scholarly journals Land area increase in Ukrainian part of the Danube delta

Author(s):  
V. M. Starodubtsev ◽  
◽  
M. M. Ladyka ◽  

The quantitative indicators of land growth in the Ukrainian part of the Danube delta are considered. Comparison of Landsat satellite images in three key areas of the delta showed that for the period 1975-2020 the area of wetlands at the mouth of the Сhilia channel increased by 1448 hectares due to the accumulation of sediments between the Starostambul and Limba branches and their overgrowth with vegetation. In the area of the Bystroe channel, the area of new lands increased by 1037 hectares due to the artificial deepening of this channel for the Ukrainian ships passage into the Danube River and the deposition of sediments along the coast. A slightly smaller increase in land cover (797 ha) was found in the northern part of the coast of the Ukrainian part of the delta, where saline and carbonate soils are formed. In the future, active land growth is expected in the Musura bay between the mouths of the Starostambul and Sulina branches, ie at the contact of Ukraine and Romania. Some changes in these parameters are expected after a powerful flood in 2021, which will become known after the establishment of a relative equilibrium between the processes of accumulation and erosion after this extreme event.

2009 ◽  
Vol 113 (5) ◽  
pp. 957-964 ◽  
Author(s):  
Jan Knorn ◽  
Andreas Rabe ◽  
Volker C. Radeloff ◽  
Tobias Kuemmerle ◽  
Jacek Kozak ◽  
...  

Oryx ◽  
2005 ◽  
Vol 39 (1) ◽  
pp. 44-49 ◽  
Author(s):  
Luca Borghesio ◽  
Fabio Giannetti

The Ethiopian bush crow Zavattariornis stresemanni is one of the most remarkable ornithological discoveries of the 20th century. It is restricted to an area of c. 5,000 km2 in southern Ethiopia, and a large part of its range is protected inside Yabello Wildlife Sanctuary. We report on the results of roadside counts carried out in 1989, 1995 and 2003 showing that the population of the species has decreased by 80% during this time. By comparing two Landsat satellite images from 1986 and 2002, we highlight land cover trends within the range of the species. These include a general increase in bush density, probably related to increasing grazing pressure by domestic animals, fire suppression (only in the Sanctuary) and the disappearance of wild herbivores. Land cover trends differed between the Sanctuary and the area outside, where open areas expanded, apparently indicating an increase in agricultural exploitation. Satellite images also showed that, within its range, the bush crow selects areas having relatively open terrain. Our data suggest that the population decrease within the Sanctuary could be due to the encroachment of open savannah by dense bush and that, therefore, the Sanctuary has failed to protect the bush crow. More research is urgently needed to evaluate its conservation status outside the Sanctuary and the impact of human activities on the species.


2020 ◽  
Vol 8 (6) ◽  
pp. 5119-5125

Urban growth of Chennai district is exponential and heading towards extreme urbanisation. Hence this necessitates the study of urban growth in Chennai district. The recent advancement in Remote sensing and GIS has an excellent ability to derive various data from the satellite images obtained .This helps us to map, monitor and picturise various aspects of development with respect to their demands. The basic principle of remote sensing is followed as the methodology. By following the methodology correctly and by proper processing of the data acquired from the satellite images, the exact requirements of information can be obtained. The Change in the urban growth of the Chennai district for three decades from 1989 to 2019 have been found by using remote sensing and GIS techniques. The satellite images of various years are obtained from Landsat satellite from the USGS Earth Explorer .The Land use characteristics of Chennai district of each year can be obtained by preparing the land use land cover map of Chennai district by the use of landsat satellite images. The two software namely ArcGIS and ERDAS Imagine are used to create the Land use land cover map. From the Land use land cover map of Chennai district, the change detection and statistical analysis of three decades are done and these analysis clearly shows that the urban growth of Chennai district is constantly increasing and there is a huge decrease in other natural features such as vegetation, water body and barren land. By performing urban trend analysis the urban growth of Chennai district for the upcoming years are predicted to prove the urban agglomeration in Chennai district.


2012 ◽  
Vol 34 (2) ◽  
pp. 19-32 ◽  
Author(s):  
Jarosław Chormański

Abstract The article presents a simulation of urbanization impact on runoff changes in an urbanized catchment. Application of a distributed hydrological WetSpa model enabled comprehensive use of Landsat satellite images as a source of data about contemporary and historical land cover in the catchment. The analyses conducted for the Biała river catchment, with over 60% of the area being urbanized, revealed a significant influence of changes in the size of urbanized area on runoff hydrograph.


2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Mehmet Ali Çelik ◽  
Ali Ekber Gülersoy

<p>Today, the Earth’s land pattern can be examined by the detectors on satellite sensors periodically and the variations on these patterns can be detected in a short while. Monitoring of land cover changes and planning these lands effectively are the important issues for economic and ecological sustainability. In this study, the land cover changes of Suruç, Akcakale, Ceylanpinar and Harran plains have been investigated between 1985 and 2016. Accordingly, we utilized Landsat satellite images for three different dates of their summer recordings. Satellite images were classified by the segmentation process and supervised classification through Maximum Likelihood technique. The land use maps obtained from the analysis consist of four classes: dry farming, irrigated farming, grassland and settlement. In addition, accuracy assessment has been implemented on each classified map in order to assess the degree of robustness of our analysis. According to our results, we obtain 85% of overall accuracy where the Kappa value is about 80%. Our results show that significant changes occurred in the land cover of southern plains of Sanliurfa. These changes occurred in the form of transforming dry farming areas to irrigated farming areas in Akcakale and Ceylanpinar whereas irrigated farming were transforming to dry farming in Suruc, during the period of 1985 to 2016. </p>


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