Results 201 to 210 of about 74,949,253 (275)

Terrestrial inputs and in‐lake processes shape dissolved organic matter along a permafrost gradient

open access: yesLimnology and Oceanography, Volume 71, Issue 11, November 2026.
Abstract Northern permafrost landscapes store large amounts of organic carbon that can enter lakes as dissolved organic matter (DOM), but links among shoreline terrestrial sources, lake‐water DOM composition, and catchment configuration remain uncertain in low‐precipitation Shield landscapes. We combined shoreline soil‐porewater and lake‐water sampling
Ryan H. S. Hutchins   +8 more
wiley   +1 more source

Improved early-stage crop classification using a novel fusion-based machine learning approach with Sentinel-2A and Landsat 8-9 data. [PDF]

open access: yesEnviron Monit Assess
Jamil MD   +10 more
europepmc   +1 more source

Hidden subsurface suspended sediment export from Greenland's marine‐terminating glaciers

open access: yesLimnology and Oceanography Letters, Volume 11, Issue 6, November 2026.
Abstract Runoff and calved ice volumes from the Greenland Ice Sheet are well constrained, but quantifying the associated suspended sediment flux remains challenging. Here we present near‐terminus observations from three glacierized fjords in southeast Greenland, combining full‐depth turbidity profiles and current velocity from summer 2024 to evaluate ...
Yaqing Ruan   +6 more
wiley   +1 more source

Landform controls on SOC and calcite‐equivalent SIC concentrations in Caspian coastal soils: VNIR‐SWIR spectroscopy and Landsat‐8 upscaling

open access: yesSoil Science Society of America Journal, Volume 90, Issue 6, November/December 2026.
Abstract Carbon partitioning between organic and carbonate‐associated forms remains poorly constrained in arid to semiarid coastal soils, where geomorphic position, salinity, and carbonate accumulation jointly structure surface‐soil carbon patterns. We evaluated landform controls on surface (0–20 cm) soil organic carbon (SOC), calcite‐equivalent soil ...
Ramin SamieiFard   +2 more
wiley   +1 more source

A Deep‐Learning Model Cascade for Automating Large‐Scale Shoreline Mapping From Satellite Imagery

open access: yesEarth and Space Science, Volume 13, Issue 11, November 2026.
Abstract This study describes a machine learning model cascade for automating large‐scale shoreline mapping from time‐series of coastal satellite imagery. Our model cascade consists of independent supervised deep learning models for image suitability, image segmentation, and image segmentation suitability.
Mark A. Lundine   +4 more
wiley   +1 more source

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