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iGETT Remote Sensing Education
iGETT Remote Sensing Education
iGETT Remote Sensing Education
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This Channel includes resources for learning or teaching remote sensing concepts created by participant educators in the iGETT project. Integrated Geospatial Education and Technology Training - iGETT- is a U.S. National Science Foundation funded project (DUE 12050069( to support remote sensing education by providing faculty education and teaching resources. Resources include Student Handouts with step-by-step exercises focused on remote sensing using Landsat data. Participants are also creating Concept Modules that can be used by students and the workforce to understand concepts important for using remote sensing.
Комментарии
@LearnItalian24-mz7hg
@LearnItalian24-mz7hg 7 месяцев назад
Thank you for the training. The website and materials are not accessible anymore. Is it any problem or my location, Italy, is the problem.
@kiges
@kiges Год назад
How are the equations when using turntable and fixed camera? Is there a resource that explains the equations for the fixed camera and the rotating object?
@tamarakepreyeomgbuayakimi.1379
@tamarakepreyeomgbuayakimi.1379 2 года назад
Nice Tut mam , I learnt something new and nicer.
@thivatutorials4040
@thivatutorials4040 2 года назад
Best explanation lecture.. Thank you maam
@somdeepkundu2506
@somdeepkundu2506 2 года назад
Thank you
@AlbayrakProject
@AlbayrakProject 2 года назад
ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-NQd3Lxx0oFE.html Give a view for advance level i.e., Google Earth Engine, GIS-RS
@shaungerald23
@shaungerald23 2 года назад
Why do Protans and Deutans see similar shades of color?
@anastasiiaovchinnikova8410
@anastasiiaovchinnikova8410 3 года назад
Thank you very much for this video! Could you tell me, please, if detailed table of confidence levels (in %) exists (I mean the table on 4:12)? F.e., to know, which confidence level in % corresponds to Recore/Value 8?
@kahyangeng1919
@kahyangeng1919 3 года назад
A comprehend introduction which explains concepts clearly.
@khalideljabry2840
@khalideljabry2840 3 года назад
nice...bt boaring....
@YasirAmirKhanOffcial
@YasirAmirKhanOffcial 3 года назад
TRY this course on Image Processing first its good. www.udemy.com/course/digital-image-processing-made-easy/
@DRDOMDEAD
@DRDOMDEAD 3 года назад
Amazing video I never seen like this >> #PakGISRS
@luisangelbuenoramirez196
@luisangelbuenoramirez196 4 года назад
Ulala chulada
@carlmarlyana373
@carlmarlyana373 4 года назад
hi. can i know where can i get the Lλ value after performed DN to radiance?
@athlete265
@athlete265 3 года назад
the whole band is your l lemda after applying first formula ml*qcal+ap
@athlete265
@athlete265 3 года назад
use identify tool to check the pixels values
@zenebereta8235
@zenebereta8235 4 года назад
thanks so much
@omerreshi
@omerreshi 4 года назад
can you upload video on polarization and interferometry in microwave remote sensing
@omerreshi
@omerreshi 4 года назад
thanks sir
@sharefulhassan4833
@sharefulhassan4833 5 лет назад
Can you upload a video on how to extract AOD/AOT from Landsat? I need it for my PhD research.
@zainabkhan2475
@zainabkhan2475 5 лет назад
the formula for NDWI is Green- NIR/Green+NIR. for clear water reflects maximum in green and absorbs maximum in NIR.
@siekostar
@siekostar 5 лет назад
Spatial resolution isn't always the same as pixel size.
@patricksilva2345
@patricksilva2345 6 лет назад
Thank you for this very nice video, well explained. However I can not get the Power point presentation in your website neither in the link provided by you. Continue doing this great job.
@patricksilva2345
@patricksilva2345 6 лет назад
Best band combination explanation, Thank you!
@MrClevermind
@MrClevermind 6 лет назад
Good job gays , happy to see all these tutorials , they help me a lot.
@kmerrill4444
@kmerrill4444 10 месяцев назад
They gays are happy to get the job done!
@kathysll610
@kathysll610 6 лет назад
Do you have wechat?
@nayanchoudhary2494
@nayanchoudhary2494 6 лет назад
very helpful..thanq mam
@samuelkimani7801
@samuelkimani7801 6 лет назад
Many thanks for the great introduction tutorial to remote sensing!!!
@DRDOMDEAD
@DRDOMDEAD 3 года назад
Amazing video I never seen like this >> #PakGISRS
@SP-by6zh
@SP-by6zh 6 лет назад
hey, awsome videos !! May i ask, do you have a similar one, on Sentinel 2A data ?
@annjohnson4469
@annjohnson4469 6 лет назад
That is good idea for a new one! Will look into it today!
@aliakbaramirkhani3265
@aliakbaramirkhani3265 7 лет назад
very interesting and usefull
@Bastuun
@Bastuun 7 лет назад
I love youtube because of resources like this one!
@user-lo9zt7od6x
@user-lo9zt7od6x 7 лет назад
Hi, on the slide "Other applications" formula for Normalized Difference Birn Ratio is identical to NDMI. Apparently, shortwave-infrared (SWIR) should be used in this formula, and not MIR, which is correctly reflected in the table in the right part of the slide.
@abebemulugeta4622
@abebemulugeta4622 7 лет назад
this is important helped me to my question before i have on to which landsat for use
@NemesisFlo
@NemesisFlo 8 лет назад
A really good introduction for someone who is new to filters in remote sensing! But I found a very little mistake in your explanation: landsat 1 - 7 are 8 Bit sensors, which allows for distinguishing 256 grey values between 0 - 255 (this is right, but:) for landsat 8 - which is a 12 Bit sensor with 4096 grey values, the range is 0 to 4095, NOT 4096.
@safiazmi5209
@safiazmi5209 8 лет назад
just to be clear that mean we can change the pixels shape to be more like a circle shape but the industry don't want too because it take a lot of effort and programing???if we could built something like that it would be a game changer.how can I spoke to u guys because I been thinking about this for quiet some time and I believe it will work
@noj2nv
@noj2nv 9 лет назад
Very helpful. Thank you so much
@MA-qw8gw
@MA-qw8gw 9 лет назад
Thank you! This was very helpful for my remote sensing class.
@shibinwang1879
@shibinwang1879 9 лет назад
Thanks for uploading.
@signurlife
@signurlife 9 лет назад
4800就是sb
@wang45526401
@wang45526401 9 лет назад
where's part 2?