Results 241 to 250 of about 13,861,689 (336)

Resilience or reassembly: Wildfire–vegetation dynamics in rapidly warming subarctic forests of northwestern Canada

open access: yesEcosphere, Volume 17, Issue 9, September 2026.
Abstract Climate‐induced shifts in disturbance regimes are reshaping northern forest ecosystems, where tree species are at their geographic range limit. Northern Canada has warmed over twice as much as the mean global increase since 1950, providing a critical context to study climate–fire–vegetation interactions under rapid warming.
S. Violet Zhao   +5 more
wiley   +1 more source

LANDSAT Update

open access: yes, 1992
LANDSAT Update, On the News
core   +1 more source

Long‐term trends in greenness in the alpine zone of northeastern North America from remote sensing

open access: yesEcosphere, Volume 17, Issue 9, September 2026.
Abstract Alpine zones above treeline in the Appalachian Mountains and adjacent ranges of northeastern North America support distinctive ecological communities that thrive where conditions are too harsh for trees to grow. These communities differ from alpine zones elsewhere on the continent and are a regionally important source of floristic biodiversity,
Jonathan W. Chipman   +2 more
wiley   +1 more source

Climate and landscape context drive the functional composition of young tropical forests

open access: yesEcology, Volume 107, Issue 9, September 2026.
Abstract Human‐modified tropical landscapes are mosaics of farmland, young regrowing forests, and old‐growth forests. These fragmented landscapes are hotter and drier than forested landscapes and, combined with climate change, may lead to shifts in forest community composition.
Jazz J. M. Kok   +7 more
wiley   +1 more source

Leaf water potential of coffee estimated by landsat-8 images. [PDF]

open access: yesPLoS One, 2020
Maciel DA   +11 more
europepmc   +1 more source

Predicting Seismic Intensity Using Machine Learning With Ancillary Data: Evidence From Destructive Earthquakes in China

open access: yesEngineering Reports, Volume 8, Issue 9, September 2026.
A machine learning framework integrating multisource seismic, social, and geographic data accurately predicts kilometer‐scale seismic intensity, enabling rapid postearthquake damage assessment during data‐scarce “black‐box” periods. ABSTRACT Accurate and rapid assessment of seismic intensity is crucial for postearthquake emergency response.
Ma Yuan   +4 more
wiley   +1 more source

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