Digital book in Spanish language intended to be used as an entry point to the Copernicus Programme for the Spanish speaking community, with information about the programme itself, the space component focusing in the Sentinels 1 and 2, the Land Monitoring Service and the in-situ component. The book also contains a brief introduction about the use of Earth Observation and geospatial information for the Sustainable Development Goals.
For a more efficient use of Earth Observation technologies by the Walloon public sector for the citizens of the digital Wallonia of tomorrow.
For a more efficient use of Earth Observation technologies by the Walloon public sector for the citizens of the digital Wallonia of tomorrow. Vers une utilisation renforcée des technologies d'Observation de la Terre par les services publics wallons au bénéfice des citoyens dans la Wallonie digitale de demain.
Selecting Relevant Biological Variables Derived from Sentinel-2 Data for Mapping Changes from Grassland to Arable Land Using Random Forest Classifier2 MB
Permanent grassland is one of the monitored categories of land use, land use change, and forestry (LULUCF) within the climate concept and greenhouse gas reduction policy (Regulation (EU) 2018/841). Mapping the conditions and changes of permanent grasslands is thus very important. The need for monitoring permanent grassland and arable land has been growing in recent years. New subsidy policies determining farm management are beginning to affect land use, especially in countries that have joined the EU in recent waves. The large amount of freely available satellite data enables this monitoring to take place, mainly owing to data products of the Copernicus program - Sentinel data.
In this article, the detection of forest vegetation changes during the period of 2017 to 2019 was investigated in the Low Tatras National Park (Slovakia) and the Sumava National Park (Czechia) using Sentinel-2 data. The Copernicus program and its data from Sentinel missions have evoked new opportunities in the application of satellite data. The usage of Sentinel-2 data in the research of long-term forest vegetation changes has a high relevance and perspective due to the free availability, distribution, and well-designed spectral, temporal, and spatial resolution of the Sentinel-2 data for monitoring forest ecosystems.
Land Use/Land Cover Data of the Urban Atlas and the Cadastre of Real Estate: An Evaluation Study in the Prague Metropolitan Region4 MB
The fastest growing landscape areas are urban regions in Europe. Therefore, it is important to have accurate and relevant information about the status and changes in Land Use/Land Cover in these dynamically developing areas. An important Land Use/Land Cover database oriented in the urban areas has been produced within the Copernicus programme. It is called the Urban Atlas (UA). This study has confirmed a high relevancy of this Copernicus data for a monitoring the urban areas.
Evaluation of the Influence of Disturbances on Forest Vegetation Using the Landsat Time Series, a Case Study of the Low Tatras National Parkk8 MB
Earth observation provides unique information for the purpose of observing dynamic phenomena occurring on the surface of the Earth, especially for evaluating the changes in the forest vegetation. Although Landsat data allows us to remotely observe the Earth for the past 47 years (since 1972), perspectives can be seen in the data of Sentinel-2 produced by Copernicus. The advantage of the Sentinel-2 data is the higher spatial resolution (10 m for VIS/NIR and 20 m for NIR and SWIR bands) and the higher temporal resolution. Such a high temporal and spatial resolution enables advanced information about dynamic changes in the forest under climate changes.