scholarly journals Monitoring and Landscape Quantification of Uncontrolled Urbanisation in Oasis Regions: The Case of Adrar City in Algeria

2021 ◽  
Vol 5 (2) ◽  
pp. 209-219
Author(s):  
Assoule Dechaicha ◽  
Adel Daikh ◽  
Djamel Alkama
Keyword(s):  
Landscape Metrics ◽  
Satellite Images ◽  
Methodological Approach ◽  
Monitoring And Evaluation ◽  
Temporal Analysis ◽  
Multi Temporal ◽  
Spatio Temporal ◽  
Landsat Satellite ◽  
Landscape Transformations ◽  
The City

Nowadays, uncontrolled urbanisation is one of the major problems facing Algerian oasis regions. The monitoring and evaluation of its landscape transformations remain a key step for any oasis sustainability project. This study highlights the evolution of spatial growth in the city of Adrar in southern Algeria during the period 1986-2016 by establishing a Spatio-temporal mapping and landscape quantification. The methodological approach is based on a multi-temporal analysis of Landsat satellite images for 1986, 1996, 2006 and 2016, and the application of landscape metrics. The results show two opposite spatial trends: significant growth of built-up areas against an excessive loss of palm groves. The landscape metrics allowed the identification of a progressive fragmentation process characterising the palm groves. Thus, the findings of this study show the utility of satellite imagery and landscape metrics approach for monitoring urbanisation patterns and assessing their impacts on oasis ecosystems.

scholarly journals MULTI-TEMPORAL ANALYSIS OF THE GLACIER RETREAT USING LANDSAT SATELLITE IMAGES IN THE NEVADO OF THE AMPAY NATIONAL SANCTUARY- PERU

2021 ◽  
Vol N/A (N/A) ◽  
pp. 0-0
Author(s):  
Carolina Soto Carrión ◽  
Juan José Zuñiga Negrón ◽  
Jhon Paucar Ancco ◽  
Wilber Jiménez Mendoza ◽  
Manuel J. Ibarra Cabrera ◽  
...  
Keyword(s):  
Satellite Images ◽  
Temporal Analysis ◽  
Glacier Retreat ◽  
Multi Temporal ◽  
Landsat Satellite

scholarly journals Analysis of vegetation cover area as an urban environmental quality factor

2019 ◽  
Vol 36 (2) ◽  
pp. 95-107
Author(s):  
David Andrés Calvache ◽  
Angie Navarro ◽  
Álvaro Ceballos F.
Keyword(s):  
Environmental Quality ◽  
Vegetation Cover ◽  
Vegetation Index ◽  
Temporal Analysis ◽  
Urban Morphology ◽  
Population Exposure ◽  
Residential Energy ◽  
Multi Temporal ◽  
Landsat Satellite ◽  
The City

The process of urbanization modifies and eliminates biological components of urban morphology by replacing vegetation cover with gray surfaces. In this study, we aimed to identify the changes in vegetation cover in the city of San Juan de Pasto between the periphery and commune 1, which has the lowest vegetation cover in the city. We performed a multi-temporal analysis with LANDSAT satellite images over a period of 27 years (1989-2016) using the soil-adjusted vegetation index (SAVI) to determine the loss of urban vegetation cover (UVC). We estimated the urban environmental quality index (UEQI) based on the methodology proposed by the Ministry of Environment and Sustainable Development of Colombia (MinAmbiente), obtaining a score of 42 points that indicates low environmental quality. Furthermore, we calculated a new UEQI by mathematically extrapolating and correlating the theoretical benefits of UVC with environmental quality indicators, such as air quality, urban population exposure to noise exceeding the permitted levels, and residential energy consumption per capita. We found an improvement in the score of all the indicators and, consequently, the UEQI. We obtained a high projected environmental quality score of 60, demonstrating that UVC is a transforming factor of urban environmental quality due to the benefits provided by vegetation cover.

scholarly journals SPATIO-TEMPORAL ANALYSIS OF LANDSCAPE PATTERNS IN THE CATOLÉ WATERSHED, NORTHERN MINAS GERAIS1

2018 ◽  
Vol 42 (4) ◽  
Author(s):  
Rodrigo Nogueira Martins ◽  
Selma Alves Abrahão ◽  
Danilo Pereira Ribeiro ◽  
Ana Paula Ferreira Colares ◽  
Marco Antonio Zanella
Keyword(s):  
Landscape Metrics ◽  
Riparian Vegetation ◽  
Temporal Analysis ◽  
Bare Soil ◽  
Landscape Patterns ◽  
Core Area ◽  
Sparse Vegetation ◽  
Dense Vegetation ◽  
Processing Level ◽  
Spatio Temporal

ABSTRACT The aim of this study was to quantify the spatio-temporal changes in land use/ cover (LULC), as well as analyze landscape patterns over a 20-year period (1995 - 2015) in the Catolé watershed, northern Minas Gerais State, using landscape metrics. The LULC maps were obtained using Landsat 5 and 8 data (Processing level 1) through supervised classification using the maximum likelihood classifier. Seven thematic classes were identified: dense vegetation, sparse vegetation, riparian vegetation, cropland, planted forest, bare soil, and water. From the LULC maps, classes related to the natural landscape (dense, sparse, and riparian vegetation) were grouped into forest patches, which was then ordered by size: very small (< 5 ha); small (5 - 10 ha); medium (10 - 100 ha); large (100 ha); and a general class (no distinction of patch size). Then, metrics of area, size and density, edge, shape, proximity and core area were calculated. The dense vegetation portion of the study area decreased considerably within a given time, while the portion of cropland and bare soil increased. Overall, in the Catolé river basin, the total area of natural vegetation decreased by 3,273 hectares (4.62%). Landscape metrics analysis exhibited a reduction in the number of very small patches, although the study area was still considered as fragmented. Moreover, a maximum edge distance of 50 m is suggested for conducting studies involving core area metrics in the Catolé watershed, as values above this distance would eliminate the very small patches.

scholarly journals Multi-temporal analysis of radiometric changes in satellite images of forest edges to infer selective-logging areas in the Amazon forest

2015 ◽  
Vol 45 (1) ◽  
pp. 35-44 ◽  
Author(s):  
Paulo Maurício Lima de Alencastro GRAÇA ◽  
Francisco Dario MALDONADO ◽  
João Roberto dos SANTOS ◽  
Edwin Willem Hermanus KEIZER
Keyword(s):  
Satellite Images ◽  
Near Infrared ◽  
Elevation Angle ◽  
Temporal Analysis ◽  
Selective Logging ◽  
Amazon Forest ◽  
Forest Edges ◽  
Solar Elevation ◽  
Multi Temporal ◽  
Solar Elevation Angle

Radiometric changes observed in multi-temporal optical satellite images have an important role in efforts to characterize selective-logging areas. The aim of this study was to analyze the multi-temporal behavior of spectral-mixture responses in satellite images in simulated selective-logging areas in the Amazon forest, considering red/near-infrared spectral relationships. Forest edges were used to infer the selective-logging infrastructure using differently oriented edges in the transition between forest and deforested areas in satellite images. TM/Landsat-5 images acquired at three dates with different solar-illumination geometries were used in this analysis. The method assumed that the radiometric responses between forest with selective-logging effects and forest edges in contact with recent clear-cuts are related. The spatial frequency attributes of red/near infrared bands for edge areas were analyzed. Analysis of dispersion diagrams showed two groups of pixels that represent selective-logging areas. The attributes for size and radiometric distance representing these two groups were related to solar-elevation angle. The results suggest that detection of timber exploitation areas is limited because of the complexity of the selective-logging radiometric response. Thus, the accuracy of detecting selective logging can be influenced by the solar-elevation angle at the time of image acquisition. We conclude that images with lower solar-elevation angles are less reliable for delineation of selecting logging.

scholarly journals Urban Growth During Civilian and Military Administrations in Osogbo, Nigeria

2018 ◽  
Vol 50 (1) ◽  
pp. 1
Author(s):  
Olalekan John Taiwo
Keyword(s):  
Comparative Analysis ◽  
Urban Growth ◽  
Landscape Metrics ◽  
Urban Areas ◽  
Satellite Images ◽  
Morphological Characteristics ◽  
Temporal Patterns ◽  
Civilian Regimes ◽  
Landsat Satellite ◽  
The Military

Research on comparative analysis of urban growth and structure during military and civilian regimes most especially in Africa where coup d’etats is common and where private individuals mainly control land is limited. This study analyzed the temporal patterns and morphological characteristics of urban growth during the military and civilian regimes as well as during different civilian administrations using eight landscape metrics. Landsat satellite images of 1984, 1991, 2000, 2003, 2010 and 2014 were used in the analysis. It was found that urban growth occurred primarily through expansion (annexation) of extant urban areas rather than spontaneous and detached development.

scholarly journals Geoinformatics Based Sprawl Dynamics Analysis of Berhampur Development Authority Area, Odisha, India

2019 ◽  
Vol 8 (4) ◽  
pp. 10471-10477
Keyword(s):  
Urban Areas ◽  
Satellite Images ◽  
Spatial Information ◽  
Spatial Dimension ◽  
High Resolution Satellite Images ◽  
Multi Temporal ◽  
Authority Area ◽  
Arc Gis ◽  
Spatio Temporal ◽  
Gis Software

Urban and Regional planners need accurate and authentic spatio-temporal information of urban sprawls for efficient and sustainable planning of towns & cities worldwide. Geoinformatics powered with temporal high resolution satellite images, Geographic Information System (GIS), mobile technology, etc is now emerged as the most powerful tool for mapping and monitoring the sprawls of urban habitations. In this paper an attempt is made for analysing the dynamics of sprawls of three statutory towns of Berhampur Development Authority (BeDA) area of Ganjam District, Odisha state, India. The spatial information of urban sprawl of each town has been generated using openly available toposheets and multi -sensor & multi - temporal satellite images and the spatio temporal characteristics of sprawls has been analysed in Arc GIS software. The sprawl area as well as the population of the three towns have been analysed and the future scenario of sprawl-population dynamics has been forecasted for the years 2021 and 2031.The result of this paper highlights that sprawls of the three towns i.e Berhampur, Chhatrapur and Gopalpur will expand their spatial dimension by 22,18 and 97 percent by 2031 whereas population of the three towns will increase by 43, 19 and 15 percent between 2011 -2031.Finally the result indicates that there will be decrease in population density in the three towns which will ultimately force the Development Authority to plan more basic infrastructures and transportation in the newly expanded urban areas.

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