Published May 2, 2022 | Version v1
Dataset Open

Data for Li et al., Coupling remote sensing and particle tracking to estimate trajectories in large water bodies, International Journal of Applied Earth Observation and Geoinformation, 2022

Creators

  • 1. EPFL
  • 2. Eawag
  • 3. EPFL / Eawag

Description

This data set contains four parts:

1) compressed folder with input parameters and results for the hydrodynamic model

2) compressed folder with input parameters and results for the particle tracking

3) compressed folder with satellite data 

4) code used in the article for hydrodynamic model, particle tracking and image processing

Each folder contains a readme file,

Files

Hydrodynamics.zip

Files (188.7 MB)

Name Size Download all
md5:856f5173ddf1e57a0a386de818fbf97c
30.3 MB Preview Download
md5:9ef653f34c821503f0383f2559a547d2
124.5 MB Preview Download
md5:9740c0ed3617838ad60f135d5b9a9411
9.2 kB Preview Download
md5:134e68a1461fa098448cc6801c353a59
33.9 MB Preview Download

Additional details

Related works

Is supplement to
Journal article: 10.1016/j.jag.2022.102809 (DOI)

Funding

Extra-host dynamics of Enterovirus and associated risks of waterborne disease 31003A_182468
Swiss National Science Foundation