Guillermo Castilla

Ecology · 2005–2016

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Ecology — 34 citations into it; #8,082 of 10,717 by trust here, #7,755 by citations
• Global and Planetary Change — 17 citations into it; #7,999 of 10,225 by trust here, #6,762 by citations
• Media Technology — 17 citations into it; #1,943 of 3,621 by trust here, #1,923 by citations
• Environmental Engineering — 15 citations into it
• Aerospace Engineering — 7 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Nature and Landscape Conservation — 7 citations into it

Whom Guillermo Castilla trusts overall

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

1. Thomas Blaschke
2. Charles Burnett
3. Serge Beucher
4. T. Kuhn
5. Thierry Toutin
6. Svein Solberg
7. Luc M. Vincent
8. Jungho Im
9. Geoffrey J. Hay
10. Robert E. Kennedy

Who trusts Guillermo Castilla overall

1. Thomas Blaschke
2. Gong Cheng
3. Urska Kanjir

Papers from Guillermo Castilla's perspective

Ordered by how strongly the researchers Guillermo Castilla trusts endorse each paper. Same corpus, a different order for every researcher.

1. A multi-scale segmentation/object relationship modelling methodology for landscape analysis
2. Multi-resolution, object-oriented fuzzy analysis of remote sensing data to GIS ready information (Research on computing science)
3. Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms
4. Status of land cover classification accuracy assessment
5. Review ArticleDigital change detection methods in ecosystem monitoring: a review
6. Mountain pine beetle and forest carbon feedback to climate change (Nature)
7. Change detection techniques
8. Image Segmentation Methods for Object-based Analysis and Classification
9. Use of watersheds in contour detection
10. Object-Oriented Image Processing in an Integrated GIS/Remote Sensing Environment and Perspectives for Environmental Applications

Their papers

• Remote sensing of forest pest damage: a review and lessons learned from a Canadian perspective* (2016) — 144 citations
• Geographic Object-Based Image Analysis (GEOBIA): A new name for a new discipline (2008) — 560 citations
• An automated object-based approach for the multiscale image segmentation of forest scenes (2005) — 378 citations