Compilation and Validation of SAR and Optical Data Products for a Complete and Global Map of Inland/Ocean Water Tailored to the Climate Modeling Community

Remote Sensing

Carsten Brockmann¹  Jan Wevers¹  Pierre Defourny²  Sophie Bontemps²  Raphaël d’Andrimont²  Céline Lamarche²  Julien Radoux²  Olivier Arino³  Maurizio Santoro⁴  Laura Giustarini⁵ 

[1] Brockmann-Consult GmbH, Max-Planck Str. 2, 21502 Geesthacht, Germany;Earth and Life Institute—Environment, Université catholique de Louvain, Croix du Sud 2, 1348 Louvain-la-Neuve, Belgium;European Space Agency, 00044 Frascati, Italy;GAMMA Remote Sensing AG, 3073 Gümligen, Switzerland;Luxembourg Institute of Science and Technology, 5 Avenue des Hauts-Fourneaux, L-4362 Esch/Alzette, Luxembourg;

关键词: water;    global;    complete;    compilation;    accuracy;    validation;    stratified random sampling;    marginal class;    Climate Change Initiative;    climate modeling community;   

DOI  :  10.3390/rs9010036

来源: DOAJ

【 摘 要 】

Accurate maps of surface water extent are of paramount importance for water management, satellite data processing and climate modeling. Several maps of water bodies based on remote sensing data have been released during the last decade. Nonetheless, none has a truly (90 ∘N/90 ∘S) global coverage while being thoroughly validated. This paper describes a global, spatially-complete (void-free) and accurate mask of inland/ocean water for the 2000–2012 period, built in the framework of the European Space Agency (ESA) Climate Change Initiative (CCI). This map results from the synergistic combination of multiple individual SAR and optical water body and auxiliary datasets. A key aspect of this work is the original and rigorous stratified random sampling designed for the quality assessment of binary classifications where one class is marginally distributed. Input and consolidated products were assessed qualitatively and quantitatively against a reference validation database of 2110 samples spread throughout the globe. Using all samples, overall accuracy was always very high among all products, between 98 % and 100 %. The CCI global map of open water bodies provided the best water class representation (F-score of 89 %) compared to its constitutive inputs. When focusing on the challenging areas for water bodies’ mapping, such as shorelines, lakes and river banks, all products yielded substantially lower accuracy figures with overall accuracies ranging between 74 % and 89 %. The inland water area of the CCI global map of open water bodies was estimated to be 3.17 million km 2 ± 0.24 million km 2. The dataset is freely available through the ESA CCI Land Cover viewer.

【 授权许可】

Unknown