Results 151 to 160 of about 105,347 (307)

Life after herbarium digitisation: Physical and digital collections, curation and use

PLANTS, PEOPLE, PLANET, EarlyView.
Societal Impact Statement Collections of dried plant specimens (herbaria) provide an invaluable resource for the study of many areas of scientific interest and conservation globally. Digitisation increases access to specimens and metadata, enabling efficient use across a broad spectrum of research.
Alan James Paton, Gabriel K. Ameka, Alexandre Antonelli, Alex Asase, Russell L. Barrett, Ann Bogaerts, Domingos Cardoso, Mark Carine, Alastair Culham, Syadwina H. Dalimunthe, Nina Davies, Sofie De Smedt, Sebebe Demissew, Rafaela Campostrini Forzza, Quentin Groom, Elspeth M. Haston, Abdulrokhman Kartonegoro, Paul Kersey, Isabel Larridon, Jana Leong‐Škorničková, Lucia G. Lohmann, Jehova Lourenco Jr., Hannah McPherson, Muthama Muasya, Nicky Nicolson, Marcelo Pace, Jack F. Plummer, Hélène Ralimanana, Himmah Rustiami, Hervé Sauquet, Emily B. Sessa, Eric Smets, Alex Sumadijaya, Jordan Teisher, Daniel C. Thomas, Eka F. Tihurua, Janine E. Victor, Sarah T. Wagner, Quiang Wang, Andrew Young   +39 more
wiley   +1 more source

Elimination of information redundancy of hyperspectral images using the “well-adapted” basis method

, 2019
Dmitry Vasin, Владимир Громов, Pavel Pakhomov   +2 more
openalex   +1 more source

The intertwined fate of agriculture and human expansion: Gaps and solutions for scalable space crop systems

PLANTS, PEOPLE, PLANET, EarlyView.
As humanity prepares for sustained life beyond Earth, developing resilient, resource‐efficient food systems is essential. This research outlines a strategic roadmap for scalable space agriculture, addressing key challenges in crop resilience, substrate performance, and autonomous life‐support integration.
Rafael Loureiro, Andrew Palmer
wiley   +1 more source

A Spectra Classification Methodology of Hyperspectral Infrared Images for Near Real-Time Estimation of the SO2 Emission Flux from Mount Etna with LARA Radiative Transfer Retrieval Model [PDF]

, 2020
Charlotte Segonne, Nathalie Huret, Sébastien Payan, Mathieu Gouhier, Valéry Catoire   +4 more
openalex   +1 more source

Hyperspectral spectro-imager survey for state of art concept identification [PDF]

, 2021
Weerapot Wanajaroen, Thierry Lépine, Christophe Buisset, Matthieu Castelnau, Vincent Costes, S. Wannawichian, S. Poshyachinda, Boonrucksar Soonthornthuma   +7 more
openalex   +1 more source

Quantifying aboveground herbaceous biomass in grassy ecosystems: a comparison of field and high‐resolution UAV‐LiDAR approaches

Remote Sensing in Ecology and Conservation, EarlyView.
The abundance of herbaceous vegetation in grassy ecosystems—which cover >25% of the world's land surface—is highly variable and impacts key ecological processes including carbon sequestration and support for grazing wildlife and livestock. Here, we present a method for using high‐resolution, UAV‐borne Light Detection and Ranging (LiDAR) to estimate ...
Tyler C. Coverdale, Peter B. Boucher, Jenia Singh, Andrew B. Davies   +3 more
wiley   +1 more source

Dehazing in hyperspectral images: the GRANHHADA database. [PDF]

Sci Rep, 2023
Carvelo SF, Domingo MÁM, Valero EM, Andrés JH.   +3 more
europepmc   +1 more source

ECOSTRESS‐derived semi‐arid forest temperature and evapotranspiration estimates demonstrate drought and thinning impacts

Remote Sensing in Ecology and Conservation, EarlyView.
This study demonstrates that ECOSTRESS lands surface temperature (LST) data are sensitive to forest thinning, regional drought, and their interaction. Consistent with high‐resolution UAV images, ECOSTRESS LST data indicate thinned forest had significantly greater temperature across years.
Temuulen Tsagaan Sankey, Thu Ya Kyaw, Julia Tatum, George W. Koch, Thomas Kolb, Rayni Lewis, Helen M. Poulos, Andrew M. Barton, Blase LaSala, Andrea Thode   +9 more
wiley   +1 more source

Investigating boreal forest successional stages in Alaska and Northwest Canada using UAV‐LiDAR and RGB and a community detection network

Remote Sensing in Ecology and Conservation, EarlyView.
This study develops a novel application of UAV‐LiDAR and Red Green Blue (RGB) data and network analysis to enhance our understanding of boreal forest succession. The results indicate that tree height and spectral variables are the most influential predictors of plant functional type in random forest algorithms, and high overall accuracies were attained.
Léa Enguehard, Birgit Heim, Ulrike Herzschuh, Viktor Dinkel, Glenn Juday, Santosh Panda, Nicola Falco, Jacob Schladebach, Jakob Broers, Stefan Kruse   +9 more
wiley   +1 more source

Estimating the distribution of chlorophyll content in CYVCV infected lemon leaf using hyperspectral imaging

, 2022
Xunlan Li, Zhaoxin Wei, Fangfang Peng, Jianfei Liu, Guohui Han   +4 more
openalex   +1 more source