Next Article in Journal
Modeling the Distribution of Human Mobility Metrics with Online Car-Hailing Data—An Empirical Study in Xi’an, China
Previous Article in Journal
Design Verification of an Optimized Wayfinding Map in a Station
Article

TATSSI: A Free and Open-Source Platform for Analyzing Earth Observation Products with Quality Data Assessment

1
Dirección de Cátedras at the National Council of Science and Technology (CONACyT), Avenida Insurgentes Sur 1582, Crédito Constructor, Benito Juárez, Mexico City 03940, Mexico
2
National Commission for the Knowledge and Use of Biodiversity (CONABIO), Liga Periférico-Insurgentes Sur 4903, Parques del Pedregal, Tlalpan, Mexico City 14010, Mexico
3
Assimila, Ltd., Reading Enterprise Centre, University of Reading, Earley Gate, Reading RG6 6BU, UK
*
Author to whom correspondence should be addressed.
Academic Editor: Wolfgang Kainz
ISPRS Int. J. Geo-Inf. 2021, 10(4), 267; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10040267
Received: 5 February 2021 / Revised: 6 April 2021 / Accepted: 12 April 2021 / Published: 16 April 2021
Earth observation (EO) data play a crucial role in monitoring ecosystems and environmental processes. Time series of satellite data are essential for long-term studies in this context. Working with large volumes of satellite data, however, can still be a challenge, as the computational environment with respect to storage, processing and data handling can be demanding, which sometimes can be perceived as a barrier when using EO data for scientific purposes. In particular, open-source developments which comprise all components of EO data handling and analysis are still scarce. To overcome this difficulty, we present Tools for Analyzing Time Series of Satellite Imagery (TATSSI), an open-source platform written in Python that provides routines for downloading, generating, gap-filling, smoothing, analyzing and exporting EO time series. Since TATSSI integrates quality assessment and quality control flags when generating time series, data quality analysis is the backbone of any analysis made with the platform. We discuss TATSSI’s 3-layered architecture (data handling, engine and three application programming interfaces (API)); by allowing three APIs (a native graphical user interface, some Jupyter Notebooks and the Python command line) this development is exceptionally user-friendly. Furthermore, to demonstrate the application potential of TATSSI, we evaluated MODIS time series data for three case studies (irrigation area changes, evaluation of moisture dynamics in a wetland ecosystem and vegetation monitoring in a burned area) in different geographical regions of Mexico. Our analyses were based on methods such as the spatio-temporal distribution of maxima over time, statistical trend analysis and change-point decomposition, all of which were implemented in TATSSI. Our results are consistent with other scientific studies and results in these areas and with related in-situ data. View Full-Text
Keywords: Landsat; MODIS; Python software; quality data assessment; satellite imagery; time series; VIIRS Landsat; MODIS; Python software; quality data assessment; satellite imagery; time series; VIIRS
Show Figures

Figure 1

MDPI and ACS Style

Tecuapetla-Gómez, I.; López-Saldaña, G.; Cruz-López, M.I.; Ressl, R. TATSSI: A Free and Open-Source Platform for Analyzing Earth Observation Products with Quality Data Assessment. ISPRS Int. J. Geo-Inf. 2021, 10, 267. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10040267

AMA Style

Tecuapetla-Gómez I, López-Saldaña G, Cruz-López MI, Ressl R. TATSSI: A Free and Open-Source Platform for Analyzing Earth Observation Products with Quality Data Assessment. ISPRS International Journal of Geo-Information. 2021; 10(4):267. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10040267

Chicago/Turabian Style

Tecuapetla-Gómez, Inder; López-Saldaña, Gerardo; Cruz-López, María I.; Ressl, Rainer. 2021. "TATSSI: A Free and Open-Source Platform for Analyzing Earth Observation Products with Quality Data Assessment" ISPRS Int. J. Geo-Inf. 10, no. 4: 267. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10040267

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop