Guang Zheng

Italian National Conference on Sensors · 2009–2018

A researcher in the Science corpus: 2 papers; trusts 0 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Whom Guang Zheng trusts overall

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

  1. Mercedes Berterretche
  2. Warren B. Cohen
  3. Andrew Thomas Hudak
  4. S. Smolander
  5. Fumiki Hosoi
  6. S. Fleck
  7. Pauline Stenberg

Who trusts Guang Zheng overall

  1. Bastian Siegmann
  2. William Woodgate
  3. Thomas Jarmer
  4. Scott V. Ollinger
  5. Teja Kattenborn
  6. John Armston
  7. Jesús Delegido
  8. Mathias I. Disney

Papers from Guang Zheng's perspective

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

  1. Review of methods for in situ leaf area index determination Part I. Theories, sensors and hemispherical photography
  2. Simple parameterizations of the radiation budget of uniform broadleaved and coniferous canopies
  3. Volume estimates of trees with complex architecture from terrestrial laser scanning
  4. An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning (Remote Sensing)
  5. The structural and radiative consistency of three-dimensional tree reconstructions from terrestrial lidar
  6. Voxel-Based 3-D Modeling of Individual Trees for Estimating Leaf Area Density Using High-Resolution Portable Scanning Lidar (IEEE Transactions on Geoscience and Remote Sensing)
  7. Comparison of regression and geostatistical methods for mapping Leaf Area Index (LAI) with Landsat ETM+ data over a boreal forest.
  8. A progressive morphological filter for removing nonground measurements from airborne LIDAR data (IEEE Transactions on Geoscience and Remote Sensing)
  9. Automatic forest inventory parameter determination from terrestrial laser scanner data
  10. Automatic Stem Mapping Using Single-Scan Terrestrial Laser Scanning (IEEE Transactions on Geoscience and Remote Sensing)

Their papers