This paper presents two machine learning techniques that greatly reduce the number of person-hours required to generate high-quality training data for land ...

PDF | This paper presents two machine learning techniques that greatly reduce the number of person-hours required to generate high-quality training data.

This paper presents two machine learning techniques that greatly reduce the number of person-hours required to generate high-quality training data for land ...

Abstract This paper presents two machine learning techniques that greatly reduce the number of person-hours required to generate high-quality training data ...

Aug 23, 2024 · With this study we contribute to the efforts to develop standardized and replicable methodologies for high-resolution and high-accuracy LULC ...

May 11, 2021 · Here we propose a novel approach for land-cover classification using a Convolutional Neural Network machine learning algorithm to segment ...

A near-global framework for automated training data generation and land cover classification using shallow machine learning with low-density time series imagery ...

Jun 2, 2023 · This paper presents a Big Data methodology for creating land cover maps employing artificial intelligence algorithms.

Oct 22, 2024 · In this context, the Land Cover CCI (LC CCI) project aims at building global land cover maps suitable for climate modeling based on Earth ...

This notebook showcases an approach to performing land cover classification using sparse training data and multispectral imagery.