4 Classifying the Forest Surfaces in Metropolitan Areas …
57
(a)
(b)
(c)
Fig. 4.2 Data transferring from UA land cover (a) to extracted forest surfaces (b), and to Reference
points cloud (c)
At the final phase, two main maps representing the spatial distribution of WIPI
and WSCI values are produced. Beyond the visual spatial distribution, the WIPI and
WSCI values are represented and discussed via their histogram charts showing the
frequency distribution of indexing values.
4.3.1 Multi-criteria Inventory for Measuring Exposure
and Vulnerability of Forest Surfaces Toward Wildfires
First, the forest surfaces are identified based on UA evidence and are translated into
regular points grid (100 m), where each point represents an area of 1 ha (Fig. 4.2c).
Initially, there are 61,478 points generated from the regular grid that overlap with the
forest surfaces within Durana region. The points that could not be loaded the value
of at least one criterion are excluded from further processing.
The lack of some values is related to the non-total spatial coverage of environmental data which have been acquired for free in raster format.
1 Thus, according
to the attribute table of the final layer of reference points, there are 58,294 points
that have values for all criteria and are finally introduced into the process of WIPI
and WSCI indexing. While 3,184 points (about 5% of the total) are excluded from
further processing.
The remaining points are loaded unique values regarding each criterion in separate
point shapefile layers via NNjoin plugin in QGIS (distance to urban centers, settlement, main roads, any road, agricultural areas, and water sources). The shapefiles
are converted into raster data. The remaining criteria (altitude, aspect, slope from
DEM file, solar radiation, maximum temperature, precipitation, and wind speed) are
already acquired as raster completing the full set of 13 criteria in raster format.
Then, their values are collected into a single reference point via point sampling
tool plugin. According to the attribute table of the final reference point layer, the
absolute values of different criteria are diverse in range due to the variety in units as
represented by the histogram in Fig. 4.3. In Fig. 4.3a, the full histogram map of all
1 Source: http://surfobs.climate.copernicus.eu.
57
(a)
(b)
(c)
Fig. 4.2 Data transferring from UA land cover (a) to extracted forest surfaces (b), and to Reference
points cloud (c)
At the final phase, two main maps representing the spatial distribution of WIPI
and WSCI values are produced. Beyond the visual spatial distribution, the WIPI and
WSCI values are represented and discussed via their histogram charts showing the
frequency distribution of indexing values.
4.3.1 Multi-criteria Inventory for Measuring Exposure
and Vulnerability of Forest Surfaces Toward Wildfires
First, the forest surfaces are identified based on UA evidence and are translated into
regular points grid (100 m), where each point represents an area of 1 ha (Fig. 4.2c).
Initially, there are 61,478 points generated from the regular grid that overlap with the
forest surfaces within Durana region. The points that could not be loaded the value
of at least one criterion are excluded from further processing.
The lack of some values is related to the non-total spatial coverage of environmental data which have been acquired for free in raster format.
1 Thus, according
to the attribute table of the final layer of reference points, there are 58,294 points
that have values for all criteria and are finally introduced into the process of WIPI
and WSCI indexing. While 3,184 points (about 5% of the total) are excluded from
further processing.
The remaining points are loaded unique values regarding each criterion in separate
point shapefile layers via NNjoin plugin in QGIS (distance to urban centers, settlement, main roads, any road, agricultural areas, and water sources). The shapefiles
are converted into raster data. The remaining criteria (altitude, aspect, slope from
DEM file, solar radiation, maximum temperature, precipitation, and wind speed) are
already acquired as raster completing the full set of 13 criteria in raster format.
Then, their values are collected into a single reference point via point sampling
tool plugin. According to the attribute table of the final reference point layer, the
absolute values of different criteria are diverse in range due to the variety in units as
represented by the histogram in Fig. 4.3. In Fig. 4.3a, the full histogram map of all
1 Source: http://surfobs.climate.copernicus.eu.