Results 141 to 150 of about 1,727,336 (191)

Mismatch Between Current Essential Biodiversity Variables and Available Data for Southeast Asia

Ecological Research, Volume 41, Issue 6, November 2026.
The essential biodiversity variables provide a centralized group of variables to enable the monitoring of biodiversity. Yet, some of the most diverse parts of the planet may lack the data to be able to develop these variables. Here we explore the availability of that data for one of the most diverse parts of the world, the Southeast Asian region, and ...
Alice C. Hughes, Hiroyuki Muraoka, Masahiro Nakaoka, Yayoi Takeuchi, Takehisa Yamakita, Sunita Chaudhary   +5 more
wiley   +1 more source

Preprocessing of PHI-3 Hyperspectral Data

Shuitu baochi yanjiu, 2007
The processing of PHI-3 hyperspectral remote sensing data from original data to production is presented.For the characteristic of this data,preparation such as integrality disposal,radiance calibration,dim electric current disposal and geometry ...
FAN Nan-nan1, LI Zeng-yuan2, FAN Wen-yi1, WANG Beng-yu2, TAN Bing-xiang2, LIU Guang-feng1   +5 more
doaj  

A validated 3D point‐cloud analysis workflow for the creation of seagrass canopy height models

Methods in Ecology and Evolution, Volume 17, Issue 11, Page 3136-3156, November 2026.
Abstract Seagrasses support highly productive ecosystems in both temperate and tropical waters and provide essential ecosystem services. Despite their importance, the vertical structure of seagrasses (i.e. the canopy) remains poorly characterised at the microscale, even though it is a strong predictor of ecological processes that influence both ...
Daniele Ventura
wiley   +1 more source

What Are Computer‐Assisted Methods Achieving in Fine‐Needle Aspiration Cytology of the Pancreas? A Systematic Review and Meta‐Analysis

Cytopathology, Volume 37, Issue 6, Page 587-602, November 2026.
This meta‐analysis demonstrates high diagnostic accuracy of computer‐assisted methods in pancreatic EUS‐FNA cytology (AUC 0.92–0.96) and supports an integrated, cytopathologist‐led workflow in which artificial intelligence functions as an adjunct to diagnostic interpretation and on‐site evaluation (ROSE). Created in BioRender. Mohamed Mirzan, A. (2026)
Al‐Amaan Mohamed Mirzan, Roberto Dina
wiley   +1 more source

Bespoke Real‐Time Multispectral Imaging for Apple Browning Evaluation Using Physics‐Informed Neural Networks

Journal of Food Process Engineering, Volume 49, Issue 11, November 2026.
A compact multispectral imaging system combined with a physics‐informed neural network enables real‐time quantitative monitoring and prediction of enzymatic browning in fresh‐cut apples. The Weibull‐constrained model improves temporal extrapolation over conventional Weibull and data‐driven neural network approaches.
Guojun Tang, Paul D. Teal, Alexander Doronin   +2 more
wiley   +1 more source

Industry 5.0‐Oriented Digital Technologies for Agro‐Food Processing and Supply Chains: A Review With Applications in Peru

Journal of Food Process Engineering, Volume 49, Issue 11, November 2026.
Industry 5.0 technologies support agro‐food engineering using intelligent automation and other digital tools. Integrating advanced digital technologies into agro‐food processing enables efficient, traceable, and sustainable production systems. ABSTRACT This review discusses the application of Industry 5.0‐oriented digital technologies in agro‐food ...
Grisel Osorio, Jhonny Pacheco, Heidy Valeria Palacin‐Baldeón, Pedro Shiguihara, Luis Olivera Montenegro, Giovani Leone Zabot   +5 more
wiley   +1 more source

EMIT Reveals Elevated Calcite Signatures in Shorelines of Lake Powell and Lake Mead Exposed by Drought and Colorado River Management

Geophysical Research Letters, Volume 53, Issue 20, 28 October 2026.
Abstract Nearly half of Earth’s seasonal freshwater storage variability occurs in human‐managed reservoirs, resulting in large areas of reservoir‐bed that are episodically inundated or subaerially exposed. Here we use hyperspectral data from NASA’s Earth Surface Mineral Dust Source Investigation (EMIT) mission to map calcite mineral assemblages across ...
Michael R. Fischella, Joel B. Sankey, Ray Kokaly, Amy East, Alan Kasprak, Joshua Caster, Bridget R. Deemer, Ryan Crow, Skyler Mavor, Derek V. Mallia   +9 more
wiley   +1 more source

Aerosol Retrieval Over Ocean From DPC‐2/GF‐5(02): Using RemoTAP Extended With a 3‐Parameter Ocean Bio‐Optical Model and Comparisons With a 1‐Parameter Model

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 20, 28 October 2026.
Abstract Multi‐angle polarimetric instruments (MAPs) enable the retrieval of essential aerosol properties over oceanic regions. MAPs retrieval algorithms commonly use a 1‐parameter ocean bio‐optical model (OBM), based on chlorophyll‐a concentration only to represent optical properties over open waters (case‐1), whereas the coastal water (mixture of ...
Cheng Fan, Jeon‐Teo Dong, Guangliang Fu, Sha Lu, Zihan Zhang, Neranga K. Hannadige, Meng Gao, Peng‐Wang Zhai, Gerrit de Leeuw, Zhengqiang Li, Otto Hasekamp   +10 more
wiley   +1 more source

Hyperspectral Remote Sensing Unveils Phytoplankton Succession in Hurricane Wakes

Geophysical Research Letters, Volume 53, Issue 19, 16 October 2026.
Abstract Hyperspectral satellite data from the NASA mission, PACE (Plankton, Aerosol, Cloud, ocean Ecosystem), can be used to investigate the effects of hurricanes on phytoplankton composition. Results from four Atlantic Ocean hurricanes show the expected increases in chlorophyll‐a concentration associated with deepening of the mixed layer depth (MLD).
Carlos E. Del Castillo, Matthew Kehrli, Graham Trolley, Ivona Cetinić   +3 more
wiley   +1 more source

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Support Tensor Machines for Classification of Hyperspectral Remote Sensing Imagery

IEEE Transactions on Geoscience and Remote Sensing, 2016
In recent years, the support vector machines (SVMs) have been very successful in remote sensing image classification, particularly when dealing with high-dimensional data and limited training samples. Nevertheless, the vector-based feature alignment of the SVM can lead to an information loss in representation of hyperspectral images, which ...
Xin Huang, Liangpei Zhang, Antonio Plaza
exaly   +3 more sources