Results 81 to 90 of about 11,195 (191)

Assessment of AVIRIS data from vegetated sites in the Owens Valley, California [PDF]

open access: yes
Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) data were acquired from the Bishop, CA area, located at the northern end of the Owens Valley, on July 30, 1987.
Defeo, N. J.   +2 more
core   +1 more source

Use of waveform lidar and hyperspectral sensors to assess selected spatial and structural patterns associated with recent and repeat disturbance and the abundance of sugar maple (Acer saccharum Marsh.) in a temperate mixed hardwood and conifer forest. [PDF]

open access: yes, 2011
Waveform lidar imagery was acquired on September 26, 1999 over the Bartlett Experimental Forest (BEF) in New Hampshire (USA) using NASA\u27s Laser Vegetation Imaging Sensor (LVIS).
Anderson, Jeanne E   +11 more
core   +2 more sources

Unlocking ecological insights from sub‐seasonal visible‐to‐shortwave infrared imaging spectroscopy: The SHIFT campaign

open access: yesEcosphere, Volume 16, Issue 3, March 2025.
Abstract We stand at the threshold of a transformative era in Earth observation, marked by space‐borne visible‐to‐shortwave infrared (VSWIR) imaging spectrometers that promise consistent global observations of ecosystem function, phenology, and inter‐ and intra‐annual change.
K. Dana Chadwick   +112 more
wiley   +1 more source

Decoding the Spatiotemporal Complexities of the Permafrost Carbon Feedback With Multimodal Ensemble Learning

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 1, March 2025.
Abstract Complex nonlinear relationships exist between the permafrost thermal state, active layer thickness, and terrestrial carbon cycle dynamics. In Arctic and boreal Alaska, significant uncertainties characterize the spatiotemporal rate and magnitude of permafrost degradation and the permafrost carbon feedback, with increasing recognition of the ...
B. A. Gay   +5 more
wiley   +1 more source

A novel method for detecting soil salinity using AVIRIS-NG imaging spectroscopy and ensemble machine learning

open access: yesIsprs Journal of Photogrammetry and Remote Sensing, 2023
Ayan Das   +4 more
semanticscholar   +1 more source

Quantification of wetland vegetation communities features with airborne AVIRIS-NG, UAVSAR, and UAV LiDAR data in Peace-Athabasca Delta

open access: yesRemote Sensing of Environment, 2023
Chao Wang   +19 more
semanticscholar   +1 more source

Mangrove Species Discrimination and Health Assessment using AVIRIS-NG Hyperspectral Data

open access: yesCurrent Science, 2019
Mangroves play a major role in supporting biodiversity, providing economic and ecological security to the coastal communities, mitigating the effects of climate change and global warming.
N. Chaube   +7 more
semanticscholar   +1 more source

A New Semisupervised-Entropy Framework of Hyperspectral Image Classification Based on Random Forest

open access: yesAdvances in Multimedia, 2018
The purposes of the algorithm presented in this paper are to select features with the highest average separability by using the random forest method to distinguish categories that are easy to distinguish and to select the most divisible features from the
Mengmeng Sun   +4 more
doaj   +1 more source

Quantifying CH4 point source emissions with airborne remote sensing: first results from AVIRIS-4 [PDF]

open access: yesAtmospheric Measurement Techniques
Atmospheric concentration of methane (CH4), a potent greenhouse gas, increased significantly since pre-industrial times, with anthropogenic emissions originating primarily from agriculture, fossil fuel sector and waste management.
S. Meier   +9 more
doaj   +1 more source

Relationships of soil, grass, and bedrock over the Kaweah serpentine melange through spectral mixture analysis of AVIRIS data [PDF]

open access: yes
A linear mixing model is used to model the spectral variability of an AVIRIS scene from the western foothills of the Sierra Nevada and calibrate these radiance data to reflectance.
Mustard, John F.
core   +1 more source

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