Urban green spaces analysis for development planning in Colombo, Sri Lanka, utilizing THEOS satellite imagery – A remote sensing and GIS approach

2013 ◽  
Vol 12 (3) ◽  
pp. 307-314 ◽  
Author(s):  
I.P. Senanayake ◽  
W.D.D.P. Welivitiya ◽  
P.M. Nadeeka
2021 ◽  
Vol 4 (2) ◽  
pp. 31-34
Author(s):  
Ekaterina A. Vasil'eva

The article describes the role of remote sensing technologies in monitoring urban green spaces. The positive aspects of the use of air laser scanning in the inventory and monitoring of urban green spaces are listed. The role of urban green spaces in the formation of an environmentally friendly urban environment is briefly described. Insufficient elaboration of the regulatory and legal documentation in the field of registration of urban green spaces in the Unified State Register of Real Estate Objects was noted. It is emphasized that the lack of approaches to the consideration of urban green spaces as independent cadastral objects entails numerous violations in the field of environmental and environmental legislation of settlements. A solution to this problem is proposed, which consists in the mandatory accounting of cadastral data on the land plot under the urban green spaces when maintaining the urban green spaces monitoring database.


2021 ◽  
Vol 12 (2) ◽  
pp. 83-92
Author(s):  
Aigul SERGEYEVA ◽  
Altynbek KHAMIT ◽  
Asima КOSHIM ◽  
Murat MAKHAMBETOV

The rapid pace of urban development triggers complex problems mostly related to urban environment pollution, and shortcomings of city’s improvement. The modern city is characterized by the highest man-made pressure on the natural environment, the main problems being overcrowding, lack of open-access green areas, as well as the decrease of vegetation areas, fact that does not create comfortable living conditions for urban residents. At present, remote sensing methods are some of the priority tools used in vegetation state assessment, particularly, the calculation of vegetation index (NDVI). But often, obtaining the necessary information is limited only to the analysis of satellite data, without geobotanical field surveys, which considerably increase the reliability of the detected results. In addition, the definition of dependencies when using an integrated approach of different man-affected surfaces with a different type of overgrowth within the city remains insufficiently studied. The purpose of this study is to assess the ecological condition of the green area (parks and squares) in Aktobe city. A comprehensive processing of satellite images including the calculation of NDVI index, mapping of green areas and data statistical analysis, was carried out. We learned that the average value of NDVI for green spaces in Aktobe ranges from 0,11 µm to 0,47 µm, which allows for the categorization of planted areas by levels of photosynthetic activity, from “unsatisfactory” to “good”, yet, with 59% of them in an unsatisfactory condition. This means that the city is underdeveloped in terms of modern landscape and infrastructure. The obtained results make it possible to assess the current situation, determine the dynamics of urban green spaces and optimize spatial planning measures for green space management.


Land ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 453
Author(s):  
Marcin Feltynowski ◽  
Jakub Kronenberg

Urban green spaces are frequently presented as being important for urban quality of life and urban development in general, but more detailed interpretations and discussions are typically confined to large urban centers, the so-called first- and second-tier cities. Not enough attention has been paid to smaller urban units, the third-tier towns. The main goal of this article is to investigate the share and types of urban green spaces in five selected towns in Poland. We compare different sources of data based on satellite imagery and land-use maps with those used in public statistics, to check whether town authorities are managing all potential green spaces or only a selected part of them. We find that the predominantly used data, based on what is classified as “urban green space” for the purposes of public statistics, obscure the complexity of urban green spaces and focus on the narrowly understood formally managed public green spaces (which occupy 3.5–5.7% of town areas). Meanwhile, based on other sources, such as the national land-use map (BDOT10k), Urban Atlas, and satellite imagery (Landsat 8), what is considered to be green space turns out to cover 50–80% of the town area. The latter large numbers are associated with the predominance of arable land, grasslands, and forests, overlooked in any green space management practices based on data and definitions adopted for the purposes of public statistics. The situation found in our five case study towns resembles that identified in larger cities in Poland, and it exhibits the inadequacy of public statistics definitions and the related management practices, hindering the management of urban green spaces as an interconnected system of urban green infrastructures.


2021 ◽  
Vol 57 ◽  
pp. 126946
Author(s):  
Amir Reza Shahtahmassebi ◽  
Chenlu Li ◽  
Yifan Fan ◽  
Yani Wu ◽  
Yue lin ◽  
...  

2021 ◽  
Vol 693 (1) ◽  
pp. 012119
Author(s):  
Babar Khan ◽  
Shuwen Yang ◽  
Weili Hong ◽  
Heng Yan

2017 ◽  
Vol 10 (2) ◽  
pp. 254-262
Author(s):  
Mathias Tesfaye Abebe ◽  
Tebarek Lika Megento

The unprecedented rate of urban growth in developing countries causes various problems such as deficiency in public infrastructure services, lack of green spaces and inadequate service provisions. This study applies GIS tools and remote sensing techniques to assess the effects of urban development on urban green space in Ethiopia’s capital. Spatial and non-spatial datasets were collected from different organizations and processed using GIS tools and remote sensing techniques for land use/ land cover classification and analysis. The analysis demonstrated shrinking of urban green spaces- plantations, forestland, grassland and cultivated land (at annual rates of 5.9%, 3.3%, 5.4% and 3.7 % respectively) by 82.1%, 62.1%, 78.8 and 65.8 % respectively during the past three decades (1986-2015) whereas built-up and transport areas increased at annual rate of 5.7% and 1.3% and consumed 419% and 47% of the city’s total area respectively.


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