Results 121 to 130 of about 65,050 (262)

Classifying Complex Mountainous Forests with L-Band SAR and Landsat Data Integration: A Comparison among Different Machine Learning Methods in the Hyrcanian Forest

Remote Sensing, 2014
Forest environment classification in mountain regions based on single-sensor remote sensing approaches is hindered by forest complexity and topographic effects.
Sara Attarchi, Richard Gloaguen
doaj   +1 more source

Composites of Shellac and Silver Nanowires as Flexible, Biobased, and Corrosion‐Resistant Transparent Conductive Electrodes

Advanced Functional Materials, EarlyView.
Shellac, a centuries‐old natural resin, is reimagined as a green material for flexible electronics. When combined with silver nanowires, shellac films deliver transparency, conductivity, and stability against humidity. These results position shellac as a sustainable alternative to synthetic polymers for transparent conductors in next‐generation ...
Rahaf Nafez Hussein, Tiago Carneiro Gomes, Eliza Ng, Simon Rondeau‐Gagné, Tricia Breen Carmichael   +4 more
wiley   +1 more source

A classification of New Zealand’s terrestrial ecosystems [PDF]

, 2014
This study produces a comprehensive terrestrial ecosystem classification by subjectively constructing a heirarchy of perceived key environmental drivers.
Nicholas J. D. Singers, Geoffrey M. Rogers   +1 more
core  

3D Printing Innovations in Polymeric Porous and Patterned Architecture

Advanced Functional Materials, EarlyView.
Polymeric foams occupy a unique structural space between dense solids and open networks, where engineered void fraction governs mechanical compliance, thermal resistance, and mass transport. Additive manufacturing now enables precise spatial control over cellular architecture, unlocking designer foam structures across applications spanning crash ...
Dhanush Patil, Sri Vaishnavi Thummalapalli, Clarissa Westover, Arunachalam Ramanathan, M. Taylor Sobzcak, Roumika Patil, Qixuan Xiang, Tiantian Li, Sui Yang, Timothy E. Long, Hongyue Sun, Xianqiao Wang, Yang Liu, Kenan Song   +13 more
wiley   +1 more source

Ultrasmall High‐Entropy Materials: Nanoscale Effects, Synthesis, and Mechanistic Insights

Advanced Functional Materials, EarlyView.
This review article focuses on sub‐10 nm high‐entropy materials that combine nanoscale design with complex compositions for next‐generation applications. ABSTRACT Ultrasmall high‐entropy nanomaterials (USHENMs, <10 nm) merge multicomponent chemistry with size‐dependent effects, forming a distinct class of materials with unprecedented properties.
Yueyue He, Wenbo Wang, Simon Schweidler, Yanjiao Ma, Ben Breitung, Torsten Brezesinski   +5 more
wiley   +1 more source

Canopy structural modeling using object-oriented image classification and laser scanning

, 2008
A terrestrial laser scanning (TLS) experiment was carried out in the EAGLE 2006 campaign to characterize and model the canopy structure of the Speulderbos forest. Semi-variogram analysis was used to describe spatial variability of the surface.
Vekerdy, Zoltán, Dost, R., Timmermans, J., Laake, P. van   +3 more
core  

Comparative analysis of deep learning approaches for forest stand type classification: insights from the new VHRTreeSpecies benchmark dataset

International Journal of Digital Earth
Remotely sensed data are widely used for forest stand type classification; however, traditional classification methods are time consuming and mostly implemented for spatially limited areas and species, restricting the transferability of these models to ...
Elif Sertel, Sule Nur Topgul
doaj   +1 more source

Thermally Pre‐Formed Reconfigurable Resistive Random‐Access Memory Crossbar Arrays: A Dual‐Mode Platform for Robust Physically Unclonable Functions and In‐Memory Computing

Advanced Functional Materials, EarlyView.
A reconfigurable RRAM platform utilizing thermally pre‐formed filaments (TPFs) is developed to realize robust hardware security. By exploiting the thermodynamic stochasticity of TPFs, exceptionally reliable physically unclonable functions (PUFs) are achieved.
Seongbin Kwon, Taewon Lee, Dohyeong Kim, Sungmin Hwang, Sungjoon Kim   +4 more
wiley   +1 more source

Stand classification for natural selection forestry in the Tokyo University Forest in Hokkaido

, 2014
Stand classification is an essential technique in the Tokyo University Forest inHokkaido, because it serves as the basis for spatial forest management planning. In order to understand the operational criteria on how stand classification has been made, we
Yuji Nakagawa, Owari, Toshiaki, Fukushi, Kenji, Inukai, Hiroshi, Toshiaki Owari, Nakagawa, Yuji, Hiroshi Inukai, Kenji Fukushi   +7 more
core  

The Effect of Topographic Correction on Forest Tree Species Classification Accuracy

, 2020
Topographic correction can reduce the influences of topographic factors and improve the accuracy of forest tree species classification when using remote-sensing data to investigate forest resources.
Gengxing Zhao, Yan Meng, Baihong Li, Chao Dong, Bo Peng   +4 more
core   +1 more source