A way to store, query, update an InSAR spatiotemporal dataset

A way to store, query, update an InSAR spatiotemporal dataset

Li, Ze (TU Delft Civil Engineering and Geosciences)

Hanssen, Ramon (mentor)
Verhagen, S. (graduation committee)

Delft University of Technology

2020-03-10

In SAR interferometry, the data acquired by satellite are large. The points in the dataset are usually expressed in spatial-temporal dimension in which many epochs may be included. Extra information including contextual values and data from other sources sometimes are important to be taken into account when analyzing the deformation based on the time series. However, this kind of extra information is not supplied in the dataset. Here we show a way to augment the InSAR dataset by updating the new acquisitions, adding contextual values and combining data with other sources. We create an enriched dataset which provides one more knowledge on the points in the dataset, such that more accurate analysis and decision can be made. Also, a way to query a certain bunch of points with the same feature category is descripted, which allows one to find the points of interest based on their features. Our result provides a way to utilize multiple data sources and to combine them into an InSAR dataset in order to make the dataset be more efficiently used. The way depicted in this paper might be a hint of how to do a more accurate and comprehensive analysis based on a dataset. Furthermore, an automatic or semiautomatic way to modify the dataset with some tools are helpful.

InSAR
database
points
feature category
query
update
Python

http://resolver.tudelft.nl/uuid:4b20997a-1613-4449-8bf4-96fa6a4d93ee

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© 2020 Ze Li