Results 81 to 90 of about 2,900 (227)

FieldDino: Rapid In‐Field Stomatal Anatomy and Physiology Phenotyping

Plant, Cell &Environment, EarlyView.
ABSTRACT Stomatal anatomy and physiology define CO2 availability for photosynthesis and regulate plant water use. Despite being key drivers of yield and dynamic responsiveness to abiotic stresses, conventional measurement techniques of stomatal traits are laborious and slow, limiting adoption in plant breeding.
Edward Chaplin, Guy Coleman, Andrew Merchant, William Salter   +3 more
wiley   +1 more source

Assessing functional diversity and composition using multispectral images in Atlantic Forest restoration sites

Restoration Ecology, EarlyView.
Abstract Introduction By focusing on the specific functional traits of species, we can better understand how ecosystems function and respond to environmental change. However, field measurements of functional traits can be time‐consuming and costly, whereas remote sensing data can serve as viable alternatives for studying biodiversity at larger scales ...
Júlia Ayres de Oliveira, Ângelo Mantovani Amorim de Freitas Oliveira, André Quintão de Almeida, Catherine Torres de Almeida, Eric Bastos Gorgens, Vinicius Nunes Henrique Silva, Luiz Fernando Duarte de Moraes, Gustavo Bastos Lyra, Jerônimo Boelsums Barreto Sansevero   +8 more
wiley   +1 more source

Spatial-Spectral-Emissivity Land-Cover Classification Fusing Visible and Thermal Infrared Hyperspectral Imagery

Remote Sensing, 2017
High-resolution visible remote sensing imagery and thermal infrared hyperspectral imagery are potential data sources for land-cover classification. In this paper, in order to make full use of these two types of imagery, a spatial-spectral-emissivity land-
Yanfei Zhong, Tianyi Jia, Ji Zhao, Xinyu Wang, Shuying Jin   +4 more
doaj   +1 more source

Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang, Daeun Choi, Damian Adams, Jaehyun Ahn, Kelly Balmant, Raquel Dias, Carlos D. Messina, Rafael Muñoz‐Carpena, Vance M. Whitaker, Haipeng Yu, Ziwen Yu, Chang Zhao, Changying Li   +12 more
wiley   +1 more source

Feasibility of Invasive Grass Detection in a Desertscrub Community Using Hyperspectral Field Measurements and Landsat TM Imagery

Remote Sensing, 2011
Invasive species’ phenologies often contrast with those of native species, representing opportunities for detection of invasive species with multi-temporal remote sensing.
Stuart E. Marsh, Aaryn D. Olsson, Willem J.D. van Leeuwen   +2 more
doaj   +1 more source

Affordable Phenomics special topic—Foreword for The Plant Phenome Journal

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract The Affordable Phenomics special topic in The Plant Phenome Journal showcased recent advances that expand the accessibility, cost‐effectiveness, and scalability of plant phenotyping technologies. This collection of 15 articles presented innovative approaches, ranging from low‐cost sensors and open‐source analytical pipelines to artificial ...
Valerio Hoyos‐Villegas, Michael A. Gore   +1 more
wiley   +1 more source

A semi-analytical approach for estimating inland water inherent optical properties and chlorophyll a using airborne hyperspectral imagery

International Journal of Applied Earth Observations and Geoinformation
The inversion of inherent optical properties (IOPs) and chlorophyll a (Chla) is one of the key objectives in water color remote sensing, and hyperspectral remote sensing with rich spectral information makes precise inversion possible.
Chao Niu, Kun Tan, Xue Wang, Peijun Du, Chen Pan   +4 more
doaj   +1 more source

Physics‐informed multimodal learning for snapshot dental spectral reflectance prediction

Quantitative Biology, Volume 14, Issue 2, June 2026.
Abstract Accurate color matching is essential to achieving aesthetically realistic outcomes in dental crown and bridge restorations. Traditional visual methods, however, are often affected by lighting variations and observer subjectivity. These limitations can lead to metamerism and inconsistent clinical outcomes.
Yujun Feng, Yushan Guo, Qingyi Liu, Fei Liu, Jiefei Shen, Junfei Shen   +5 more
wiley   +1 more source

Fluorescence Quantum Efficiency Data for Europe 2018–2025

Geoscience Data Journal, Volume 13, Issue 2, April 2026.
We present a new dataset of fluorescence quantum efficiency (ΦF) across Europe and northern Africa (2018–2025). Derived from TROPOMI SIF and MODIS PAR at 0.05° resolution, the dataset provides daily, decadal and monthly coverage. The dataset includes input bands and quality layers, enabling applications in vegetation stress monitoring and drought ...
David Herrera, Uwe Rascher, Zbyněk Malenovský, Bastian Siegmann   +3 more
wiley   +1 more source

Ultra-high-resolution hyperspectral imagery datasets for precision agriculture applications

Data in Brief
Technology infusion in agriculture has been progressing steadily, touching upon various spheres of agriculture such as crop identification, soil classification, yield prediction, disease detection, and weed-crop discrimination.
Vamshi Krishna Munipalle, Usha Rani Nelakuditi, Manohar Kumar C．V．S．S．, Rama Rao Nidamanuri   +3 more
doaj   +1 more source