The dataset comprises data from two cities, intended for evaluating the pretraining and transfer-learning capabilities of the GitHub repository stark-t/UncertaintySlumDetection (github.com). Each city
Imágenes satelitales para cuatro volcanes de Chile: Complejo Volcánico Nevados de Chillán, Complejo Volcánico Taapaca, Volcán Parinacota y Volcán Villarrica.
Abstract: The objective of this work was to propose a new methodology for mapping coffee cropping areas that includes multitemporal data as input parameters in the classification process, by using the
This LTER Remote Sensing spatial raster dataset consists of Landsat Enhanced Thematic Mapper image data for Coweeta LTER, on 1994-09-13 (15:22:46.0350130Z). Data were collected by Landsat 5, row 36, p
