scholarly journals DETECTION OF GREEN OPEN SPACE USING COMBINATION INDEX OF LANDSAT 8 DATA (CASE STUDY: DKI JAKARTA)

Author(s):  
Sayidah Sulma ◽  
Jalu Tejo Nugroho ◽  
Any Zubaidah ◽  
Hana Listi Fitriana ◽  
Nanik Suryo Haryani

Spatial information about the availability and presence of green open space in urban areas to be up to date and transparent was a necessity. This study explained the technique to get the green open spaces of spatial information quickly using an index approach of Landsat 8. The purpose of this study was to evaluate the ability of the method to detect the green open spaces, especially using Landsat 8 with a combination of several indices, namely Normalized Difference Build-up Index (NDVI), Normalized Difference Water Index (NDWI), Normalized Difference Build-up Index (NDBI) and Normalized Difference Bareness Index (NDBaI) with a study area of Jakarta. This study found that the detection and identification of green open space classes used a combination of index and band gave good results with an accuracy of 81%.

2016 ◽  
Vol 27 (2) ◽  
pp. 119
Author(s):  
Saut Sagala ◽  
Sari Saraswati

Population living in highly densed settlements in urban area is considered vulnerable to earthquake risk due to limited space exists in the area. To reduce population risks to aftershock earthquake in highly dense settlements, this paper applied simple simulation based on supply-demand concepts in order to understand carrying capacity of current open space for people to evacuate. The case study takes place in one of the most densed populated areas in Bandung City under aftershock earthquake.. The research integrates multi-sources of data: sattelite image, building footprint and GPS field survey to produce detailed landuse. The results show that open spaces that exist in the study area is not able to contain all residents when an aftershock occurs. Finally, this paper recommends some strategies that are necessary to reduce the risks in highly densed urban areas.


2017 ◽  
Vol 50 (3) ◽  
pp. 1711 ◽  
Author(s):  
A. Kyriou ◽  
K. Nikolakopoulos

Floods are suddenly and temporary natural disasters, which influence equally important the society and the natural environment, affecting areas that are not normally covered by water. In the context of flood mapping, different remote sensing techniques may contribute in a sufficient and effective way. This paper deals with mapping the spread of water bodies from natural levees of the river Evros and therefore the flood event on the surrounding areas of the river. In this work, radar data from Sentinel-1 mission as well as optical data from Landsat-8 were utilized. Specifically, Sentinel-1 data before flood events were treated with respectively during flood, yielding an image which reflects the propagation of the event. Moreover, Landsat-8 data were acquired with the aim of identifying and mapping of flooded areas, utilizing the Normalized Difference Water Index calculation. The results of the two methods were compared and flooded areas were evaluated. 


Author(s):  
Duong Thi Loi ◽  
Dang Vu Khac ◽  
Dao Ngoc Hung ◽  
Nguyen Thanh Dong ◽  
Dinh Xuan Vinh ◽  
...  

The main purpose of this study is to evaluate the performance of Sentinel - 2A and Landsat 8 data in monitoring coastline change from 1999 to 2018 at Cam Pha city, Quang Ninh province. Both data were collected under similar conditions of time and weather features to minimize the differences in interpretation results caused by these factors. The coastline was extracted from Sentinel-2A and Landsat 8 in 2018 by using the Normalized Difference Water Index (NDWI). Coastline map from Quang Ninh Department of Natural Resources and Environment with a scale of 1: 50.000 in 1999 was used as a reference of the same mask and overlaid on coastline maps in 2018 to identify the changes in the study area. The data from fieldwork and Google Earth was used to evaluate the accuracy and make comparative comments. The results presented that changes dramatically occurred between 1999 and 2018 with the accretion process prevailing. This process took place quite strongly on the East and Southeast coast while the erosion process only occurred with small areas at scattered points in the study area. The results also showed that the overall classification accuracy of Sentinel-2A imagery (95.0%) was slightly higher than that of Landsat-8 (87.5%). The combined use of Landsat-Sentinel-2 imagery is expected to generate reliable data records for continuous detecting of coastline changes.


Author(s):  
F. Guzzetti ◽  
K. L. N. Anyabolu ◽  
L. D’Ambrosio ◽  
G. Marchetti

<p><strong>Abstract.</strong> In urban areas, the “built” is defined by many different elements. Not only buildings but also open spaces containing green areas, viability, urban furniture, underground facilities. While the H-BIM sector focuses, rightly, on buildings of great historical significance, in our case it is been consider a part of the built that it usually not analyse: the urban open space. One of the interesting themes is the possibility of having a single tool that integrates the different objects present in a complex environment such as the urban area. The process with BIM model could allow a huge saving in terms of time and costs considering public tender, maintenance or construction phase of a project. Facility management operating through BIM is another relevant theme considering the whole life of a construction. Finally, another important theme is the connections between elements above the ground (visible elements) and subsoil (not visible elements), not only for the administrations but also if related to the HBIM environment.</p><p>The paper reports the analysis of the experience performed, particularly related to questions about detail and accuracy of the BIM model.</p><p>A methodology for modelling open spaces is been assuming, it is described possible improvements and considerations on the result.</p>


2018 ◽  
Vol 50 (2) ◽  
pp. 154
Author(s):  
Ardiansyah Ardiansyah ◽  
Revi Hernina ◽  
Weling Suseno ◽  
Faris Zulkarnain ◽  
Ramadhani Yanidar ◽  
...  

This study developed a model to identify the percent of building density (PBD) of DKI Jakarta Province in each pixel of Landsat 8 imageries through a multi-index approach. DKI Jakarta province was selected as the location of the study because of its urban environment characteristics.  The model was constructed using several predictor variables i.e.  Normalized Difference Built-up Index (NDBI), Soil-adjusted Vegetation Index (SAVI), Normalized Difference Water Index (NDWI), and surface temperature from thermal infrared sensor (TIRS). The calculation of training sample data was generated from high-resolution imagery and was correlated to the predictor variables using multiple linear regression (MLR) analysis. The R values of predictor variables are significantly correlated. The result of MLR analysis shows that the predictor variables simultaneously have correlation and similar pattern to the PBD based on high-resolution imageries. The Adjusted R Square value is 0,734, indicates that all four variables influences predicting the PBD by 73%.


Author(s):  
Marialuce Stanganelli ◽  
Carlo Gerundo

This paper focuses on urban planning strategies to adapt cities to the increasing rising of temperatures during summer heat waves. The main target is to investigate which configuration and distribution pattern of green spaces could effectively improve natural cooling of urban environments. Although the benefit that green areas give to natural cooling is well known, this kind of studies has hardly been carried out, especially at an urban scale where it is crucial to define quantities and density of green areas to address open spaces design. To reach this goal, a methodology based on the interpretation of the statistical correlation among temperature, urban parameters and green areas configurational indicators was implemented and applied to the case study of the Municipality of Naples, performing all the analysis in a GIS. Results provide guidelines to improve natural cooling in urban areas adopting the most effective configuration and distribution of green areas within a densely-built context.


Author(s):  
Laxmikant Sharma ◽  
Rajashree Naik ◽  
Alok Raj

Wetland ecosystems are one of the highly productive ecosystems in the world. These ecosystems have been deteriorating at a faster rate. Ramsar Convention is putting enormous effort to protect, maintain, and restore these ecosystems. Currently, the fourth phase of Strategic Plans of Ramsar Convention is going on, in which saline wetlandscapes can play vital role to attain 19 targets of this plan. In India there are 27 Ramsar sites in all the biogeographic zones; however, research work has been carried out in the past five years in only eight Ramsar sites. Currently, four years are available for the strategic plans to encourage more wetland researches. The chapter presents a case study of Sambhar Salt Lake, a Ramsar site of India that is on the verge of extinction. Normalized Difference Water Index has been calculated for three decades in 1992, 2009, and 2019, revealing the declining phases of the lake.


2020 ◽  
Author(s):  
Melissa Cate Christ ◽  
Hendrik Tieben

With one of the highest population densities in the world, Hong Kong suffers from a lack of public open space. Despite this situation, open spaces provided by government authorities or private developers often do not meet residents’ needs or include residents in the planning and design process. To explore one way that this issue is being addressed, this chapter describes an ongoing placemaking project within Hong Kong’s interstitial network of laneways (里) and alleys (巷). The key historical, sociocultural, and physical features, opportunities, and constraints of these in-between spaces are discussed. This is followed by an in-depth exploration of the case study Magic Lanes, a pilot project that aims to provide more inclusive public open spaces through placemaking and community co-creation.


2018 ◽  
Vol 2018 ◽  
pp. 1-7
Author(s):  
Erdal Akyol ◽  
Mutlu Alkan ◽  
Ali Kaya ◽  
Suat Tasdelen ◽  
Ali Aydin

In recent years, life quality of the urban areas is a growing interest of civil engineering. Environmental quality is essential to display the position of sustainable development and asserts the corresponding countermeasures to the protection of environment. Urban environmental quality involves multidisciplinary parameters and difficulties to be analyzed. The problem is not only complex but also involves many uncertainties, and decision-making on these issues is a challenging problem which contains many parameters and alternatives inherently. Multicriteria decision analysis (MCDA) is a very prepotent technique to solve that sort of problems, and it guides the users confidence by synthesizing that information. Environmental concerns frequently contain spatial information. Spatial multicriteria decision analysis (SMCDA) that includes Geographic Information System (GIS) is efficient to tackle that type of problems. This study has employed some geographic and urbanization parameters to assess the environmental urbanization quality used by those methods. The study area has been described in five categories: very favorable, favorable, moderate, unfavorable, and very unfavorable. The results are momentous to see the current situation, and they could help to mitigate the related concerns. The study proves that the SMCDA descriptions match the environmental quality perception in the city.


2018 ◽  
Vol 14 (1) ◽  
pp. 160-171
Author(s):  
Zahra Ghofrani ◽  
Victor Sposito ◽  
Robert Faggian

Abstract Precise information on the extent of inundated land is required for flood monitoring, relief, and protective measures. In this paper, two spectral indices, Normalized Difference Water Index (NDWI) and Modified Normalized Difference Water Index (MNDWI), were used to identify inundated areas during heavy rainfall events in the Tarwin catchment, Victoria, Australia, using Landsat-8 OLI imagery. By integrating the assessed condition of levees, this research also explains the inefficiency of the flood control measures of this region of Australia. NDWI and MNDWI indices performed well, but water features were enhanced better in the NDWI-derived image, with an accuracy of 96.04% and Kappa coefficient of 0.83.


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