Results 231 to 240 of about 87,231 (317)
Fusing LandTrendr BCI and machine learning for spoil dump mapping. [PDF]
Zhen X, Yu Z, Shi Y, Zhao Y.
europepmc +1 more source
Read the free Plain Language Summary for this article on the Journal blog. Abstract Mangrove forests are important blue carbon ecosystems, yet long‐term above‐ground biomass (AGB) dynamics in arid deltaic systems remain poorly understood. Here, we integrated field‐derived AGB data with multisource remote sensing and machine learning models (random ...
Muhammad Naveed +10 more
wiley +1 more source
Deep learning-enhanced shoreline dynamics and vulnerability assessment in Niger Delta area of Nigeria. [PDF]
Nnam VC, Odumosu JO, Uche I, Lamidi S.
europepmc +1 more source
ABSTRACT This study applies a statistically sound methodology for contrasting real‐valued datasets against simulated results generated from the US Army Engineer Research and Development Center's Coastal and Hydraulics Laboratory's first‐order flood inundation hydrologic modeling suite, AutoRoute, to determine the impact of spatial resolution on flood ...
Joshua Smallwood +2 more
wiley +1 more source
Degradation trends in lakes and wetlands of Iran and their contribution to dust pollution. [PDF]
Samadi-Todar SA +2 more
europepmc +1 more source
ABSTRACT Understanding animal distribution is crucial for elucidating natural history, population dynamics, and inter‐ and intraspecific interactions. This knowledge informs the planning and evaluation of management and conservation strategies, particularly for sympatric, scarce, and threatened species such as jaguars (Panthera onca) and pumas (Puma ...
Ricardo Corassa Arrais +4 more
wiley +1 more source
Enhancing reservoir water quality simulation through machine learning-driven remote sensing integration with EFDC: a coupled framework for eutrophication management in data-scarce regions. [PDF]
Meng H +5 more
europepmc +1 more source
ABSTRACT Tropical forest mammalian communities, particularly those in ecological transition zones, are under constant threat from human activity. In many regions, there is a lack of baseline data on suitable habitats and the environmental factors influencing their suitability.
Ernest D. B. Fotsing +2 more
wiley +1 more source
Mangrove Phenology From Scale, Data and Species Perspectives. [PDF]
Wang Y +5 more
europepmc +1 more source

