Results 181 to 190 of about 45,417 (317)

Soil Moisture, Organic Carbon, and Nitrogen Content Prediction with Hyperspectral Data Using Regression Models. [PDF]

Sensors (Basel), 2022
Datta D, Paul M, Murshed M, Teng SW, Schmidtke L.   +4 more
europepmc   +1 more source

Facilitating macrosystem biology with organismal‐scale airborne remote sensing: Challenges and opportunities

Functional Ecology, EarlyView.
Read the free Plain Language Summary for this article on the Journal blog. Abstract Emergent ecosystem properties, such as population and trait distributions, biodiversity and energy and water fluxes, occur because of the dynamic interactions of individuals in their environment.
Sarah J. Graves, Ritesh Chowdhry, Meilun Zhou, Ira Harmon, Ben Weinstein, S. K. Morgan Ernest, Alina Zare, Ethan P. White, Stephanie A. Bohlman   +8 more
wiley   +1 more source

Transforming hyperspectral data into insight: the DREAM approach for pathology. [PDF]

Biomed Opt Express
Hong M, Koo DES, Junge J, Fraser SE, Cutrale F.   +4 more
europepmc   +1 more source

Detection and Relative Quantification of Neodymium in Sillai Patti Carbonatite Using Decision Tree Classification of the Hyperspectral Data. [PDF]

Sensors (Basel), 2022
Qasim M, Khan SD.
europepmc   +1 more source

Clustering Hyperspectral Data

Computer Science & Information Technology (CS & IT), 2017
Arwa Alturki, Ouiem Bchir
openaire   +1 more source

Robust estimation of key leaf traits from reflectance spectroscopy of herbarium specimens

Methods in Ecology and Evolution, EarlyView.
Abstract Community‐wide efforts to digitize herbarium specimens have facilitated novel uses of specimen data across scales. However, the need for destructive sampling has prevented large‐scale examination of foliar functional traits. We demonstrate that nondestructive reflectance spectra are an effective tool for estimating leaf traits from herbarium ...
Aaron K. Lee, Lauren Vander Esch, Jin Oong, Brett Fredericksen, Juan Ramirez‐Lerma, J. Antonio Guzmán, Dawson White, Tim Whitfeld, Jose Eduardo Meireles, Jeannine Cavender‐Bares, Ya Yang   +10 more
wiley   +1 more source

Hyperspectral data-driven corn nitrogen monitoring: application and interpretability analysis of multi-source feature optimization and stacked ensemble learning methods. [PDF]

Front Plant Sci
Kong H, Gu Y, Zhao P, Zheng Y, Tian L, Dong Q.   +5 more
europepmc   +1 more source

Multivariate hyperspectral data analytics across length scales to probe compositional, phase, and strain heterogeneities in electrode materials. [PDF]

Patterns (N Y), 2022
Santos DA, Andrews JL, Lin B, De Jesus LR, Luo Y, Pas S, Gross MA, Carillo L, Stein P, Ding Y, Xu BX, Banerjee S.   +11 more
europepmc   +1 more source

Mapping the shallow marine benthic habitats of Rottnest Island, Western Australia

, 2007
The introduction of new, high resolution hyperspectral sensors has led to growing interest in the development of techniques to utilise data from these instruments for mapping the shallow marine environment.
Beckley, L.E., Harvey, M., Heege, T., Pinnel, N., Kobryn, H.T., Hausknecht, P.   +5 more
core  

Spectral response of guava leaves under infestation by Costalimaita ferruginea (coleoptera: Chrysomelidae)

Agricultural and Forest Entomology, EarlyView.
Coccinellidae (Coleoptera), Miridae (Hemiptera), Hemerobiidae (Neuroptera), Pentatomidae (Hemiptera), Anystidae (Acari), Erythraeidae (Acari) and spiders (Araneidae, Oxyopidae and Salticidae) fed on the invasive paropsine leaf beetles in Marlborough, New Zealand.
Souradji I. Bachirou, Pedro G. Peixoto, David L. Rosalen   +2 more
wiley   +1 more source