Marco Vizzari

Ecology · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Marco Vizzari trusts overall

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

  1. Mryka Hall-Beyer
  2. Giles M. Foody
  3. Thomas Blaschke
  4. Radhakrishna Achanta
  5. D. Flanders
  6. Paolo Benincasa
  7. Patrick Griffiths
  8. L. López-Bellido
  9. Jun Xiong
  10. Sabine Süsstrunk

Papers from Marco Vizzari's perspective

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

  1. Object based image analysis for remote sensing
  2. Google Earth Engine: Planetary-scale geospatial analysis for everyone
  3. Hyperspectral Vegetation Indices and Their Relationships with Agricultural Crop Characteristics
  4. TensorFlow: A system for large-scale machine learning
  5. Evaluating Multispectral Images and Vegetation Indices for Precision Farming Applications from UAV Images (Remote Sensing)
  6. A Review of Methods for Sensing the Nitrogen Status in Plants: Advantages, Disadvantages and Recent Advances (Italian National Conference on Sensors)
  7. Regional yield estimation for winter wheat with MODIS-NDVI data in Shandong, China (International Journal of Applied Earth Observation and Geoinformation)
  8. Random Forests for land cover classification (Pattern Recognition Letters)
  9. Preliminary evaluation of eCognition object-based software for cut block delineation and feature extraction
  10. Optical Sensor‐Based Algorithm for Crop Nitrogen Fertilization

Their papers