Results 11 to 20 of about 11,195 (191)

Species-Level Classification and Mapping of a Mangrove Forest Using Random Forest—Utilisation of AVIRIS-NG and Sentinel Data

Remote Sensing, 2021
Although studies on species-level classification and mapping using multisource data and machine learning approaches are plenty, the use of data with ideal placement of central wavelength and bandwidth at appropriate spatial resolution, for the ...
Mukunda Dev Behera, Surbhi Barnwal, Somnath Paramanik, Pulakesh Das, Bimal Kumar Bhattyacharya, Buddolla Jagadish, Parth S. Roy, Sujit Madhab Ghosh, Soumit Kumar Behera   +8 more
doaj   +2 more sources

Evaluation of Simulated AVIRIS-NG Imagery Using a Spectral Reconstruction Method for the Retrieval of Leaf Chlorophyll Content

Remote Sensing, 2022
The leaf chlorophyll content (LCC) is a vital parameter that indicates plant production, stress, and nutrient availability. It is critically needed for precision farming. There are several multispectral images available freely, but their applicability is
Bhagyashree Verma, Rajendra Prasad, Prashant K. Srivastava, Prachi Singh, Anushree Badola, Jyoti Sharma   +5 more
doaj   +2 more sources

Hyperspectral Data Simulation (Sentinel-2 to AVIRIS-NG) for Improved Wildfire Fuel Mapping, Boreal Alaska

Remote Sensing, 2021
Alaska has witnessed a significant increase in wildfire events in recent decades that have been linked to drier and warmer summers. Forest fuel maps play a vital role in wildfire management and risk assessment. Freely available multispectral datasets are
Anushree Badola, Santosh K. Panda, Dar A. Roberts, Christine F. Waigl, Uma S. Bhatt, Christopher W. Smith, Randi R. Jandt   +6 more
doaj   +2 more sources

Improved Boreal Forest Wildfire Fuel Type Mapping in Interior Alaska Using AVIRIS-NG Hyperspectral Data

Remote Sensing, 2021
In Alaska the current wildfire fuel map products were generated from low spatial (30 m) and spectral resolution (11 bands) Landsat 8 satellite imagery which resulted in map products that not only lack the granularity but also have insufficient accuracy ...
Christopher William Smith, Santosh K. Panda, Uma Suren Bhatt, Franz J. Meyer   +3 more
doaj   +2 more sources

Identification of malachite and alteration minerals using airborne AVIRIS-NG hyperspectral data

Quaternary Science Advances, 2021
Hyperspectral remote sensing technique is a robust technique for the delineation and mapping of hydrothermally altered and weathered mineral deposits. The purpose of present study is to identify, delineate and map the altered zones by AVIRIS-NG Airborne ...
Gaurav Mishra, Himanshu Govil, Prashant Kumar Srivastava   +2 more
doaj   +2 more sources

Airborne DOAS retrievals of methane, carbon dioxide, and water vapor concentrations at high spatial resolution: application to AVIRIS-NG [PDF]

Atmospheric Measurement Techniques, 2017
At local scales, emissions of methane and carbon dioxide are highly uncertain. Localized sources of both trace gases can create strong local gradients in its columnar abundance, which can be discerned using absorption spectroscopy at high spatial ...
A. K. Thorpe, C. Frankenberg, C. Frankenberg, D. R. Thompson, R. M. Duren, A. D. Aubrey, B. D. Bue, R. O. Green, K. Gerilowski, T. Krings, J. Borchardt, E. A. Kort, C. Sweeney, S. Conley, S. Conley, D. A. Roberts, P. E. Dennison   +16 more
doaj   +2 more sources

Evaluation of AVIRIS-NG hyperspectral images for mineral identification and mapping

Heliyon, 2019
Advancement of airborne hyperspectral remote sensing techniques provides subtle variations to identify minerals and to make distinctions between rock formations. These techniques clearly define barren land versus economically viable zones containing ores
Mahesh Kumar Tripathi, H. Govil
doaj   +2 more sources

AVIRIS‐3 Rapid Response to January 2025 Los Angeles Wildfires

Geophysical Research Letters
Wildfires in wildland‐urban interfaces (WUIs) are a growing concern due to their devastating impact on human communities and ecosystems. Low‐latency impact assessment is critical for wildfire response, yet immediate access to fire‐affected communities ...
Megan Ward‐Baranyay, Red Willow Coleman, Mark Wronkiewicz, Francisco Ochoa, Daniel Sousa, Ceth W. Parker, David R. Thompson, Clayton D. Elder, Gregory S. Okin, K. Dana Chadwick, Kimberley Miner, John Chapman, Regina Eckert, Daniel Jensen, Robert O. Green, Philip G. Brodrick   +15 more
doaj   +2 more sources

Functional Traits From Imaging Spectroscopy Inform Patterns of Forest Mortality During Sierra Nevada Drought. [PDF]

Glob Chang Biol
We used plant trait information to improve understanding of forest mortality patterns following the 2012–2016 California megadrought. We found that mortality related to traits associated with photosynthesis, leaf hardiness, and forest structure. ABSTRACT California's 2012–2016 megadrought led to the mortality of over 100 million trees.
Queally N, Zheng T, Ye Z, Kovach KR, Pavlick R, Shafron E, Schneider FD, Townsend PA.   +7 more
europepmc   +2 more sources

Species-level classification of mangrove forest using AVIRIS-NG hyperspectral imagery

Remote Sensing Letters, 2023
Species-level classification of mangroves provides important inputs for conservation, rehabilitation and understanding of ecosystem functions. The hyperspectral sensor, Airborne Visible InfraRed Imaging Spectrometer-New Generation (AVIRIS-NG), holds ...
S. Paramanik, N. Deep, M. D. Behera, B. Bhattacharya, J. Dash   +4 more
semanticscholar   +1 more source