Green spaces are playing an essential role for ecological balance and for human health in the city as well.
They play a fundamental role in providing opportunities for relaxation and enjoying the beauty of nature
for the urban population. Therefore, it is important to produce detailed vegetation maps to assist planners
in designing str
for climate change adaptation in one fast growing city. Hence, this research is an investigation using 0.5
m high-resolution multispectral Pléiades data integrated with GIS data and techniques to detect and
evaluate the spatial distribution of vegetation cover in Erbil City. A supervised classification was used
to classify different land cover types, and a normalised difference vegetation index (NDVI) was used
to retrieve it for the city districts. Moreover, to evaluate the accessibility of green space based on their
distance and size, a buffer zone criterion was used. The results indicate that the built-up land coverage
is 69% and vegetation land cover is 14%. Regarding NDVI results, the spatial distribution of vegetation
cover was various and, in general, the lowest NDVI values were found in the districts located in the city
centre. On the other hand, the spatial distribution of vegetation land cover regarding the city districts was
non-equal and non-concentric. The newly built districts and the districts far from the Central Business
District (CBD) recorded the lowest vegetation cover compared with the older constructed districts.
Furthermore, most of the districts have a lack of access to green spaces based on their distance and size.
Distance and accessibility of green areas throughout the city are not equally distributed. The majority of
the city districts have access to green areas within radius buffer of two kilometres, whereas the lowest
accessibility observed for those districts located in the northeast of the city in particular (Xanzad,
Brayate, Setaqan and Raperin). Our study is one of the first investigations of decision-making support
of the spatial planning in a fast-growing city in Iraq and will have a utilitarian impact on development
processes and local and regional planning for Erbil City in the future.
The remote sensing techniques provide a great possibility to analyze the environmental processes in
local or global scale. Landsat images with their 30 m resolution are suitable among others for land
cover mapping and change monitoring. In this study three spectral indices (NDVI, NDWI, MNDWI) were
investigated from the aspect of land c
(V); grassland (GL) and built-up areas (BU) using Landsat-7 ETM+ data. The range, the dissimilarities
and the correlation of spectral indices were examined. In BU – GL – F categories similar NDVI values
were calculated, but the other land cover types differed significantly. The water related indices (NDWI,
MNDWI) were more effective (especially the MNDWI) to enhance water features, but the values of other
categories ranged from narrower interval. Weak correlation were found among the indices due to the
differences caused by the water land cover class. Statistically, most land cover types differed from each
other, but in several cases similarities can be found when delineating vegetation with various water
content. MNDWI was found as the most effective in highlighting water bodies.
The Sundarbans in Bangladesh and India is the largest single block of tidal halophytic mangrove forest in the world. This forest is threatened by effect of climate change and manmade activities. The aim of this paper is to show changes in vegetation cover of Sundarbans since 1975 using Landsat imagery. Normalized Difference Vegetation Index is...applied to quantify and qualify density of vegetation on a patch of land. Estimated land area (excluded water body) of this forest is 66% in Bangladesh, and 34% in India, respectively. Net erosion since 1975 to 2006 is ~5.9%. In vicinity of human settlement, areal changes are not observed since 1975. The mangrove forest is decreased by 19.3% due severe tropical cyclone in 1977 and 1988. Moreover, the dense forest is damaged by about 50%. However, more than 25 years is taken by Sundarbans to recover from damage by a severe tropical cyclone. The biodiversity of Sundarbans depends to fresh water flow through it. Therefore, the future of Sundarbans depends to the impact of climate change which has further effect to increasing intensity and frequency of severe tropical cyclone and salinity in water channels in Sundarbans.
Floods slowing down due to the significant decrease of the gradient have considerable sediment accumulation capacity in the floodplain. The grade of accumulation is further increased if the width of the floodplain is not uniform as water flowing out of the narrow sections diverge and its speed is decreased. Surface roughness in a study area of...492 hectares in the Upper Tisza region was analysed based on CIR (color-infrared) orthophotos from 2007. An NDVI index layer was created first on which object-based image segmentation and threshold-based image classification were performed. The study area is dominated by land cover / land use types (grassland-shrubs, forest) with high roughness values. It was concluded that vegetation activity based analyses on their own are not enough for determining floodplain roughness.
The purpose of this study is to evaluate the potential of restoration of a stream section. The starting point of the multiple-step assessment process was a historical analysis, which resulted in the definition of different sections within the study area, providing a base for the further restoration goals. The assessment of the current condition...s was elaborated particularly to determine those factors, which could limit restoration. These assessments cover the land use pattern, furthermore the analysis of vegetation and habitat patches. As a result of the historical analysis, it has been found that the stream side habitat patches have decreased significantly despite the constant space available. This change was not caused by the increased area of the settlement, but rather by the higher dominancy of arable forms of land use. The greatest share of wet and mesic meadows and agricultural habitats in the study areas, covering 57.5% of the total area, indicates significant anthropogenic effects. Consequently it can be stated that the reference conditions are not the only determining factors of the restoration possibilities. Restoration style and intensity have been defined on basis of all assessed factors.
In the past few decades there has been an increasing pressure of population all over the world,
especially in India, resulting in the utilization of every available patch of available land from
woodlands to badlands. The study area represents a basin which is economically growing fast by
converting the fallow lands, badlands and woodla
IRS (Indian Remote sensing Satellites) 1 C – LISS III and IRS 1 C PAN and IRS P6 – LISS III and
IRS 1 D PAN Images were merged to generate imageries with resolution matching to the landscape
processes operating in the area. The images of the year 1997, 2000, 2004 and 2007 were analyzed to
detect the changes in the landuse and landcover in the past ten years. The analysis reveals that there
has been 20% increase in the agricultural area over the past ten years. Built up area also has increased
from 1.35% to 6.36% of the area and dense vegetation also has marginally increased. The remarkable
increase in the agricultural area occurs owing to the reclaim of the natural ravines and fallow lands.
Presently the area looks promising, but it is necessary to understand the sedimentological and
geomorphological characteristics of the area before massive invasion on any such landscapes because
the benefit may be short lived.
Generally, mountains determine the characteristics of particular areas, because of the island phenomenon they cause. However, the geological origins of mountains are multiple and they are located in different climatic regions. Nevertheless, in all aspects they reflect the basic elements of the local biologic unit. The shapes, climates, diverse...water resources, biocenoses and the generated soils are the different components that determine, through their dynamic interaction, the “Mountain” ecosystem. Tectonic subduction processes lead to the development of islands such as Martinique, whose basic structure consists of a series of mountains (among them Mount Pele). Like the topographic divisions, the local micro-climates, water courses, different soils (themselves the consequences of the presence of the mountain itself) and successive volcanic eruptions determine, over time, the organization of the diverse vegetal entities.