Results 21 to 30 of about 732,743 (205)

Assessing the effectiveness of ground truth data to capture landscape variability from an agricultural region using Gaussian simulation and geostatistical techniques [PDF]

Heliyon, 2021
Predictive modeling with remotely sensed data requires an accurate representation of spatial variability by ground truth data. In this study, we assessed the reliability of the size and location of ground truth data in capturing the landscape spatial ...
Eric Ariel L. Salas, Sakthi Kumaran Subburayalu, Brian Slater, Rucha Dave, Parshva Parekh, Kaiguang Zhao, Bimal Bhattacharya   +6 more
doaj   +2 more sources

Improved methane emission estimates using AVIRIS-NG and an Airborne Doppler Wind Lidar [PDF]

Remote Sensing of Environment, 2021
<p>This study demonstrates the utility of combining Airborne Doppler Wind Lidar measurements and quantitative methane (CH4) retrievals from the Next Generation Airborne Visible/Infrared Imaging Spectrometer (AVIRIS-NG) to estimate CH4 emission rates.
Andrew Thorpe, Christopher O’Handley, George Emmitt, Philip Decola, Francesca Hopkins, Vineet Yadav, Abhinav Guha, Sally Newman, Jorn Herner, Matthias Falk, Riley Duren   +10 more
openaire   +4 more sources

A novel method to simulate AVIRIS-NG hyperspectral image from Sentinel-2 image for improved vegetation/wildfire fuel mapping, boreal Alaska

International Journal of Applied Earth Observations and Geoinformation, 2022
Detailed vegetation maps are one of the primary inputs for forest and wildfire management. Hyperspectral remote sensing is a proven technique for detailed and accurate vegetation mapping.
Anushree Badola, Santosh K. Panda, Dar A. Roberts, Christine F. Waigl, Randi R. Jandt, Uma S. Bhatt   +5 more
doaj   +2 more sources

Airborne methane remote measurements reveal heavy-tail flux distribution in Four Corners region. [PDF]

Proc Natl Acad Sci U S A, 2016
Methane (CH_4) impacts climate as the second strongest anthropogenic greenhouse gas and air quality by influencing tropospheric ozone levels. Space-based observations have identified the Four Corners region in the Southwest United States as an area of ...
Frankenberg C, Thorpe AK, Thompson DR, Hulley G, Kort EA, Vance N, Borchardt J, Krings T, Gerilowski K, Sweeney C, Conley S, Bue BD, Aubrey AD, Hook S, Green RO.   +14 more
europepmc   +4 more sources

Automated lithological mapping by integrating spectral enhancement techniques and machine learning algorithms using AVIRIS-NG hyperspectral data in Gold-bearing granite-greenstone rocks in Hutti, India

International Journal of Applied Earth Observations and Geoinformation, 2020
In this study, we proposed an automated lithological mapping approach by using spectral enhancement techniques and Machine Learning Algorithms (MLAs) using Airborne Visible Infrared Imaging Spectroradiometer-Next Generation (AVIRIS-NG) hyperspectral data
Chandan Kumar, Snehamoy Chatterjee, Thomas Oommen, Arindam Guha   +3 more
doaj   +2 more sources

Detection and quantification of CH₄ plumes using the WFM-DOAS retrieval on AVIRIS-NG hyperspectral data [PDF]

Atmospheric Measurement Techniques, 2021
Methane is the second most important anthropogenic greenhouse gas in the Earth's atmosphere. To effectively reduce these emissions, a good knowledge of source locations and strengths is required.
J. Borchardt, K. Gerilowski, S. Krautwurst, H. Bovensmann, A. K. Thorpe, D. R. Thompson, C. Frankenberg, C. Frankenberg, C. E. Miller, R. M. Duren, R. M. Duren, J. P. Burrows   +11 more
doaj   +3 more sources

Coupling numerical models of deltaic wetlands with AirSWOT, UAVSAR, and AVIRIS-NG remote sensing data [PDF]

Biogeosciences
Coastal marsh survival relies on the ability to increase elevation and offset sea level rise. It is therefore important to realistically model sediment fluxes between marshes, tidal channels, and bays as sediment availability controls accretion ...
L. Cortese, C. Donatelli, C. Donatelli, X. Zhang, J. A. Nghiem, M. Simard, C. E. Jones, M. Denbina, C. G. Fichot, J. P. Harringmeyer, S. Fagherazzi   +10 more
doaj   +2 more sources

Vegetation health conditions assessment and mapping using AVIRIS-NG hyperspectral and field spectroscopy data for -environmental impact assessment in coal mining sites

Ecotoxicology and Environmental Safety, 2022
This paper focuses on vegetation health conditions (VHC) assessment and mapping using high resolution airborne hyperspectral AVIRIS-NG imagery and validated with field spectroscopy-based vegetation spectral data.
Narayan Kayet, Ph.D, Khanindra Pathak, Ph.D, C.P. Singh, Ph.D, V.M. Chowdary, Ph.D, Bimal K. Bhattacharya, Ph.D, Dheeraj Kumar, Subodh Kumar, Ph.D, Ibrahim Shaik, Ph.D   +7 more
doaj   +2 more sources

Automating band selection for hyperspectral indices: bridging AVIRIS-NG and Sentinel-2 satellite data for earth science applications

Frontiers in Earth Science
Hyperspectral data from the Airborne Visible and Infra-Red Imaging Spectrometer – Next-Generation (AVIRIS-NG) offers transformative potential for Earth science research, enabling detailed analysis of land surface processes, resource monitoring, and ...
Veerendra Satya Sylesh Peddinti, Venkata Ravibabu Mandla, Shashi Mesapam, Suresh Kancharla   +3 more
doaj   +2 more sources

Imaging Spectroscopic Analysis of Biochemical Traits for Shrub Species in Great Basin, USA [PDF]

Remote Sensing, 2018
The biochemical traits of plant canopies are important predictors of photosynthetic capacity and nutrient cycling. However, remote sensing of biochemical traits in shrub species in dryland ecosystems has been limited mainly due to the sparse vegetation ...
Yi Qi, Susan L. Ustin, Nancy F. Glenn
doaj   +5 more sources