GIS and Remote Sensing Course in Ecology, Biodiversity & Species Distribution Modeling

GIS and Remote Sensing Course in Ecology, Biodiversity & Species Distribution Modeling

Ecology and biodiversity conservation today depend heavily on spatial science. Understanding where species occur, how habitats are changing, where biodiversity is under threat, and how climate impacts ecosystems requires GIS, Remote Sensing, and GeoAI-based ecological modeling.

This specialized Space Borne course is designed to train students in Ecological GIS, Biodiversity Mapping, Habitat Analysis, and Species Distribution Modeling (SDM) — a highly advanced and research-oriented geospatial domain.

It is ideal for:

```
Zoology students
```
```
Botany students
```
```
Forestry students
```
```
Environmental science students
```
```
Wildlife researchers
```
```
Conservation NGOs
```
```
GIS professionals
```

🦋 What is GIS in Ecology & Biodiversity?

GIS helps ecologists to spatially analyze:

```
Vegetation cover
```
```
Wildlife habitats
```
```
Migration corridors
```
```
Biodiversity hotspots
```
```
Species occurrence zones
```
```
Climate suitability
```

Remote sensing provides the large-scale environmental variables needed for habitat assessment.

🚀 Why This Course is Highly Important?

Because current ecological work needs:

```
Habitat conservation planning
```
```
Endangered species protection
```
```
Human-wildlife conflict mapping
```
```
Forest fragmentation studies
```
```
Climate change impact on biodiversity
```
```
Protected area management
```

All these are now GIS-driven.

🎯 COURSE OBJECTIVE

Students will learn to:

✔ Prepare ecological base layers
✔ Analyze forest fragmentation
✔ Map biodiversity richness
✔ Develop habitat suitability models
✔ Perform species distribution prediction
✔ Integrate climatic and terrain variables
✔ Apply machine learning in biodiversity analysis

📚 COMPLETE COURSE MODULES

🟢 Module 1: Fundamentals of Ecological GIS

Introduction to ecology and biodiversity datasets

```
Spatial ecology concepts
```

GIS applications in conservation biology

🟢 Module 2: GIS Software Training

```
Working with QGIS
```
```
Working with ArcGIS and ArcGIS Pro
```
```
Habitat polygon preparation
```
```
Ecological attribute database
```

🎯 Practical:

```
Protected area base map
```

🟢 Module 3: Remote Sensing for Ecosystem Mapping

```
Sentinel/Landsat imagery
```
```
Vegetation cover interpretation
```
```
Temporal habitat change detection
```

🎯 Practical:

```
Forest cover classification
```

🟢 Module 4: Vegetation & Biomass Indices

Additional:

```
EVI
```
```
SAVI
```
```
NDWI
```

🎯 Practical:

```
Vegetation vigor and density map
```

🟢 Module 5: Biodiversity Richness Mapping

```
Species inventory point plotting
```
```
Species abundance layers
```
```
Richness hotspot generation
```

🎯 Practical:

```
Biodiversity hotspot map
```

🟢 Module 6: Habitat Suitability Analysis

```
Land cover suitability
```
```
Water proximity
```
```
Elevation suitability
```
```
Slope suitability
```
```
Human disturbance factors
```

🎯 Practical:

```
Habitat suitability zonation
```

🟢 Module 7: Fragmentation & Corridor Analysis

```
Patch analysis
```
```
Edge density
```
```
Connectivity corridors
```
```
Barrier effect study
```

🎯 Practical:

```
Wildlife corridor mapping
```

🟢 Module 8: Species Distribution Modeling (SDM)

```
Species occurrence point data
```
```
Environmental variable preparation
```
```
Probability surface generation
```
```
Suitability classes
```

🎯 Practical:

```
Potential species occurrence map
```

🟢 Module 9: Climate Change & Biodiversity Vulnerability

```
Temperature/rainfall anomaly
```
```
Habitat shift prediction
```
```
Vulnerability zones
```

🎯 Practical:

```
Climate risk map for species
```

🟢 Module 10: Human-Wildlife Conflict GIS

```
Settlement proximity
```
```
Crop damage zones
```
```
Road impact assessment
```
```
Conflict hotspot generation
```

🎯 Practical:

```
Conflict risk map
```

🟢 Module 11: Python & GeoAI for Ecology

```
Basics of Python
```
```
Raster automation
```
```
Species probability modeling
```
```
Machine learning classification
```

🟢 Module 12: Final Integrated Ecological Project

Students complete:

Species Distribution and Biodiversity Conservation Suitability of a Selected Protected Forest

Deliverables:

```
Forest cover map
```
```
NDVI map
```
```
Biodiversity richness map
```
```
Habitat suitability map
```
```
Corridor map
```
```
Species probability distribution map
```

🧠 SOFTWARE + DATASETS COVERED

Software:

```
QGIS
```
```
ArcGIS
```
```
ArcGIS Pro
```
```
Google Earth Engine
```
```
MaxEnt concept
```
```
MS Excel / Python
```

Datasets:

```
Sentinel imagery
```
```
DEM
```
```
Species occurrence GPS points
```
```
Protected area boundaries
```
```
Climate rasters
```
```
Road/settlement layers
```

💼 CAREER OPPORTUNITIES

```
Ecological GIS Analyst
```
```
Biodiversity Mapping Specialist
```
```
Wildlife GIS Consultant
```
```
Conservation Research Analyst
```
```
Species Distribution Modeler
```

NGO / Forest Department GIS Professional

⏳ COURSE DURATION

1 Month / 45 Days / 2 Months Advanced

📞 Contact

Space Borne
info@spaceborne.in
6371303843

Quick Links

About us

Help Centre

Verify Certificate

Contact

About Us

Terms of Use

Our Team

How It Works

Accessibility

Support

FAQs

Terms & Conditions

Privacy Policy

Career

Courses

Certificate

Advance Certificate

Diploma

PG Diploma