Monitoring Potential Spawning Grounds of Resident Fish Using Drones in aquatic-terrestrial ecotones-Dataset

Le résumé fourni par la source

This dataset supports the paper "Monitoring Potential Spawning Grounds of Resident Fish Using Drone Imagery". The study uses UAV images to identify potential spawning sites of resident fish in aquatic‑terrestrial ecotones. It contains two compressed image folders: study area1_images.zip (1.07 GB) and study area2_images.zip (77.65 MB), covering two study areas with original or pre‑processed drone imagery. code.txt (3.99 KB) provides code for basic image processing on the Google Earth Engine (GEE) platform, including calculation of NDVI, NDWI, VARI, and NGRDI indices, as well as Random Forest classification. Users are advised to read the README file first, and to cite both this Zenodo dataset and the associated paper when using the data.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.