Results 221 to 230 of about 6,275,177 (375)

A hybrid ACO-random forest optimization framework for scalable microalgae biomass estimation using multispectral imaging. [PDF]

Environ Monit Assess
Kolawole KK, Abidin MSBZ, Kamaroddin MFB, Ramli MSAB, Mpuhus SL, Rizqi A.   +5 more
europepmc   +1 more source

FAST FUSION OF HYPERSPECTRAL AND MULTISPECTRAL IMAGES : A TUCKER APPROXIMATION APPROACH

, 2022
Clémence Prévost, Pierre Chainais, Rémy Boyer   +2 more
openalex   +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

Broadband on-chip spectral sensing via directly integrated narrowband plasmonic filters for computational multispectral imaging. [PDF]

Nanophotonics
Zheng Q, Liang L, Yang S, Tong L, Wang W, Tang J, Zhang Y, Huang B, He X.   +8 more
europepmc   +1 more source

BSNeRF: Broadband Spectral Neural Radiance Fields for Snapshot Multispectral Light-field Imaging [PDF]

Erqi Huang, John Fernando Restrepo Tamayo, Xun Cao, Ivo Ihrke   +3 more
openalex   +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

A dataset for vineyard disease detection via multispectral imaging. [PDF]

Data Brief
Saccuti A, Graziosi F, Lodi Rizzini D.
europepmc   +1 more source

A Comparative Assessment of Different Modeling Algorithms for Estimating Leaf Nitrogen Content in Winter Wheat Using Multispectral Images from an Unmanned Aerial Vehicle [PDF]

, 2018
Hengbiao Zheng, Wei Li, Jiale Jiang, Yong Liu, Tao Cheng, Yongchao Tian, Yan Zhu, Weixing Cao, Yu Zhang, Xia Yao   +9 more
openalex   +1 more source

Multispectral imaging

Archivalia, 2003
openaire   +2 more sources

Breaking down seagrass fragmentation in a marine heatwave impacted World Heritage Area

Remote Sensing in Ecology and Conservation, EarlyView.
Habitat fragmentation can exacerbate the impacts of habitat loss but is rarely quantified in marine environments. Using satellite‐derived habitat maps, we identify widespread seagrass fragmentation following a marine heatwave that contributed to a dramatic shift in seascape structure in the Shark Bay World Heritage Area.
Michael D. Taylor, Simone Strydom, Matthew W. Fraser, Ana M. M. Sequeira, Gary A. Kendrick   +4 more
wiley   +1 more source