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Glacial Lake Mapping Using Remote Sensing Geo-Foundation Model
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doi.org/10.1016/j.jag.2025.104 <-- shared paper
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HIGHLIGHTS:
• Proposed U-ViT model based on Prithvi GFM for multi-sensor glacial lake mapping.
• Achieved an F1 score of 0.894 on Sentinel-1&2, surpassing CNNs scoring below 0.8.
• Maintains strong performance with 50% less training data, proving efficiency.
• Excels in detecting small lakes (<0.01km²) and handling clouds and complex terrains..."
#GIS #spatial #mapping #glaciallake #GeospatialFoundationModel #satellite #Sentinel #GaoFen #remotesensing #earthobservation #model #modeling #climatechange #glacial #glacier #melt #melting #UViT #deepleanring #AI #framework #performance #metrics #opensource

"managers should work to identify and reduce sources of stress for their teams, since working under more-stressful conditions can impact employees’ consistency in following security protocols (not to mention their well-being and effectiveness across a slew of other metrics). In particular, especially as remote work becomes more common, managers should be cognizant of the psychological burden to employees of working under systems that monitor them. Surveillance systems that seemed reasonable in the office might feel intrusive at home — and even if there’s no obvious, direct fallout, our research suggests that the added stress could indirectly make people more likely to break security protocols."—Clay Posey & Mindy Shoss

Research: Why Employees Violate Cybersecurity Policies >

hbr.org/2022/01/research-why-e

Harvard Business Review · Research: Why Employees Violate Cybersecurity PoliciesIn the face of increasingly common (and costly) cyberattacks, many organizations have focused their security investments largely on technological solutions. However, in many cases, attacks rely not on an outsider’s ability to crack an organization’s technical defenses, but rather on an internal employee knowingly or unknowingly letting a bad actor in. But what motivates these employees’ actions? A recent study suggests that the vast majority of intentional policy breaches stem not from some malicious desire to cause harm, but rather, from the perception that following the rules would impede employees’ ability to get their work done effectively. The study further found that employees were more likely to violate policy on days when they were more stressed out, suggesting that high stress levels can reduce people’s tolerance for following rules that seem to get in the way of doing their jobs. In light of these findings, the authors suggest several ways in which organizations should rethink their approach to cybersecurity and implement policies that address the real, underlying factors creating vulnerabilities.

It's gratifying to see my insights about the #techEconomy—especially #ITlayoffs in #cybersecurity and #softwareDevelopment partly driven by the current #AI hype cycle—amplified by peers & media.

"AI can't support what it doesn't know," says James Stanger, the chief technology evangelist at CompTIA, a nonprofit trade association for the US IT industry…"If you've got toxic companies that are interested in that binge-and-purge, on-and-off hiring of developers, I'm not sure they're going to create very good products." (Hoover)

It supports my own #codingAI #metrics that show a human solving a problem the AI never completed even with 400% more time & expert prompting. Confirmation bias? Possibly. Feeling seen & heard? You bet!

  1. Hoover, A. 2025. The career ladder for software engineers is collapsing. Business Insider. businessinsider.com/career-lad

  2. Jacobs, T.A. 2025. AI can’t replace IT professionals yet. LinkedIn. linkedin.com/posts/todd-a-jaco

Business Insider · The career ladder for software engineers is collapsingBy Amanda Hoover

The opening sentence of this: "one of the most popular academic social networking sites is [ResearchGate]"

🤔 This may be factually correct but it really doesn't feel like it anymore. I always felt that RG was, frankly, $hit, but accepted that it appeared popular among scholars. But today? I rarely come across it.

The Now-Defunct #ResearchGate Score and the Extant Research Interest Score: A Continued Debate on #Metrics of a Highly Popular #Academic #SocialNetworking Site doi.org/10.1515/opis-2024-0011

De Gruyter · The Now-Defunct ResearchGate Score and the Extant Research Interest Score: A Continued Debate on Metrics of a Highly Popular Academic Social Networking SiteAcademics might employ science social media or academic social networking sites (ASNSs), such as ResearchGate (RG), to showcase and promote their academic work, research, or published papers. In turn, RG provides usage statistics and performance metrics such as the now-defunct RG Score and the Research Interest Score (RIS) that offer a form of recognition about a researcher’s popularity, or how research is being used or appreciated. As part of a larger appreciation of how ASNSs contribute to knowledge sharing, in this article, the RG Score is reappraised, reflecting on why this metric may have been abandoned while reflecting on whether RIS is any better as an author-based altmetric. Similar to the RG Score, RG does not transparently indicate the precise equation used to calculate RIS, nor is any rationale provided for the weighting of its four factors (other reads, full-text reads, recommendations, and citations), which carry a relative weighting of 0.05, 0.15, 0.25, and 0.5, respectively. Ultimately, the responsible use of RG’s altmetrics lies in users’ hands, although caution is advised regarding their use to formally characterize or rank academics or research institutes.

OKRs identify the targets we're aiming for when it's too uncertain to precisely forecast, but we still need to give ourselves a progress or success measure to aim for.

The question I ask when creating Key Results is: "What empirically-measurable impact would be truly incredible to achieve, if everything goes right?" and "How will we know -- objectively -- that we're making progress toward our objective?"

Read more 👉 lttr.ai/AbnS0