from home.
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- Apr 2017
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www.getfpv.com www.getfpv.com
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- Mar 2017
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weworkremotely.com weworkremotely.com
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The list of remote jobs is fantastic.
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- Feb 2017
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www.mdpi.com www.mdpi.com
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Comparison of ITCD algorithms is challenging when there are differences in study focus, study area, data applied, and accuracy assessment method used. Before 2005, the few studies that compared methods generally tested approaches on a common dataset.
This difficulty in comparing algorithms (due to differences in forest type, location, and assessment strategy used for different algorithms) indicates a clear need for set of open data and centralized assessment to allow different methods to be competed against one another to determine the best routes forward.
This kind of approach has been very successful in other image analysis problems (e.g., ImageNET).
The National Ecological Observatory Network data seems ideal for doing something like this. Data is/will be available for a variety of different systems and with LiDAR, Hyperspectral, RGB, and field data for large numbers of plots.
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Additionally, it is often challenging to apply an algorithm developed in one forest type to another area.
This difficulty of applying across forest types is central to the challenges of developing approaches that can be applied to continental scale data collection like that being conducted by NEON. Overcoming this challenge will likely require incorporating ecological information into models, not just the remote sensing, and determining how to choose and adjust different approaches to get the best delineations possible based on information about the forest type/location.
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The most useful information that can be incorporated into ITCD studies is the expected crown size and stand density [25,67].
This kind of data is available for NEON plots and so these methods could potentially be well leveraged with NEON data. This would be particularly true if the NEON plot data could be used to develop a spatial model for these features that could be used to predict their values across space.
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Only 23 studies actually integrated both active and passive data sources into the ITCD procedure since 2000 (Figure 2).
Only a small fraction of studies combine LiDAR and Hyperspectral data for the crown delineation phase of analysis.
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Another limitation is that few approaches take full advantage of the information contained within remotely sensed data, e.g., using only one band of multispectral imagery [29] or only the canopy height model derived from LiDAR data [30]. Significant amounts of information are dismissed or neglected during data preparation or processing. The integration of multispectral data and discrete LiDAR data is commonly used to improve tree species classification [10] and fusion of passive and active remotely sensed data may reduce commission and omission errors in ITCD results [31].
Excellent point about the importance of integrating all available data to make the best possible crown delineations. In the case of the National Ecological Observatory Network Airborne Observation Platform methods that leverage the LiDAR, hyperspectral, and high-resolution RGB photographic data should have the potential to outperform methods that ignore components of this data.
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andymention.com andymention.com
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Tips for remote workers and remote-friendly companies.<br> Andy Mention https://twitter.com/amention<br> http://andymention.com/remote-tooling/
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- Nov 2016
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science.sciencemag.org science.sciencemag.org
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MODIS provides consistent information on active fires, with omission and commission errors quantified in past work using ground observations and higher-resolution satellite imagery [e.g., (29–31)]
More detailed data was required to supplement the MODIS based remote sensing to fully understand how it could be used for quantifying fire.
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- Jul 2016
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github.com github.com
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Please annotate this!
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