This repository contains the code to train ConvNeXt models on 3D NIfTI images or 2D slices derived from these images. The script allows you to customize various aspects of the training process, ...

As a condition of using these ... in the ancillary soil data that misclassified a small region in Argentina as peat. SMAP Level-4 (L4) surface and root zone soil moisture (L4_SM) data are provided in ...

2D-IR spectra of blood serum samples supplemented with varying concentrations of Gly were obtained, and a range of data analysis methods compared, leading to a detection limit of ∼3 mg/mL for Gly. The ...

Abstract: SMOS is a space mission led by the European Space Agency and designed to provide global maps of Soil Moisture and ... in the retrieved images. To reduce them, we propose to improve the bias ...

Department of Civil and Environmental Engineering, University of Connecticut, Storrs, Connecticut 06269, United States ...

Google’s Veo 3 made a splash at Google I/O 2025 as the latest leap forward in AI-powered video generation. As a feature within the new Google AI Ultra subscription, the highest access to Google ...

At each location, three LCSM readings were taken in a triangular configuration, and a gravimetric sample was extracted from the center using ... 3 m −3 with a moderate correlation (R = 0.80).

Fall rains elevate moisture contents to a relatively high and consistent values.There is a time lag between when shallow and deep sensors reach this high moisture ... of soils is commonly estimated ...

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Abstract: Clouds often limit the ability of optical satellite sensors (such as the newly launched Gaofen-1 (GF-1) satellite in China) to observe regional soil moisture at high spatial resolutions, ...