Train/Test data for object detection of flowers. This dataset contains 500 images of grassland vegetation patches with all visible flowers annotated using bounding boxes. The dataset is divided into a training set of 400 images and a test set of 100 images. ...

Dataset with LUCAS point images and their semantic segmentation masks done with Deeplabv3+ trained on ADE20k dataset

The data set is composed by three hyperspectral data sets: - From USGS spectral measurements (900 spectra) - From simulated reflectance by the ProSail radiative transfer model (20,000 spectra) - From real-world Hyperion observations (10,000 spectra)

This indicator measures the diversity of tourism activity within a destination. The indicator is calculated as the Shannon diversity index of the distribution of tourism accommodation establishments across five geographical zones within a destination: cities, ...

This indicator is an estimate of the total contribution of the tourism activity to employment in a country or region. It represents the net overall effect of tourist arrivals at accommodation establishments along the value chain (direct, indirect, induced and ...

This indicator measures the average economic value generated per night spent at the tourist destination, revealing tourism contribution to the economy of the destination country. The average tourism expenditure was adjusted taking into account the living costs...

This descriptor classifies each tourism destination according to one of the following six tourism typologies: urban (or city tourism), coastal, nature, rural, snowy mountain, and mixed. The classification is first determined at NUTS3 level based on the proport...

This descriptor shows the number of “blue flag” certifications awarded to beaches, marinas and sustainable boating tourism operators. Blue flags are awarded annually for their high quality standards in terms of the water quality, environmental management and i...

This descriptor shows the number of World Heritage Sites designated by UNESCO. To be included in the World Heritage List, sites must be of outstanding value on the basis of cultural and natural criteria. A high number of UNESCO sites indicates the strong prese...

This descriptor measures the share of protected/designated land belonging to the European networks Natura 2000 or Emerald Network in relation to the total area of the country or region. Natura 2000 is the ecological network for the conservation of wild animal ...

This descriptor measures the total number of nights spent at tourist accommodation establishments in a destination (country or region) in a given year, from both domestic and foreign tourists. It provides an account of the absolute dimension of a tourism desti...

This descriptor measures the total number of arrivals at tourist accommodation establishments in a destination (country or region) in a given year, from both domestic and foreign tourists. Higher values indicate higher tourism demand. This descriptor is provid...

This descriptor measures the number of bed-places at tourism accommodation establishments available at a destination (country or region) in a given year. It provides an account of the absolute dimension of a tourism destination from the supply perspective. Hig...

The occupancy rate is the percentage of time within a year that available bed-places within a tourist destination (country of region) are occupied with tourists. It provides an indication of balance between capacity and demand. Low values may signal over capac...

This descriptor measures the average duration of stays at tourist accommodation establishments. It is calculated by dividing the total number of nights spent by the total number of tourist arrivals. Longer lengths of stay can potentially generate higher touris...

Tourism density is defined as the total number of nights spent over a year in a tourist destination (country or region) per square kilometre of land of the tourist destination. Very high values may signal possible crowding and/or environmental pressures. This ...

This descriptor measures the dependence on international markets for tourism demand, revealing exposure to risks related to international travel restrictions and other demand shocks. It is expressed as the share of nights spent by foreign tourists in relation ...

This descriptor measures the degree of fall and recovery of tourism demand after the breakout of the COVID-19 pandemic. It is calculated as the proportion of nights spent in a given year in relation to the equivalent period in 2019 (baseline). A higher value i...

Tourism intensity is calculated by dividing the number of nights spent at tourist accommodations by the resident population. It is an indicator of economic dependence on tourism, potentially revealing overtourism and vulnerability to demand shocks when values ...