Results 281 to 290 of about 523,422 (382)

Comparing convolutional neural network and random forest for benthic habitat mapping in Apollo Marine Park

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
A comparison of Convolutional Neural Network (CNN) and Random Forest (RF) model predictions of benthic habitats within Apollo Marine Park. The CNN (left) and RF (right) classification maps show the spatial distribution of three habitat types: high energy circalittoral rock with seabed‐covering sponges, low complexity circalittoral rock with non‐crowded
Henry Simmons   +6 more
wiley   +1 more source

Modern sea-level rise breaks 4,000-year stability in southeastern China. [PDF]

open access: yesNature
Lin Y   +9 more
europepmc   +1 more source

Wall‐to‐wall Amazon forest height mapping with Planet NICFI, Aerial LiDAR, and a U‐Net regression model

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Tree canopy height is a key indicator of forest biomass and structure, yet accurate mapping across the Amazon remains challenging. Here, we generated a canopy height map of the Amazon forest at ~4.8 m resolution using Planet NICFI imagery and a deep learning U‐Net model trained with airborne LiDAR data.
Fabien H. Wagner   +21 more
wiley   +1 more source

Variable vertical land motion and its impacts on sea level rise projections. [PDF]

open access: yesSci Adv
Govorcin M   +4 more
europepmc   +1 more source

Constraints and Frugal Innovation: Enabling Sustainable Production Through the New Product Development Process

open access: yesSustainable Development, EarlyView.
ABSTRACT This paper advances understanding of how constraint‐based thinking fosters sustainable innovation under resource limitations. Based on five case studies of small and medium‐sized enterprises and research groups developing frugal medical devices across diverse regions, it identifies how market, infrastructure, and user constraints shape design ...
Zulfiya Ukbaeva   +2 more
wiley   +1 more source

Ecological and Technological Insights to Enhance Rice Production: A Machine Learning Approach for Sustainable Agriculture in Granma, Cuba

open access: yesSustainable Development, EarlyView.
ABSTRACT Amid the quest for sustainable agriculture, this study explores key ecological and technological factors influencing crop production under climate change. We conduct a comprehensive assessment of temperature, biomass, farmer education, renewable energy devices, greenhouse gas emissions and their effects on rice yields in Granma, Cuba, from ...
Afzal Ahmed Dar   +6 more
wiley   +1 more source

Women's Empowerment, Governance, and the Economics of Clean Cooking Transitions in Africa

open access: yesSustainable Development, EarlyView.
ABSTRACT Over the past few decades, the global economy, particularly in developing nations, has persistently grappled with rising dependence on conventional energy resources, thus rendering the realization of Sustainable Development Goals 5 and 7 (SDGs 5 and 7) an elusive aspiration for the international community.
Stephen Kelechi Dimnwobi   +2 more
wiley   +1 more source

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