Asmae Zbiri, Azeddine Hachmi, Fatima Ezzahrae El Alaoui-Faris, Dominique Haesen
We studied the effectiveness of the lcviewer data to detect change of land at regional scale. In this article, we propose theoretical hypothesis that ecological modeling can be available with global land cover viewer data in a larger scale (for any place in the world). The study uses the Copernicus land cover viewer version 3 to detect land change in Taza – Al Hoceima - Taounate located in the Moroccan middle atlas. We compare statistical data from five consecutive years from 2015 to 2019. The visualization interface gives percentages of the classes Forests, Shrubland, Herbaceous vegetation, Bare / sparse vegetation, Cropland, Built- up, Permanent water bodies. Globally, lcviewer display all informations of land use. The systematic monitoring at global scale that reliably and routinely providing near real time bio-geophysical parameters at global scale, based on low-to-medium spatial resolution sensors and including the consitution of long term, consistent time series. Statistical report can be downloading to make easy monitoring of areas. The detection of similarities and differences of land cover classifications is strongly expressed by lcviewer report. Values of percent or area expriment by (% or km²) show quality and validation of lcviewer to facilitate their use in land monitoring in these areas.
Land cover viewer, Copernicus, Monitoring land project
Cite this paper
Asmae Zbiri, Azeddine Hachmi, Fatima Ezzahrae El Alaoui-Faris, Dominique Haesen. (2022) Visualization of Land Cover Viewer Statistics From Copernicus to Monitoring Small Smart Land Project. International Journal of Environmental Science, 7, 28-36