Tuesday 11 October 2022

Online GIS courses

Just click on links Discount applied.

Dear Research Scholars,

GIS courses updated with machine learning and R. Discount is applied on all links valid for 5 Days.

The ArcSWAT course is updated with more than 2 hr 26 minutes of video. Now it covers weather data management using R programming. It was experienced that weather data for swat was not available. So new section is added for data management.

Link: https://www.udemy.com/course/running-arcswat-model-with-arcgis-for-any-study-area-gis/?couponCode=SWATOFF90


Sometimes we found simulated flow does not perfectly match with observed flow. In this case, we need to set hydrological parameters. SWATCUP do it automatically and suggests the best fit values. That values are again written to SWAT to perfectly run and calibrated the swat model for a specific watershed. That also called sensitivity analysis.

Link: https://www.udemy.com/course/swat-cup-calibration-validation-and-write-values-to-arcswat/?couponCode=SWATCUP90OFF


If new to GIS, then this course covers more then a university lab class. Covers everything about remote sensing and GIS, including different ways of georeferencing, Mosiac, excel to GIS, hydrology, 3D views, adding data from servers,  and much more GIS  more than 11 hrs tutorial. Only 99% practical. Covering ArcGIS, Erdas, and some QGIS.

Link: https://www.udemy.com/course/complete-basic-gis-tasks-arcgis-erdas-remote-sensing/?couponCode=GISOFF90


This covers the application of GIS for groundwater exploration based on theoretical parameters linked with GIS. The same method will be used for drought or flood.

Link: https://www.udemy.com/course/groundwater-potential-zones-using-gis-full-project-arcgis-tutorial/?couponCode=GWDOFF90


Covers landuse classification, Landsat 8, managing of high-resolution data of Sentinal-2, Pixel editing of wrong classified pixels. Post correction of classified image, Number of methods covered, like machine learning-based classification and all other supervised and unsupervised methods.

Link: https://www.udemy.com/course/land-use-land-cover-classification-gis-erdas-arcgis-envi/?couponCode=LANDUSEOFF90


Use the output of landuse classification as input for terrset based on CA Markov model. Predict and generate a map of the future landuse of 2050 or 2090 by Machine learning.

Link: https://www.udemy.com/course/prediction-of-future-land-use-remote-sensing-and-gis-terrset/?couponCode=CAMARKOVOFF90