TY  - JOUR
A1  - Mayr, Stefan
A1  - Kuenzer, Claudia
A1  - Gessner, Ursula
A1  - Klein, Igor
A1  - Rutzinger, Martin
T1  - Validation of earth observation time-series: a review for large-area and temporally dense land surface products
T2  - Remote Sensing
N2  - Large-area remote sensing time-series offer unique features for the extensive investigation of our environment. Since various error sources in the acquisition chain of datasets exist, only properly validated results can be of value for research and downstream decision processes. This review presents an overview of validation approaches concerning temporally dense time-series of land surface geo-information products that cover the continental to global scale. Categorization according to utilized validation data revealed that product intercomparisons and comparison to reference data are the conventional validation methods. The reviewed studies are mainly based on optical sensors and orientated towards global coverage, with vegetation-related variables as the focus. Trends indicate an increase in remote sensing-based studies that feature long-term datasets of land surface variables. The hereby corresponding validation efforts show only minor methodological diversification in the past two decades. To sustain comprehensive and standardized validation efforts, the provision of spatiotemporally dense validation data in order to estimate actual differences between measurement and the true state has to be maintained. The promotion of novel approaches can, on the other hand, prove beneficial for various downstream applications, although typically only theoretical uncertainties are provided.
KW  - accuracy
KW  - error estimation
KW  - global
KW  - intercomparison
KW  - remote sensing
KW  - uncertainty
Y1  - 2019
UR  - https://opus.bibliothek.uni-wuerzburg.de/frontdoor/index/index/docId/19320
UR  - https://nbn-resolving.org/urn:nbn:de:bvb:20-opus-193202
SN  - 2072-4292
VL  - 11
IS  - 22
ER  -