Landcover Classification Data for Thiruvananthapuram District

Landcover classification data and code for a tropical region in Thiruvananthapuram district, India. The 1.9 GB dataset includes training and testing data for machine learning models, but excludes the raw imagery used for prediction. Author Manish Ravi published it on figshare under a CC-BY-4.0 license in May 2026.

Use Cases

• Training machine learning models for landcover classification based on the included training data.
• Testing the performance of landcover mapping algorithms based on the included testing data.
• Applying geospatial analysis techniques to a tropical, heterogenous landscape.
• Developing workflows for landcover prediction using separate raw imagery stacks.
• Comparing classification results for the Thiruvananthapuram district region.

Strengths

• Includes both training and testing data for model development.
• Focuses on a specific heterogenous tropical landscape in Thiruvananthapuram district.
• Published under an open CC-BY-4.0 license.

Limitations

• Raw imagery used for prediction is not included in the dataset.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

Data used in training and testing machine learning models for landcover mapping.

Freshness

Last updated 2026-05-08 10:14:13; freshness should be verified.

Geography

Thiruvananthapuram district, a tropical region at the tip of the Indian peninsula.