Datasets:
metadata
pretty_name: IRRISIGHT
tags:
- remote-sensing
- irrigation
- agriculture
- earth-observation
license: cc-by-4.0
task_categories:
- image-segmentation
- image-classification
- object-detection
- visual-question-answering
language:
- en
multilinguality: monolingual
size_categories:
- 1M<n<10M
IRRISIGHT
IRRISIGHT is a large-scale multimodal dataset to address water availability problems in agriculture. It is designed to support supervised and semi-supervised learning tasks related to agricultural water use monitoring. Due to the space constraints, we uploaded the files across multiple repositories as follows: To download Pennsylvania and Maryland, use the current repository (OBH30/IRRISIGHT). To download Arizona, Arkansas, Florida, Georgia, New Jersey, North Carolina, Ohio, Oregon, and South Carolina, use "NibirMandal/IRRISIGHT".
Dataset Structure
Each sample is stored in an HDF5 file within the Data/ directory and contains:
rgb: Sentinel-2 RGB imageagri_index: Multiband vegetation indices (e.g., NDVI, NDWI, EVI)land_mask,crop_mask,irr_mask,subirr_mask: Label and context masks- Metadata attributes:
image_pathpolygon(WKT geometry)crs(spatial reference)split(train/test)text_prompt(structured soil/environmental description)
Tasks Supported
- Irrigation classification and segmentation
- Remote sensing-based object detection
- Multimodal learning with image + text
- Visual question answering on geospatial prompts
License
This dataset is licensed under CC BY 4.0.
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