MaiL MOOC | Qgis Example | 11/36 | UPV

Описание: Título: MaiL MOOC | Qgis Example

Descripción: Delineate urban areas using the proposed methodology of the MAIL project.
Facilitator: Maria Tassopoulou

Descripción automática: In this video, the presenter outlines a process for delineating urban areas based on the methodology proposed by a project, using a land cover dataset and a high-resolution layer. The Sentinel-2 Global Land Cover product is excluded from the analysis due to its less accurate representation of urban areas. The methodology is demonstrated using a case study of a suburban forest area in a city, where potential marginal lands are identified.

The video provides a step-by-step guide on preparing the datasets and defining the area of interest (AOI) within QGIS, including creating a new shapefile and adding it to the map. Next, it explains how to import and adjust the symbology of the land cover dataset as well as how to add and clip the high-resolution layer to match the AOI.

The video proceeds to detail the process of extracting urban areas from the datasets by using various QGIS tools for clipping, extracting attributes, and raster calculations. For the land cover dataset, urban areas are identified by certain class values, excluding mineral extraction and dump sites. The high-resolution layer is processed to distinguish impervious urban areas with more than 30% soil sealing.

Finally, the presenter demonstrates how to combine the urban area data from both sources into one raster layer by converting the land cover dataset into a binary raster image, reclassifying it, and then using a Boolean OR function to integrate with the imperviousness data. The resultant layer represents urban-impervious areas and serves as a baseline for identifying marginal lands according to the project methodology. The viewer is thanked for their attention at the conclusion of the comprehensive tutorial.

Autor/a: CARBONELL RIVERA JUAN PEDRO

Curso: Este vídeo es el 11/36 del curso MOOC Marginal Lands.    • MOOC Marginal Lands  
Inscríbete en: https://upvx.es/courses/course-v1:Ing...


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