Aug 2, 2018 · Abstract Data Types for Spatio-Temporal Remote Sensing Analysis (Short Paper). Authors Martin Sudmanns · ORCID-Logo , Stefan Lang · ORCID-Logo ...
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Five different abstract data types are identified to describe geographical phenomenon, either directly or in combination: coverage, time series, trajectory, ...
This work is revisiting an approach based on the space, time and theme dimensions of remotely sensed data, and extending it with a more differentiated ...
Aug 19, 2018 · PDF | data types are a helpful framework to formalise analyses and make them more transparent , reproducible and comprehensible.
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Five different abstract data types are identified to describe geographical phenomenon, either directly or in combination: coverage, time series, trajectory, ...
This article aims at providing both temporal and spatial analysis of SITS. We propose first segmenting each image of the series, and then using these ...
The Special Issue aims to examine a complex temporal component of the geospatial approaches to the data that come from various sensors and data sources.
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Spatiotemporal exploratory data analysis is a methodological approach to detect and describe patterns, trends, and relations in data in both space and time.
This paper explores a new approach to modeling space and time to provide the basis for implementing a temporal GIS. This approach is based on the concept of ...
Sep 24, 2021 · Valid statistical tests that have been used in remote sensing include a modified seasonal Kendall test that accounts for temporal ...