scholarly journals Analysis of urban development by means of multi-temporal fragmentation metrics from LULC data

2015 ◽  
Vol XL-7/W3 ◽  
pp. 1411-1418 ◽  
Author(s):  
M. Sapena ◽  
L. A. Ruiz
Keyword(s):  
Urban Form ◽  
Urban Areas ◽  
Morphological Changes ◽  
Landscape Fragmentation ◽  
Growth Patterns ◽  
Temporal Data ◽  
Gis And Remote Sensing ◽  
Multi Temporal ◽  
Remote Sensing Techniques ◽  
Selection Of

The monitoring and modelling of the evolution of urban areas is increasingly attracting the attention of land managers and administration. New data, tools and methods are being developed and made available for a better understanding of these dynamic areas. We study and analyse the concept of landscape fragmentation by means of GIS and remote sensing techniques, particularly focused on urban areas. Using LULC data obtained from the European Urban Atlas dataset developed by the local component of Copernicus Land Monitoring Services (scale 1:10,000), the urban fragmentation of the province of Rome is studied at 2006 and 2012. A selection of indices that are able to measure the land cover fragmentation level in the landscape are obtained employing a tool called <i>IndiFrag</i>, using as input data LULC data in vector format. In order to monitor the urban morphological changes and growth patterns, a new module with additional multi-temporal metrics has been developed for this purpose. These urban fragmentation and multi-temporal indices have been applied to the municipalities and districts of Rome, analysed and interpreted to characterise quantity, spatial distribution and structure of the urban change. This methodology is applicable to different regions, affording a dynamic quantification of urban spatial patterns and urban sprawl. The results show that urban form monitoring with multi-temporal data using these techniques highlights urbanization trends, having a great potential to quantify and model geographic development of metropolitan areas and to analyse its relationship with socioeconomic factors through the time.

Quantifying Urban Sprawl With Spatial Autocorrelation Techniques Using Multi-Temporal Satellite Data

2019 ◽  
pp. 1624-1644
Author(s):  
Gabriele Nolè ◽  
Rosa Lasaponara ◽  
Antonio Lanorte ◽  
Beniamino Murgante
Keyword(s):  
Remote Sensing ◽  
Spatial Autocorrelation ◽  
Urban Areas ◽  
Urban Expansion ◽  
Data Sets ◽  
Temporal Data ◽  
Landsat Images ◽  
Urban Settlements ◽  
Multi Temporal ◽  
Soil Consumption

This study deals with the use of satellite TM multi-temporal data coupled with statistical analyses to quantitatively estimate urban expansion and soil consumption for small towns in southern Italy. The investigated area is close to Bari and was selected because highly representative for Italian urban areas. To cope with the fact that small changes have to be captured and extracted from TM multi-temporal data sets, we adopted the use of spectral indices to emphasize occurring changes, and geospatial data analysis to reveal spatial patterns. Analyses have been carried out using global and local spatial autocorrelation, applied to multi-date NASA Landsat images acquired in 1999 and 2009 and available free of charge. Moreover, in this paper each step of data processing has been carried out using free or open source software tools, such as, operating system (Linux Ubuntu), GIS software (GRASS GIS and Quantum GIS) and software for statistical analysis of data (R). This aspect is very important, since it puts no limits and allows everybody to carry out spatial analyses on remote sensing data. This approach can be very useful to assess and map land cover change and soil degradation, even for small urbanized areas, as in the case of Italy, where recently an increasing number of devastating flash floods have been recorded. These events have been mainly linked to urban expansion and soil consumption and have caused loss of human lives along with enormous damages to urban settlements, bridges, roads, agricultural activities, etc. In these cases, remote sensing can provide reliable operational low cost tools to assess, quantify and map risk areas.

scholarly journals GIS and remote sensing techniques for the assessment of land use changes impact on flood hydrology: the case study of Yialias Basin in Cyprus

2013 ◽  
Vol 1 (5) ◽  
pp. 4833-4869 ◽  
Author(s):  
D. D. Alexakis ◽  
M. G. Gryllakis ◽  
A. G. Koutroulis ◽  
A. Agapiou ◽  
K. Themistocleous ◽  
...  
Keyword(s):  
Land Use ◽  
Catchment Area ◽  
Nearest Neighbor ◽  
Flood Hazard ◽  
Land Use Changes ◽  
Economic Losses ◽  
Gis And Remote Sensing ◽  
Chain Analysis ◽  
Multi Temporal ◽  
Remote Sensing Techniques

Abstract. Flooding is one of the most common natural disasters worldwide, leading to economic losses and loss of human lives. This paper highlights the hydrological effects of multi-temporal land use changes in flood hazard within the Yialias catchment area, located in central Cyprus. Calibrated hydrological and hydraulic models were used to describe the hydrological processes and internal basin dynamics of the three major sub-basins, in order to study the diachronic effects of land use changes. For the implementation of the hydrological model, land use, soil and hydrometeorological data were incorporated. The climatic and stream flow data were derived from rain and flow gauge stations located in the wider area of the watershed basin. In addition, the land use and soil data were extracted after the application of object oriented nearest neighbor algorithms of ASTER satellite images. Subsequently, the CA-Markov chain analysis was implemented to predict the 2020 Land use/Land cover (LULC) map and incorporate it to the hydrological impact assessment. The results denoted the increase of runoff in the catchment area due to the recorded extensive urban sprawl phenomenon of the last decade.

Quantifying Urban Sprawl with Spatial Autocorrelation Techniques using Multi-Temporal Satellite Data

2014 ◽  
Vol 5 (2) ◽  
pp. 19-37 ◽  
Author(s):  
Gabriele Nolè ◽  
Rosa Lasaponara ◽  
Antonio Lanorte ◽  
Beniamino Murgante
Keyword(s):  
Remote Sensing ◽  
Spatial Autocorrelation ◽  
Urban Areas ◽  
Urban Expansion ◽  
Remote Sensing Data ◽  
Small Towns ◽  
Temporal Data ◽  
Landsat Images ◽  
Multi Temporal ◽  
Soil Consumption

This study deals with the use of satellite TM multi-temporal data coupled with statistical analyses to quantitatively estimate urban expansion and soil consumption for small towns in southern Italy. The investigated area is close to Bari and was selected because highly representative for Italian urban areas. To cope with the fact that small changes have to be captured and extracted from TM multi-temporal data sets, we adopted the use of spectral indices to emphasize occurring changes, and geospatial data analysis to reveal spatial patterns. Analyses have been carried out using global and local spatial autocorrelation, applied to multi-date NASA Landsat images acquired in 1999 and 2009 and available free of charge. Moreover, in this paper each step of data processing has been carried out using free or open source software tools, such as, operating system (Linux Ubuntu), GIS software (GRASS GIS and Quantum GIS) and software for statistical analysis of data (R). This aspect is very important, since it puts no limits and allows everybody to carry out spatial analyses on remote sensing data. This approach can be very useful to assess and map land cover change and soil degradation, even for small urbanized areas, as in the case of Italy, where recently an increasing number of devastating flash floods have been recorded. These events have been mainly linked to urban expansion and soil consumption and have caused loss of human lives along with enormous damages to urban settlements, bridges, roads, agricultural activities, etc. In these cases, remote sensing can provide reliable operational low cost tools to assess, quantify and map risk areas.

Preliminary morpho-structural analyses of the summit craters of Etna, in the last 4 Years, based on data extracted through SfM technique

2021 ◽  
Author(s):  
Cristina Proietti ◽  
Massimo Cantarero ◽  
Emanuela De Beni
Keyword(s):  
Morphological Changes ◽  
Low Cost ◽  
Mission Planning ◽  
Structural Weakness ◽  
Multi Temporal ◽  
Remote Sensing Techniques ◽  
Aerial Observation ◽  
Summer Time ◽  
Operator Safety ◽  
Active Volcanoes

&lt;p&gt;Morphological changes of the summit craters of active volcanoes are of pivotal interest in volcano monitoring because they could be the consequences of volcanic activities and represent the prelude of dangerous events.&lt;br&gt;Several methodologies have been used during the years in the volcanological monitoring, starting from ground measurements and remote sensing techniques such as aerial observation and satellite data analysis. &amp;#160;However, in the last decade UAVs have emerged in monitoring active volcanoes. In fact, they represent tools of indisputable value due to their relatively low cost, speed in mission planning, repeatability of surveys for data acquisition and increased operator safety.&lt;br&gt;During the last 4 Years we performed 15 UAVs surveys and 3 from helicopter to monitor the four summit craters of ETNA. The acquired data have been processed through structure-from-motion photogrammetric software to extract DEMs and orthomosaics with resolution ranging between 5 and 20 cm. A multi-temporal comparison of the extracted data has been successively performed on a GIS platform with the final aims of performing morpho-structural analyses of Etna summit craters, identifying areas of structural weakness, that could indicate areas of possible lateral collapses, and computing volume balances between gained and lost volumes.&lt;br&gt;The presented elaborations could help to quantify the hazard related to Etna summit eruptive activity and to mitigate the risk on an area visited by several tourists, especially in summer time.&lt;/p&gt;

scholarly journals Morphological Changes Detection of a Large Earthflow Using Archived Images, LiDAR-Derived DTM, and UAV-Based Remote Sensing

2020 ◽  
Vol 13 (1) ◽  
pp. 120
Author(s):  
Massimo Conforti ◽  
Michele Mercuri ◽  
Luigi Borrelli
Keyword(s):  
Morphological Changes ◽  
Source Area ◽  
Temporal Analysis ◽  
Earth Satellite ◽  
Google Earth ◽  
Aerial Photographs ◽  
Temporal Data ◽  
Transport Zone ◽  
Multi Temporal ◽  
System Data

In mountainous landscapes, where strongly deformed pelitic sediments outcrop, earthflows can dominate denudation processes and landscape evolution. This paper investigated geological and geomorphological features and space-time evolution over a 65-year time span (1954–2019) of a large earthflow, representative of wide sectors of the Apennine chain of southern Italy. The landslide, with a maximum length of 1.85 × 103 m, affects an area of 4.21 × 105 m2 and exhibits two source zones: a narrow and elongated transport zone and a lobate accumulation zone. Spatial and temporal morphological changes of the earthflow were assessed, comparing multi-source and multi-temporal data (aerial photographs, Google Earth satellite images, Light Detection and Ranging (LiDAR) and Unmanned Aerial Vehicles (UAV) system data). Geomorphic changes, quantified using Digital Terrain Models (DTMs) of differences, highlighted an extensive lowering of the topographic surface in the source area and a significant uplift at the landslide toe. Moreover, the multi-temporal analysis showed a high increase of landslide surface (more than 66%) during the last 65 years. The volumetric analyses showed that different sectors of the earthflow were active at different times, with different rates of topographic change. Overall, the used approach highlighted the great potentiality of the integration of multi-source and multi-temporal data for the diachronic reconstruction of morphological landslide evolution.

scholarly journals Assessment of Urban Growth Patterns using Spatio-temporal Data and Analysis

2019 ◽  
Vol 7 (5) ◽  
Author(s):  
Said Masoud Bakhit ◽  
Sbai Abdelkader
Keyword(s):  
Land Use ◽  
Urban Growth ◽  
Spatial Modeling ◽  
Urban Areas ◽  
Growth Patterns ◽  
Temporal Data ◽  
Spatial Trend ◽  
Growth Trends ◽  
Critical Issues ◽  
Spatio Temporal

Modeling urban growth trends has become one of the critical issues in the last decades. This study aims to evaluate spatio-temporal urban growth trends using spatial modeling. For this purpose, four land-use maps were used to visualize historical urban growth trends in Seremban, Malaysia. Land Change Modeller (LCM) was used to evaluate the spatial trend of Land-use and land-cover (LULC) in Seremban. The results of the study confirm that urban areas in Seremban hugely increased from 1984 to 2010. The main reasons to increase urban areas are that economic and population growth in Malaysia in general and Seremban in particular. This study confirms that the LCM model is one of the effective spatial techniques that should be taken into account in urban planning studies.

scholarly journals Using GIS and Remote Sensing Satellite Data to mapping and monitoring Shatt Al-Arab Estuary (out bar Area) and nearby coastline Southern Iraq

2020 ◽  
Vol 25 (3) ◽  
pp. 1-21
Author(s):  
Usama Alwhaely ◽  
Meelad A. Hussein ◽  
Layal F. AL-Kaaby
Keyword(s):  
Remote Sensing ◽  
Morphological Changes ◽  
Gis And Remote Sensing ◽  
Factors Affecting ◽  
Spatial Changes ◽  
Remote Sensing Techniques ◽  
Geomorphological Changes ◽  
Large Irrigation ◽  
Clear Change ◽  
Southern Iraq

The main objective of this study is to evaluate the most important geomorphological changes of the Shatt al-Arab estuary as it is a border area and affect the Iraqi coast, through the analysis of morphological changes using the application of remote sensing techniques and GIS. As well as the use both a series of maps Admiral old and recent to monitor the temporal - spatial changes that took place in the mouth of the Shatt al-Arab (Delta Shatt al-Arab), also identify the factors affecting the Iraqi coast and regional maritime borders, whether natural or human, according to   the changes resulting from the lack of river discharges, which seems Clearly in the Shatt al-Arab Canal . when the discharge in the eighties of the last century more than 700 m3/S . These expenditures have been declining and decreasing significantly in recent years to reach less than 15 m3/S in the last two decades, due to the construction of several large irrigation projects and dams by riparian countries (Turkey, Iran and Syria),which led to a clear change in the movement and distribution sediments and the deviation of the entrance of the Shatt al-Arab with an area of ​​more than 4.667 square kilometers towards Iraqi territory until 2013 at a rate of 116 m2 and thus the loss of  large parts of Iraq coasts.

scholarly journals The Rate and Pattern of the Spatio-Temporal Expansion of Rangpur City Corporation, Rangpur, Bangladesh

2021 ◽  
pp. 74-83
Author(s):  
. Hasnahena ◽  
Subaran Chandra Sarker ◽  
Md. Sahidul Islam ◽  
Md. Zakiur Rahman
Keyword(s):  
Urban Areas ◽  
Supervised Classification ◽  
Satellite Images ◽  
Thematic Mapper ◽  
Shannon’S Entropy ◽  
Gis And Remote Sensing ◽  
Shannon's Entropy ◽  
Spatio Temporal ◽  
Remote Sensing Techniques ◽  
Entropy Technique

Analyzing the spatio-temporal growth of the built-up areas of any urban place is incredibly much vital for the proper planning and development of the urban areas. The present study emphasizes on determining the rate and pattern of spatio-temporal growth of Rangpur City Corporation (RpCC) for the year of 1989, 2000, 2010, and 2017 through Shannon's Entropy with the help of GIS and remote sensing techniques. The Shannon's Entropy technique was adopted in order to determining the dispersion or compactness in the pattern of the built-up areas in the study area. In the present study, Lands at Operational Land Imager (OLI), Lands at Thematic Mapper (TM) and Lands at Enhanced Thematic Mapper plus (ETM+) satellite images on the year of 1989, 2000, 2010, and 2017 were analyzed for certain interpretations. The changes of the built-up areas in RpCC were identified and determined through supervised classification using ArcMap10.5 software. The study indicated that spatio-temporal growth of the built-up areas have been in RpCC was existed during 1989-2017. The built-up areas increased by 5.89 Sq.km. during 1989 -2000, 32.23 Sq.km. during 2000- 2010 and 18.85 Sq.km. during 2010-2017 and the expansion rate of the built-up areas was 8.02%, 25.64% and 6.01% during 1989-2000, 2000-2010 and 2010-2017 respectively. The relative entropy value of 1989, 2000, 2010 and 2017 was found 0.17, 0.24, 0.47 and 0.53 which interprets that the expansion of the built-up areas was existed in RpCC and the pattern of expansion was dispersed. However, the outcomes of this study will be very helpful to formulate perfect planning and management system regarding the expansion of the built-up areas the built-up areas expansion of RpCC.

scholarly journals LAND COVER CHANGE DETECTION ANALYSIS ON URBAN GREEN AREA LOSS USING GIS AND REMOTE SENSING TECHNIQUES

2013 ◽  
Vol 11 ◽  
Author(s):  
Noorzailawati Mohd Noor ◽  
Alias Abdullah ◽  
Mohd Nasrul Hanis Manzahani
Keyword(s):  
Remote Sensing ◽  
Urban Areas ◽  
Kuala Lumpur ◽  
Gis And Remote Sensing ◽  
Detection Analysis ◽  
Green Area ◽  
Urban Green Area ◽  
Green Areas ◽  
Erdas Imagine ◽  
Remote Sensing Techniques

The loss of green area has been rising all over the world particularly in big cities. For a number of decades, urban sprawl and developments have changed the natural landscapes of urban areas where areas with green areas have been converted into built up developments and other land uses. Thus this research intends to study the changes of green areas in Kuala Lumpur based on land use detection analysis approach where 3 series of remote sensing images namely SPOT2, SPOT4 and IKONOS for year 1990, 2001 and 2010 have been used to acquire the data on the green area changes aided by ERDAS IMAGINE 2011 and ARGIS 9.2. The finding of the study shows that there is a decrease in the size of green area in Kuala Lumpur from year 1990-2010 due to pressure of urban developments. Two significant factors which contribute to the changes of green area in Kuala Lumpur have been identified in the study, which are the increase in built up areas and sprawl development pattern.

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