Results 221 to 230 of about 5,227,350 (303)

Application of deep learning in crop research: From genomics to phenomics

The Plant Genome, Volume 19, Issue 2, June 2026.
Abstract Deep learning, as a pivotal branch of machine learning, has demonstrated remarkable potential in advancing crop science by effectively integrating genomics and phenomics. This review systematically outlines the application of diverse deep learning architectures—such as convolutional neural networks, recurrent neural networks, and transformers ...
Zefeng Wu, Yali Sun, Qian Luo, Jiaping Wei, Junmei Cui, Yan Fang, Yining Niu, Zhaohong Li, Xiaolin Wang, Zigang Liu   +9 more
wiley   +1 more source

Landsat-8 OLI/SRTM and gravity characteristics of the Pan-African fracture aquifers of the north central Cameroon region (central Africa). [PDF]

Heliyon
Deffo F, Yem Mbida, Yene Atangana JQ, Koah SP, Evina Aboula YS, Ndam Njikam MM.   +5 more
europepmc   +1 more source

Exploring the utility of Sentinel-2 MSI and Landsat 8 OLI in burned area mapping for a heterogenous savannah landscape. [PDF]

PLoS One, 2020
Ngadze F, Mpakairi KS, Kavhu B, Ndaimani H, Maremba MS.   +4 more
europepmc   +1 more source

Strategic Roadmap for Addressing Microplastic Pollution in the Global South: Bridging Monitoring Gaps, Harmonizing Methods, and Building Analytical Capacity

Environmental Quality Management, Volume 35, Issue 4, Summer 2026.
ABSTRACT Microplastic (MP) pollution represents a growing environmental challenge, especially in tropical and subtropical coastal regions of the Global South, where methodological fragmentation, funding discontinuity, and dependence on external analytical infrastructure limit the production of comparable data and the formulation of evidence‐based ...
Guilherme Malafaia, Thiarlen Marinho da Luz   +1 more
wiley   +1 more source

Exploratory Analysis of Urban Climate Using a Gap-Filled Landsat 8 Land Surface Temperature Data Set. [PDF]

Sensors (Basel), 2020
Cheval S, Dumitrescu A, Amihaesei VA.
europepmc   +1 more source

Mapping Quartz and Feldspar Areal Abundance and Grain Sizes Using Integrated VTIR Data

AGU Advances, Volume 7, Issue 3, June 2026.
Abstract Mineral dust is sourced from arid regions around the globe, and its composition impacts regional and global environments by affecting radiation balance, cloud formation, nutrient deposition, and snowmelt. As such, mineral dust plays a key role in Earth's energy and biogeochemical budgets.
Kathleen Grant, Philip G. Brodrick, Carlos Pérez Garcia‐Pando, María Gonçalves Ageitos, Aaron J. Celestian, A. Joshua West   +5 more
wiley   +1 more source

Tidal River Flood Risk Highest During Intermediate Rather Than Peak River Discharge

AGU Advances, Volume 7, Issue 3, June 2026.
Abstract Tidal rivers are defined as the tide‐influenced, salinity‐free inland reaches of estuaries. Understanding the occurrence of peak water levels (PWLs) is critical for flood risk management, yet the timing and magnitude of PWLs in tidal rivers have been little studied. We address this gap by investigating PWLs during two catastrophic floods (1954
Leicheng Guo, Adam T. Devlin, Ton Hoitink, Ian Townend, David A. Jay, Zheng Bing Wang, Chunyan Zhu, Hamed R. Moftakhari, Qing He, Fan Xu, Yuanyang Wan, Yuan Xu, Weiming Xie   +12 more
wiley   +1 more source

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core   +1 more source

The Baltimore Community Weather Station Network: Filling the Urban Measurement Desert

Community Science, Volume 5, Issue 2, June 2026.
Abstract Quantification and understanding of how heat, rainfall, and air quality vary within cities are needed to identify the area with the worst conditions, develop solutions to extreme weather, and assess the impact of proposed policies. However, neighborhood‐level variability is not well quantified because there are few environmental measurement ...
Darryn W. Waugh, Peyton Ruth Smith, Sophia Baleeiro, Miriam Avins, Michael Bader, Shamara Collins, Gary Dittman, Eliott Foust, Karma Francis, Richard Francis, Monica French, Cynthia Gross, Isabel Horst, Sarah M. Hörst, Terris King, Ballington Kinlock, Samia Kirchner, Lei Hao, Mac McComas, Tiara Matthews, Doris Minor‐Terrel, Derrick Mirindi, Mark‐Anthony Montgomery, Beth Myers‐Edwards, Benjamin A. Nault, Matt T. Oberdier, Katie O'Meara, Gabriel Pickus, Ava Richardson, Kim Truheart, Brenda White, Benjamin F. Zaitchik   +31 more
wiley   +1 more source

Forest aboveground biomass estimation using Landsat 8 and Sentinel-1A data with machine learning algorithms. [PDF]

Sci Rep, 2020
Li Y, Li M, Li C, Liu Z.
europepmc   +1 more source