Results 171 to 180 of about 215,270 (307)

Same/Other/All K‐Fold Cross‐Validation for Estimating Similarity of Patterns in Data Subsets

open access: yesStatistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 1, February 2026.
ABSTRACT In many real‐world applications of machine learning, we are interested to know if it is possible to train on the data that we have gathered so far, and obtain accurate predictions on a new test data subset that is qualitatively different in some respect (time period, geographic region, etc.).
Toby Dylan Hocking   +5 more
wiley   +1 more source

Landsat-Bench: Datasets and Benchmarks for Landsat Foundation Models

open access: yes
The Landsat program offers over 50 years of globally consistent Earth imagery. However, the lack of benchmarks for this data constrains progress towards Landsat-based Geospatial Foundation Models (GFM). In this paper, we introduce Landsat-Bench, a suite of three benchmarks with Landsat imagery that adapt from existing remote sensing datasets -- EuroSAT-
Corley, Isaac   +2 more
openaire   +2 more sources

Novel Insights on Ocean Internal Waves: Quantitative Surface Manifestations and Upper Ocean Layer Displacements From the Surface Water Ocean Topography Mission (SWOT) Measurements

open access: yesEarth and Space Science, Volume 13, Issue 2, February 2026.
Abstract The Surface Water and Ocean Topography (SWOT) mission provides unprecedented high‐resolution simultaneous observations of both sea surface height anomalies and sea surface roughness. Specifically, it enables more precise analysis of strong internal waves. Off the Amazon Shelf, in the Indonesian Seas, and near the Mascarene Ridge, internal wave
V. Cheshm Siyahi   +3 more
wiley   +1 more source

Advancing Near‐Real‐Time Flood Inundation Mapping in Australia

open access: yesWater Resources Research, Volume 62, Issue 2, February 2026.
Abstract Floods are the second‐most deadly natural hazard in Australia, following heatwaves. Monitoring flood extent and depth in near real‐time (NRT) is crucial to minimize loss of life and socio‐economic impacts. This study leverages advanced computing, data management systems, and high‐quality data, including river gauge data APIs and Australian ...
Jiawei Hou   +5 more
wiley   +1 more source

Forest structure and connectivity drive the functional recovery of seed rain

open access: yesJournal of Ecology, Volume 114, Issue 2, February 2026.
Local forest structure and landscape‐scale connectivity shape distinct but complementary pathways of the functional recovery of seed rain in tropical forests. Structural complexity promotes functionally diverse plant–frugivore interactions locally, while connectivity facilitates the arrival of late‐successional seeds from external sources.
Anna R. Landim   +11 more
wiley   +1 more source

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