Evaluation of AVIRIS-NG hyperspectral images for mineral identification and mapping [PDF]
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 +5 more sources
Identification of hydrothermal altered/weathered and clay minerals through airborne AVIRIS-NG hyperspectral data in Jahajpur, India [PDF]
Heliyon, 2020 Advanced visible infrared imaging spectrometer-new generation (AVIRIS-NG) airborne Hyperspectral data has 5nm spectral resolution which allows us to identify characteristic spectral signatures of the different altered and weathered mineral assemblage. In
Mahesh Kumar Tripathi +2 more
doaj +5 more sources
Improved Boreal Forest Wildfire Fuel Type Mapping in Interior Alaska Using AVIRIS-NG Hyperspectral Data [PDF]
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 +3 more
doaj +6 more sources
Potentials of Airborne Hyperspectral AVIRIS-NG Data in the Exploration of Base Metal Deposit—A Study in the Parts of Bhilwara, Rajasthan [PDF]
Remote Sensing, 2021 In this study, we have processed the spectral bands of airborne hyperspectral data of Advanced Visible Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) data for delineating the surface signatures associated with the base metal mineralization in ...
Arindam Guha +9 more
doaj +3 more sources
Denoising AVIRIS-NG Data for Generation of New Chlorophyll Indices. [PDF]
IEEE Sens J, 2021 The availability of Airborne Visible and Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) data has enormous possibilities for quantification of Leaf Chlorophyll Content (LCC). The present study used the AVIRIS-NG campaign site of Western India for generation and validation of new chlorophyll indices by denoising the AVIRIS-NG data.
Singh P +6 more
europepmc +3 more sources
IDENTIFICATION OF IRON OXIDES MINERALS IN WESTERN JAHAJPUR REGION, INDIA USING AVIRIS-NG HYPERSPECTRAL REMOTE SENSING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 Hyperspectral remote sensing is being considered as an advanced technique for mineral identification of surficial deposits. In this research different iron oxides minerals such as limonite, goethite has been identified using AVIRIS-NG airborne ...
H. Govil +4 more
doaj +3 more sources
Semantic segmentation of methane plumes with hyperspectral machine learning models. [PDF]
Sci Rep, 2023 Methane is the second most important greenhouse gas contributor to climate change; at the same time its reduction has been denoted as one of the fastest pathways to preventing temperature growth due to its short atmospheric lifetime.
Růžička V +5 more
europepmc +3 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 +2 more
doaj +2 more sources
Tree species classification from AVIRIS-NG hyperspectral imagery using convolutional neural networks [PDF]
, 2022 This study focuses on the automatic classification of tree species using a three-dimensional convolutional neural network (CNN) based on field-sampled ground reference data, a LiDAR point cloud and AVIRIS-NG airborne hyperspectral remote sensing imagery ...
Zehnder, Benjamin
core +3 more sources
Airborne imaging spectroscopy surveys of Arctic and boreal Alaska and northwestern Canada 2017–2023 [PDF]
Scientific DataSince 2015, NASA’s Arctic Boreal Vulnerability Experiment (ABoVE) has investigated how climate change impacts the vulnerability and/or resilience of the permafrost-affected ecosystems of Alaska and northwestern Canada.
Charles E. Miller +38 more
doaj +2 more sources