Best Online GIS & Remote Sensing Courses for Students and Researchers (ArcGIS, ERDAS, SWAT, Machine Learning)
Looking for affordable and high-quality GIS tutorials?
Here is a curated list of the best GIS and Remote Sensing courses covering ArcGIS, ERDAS, SWAT modeling, groundwater mapping, crop yield estimation, and land use classification with machine learning.
These courses are designed for Master’s and PhD students in Civil Engineering, Water Resources, Environmental Science, and GIS-related fields.
✅ Lifetime access – learn at your own pace
✅ Research-focused content – ideal for thesis and dissertation work
✅ Affordable pricing with discount codes
✅ Step-by-step project-based tutorials
✅ Globally trusted by 11,000+ students
Enroll today and upgrade your skills in GIS, Remote Sensing, Hydrology, and Machine Learning applications.
Course 1: Landuse Landcover with Machine Learning Using ArcGIS Only
Highlights:
- Hands-on
training for LULC classification using ArcGIS
- Covers
supervised machine learning methods in detail
- Accuracy
assessment and error matrix explained
- Includes
complete project workflow with real datasets
- Practical
applications for environmental and hydrological studies
👉 Why
Enroll?
This course is ideal for postgraduate and PhD students focusing on land
use mapping, urban expansion, and environmental monitoring. Juniors can use
these techniques directly in research and thesis projects.
Course 2: Crop Yield Estimation using Remote Sensing and GIS ArcGIS
Highlights:
- Step-by-step
crop yield estimation using GIS & RS
- Explains
vegetation indices (NDVI, EVI) for agriculture
- Integration
of satellite data with field data
- Focus
on agricultural productivity assessment
- Methods
useful for food security and sustainability research
👉 Why
Enroll?
This course supports agricultural engineering and water resource scholars
who aim to apply GIS and RS in precision agriculture and yield forecasting.
📌 Course 3: SWAT CUP Calibration Validation and Write Values to ArcSWAT
Highlights:
- Detailed
walkthrough of SWAT-CUP calibration/validation
- Writing
optimized parameters back to ArcSWAT
- Performance
evaluation with statistical indicators
- Real
watershed data used for practice
- Application
in hydrology, climate change, and water resource projects
Perfect for Civil & Water Resources Engineering students, this course bridges the gap between theory and practice in watershed modeling
📌 Course 4: Complete Remote Sensing and GIS - ArcGIS – ERDAS
Highlights:
- Covers
fundamentals of GIS and Remote Sensing
- Training
in ArcGIS and ERDAS software
- Image
preprocessing and classification explained
- Map
creation and project workflows
- Beginner-friendly
yet research-oriented
👉 Why
Enroll?
This course is a foundation builder for juniors new to GIS/RS. A must
before advancing to higher-level research applications.
Course 5: Groundwater
Potential Zones GIS - Complete Project ArcGIS
🔗 https://www.udemy.com/course/groundwater-potential-zones-using-gis-full-project-arcgis-tutorial/?referralCode=E9AA1EA270E693B258F7
Highlights:
- Identification
of groundwater potential zones using GIS
- Multi-criteria
decision-making techniques applied
- Integration
of thematic layers (soil, slope, rainfall, etc.)
- Full
project from data preparation to final maps
- Research-ready
methodology for water resource management
👉 Why
Enroll?
Vital for hydrology and civil engineering students working on
groundwater exploration and watershed management.
📌 Course 6: Land Use Land Cover Classification GIS, ERDAS, ArcGIS, ML
🔗https://www.udemy.com/course/land-use-land-cover-classification-gis-erdas-arcgis-envi/?referralCode=B7222B25B56B752C66C8
Highlights:
- Multi-software
approach (ERDAS, ArcGIS, ML techniques)
- Covers
classification algorithms in detail
- Practical
accuracy assessment methods
- Applications
in climate and land management studies
- Research
project workflows included
👉 Why
Enroll?
Helps students gain multi-tool expertise and flexibility for publishing
high-quality LULC research papers.
📌 Course 7: Future Land Use with GIS - TerrSet - CA Markov – ArcGIS
🔗 https://www.udemy.com/course/prediction-of-future-land-use-remote-sensing-and-gis-terrset/?referralCode=55D498C3E81B84CCBB4C
Highlights:
- Future
land use prediction using CA-Markov model
- Step-by-step
workflow in TerrSet and ArcGIS
- Focus
on urban growth and land dynamics
- Case
study for practical understanding
- Supports
policy and planning research
👉 Why
Enroll?
Highly valuable for urban planning, civil engineering, and GIS researchers
working on future land cover/land use change modeling.
📌 Course 8: ArcSWAT Model with ArcGIS - Run for Any Study Area – GIS
🔗 https://www.udemy.com/course/running-arcswat-model-with-arcgis-for-any-study-area-gis/?referralCode=16E2A8D9CA5B90DC5CE5
Highlights:
- Complete
ArcSWAT model setup in ArcGIS
- Input
preparation (DEM, land use, weather, soil)
- Running
simulations for hydrology research
- Output
interpretation for water resources planning
- Applicable
for any watershed worldwide
👉 Why
Enroll?
This is a core course for hydrology students, providing strong practical
skills for thesis, PhD research, and applied projects.
No comments:
Post a Comment