ArcSWAT: Covers hydrological simulations and weather data preparation using R; use it for any research area, and scripts are available for download.
SWAT CUP: The simulated flow may not always completely
match the observed flow. In this scenario, we must establish hydrological
parameters. SWATCUP handles it automatically and recommends the best match
settings.
GROUNDWATER: This course covers the use of GIS for
groundwater investigation using theoretical parameters. Create a live project
from scratch.
LANDUSE LANDCOVER: Covers landuse classification of
high-resolution data. You will learn how to correct error pixels such as urban
and barren land, or agriculture and natural vegetation. It covers most classification
methods, such as machine learning, supervised, unsupervised, and pixel-level
recoding of challenging images.
FUTURE LANDUSE: Remote sensing has impressive capabilities
to generate future landuse classified image of 2090, even if it is not captured in the
present; see machine learning in action. No coding is required.
BASIC GIS: This course covers more than a university lab
class if you are new to GIS. This course will teach you about 3D, data
analysis, and satellite image processing. 11hrs of hands-on videos of practicals.
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