Justin Morgenroth
Ecology · 2015–2017
A researcher in the Science corpus: 3 papers; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Ecology — 43 citations into it
- Environmental Engineering — 21 citations into it
- Media Technology — 20 citations into it
- Nature and Landscape Conservation — 13 citations into it
- Artificial Intelligence — 12 citations into it
- Global and Planetary Change — 10 citations into it
- Atmospheric Science — 9 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
Whom Justin Morgenroth trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thomas Blaschke
- M. Wulder
- Dengsheng Lu
- D. Flanders
- Luuk Dorren
- Lucian Dragut
- Steen Magnussen
- Mike R. James
- Ben Somers
- Mengistie Kindu
Papers from Justin Morgenroth's perspective
Ordered by how strongly the researchers Justin Morgenroth trusts endorse each paper. Same corpus, a different order for every researcher.
- Integrating Contextual Information with per-Pixel Classification for Improved Land Cover Classification
- Object based image analysis for remote sensing
- A review of large area monitoring of land cover change using Landsat data
- Classification and Change Detection Using Landsat TM Data: When and How to Correct Atmospheric Effects?
- A survey of image classification methods and techniques for improving classification performance
- Preliminary evaluation of eCognition object-based software for cut block delineation and feature extraction
- An assessment of the effectiveness of a random forest classifier for land-cover classification
- Free Access to Landsat Imagery (Science)
- A new data fusion model for high spatial- and temporal-resolution mapping of forest disturbance based on Landsat and MODIS
- The global Landsat archive: Status, consolidation, and direction
Their papers
- Developments in Landsat Land Cover Classification Methods: A Review (2017) — 454 citations
- Optimising prediction of forest leaf area index from discrete airborne lidar (2017) — 50 citations
- 3D modelling of individual trees using a handheld camera: Accuracy of height, diameter and volume estimates (2015) — 116 citations