Results 181 to 190 of about 107,108 (274)

Maximizing Nature‐Based Solutions Using Artificial Intelligence to Align Global Biodiversity, Climate, and Water Targets

open access: yesEarth's Future, Volume 14, Issue 4, April 2026.
Abstract Nature‐based Solutions (NbS) encompass a spectrum of conservation and restoration actions aimed at improving biodiversity, climate, and water outcomes. Considerable research exists that focuses on prioritizing either conservation or restoration, or specific environmental outcomes.
Camilo Alejo   +4 more
wiley   +1 more source

Desertification monitoring in arid oasis environment using Google Earth Engine, machine learning, and field-based hydrogeological assessment. [PDF]

open access: yesSci Rep
Moumane A   +8 more
europepmc   +1 more source

O Levee, Where Art Thou? Measuring the Abundance of Natural River Levees Across the Contiguous USA

open access: yesJournal of Geophysical Research: Earth Surface, Volume 131, Issue 4, April 2026.
Abstract Most—if not all—alluvial rivers experience overbank floods. On some rivers, these floods form natural levees, whereas on others they do not. Existing theories for how levees form on riverbanks rely on the physics of sediment transport across the channel margin, but applying them to real rivers does not yield good predictions of why one river ...
E. A. Barefoot   +2 more
wiley   +1 more source

Geospatial assessment of habitat degradation and climate impacts on migratory crane habitat in Pakistan's Wetland ecosystems. [PDF]

open access: yesSci Rep
Suliman M   +9 more
europepmc   +1 more source

Reducing Uncertainties in Net Carbon Capture to Advance Wetlands as Natural Climate Solutions

open access: yesJournal of Geophysical Research: Biogeosciences, Volume 131, Issue 4, April 2026.
Abstract Wetlands play a crucial role as natural climate solutions (NCS) by sequestering atmospheric carbon dioxide (CO2) in the form of organic carbon (OC) in soils. However, spatial heterogeneity and temporal variability in OC sequestration rates introduce uncertainties that must be addressed to inform climate policy and meet national climate targets.
P. Mistry   +3 more
wiley   +1 more source

Improved Joint Estimation of Daily Actual Evapotranspiration and Gross Primary Production by Integrating Landsat, Sentinel‐2, Sentinel‐1, and Climate Data With Machine Learning

open access: yesJournal of Geophysical Research: Biogeosciences, Volume 131, Issue 4, April 2026.
Abstract Accurate fine spatial resolution evapotranspiration (ET) and gross primary production (GPP) estimates will help us understand water‐carbon interactions and optimize water resource management for enhancing ecological and agricultural applications.
Jiang Chen, Paul C. Stoy, Zhou Zhang
wiley   +1 more source

Efficient Retrieval of Subpixel Cloud Fraction From Coarse Cloud Masks Using Dual‐Branch Deep Learning

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Cloud detection is a critical procedure in satellite remote sensing. Most meteorological satellite products provide binary cloud masks, which identify whether a pixel in the satellite image is entirely cloudy or clear‐sky, and the subpixel cloud fraction (CF) of partly cloudy pixels is usually unavailable.
Qingmin Wang   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy