Sentence examples for thematic classes from inspiring English sources

Accuracy assessment is particularly problematic when thematic classes lie along a land-cover continuum, and boundaries between classes are ambiguous.

Of these, three thematic classes—"Policy and Governance", "Biodiversity and Endangered Species" and "Protection and Conservation"—accounted for the largest number of questions.

Five meaningful thematic classes have been established grouping spectral classes obtained from unsupervised classification together with the visual interpretation of the original bands, the IHS transformation and the principal component analysis.

The thematic classes of Evergreen broadleaf trees, Snow and Ice, and Barren show high producer and user accuracy and good agreement among the datasets, while classes of mixed tree types show high commission errors.

A comparative analysis of the results of this study with those from similar studies in other regions brought out interesting regional differences in the thematic classes of questions that were emphasized and suggest that local context plays a large role in determining emergent themes.

3160 "raw" questions generated by the survey were iteratively processed by a group of ecologists, environmental and conservation scientists to produce the primary result of this study: a summarized list of 152 priority questions for the conservation of India's biodiversity and ecosystems, which range across 17 broad thematic classes.

It involves determining the number of pixels allocated to a specific thematic class and multiplying it by the pixel area.

Geographic information is traditionally represented by a one-entity one-class methone-entity one-classch geone-entity one-class the methodn be unassumingsly assigned that singleachematic class.

This thesis is devoted to the investigation of two morphological classes in Tocharian and their Indo-European prehistory and affiliation: 1) the continuants of Proto-Indo-European (PIE) thematic ("class I") adjectives, and 2) a class of agent formations related to them.

These thematic class areas are then multiplied by the assigned values to estimate total carbon stock values.

Afterward, time series images were classified by using a mix of unsupervised and supervised image classification techniques with aid of ground truthing points collected from field using GPS, topo map, and Google Earth for signature generation and thematic class grouping.