Ramón Alberto Díaz-Varela

Ecology · 2014–2016

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Ecology — 8 citations into it; #6,795 of 10,717 by trust here, #4,784 by citations
• Environmental Engineering — 8 citations into it; #3,741 of 5,479 by trust here, #1,681 by citations
• Geology — 8 citations into it; #533 of 687 by trust here, #371 by citations
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Ramón Alberto Díaz-Varela trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Thomas Blaschke
2. Pablo J. Zarco-Tejada
3. Mike R. James
4. Jose A. Jiménez-Berni
5. Stuart Robson

Who trusts Ramón Alberto Díaz-Varela overall

1. Zhen Zhen
2. Helge Aasen
3. Ruizhi Chen
4. Lindi J. Quackenbush
5. Luke Wallace

Papers from Ramón Alberto Díaz-Varela's perspective

Ordered by how strongly the researchers Ramón Alberto Díaz-Varela trusts endorse each paper. Same corpus, a different order for every researcher.

1. Multi-resolution, object-oriented fuzzy analysis of remote sensing data to GIS ready information (Research on computing science)
2. Object based image analysis for remote sensing
3. Tree height quantification using very high resolution imagery acquired from an unmanned aerial vehicle (UAV) and automatic 3D photo-reconstruction methods
4. Straightforward reconstruction of 3D surfaces and topography with a camera: Accuracy and geoscience application
5. An Automated Technique for Generating Georectified Mosaics from Ultra-High Resolution Unmanned Aerial Vehicle (UAV) Imagery, Based on Structure from Motion (SfM) Point Clouds (Remote Sensing)
6. Inventory of Small Forest Areas Using an Unmanned Aerial System (Remote Sensing)
7. Performance of dense digital surface models based on image matching in the estimation of plot-level forest variables
8. Modeling the World from Internet Photo Collections (International Journal of Computer Vision)
9. Camera calibration toolbox for matlab
10. Detecting change in vague interpretations of landscapes

Their papers

• Short Communication. Using high resolution UAV imagery to estimate tree variables in Pinus pinea plantation in Portugal (2016) — 56 citations
• High-Resolution Airborne UAV Imagery to Assess Olive Tree Crown Parameters Using 3D Photo Reconstruction: Application in Breeding Trials (2015) — 299 citations
• Tree height quantification using very high resolution imagery acquired from an unmanned aerial vehicle (UAV) and automatic 3D photo-reconstruction methods (2014) — 519 citations