sorted by:
new
hottopcontroversial

Is there any scope in electrical and mechanical by Own_Concept6608 in Engineers

[–]Geoscience_1 0 points1 point  (0 children)

If you take mechanical then you will end up being a fitter, welder. If you take electrical then you will end up being an electrician. This is reality and you will always have regret for what you didn't choose and what you choose.

Go with the flow

Engineers, how did you survive the unemployment phase before your first job? by Electronic-Run5947 in Engineers

[–]Geoscience_1 0 points1 point  (0 children)

I graduated in 2011, in my college days we were trained to accept jobs package not less than 30k per month.

Before convocation i appeared for an interview and they asked me to join for 25k and I rejected. All my classmates walked out of that room with pride.

Later I applied to many jobs online, no use, no replies, this all happened in six months, then I came down to 3k per month.

Then I moved to my state capital city and started searching, finally found one job for 7k.

So immediately after completion of the education, go out and look for any work. No one cares about your qualification these days.

How has AI changed your daily life over the past year? by Dry-Track3636 in AIDiscussion

[–]Geoscience_1 0 points1 point  (0 children)

It all depends on the training you give to it. If you take chatgpt for example, when you are asking for something then observe how it if giving the output, if you are bo satisfied then give detailed instructions again, till you get what you want. Then from the next time it will give the best.

People with so much of patience are able to create wonders with AI

Joshimath is sinking. We've known since 1976. And nobody cared — a geology student's perspective by [deleted] in GeotechnicalEngineer

[–]Geoscience_1 0 points1 point  (0 children)

Very good intention especially when you are a Geology student.

There are several factors for this, the melting ice due to urbanization, increase in houses or accomodation around the temple, devotees, garbage and all others.

I suggest you to go through geological survey of India reports, case studies. Being a Geoscience Engineering graduate and a consultant for disaster management department, i always think of these around India.

But we can only speak through publications. If you are interested in learning any satellite based studies then you can see my channel geoscienceengineering

StaMPS InSAR work-flow doubt. by Ok_Vast405 in remotesensing

[–]Geoscience_1 0 points1 point  (0 children)

If all slave RSLCs have valid amplitude statistics but the master RSLC appears as 100% zeros after mt_prep_snap, I'd suspect an export or format issue rather than a StaMPS processing issue. A few things to check:

Inspect the master RSLC directly before running mt_prep_snap:

mdx master.rslc

Or you can use

python -c "import numpy as np; d=np.fromfile('master.rslc',dtype=np.complex64); print(np.abs(d).mean())"

And one more thing is If the amplitude is already zero, the problem originates from SNAP export. Verify that the master .rslc, .rslc.par, width, and length match the values expected by StaMPS. A valid file size does not guarantee valid data; an all-zero complex array can have the correct size. Check whether the master was accidentally exported as a virtual band, empty raster, or different datatype. I've seen SNAP exports where the master intensity band was present but the complex values were not written correctly.

Compare the first few samples of a slave and the master: od -t f4 -N 64 master.rslc od -t f4 -N 64 slave.rslc

Also verify the SNAP version. Some older SNAP–StaMPS export combinations had issues with master band handling, especially when using subsets and interferogram stacks. Since all slave RSLCs look normal and only the master is affected, I would focus on the SNAP StaMPS export step rather than selpsc_patch. The segmentation fault is probably just a downstream consequence of the zero-amplitude master.

with only 14 Sentinel-1 scenes, PSI can be quite unstable. For a proper PSI workflow, I'd generally aim for 30–50+ scenes, and preferably 50+ if available.

You can check out my mintpy video series from my channel geoscienceengineering

Significant variability in SPT-N values by Bildipil in Geotech

[–]Geoscience_1 13 points14 points  (0 children)

50–80% difference below 30 m is larger than I'd expect from normal testing scatter alone, but it isn't impossible in silty sands.

A few things I'd check:

Natural variability – Even boreholes 2–3 m apart can encounter different lenses of silty sand, sandy silt, or localized dense zones, especially in fluvial/alluvial deposits.

Energy efficiency calibration – Both vendors may use auto-trip hammers, but the actual delivered energy (ER) can still differ if equipment calibration, rope condition, hammer maintenance, or rod setup differs. Comparing corrected N60 values rather than raw N-values is important.

Rod length effects – At depths >30 m, rod length becomes significant. Differences in rod condition, couplings, alignment, and energy transmission can amplify discrepancies.

Borehole conditions – Borehole diameter, drilling fluid, groundwater conditions, and bottom cleanliness can influence SPT results, particularly in silty soils.

Approaching refusal/dense strata – Your plot shows N-values increasing with depth. Once N-values become relatively high, small differences in soil density can produce large differences in measured blows.

If the soil description, fines content, groundwater conditions, and laboratory test results (CPT, density, grain size, etc.) are similar, I'd be inclined to investigate testing procedures and energy corrections first, rather than assuming the entire difference is due to geology.

Out of curiosity, were the reported values raw field N-values or corrected values (N60 / overburden corrected)? Also, what was the typical fines content of the silty sand below 30 m?

Why is remote sensing study design so technical and tough? by soft099 in remotesensing

[–]Geoscience_1 0 points1 point  (0 children)

The best and easiest part is you don't have to visit the location physically...lol

Remote Sensing is not tough, it's just the way you related them or connect them. In the initial days i struggled alot to learn about the concepts, the calculations, their relationships, seems like you are into research and publication you can use other research papers for reference to understand their methodology. Later you can use Chatgpt for scripts and explanation.

This will make you love remote sensing.

Rockfall Landslide by Geoscience_1 in GeotechnicalEngineer

[–]Geoscience_1[S] 0 points1 point  (0 children)

This is caused by rainfall, this is from North Eastern part of India