Trecia Kay-Ann Williams

Ecology · 2018

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Trecia Kay-Ann Williams trusts

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

  1. Feng Gao (in Ecology)
  2. Bo Huang (in Ecology)
  3. Huihui Song (in Ecology)
  4. Quazi K. Hassan (in Media Technology)
  5. Khaled Hazaymeh (in Media Technology)
  6. F. J. García-Haro (in Ecology)
  7. Caroline M. Gevaert (in Ecology)
  8. Peter M. Atkinson (in Media Technology)
  9. Qunming Wang (in Media Technology)

Papers from Trecia Kay-Ann Williams's perspective

Ordered by how strongly the researchers Trecia Kay-Ann Williams trusts endorse each paper. Same corpus, a different order for every researcher.

  1. On the blending of the Landsat and MODIS surface reflectance: predicting daily Landsat surface reflectance (IEEE Transactions on Geoscience and Remote Sensing)
  2. Multi-temporal MODIS-Landsat data fusion for relative radiometric normalization, gap filling, and prediction of Landsat data
  3. Assessing the accuracy of blending Landsat–MODIS surface reflectances in two landscapes with contrasting spatial and temporal dynamics: A framework for algorithm selection
  4. A new data fusion model for high spatial- and temporal-resolution mapping of forest disturbance based on Landsat and MODIS
  5. Spatiotemporal Reflectance Fusion via Sparse Representation (IEEE Transactions on Geoscience and Remote Sensing)
  6. A comparison of STARFM and an unmixing-based algorithm for Landsat and MODIS data fusion
  7. Google Earth Engine: Planetary-scale geospatial analysis for everyone
  8. Monitoring land cover change in urban and peri-urban areas using dense time stacks of Landsat satellite data and a data mining approach
  9. Spatio-temporal fusion for daily Sentinel-2 images
  10. Spatiotemporal image-fusion model for enhancing the temporal resolution of Landsat-8 surface reflectance images using MODIS images

Their papers