Results 111 to 120 of about 3,078,415 (263)

Classification of Land Cover, Forest, and Tree Species Classes with ZiYuan-3 Multispectral and Stereo Data

open access: yesRemote Sensing, 2019
The global availability of high spatial resolution images makes mapping tree species distribution possible for better management of forest resources.
Zhuli Xie   +4 more
doaj   +1 more source

Minnesota Forest Scene, Issue 18 (Spring 2017)

open access: yes, 2017
1 electronic resource (PDF, 6 pages; includes color photographs)University of Minnesota. Department of Forest Resources; Department of Forest Resources, University of Minnesota. (2017). Minnesota Forest Scene, Issue 18 (Spring 2017).
Department of Forest Resources, University of Minnesota   +1 more
core  

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch   +3 more
wiley   +1 more source

Minnesota Forest Scene, Issue 17 (Fall 2016)

open access: yes, 2016
1 electronic resource (PDF, 6 pages; includes color photographs)University of Minnesota. Department of Forest Resources; Department of Forest Resources, University of Minnesota. (2016). Minnesota Forest Scene, Issue 17 (Fall 2016).
Department of Forest Resources, University of Minnesota   +1 more
core  

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

open access: yesAdvanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara   +8 more
wiley   +1 more source

Minnesota Forest Scene, Issue 21 (Fall 2018)

open access: yes, 2018
1 electronic resource (PDF, 9 pages; includes color photographs)University of Minnesota. Department of Forest Resources; Department of Forest Resources, University of Minnesota. (2018). Minnesota Forest Scene, Issue 21 (Fall 2018).
Department of Forest Resources, University of Minnesota   +1 more
core  

Vegetation, topography and snow melt at the Forest-Tundra Ecotone in arctic Europe: a study using synthetic aperture radar [PDF]

open access: yes, 2003
This research was conducted as part of DART (Dynamic Response of the Forest-Tundra Ecotone to Environmental Change), a four year (1998-2002) European Commission funded international programme of research addressing the potential dynamic response of the ...
Dean, Andrew Mark
core  

Electrochemical Behavior of Flame‐Sprayed Sc‐Doped AlCoCrFeMo High‐Entropy Alloy Coatings in 3.5% Sodium Chloride Solution

open access: yesAdvanced Engineering Materials, EarlyView.
Scandium (Sc)‐doped AlCoCrFeMo HEA coatings are fabricated via flame spraying with 0.1, 0.3, and 0.5 wt% Sc additions. Among these, the HEA‐Sc0.3 coating exhibits the highest corrosion resistance, indicated by a more positive corrosion potential and lower current density.
Pankaj Kumar   +7 more
wiley   +1 more source

Enhanced forest monitoring through mapping with integrated seasonal canopy and spectral reflectance features

open access: yesFrontiers in Forests and Global Change
Forest mapping is essential for sustainable forest management and climate adaptation, enabling the assessment of forest composition and condition to prevent degradation.
Byungwoo Chang   +4 more
doaj   +1 more source

Minnesota Forest Scene, Issue 23 (Fall 2019)

open access: yes, 2019
1 electronic resource (PDF, 16 pages; includes color photographs)University of Minnesota. Department of Forest Resources; Department of Forest Resources, University of Minnesota. (2019). Minnesota Forest Scene, Issue 23 (Fall 2019).
Department of Forest Resources, University of Minnesota   +1 more
core  

Home - About - Disclaimer - Privacy