Pinned Repositories
amrit-thapa-2044
My personal repository
amrit-thapa-2044.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
class_project_636_UAF
comparison of InSAR and GPS data
colab_miscellaneous
daily_snow
code to process daily MODIS snow product (MOD10A1 and MYD10A1)
essd_modis_paper
Filtering MOD10A2 and MYD10A2 collection 6 products to generate MOYDGL06* product [Muhammad and Thapa, 2019, https://doi.org/10.1594/PANGAEA.901821]
ICIMOD_PAK_SNOW_TRAINING_2022
This code is developed for a training entitled "Remote sensing and field-based glacier and snow monitoring in Pakistan".
ICIMOD_permafrost_training_2022
R_Script_InSAR
amrit-thapa-2044's Repositories
amrit-thapa-2044/colab_miscellaneous
amrit-thapa-2044/R_Script_InSAR
amrit-thapa-2044/daily_snow
code to process daily MODIS snow product (MOD10A1 and MYD10A1)
amrit-thapa-2044/class_project_636_UAF
comparison of InSAR and GPS data
amrit-thapa-2044/ICIMOD_PAK_SNOW_TRAINING_2022
This code is developed for a training entitled "Remote sensing and field-based glacier and snow monitoring in Pakistan".
amrit-thapa-2044/amrit-thapa-2044
My personal repository
amrit-thapa-2044/amrit-thapa-2044.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
amrit-thapa-2044/essd_modis_paper
Filtering MOD10A2 and MYD10A2 collection 6 products to generate MOYDGL06* product [Muhammad and Thapa, 2019, https://doi.org/10.1594/PANGAEA.901821]
amrit-thapa-2044/GEOS636_PAG
GEOS 636 Programming and Automation for Geoscientists (PAG) (U. Alaska Fairbanks)
amrit-thapa-2044/ICIMOD_permafrost_training_2022
amrit-thapa-2044/GEOS_F658_UAF
Code developed as a component of the GEOS_F658 course at the University of Alaska Fairbanks.
amrit-thapa-2044/GEOS_F659_predict_landslide_himalaya
predict landslide using pretrained U-Net Model
amrit-thapa-2044/R_with_google_colab
amrit-thapa-2044/SlopeMotionHKH
amrit-thapa-2044/Snow_Water_Equivalent_ICIMOD
The scripts here will be used to Get Statistics from FewsNET datasets and then used for visualization of parameter 'SWE_instance' which gives the amount of snow accumulated that eventually connects with water source.