---
license: cc-by-4.0
task_categories:
- object-detection
language:
- en
tags:
- agriculture
- environment
size_categories:
- 1K<n<10K
---

# Land application field trial data

### Intro
This dataset is a repository of results from our Land Application Detection Model trial with two organizations. 
Land application is the process of disposing of agricultural animal waste by spraying it onto fields. [We developed a model](https://github.com/reglab/land-application-detection?tab=readme-ov-file) to detect these practices. 
This dataset represents the results of a real world trial to verify and label these detected spreads.

### Data description
#### Structured data
- sent_to_wdnr.csv
  - Each row is a detected spread that we forwarded to our partners at WDNR
- sent_to_elpc.csv
  - Each row is a detected spread that we forwarded to our partners at ELPC
- wdnr_responses.csv
  - Each row is a response to a detection from sent_to_wdnr.csv which contains a preliminary determination by WDNR staff as to whether the image looks like a spread and if it was determined to be likely spreading, the results of an investigation into said spread.
- elpc_responses_raw.csv
  - Each row is a response to a detection from sent_to_elpc.csv which is the results of the ELPC investigation into that detection through the use of citizen volunteers verifiying in person.
- elpc_responses_clean.csv
  - Same as the raw file but with corrected detection ids to deal with a data entry error.
#### Image data
- images/
  - This directory contains .jpeg images of satellite data fed into the model that were sent to either of the partners. Images were captured by [Planet](https://www.planet.com/) using the PlanetScope sensor, visual spectrum 3m images.


## Citation

`@misc {stanford_regulation,_evaluation,_and_governance_lab_2024,
	author       = { {Stanford Regulation, Evaluation, and Governance Lab} },
	title        = { land-app-trial (Revision b3d0e11) },
	year         = 2024,
	url          = { https://huggingface.co/datasets/reglab/land-app-trial },
	doi          = { 10.57967/hf/1733 },
	publisher    = { Hugging Face }
}`