Satellite signal is impacted by not just our variable of interested, but by other variables also. This unwanted impact of other variables – apart from instrument error – introduces uncertainty in the retrieved variable(s).
Validation is the process of quantifying errors in the retrieved variable(s) and if possible identifying the sources of uncertainty.
Our team has experience in quantifying and modelling the uncertainty associated with retrieved variable(s).
Collection of ground truth for a specific variable can be a major challenge for the organizations that do not have relevant experience. Our team have experience in collection of data truth for various variables e.g. soil moisture, groundwater levels, crop height, biomass, etc.

Related News

1. Publication: A Spatio-Temporal Algorithm for Merging Soil Moisture from Active and Passive Microwave Remote Sensing (1/20/2017) by Dr. Yukti Gill - Currently the soil moisture is available either at coarse spatial scale from passive microwave remote sensing or at infrequent repeat time from […]
2. Publication: High Resolution Land Surface Geophysical Parameters Estimation from ALOS PALSAR data (1/16/2017) by admin - A satellite-only algorithm (which does not need ancillary data on soil surface roughness and vegetation) to retrieve soil moisture is tested over […]