DOI10.5281/zenodo.13933451Zenodo13933451MaRDI QIDQ6692654
Dataset published at Zenodo repository.
Author name not available (Why is that?)
Publication date: 15 October 2024
Copyright license: No records found.
The CLSoilSWAT is a 100 m spatial resolution soil classification dataset for Continental Chile, covering latitudes -35.68, -55.76 . It provides soil map classification based on CLSoilMaps product (Dinamarca et al., 2023; Galleguillos et al., 2022), created by cluster k-means algorithm developed for SWAT hydrological model application. The soil textures, hydraulic conductivity, available water capacity, bulk dencity, soil layers and soil depth are directly extrated an summarised by class from CLSoilMaps, while the soil albedo and soil erodibility factors are calculated based on Abbaspour et al. (2019). The optimal cluster number was calculate using CluesGaps Algorithm (Tibshirani et al., 2001) implemented in R (Meachler 2023) and modify to work on raster dataset.
This page was built for dataset: CLSoilSWAT
