When compared to the Landsat series, the Sentinel-2 images are also easily accessible; it has a shorter return cycle, higher spatial resolution, and can more ...
Jun 6, 2023 · The purpose was to compare the ability of remote sensing images (Landsat-8, Sentinel-1, and Sentinel-2) with different machine learning methods ...
Apr 4, 2024 · Mao, et al., “Comparison of machine learning methods for predicting soil total nitrogen content using Landsat-8, Sentinel-1, and Sentinel-2 ...
Oct 1, 2023 · This study provides an innovative approach to predict Soil Organic Carbon (SOC) and Total Nitrogen (TN) content in low-intervention pasture ...
Comparison of machine learning methods for mapping the stand characteristics of temperate forests using multi-spectral Sentinel-2 data.
Our results suggest that bare soil images obtained by combining Landsat-8 and Sentinel-2 images are more important for soil mapping than spatial or spectral ...
Comparison of Machine Learning Methods for Predicting Soil Total Nitrogen Content Using Landsat-8, Sentinel-1, and Sentinel-2 Images · Spatial modelling of ...
Sep 22, 2023 · Notably, our findings demonstrate that Sentinel-2 data exhibits significant potential over Landsat-8 for modeling SOC and TN due to its higher ...
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Jun 14, 2024 · In this paper, we explore the application of machine learn- ing methods, particularly focusing on tree-based algorithms, to forecast soil ...
Synergistic use of Sentinel-1, Sentinel-2, and Landsat 8 in ...
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In this study, we explored the potential of individual satellite bands/indices and the integration of different sensors in predicting mean CC, mean DBH, and ...