Results 101 to 110 of about 36,270 (292)

A leaf phenomics approach for estimating belowground traits in North American licorice

open access: yesAmerican Journal of Botany, EarlyView.
Abstract Premise Selective breeding over thousands of years has prioritized aboveground yield, with little regard for changes belowground. Roots underpin plant growth and resilience, but our knowledge of these critical structures lags behind that of aboveground structures.
Zachary N. Harris   +5 more
wiley   +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

Spatial Cell Death and Oxidative Stress Dynamics in Gas Plasma‐Treated Tumor Tissues

open access: yesAdvanced NanoBiomed Research, EarlyView.
Schematic representation of the four experimental models to study tissue penetration and oxidation. Four tissue models were used. Human pancreatic cancer cells were grown on the chorioallantois membrane of chicken embryos and gas plasma‐treated in ovo, murine colorectal tumor tissue was gas plasma‐exposed ex vivo, murine squamous cell carcinoma cells ...
Anke Schmidt   +4 more
wiley   +1 more source

Editorial Special Issue on Enhancement Algorithms, Methodologies and Technology for Spectral Sensing [PDF]

open access: yes, 2010
The paper is an editorial issue on enhancement algorithms, methodologies and technology for spectral sensing and serves as a valuable and useful reference for researchers and technologists interested in the evolving state-of-the-art and/or the emerging ...
Gillespie, Patti   +7 more
core   +1 more source

Precise Crop Classification Using Spectral-Spatial-Location Fusion Based on Conditional Random Fields for UAV-Borne Hyperspectral Remote Sensing Imagery

open access: yesRemote Sensing, 2019
The precise classification of crop types is an important basis of agricultural monitoring and crop protection. With the rapid development of unmanned aerial vehicle (UAV) technology, UAV-borne hyperspectral remote sensing imagery with high spatial ...
Lifei Wei   +6 more
doaj   +1 more source

Archaeological Damage Assessment in Conflict Zones: Integrating Satellite Imagery and Ground Surveys in Daraa, Syria

open access: yesArchaeological Prospection, EarlyView.
ABSTRACT Satellite remote sensing is among the most significant modern methodologies supporting field archaeology. In addition to its efficiency in identifying archaeological sites, remote sensing offers a safe and cost‐effective approach in conflict zones.
Amal Al Kassem   +5 more
wiley   +1 more source

Explorable 3D Hyperspectral Models from Multi-Angle Gimballed LWIR Pushbroom Imagery

open access: yesRemote Sensing
Hyperspectral imaging in the long-wave infrared (LWIR) range enables identification of chemical compositions and material properties, but reconstructing 3D models from gimballed pushbroom sensors remains challenging because their unique acquisition ...
Nikolay Golosov   +2 more
doaj   +1 more source

Cutting Through the Green: A Case for Grassland Archaeology Using UAV Multispectral Data

open access: yesArchaeological Prospection, EarlyView.
ABSTRACT Advances in low‐altitude remote sensing are needed to improve the effectiveness of archaeological prospection in the Netherlands. The geomorphological situation and land use history make applying various remote sensing and geophysical technologies particularly challenging.
Roeland Emaus
wiley   +1 more source

Hyperspectral imagery super-resolution by sparse representation and spectral regularization

open access: yesEURASIP Journal on Advances in Signal Processing, 2011
For the instrument limitation and imperfect imaging optics, it is difficult to acquire high spatial resolution hyperspectral imagery. Low spatial resolution will result in a lot of mixed pixels and greatly degrade the detection and recognition ...
Zhao Yongqiang   +5 more
doaj  

A Novel Fully Convolutional Auto-Encoder Based on Dual Clustering and Latent Feature Adversarial Consistency for Hyperspectral Anomaly Detection

open access: yesRemote Sensing
With the development of artificial intelligence, the ability to capture the background characteristics of hyperspectral imagery (HSI) has improved, showing promising performance in hyperspectral anomaly detection (HAD) tasks.
Rui Zhao   +3 more
doaj   +1 more source

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