Results 151 to 160 of about 732,743 (205)

Exploring, Mapping, and Data Management Integration of Habitable Environments in Astrobiology. [PDF]

Front Microbiol, 2019
Chan MA, Bowen BB, Corsetti FA, Farrand WH, Law ES, Newsom HE, Spear JR, Thompson DR.   +7 more
europepmc   +1 more source

Deep learning for detecting and characterizing oil and gas well pads in satellite imagery. [PDF]

Nat Commun
Ramachandran N, Irvin J, Omara M, Gautam R, Meisenhelder K, Rostami E, Sheng H, Ng AY, Jackson RB.   +8 more
europepmc   +1 more source

Research on Water Quality Chemical Oxygen Demand Detection Using Laser-Induced Fluorescence Image Processing. [PDF]

Sensors (Basel)
Guo Y, Tian Z, Bi Z, Che X, Yin S.
europepmc   +1 more source

Relating Multi-Scale Plume Detection and Area Estimates of Methane Emissions: A Theoretical and Empirical Analysis. [PDF]

Environ Sci Technol
Pandey S, Worden J, Cusworth DH, Varon DJ, Thill MD, Jacob DJ, Bowman KW.   +6 more
europepmc   +1 more source

Probability of Detection and Multi-Sensor Persistence of Methane Emissions from Coincident Airborne and Satellite Observations. [PDF]

Environ Sci Technol
Ayasse AK, Cusworth DH, Howell K, O'Neill K, Conrad BM, Johnson MR, Heckler J, Asner GP, Duren R.   +8 more
europepmc   +1 more source

PAVC: The foundation for a Pan-Arctic Vegetation Cover database. [PDF]

Sci Data
Steckler MR, Kumar J, Breen AL, Zhang T, Hoffman FM, Hargrove WW, Walker DA, Wells AF, Droghini A, Nawrocki TW, Wullschleger SD, Macander MJ, Frost GV, Salmon VG, Barnett DT, Iversen CM.   +15 more
europepmc   +1 more source

Loss of tumor suppressor TMEM127 drives RET-mediated transformation through disrupted membrane dynamics. [PDF]

Elife
Walker TJ, Reyes-Alvarez E, Hyndman BD, Sugiyama MG, Oliveira LCB, Rekab AN, Crupi MJF, Cabral-Dias R, Guo Q, Dahia PLM, Richardson DS, Antonescu CN, Mulligan LM.   +12 more
europepmc   +1 more source

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Unsupervised Classification of Aviris-NG Hyperspectral Images

2021 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2021
In hyperspectral imaging for remote sensing, learning from unlabeled data by unsupervised methods is very challenging and it is the subject of considerable recent interest since the collection of large datasets by aircraft, UAVs and satellites has become ubiquitous.
Kangning Cui, Robert J. Plemmons
openaire   +2 more sources

AVIRIS-NG-Like Smart Virtual Remote Sensing via Spectra-Aware Physics Informed GANs

Volume 5: 21st IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA); 49th Mechanisms and Robotics Conference (MR)
Abstract This paper aims to create a physics informed virtual replica of the hyperspectral image captured by NASA’s Airborne Visible InfraRed Imaging Spectrometer - Next Generation (AVIRIS-NG) sensor equipped on manned aircraft. Few image samples are selected from study site around New Mexico, USA from flight mission ran in 2019.
Sachin Giri, Rafal Krzysiak, Derek Hollenbeck, YangQuan Chen   +3 more
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Potential of hyperspectral AVIRIS-NG data for vegetation characterization, species spectral separability, and mapping

Applied Geomatics, 2021
The present study deals with hyperspectral species mapping, utilization of optimal bands, and studying the spectral separability of vegetation species using AVIRIS-NG data. To reduce data redundancy, a wide range of optimal spectral bands (491 nm, 541 nm, 641 nm, 722 nm, 772 nm, 852 nm, 942 nm, 1047 nm, 1132 nm, 1443 nm, and 2475 nm) were selected and ...
Shahbaz Ahmad, Arvind Chandra Pandey, Amit Kumar, Nikhil V. Lele   +3 more
openaire   +2 more sources