Remote Sensing Data Reveals Eco-Environmental Changes in Urban Areas of Klang Valley, Malaysia: Contribution from Object Based Analysis. by Pradhan, Biswajeet, Tehrany, Mahyat Shafapour, Jebur, Mustafa Neamah

“…This study attempts to present a space-borne satellite-based approach to demonstrate the urban change and its relation with land surface temperature (LST) variation in urban areas of Klang valley, Malaysia. For this purpose an object-based nearest neighbour classifier (S-NN) approach was first applied on SPOT 5 data acquired on 2003 and 2010 and subsequently five land cover categories were extracted. …”
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Spatio-temporal Analysis of Urban and Population Growths in Tripoli using Remotely Sensed Data and GIS. by Pradhan, Biswajeet, Mohd Shafri, Helmi Zulhaidi, Mansor, Shattri, Al-sharif, Abubakr A. A.

“…Also to understand and assess the interchangeable relationship of urban growth and population growth of study area. Urban area extents in different time periods were extracted by supervised classification method of the satellite imageries. …”
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Per-pixel and object-oriented classification methods for mapping urban land cover extraction using SPOT 5 imagery by Jebur, Mustafa Neamah, Mohd Shafri, Helmi Zulhaidi, Pradhan, Biswajeet, Tehrany, Mahyat Shafapour

“…The classified features were oil palm, rubber, urban area, soil, water and other vegetation. The study found that the overall classification of the DT was the lowest at 69.87% while those of SVM (pixel based) and SVM (object based) were 76.67 and 81.25%, respectively.…”

Geospatial modeling for sinkholes hazard map based on GIS & RS data by Al-Kouri, Omar, Al-Fugara, A’kif, Al-Rawashdeh, Samih, Sadoun, Balqies, Pradhan, Biswajeet

“…Sinkhole location and a spatial database were applied to calculate eight inherent causative factors for limestone instability namely: lithology, structure (lineament), soil cover, slope, land use mining, urban area features, ponds and rivers. The preparation of the sinkhole geohazard map involved summing the weighted values for each hazard element, which permits the construction of geohazard model; the results of the analysis were validated using the previous actual sinkholes locations in the study area. …”
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Urban expansion assessment by using remotely sensed data and the relative Shannon entropy model in GIS: a case study of Tripoli, Libya by A. A. Al Sharif, Abubakr, Pradhan, Biswajeet, Mansor, Shattri, Mohd Shafri, Helmi

“…Remotely sensed data (four satellite images from 1984, 1996, 2002, and 2010) and GIS were used to determine the extent of urban area and urban growth in Tripoli in five different directions. …”
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Deep learning approach for building detection using LiDAR–orthophoto fusion by Nahhas, Faten Hamed, Mohd Shafri, Helmi Zulhaidi, Sameen, Maher Ibrahim, Pradhan, Biswajeet, Mansor, Shattri

“…The proposed model was evaluated on two datasets selected from an urban area with different building types. Results show that the dimensionality reduction by the autoencoder approach from 21 features to 10 features can improve detection accuracy from 86.06% to 86.19% in the working area and from 77.92% to 78.26% in the testing area. …”
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Modeling of CO emissions from traffic vehicles using artificial neural networks by Al-Gbur, Omer Saud Azeez, Pradhan, Biswajeet, Mohd Shafri, Helmi Zulhaidi, Shukla, Nagesh, Lee, Chang Wook, Rizeei, Hossein Mojaddadi

“…The hybrid model was developed based on the integration of GIS and the optimized Artificial Neural Network algorithm that combined with the Correlation based Feature Selection (CFS) algorithm to predict the daily vehicular CO emissions and generate prediction maps at a microscale level in a small urban area by using a field survey and open source data, which are the main contributions to this paper. …”
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Assessment of rockfall hazard at Al-Noor Mountain, Makkah city (Saudi Arabia) using spatio-temporal remote sensing data and field investigation by Youssef, Ahmed M., Pradhan, Biswajeet, Al-Kathery, Mohamed, Bathrellos, George D., Skilodimou, Hariklia D.

“…Rockfall is one of the major concerns along different urban areas and highways all over the world. Al-Noor Mountain is one of the areas that threaten rockfalls to the Al-Noor escarpment track road and the surrounding urban areas. …”
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Urban sprawl analysis of Tripoli metropolitan city (Libya) using remote sensing data and multivariate logistic regression model by Al-sharif, Abubakr A. A., Pradhan, Biswajeet

“…The 11 factors that influence urban sprawl occurrence used in this research are the distances to main active economic centers, to a central business district, to the nearest urbanized area, to educational area, to roads, and to urbanized areas; easting and northing coordinates; slope; restricted area; and population density. …”

A rule-based parameter aided with object-based classification approach for extraction of building and roads from WorldView-2 images by Ziaei, Zahra, Pradhan, Biswajeet, Mansor, Shattri

“…Roads and buildings constitute a significant proportion of urban areas. Considerable amount of research has been done on the road and building extraction from remotely sensed imagery. …”
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Monitoring and predicting land use change in Tripoli Metropolitan City using an integrated Markov chain and cellular automata models in GIS by Al-sharif, Abubakr A. A., Pradhan, Biswajeet

“…The majority of these agricultural lands are converted to urban areas, which affects the ecosystems. In this research, an integrated model of Markov chain and cellular automata models was applied to simulate urban land use changes and to predict their spatial patterns in Tripoli metropolitan area, Libya. …”

Manifestation of GIS tools for spatial pattern distribution analysis of dengue fever epidemic in the city of Subang Jaya, Malaysia by Che Dom, Nazri, Abd Latif, Zulkiflee, Ahmad, Abu Hassan, Ismail, Rodziah, Pradhan, Biswajeet

“…It was first reported in 1901 in Penang and since then the disease has become endemic concentrating mostly in urban areas. This study used the temporal-spatial model to determine high risk areas for dengue outbreak by measuring three temporal risk characteristics (i.e. frequency, duration and intensity) in order to define the severity and magnitude of outbreak transmission. …”

Land subsidence susceptibility mapping at Kinta Valley (Malaysia) using the evidential belief function model in GIS by Pradhan, Biswajeet, Abokharima, Mohammed Hasan, Jebur, Mustafa Neamah, Tehrany, Mahyat Shafapour

“…Land subsidence is one of the frequent geological hazards worldwide. Urban areas and agricultural industries are the entities most affected by the consequences of land subsidence. …”

Advanced differential interferometry synthetic aperture radar techniques for deformation monitoring: a review on sensors and recent research development by Idrees, Mohammed Oludare, Saeidi, Vahideh, Pradhan, Biswajeet, Yusuf, Yusuf Ahmed

“…However, their usability in suburban and vegetated areas yields poor results, compared to urbanized areas, due to inadequate permanent features that could provide sufficient coherent point targets. …”
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Analysis on causes of flash flood in Jeddah city (Kingdom of Saudi Arabia) of 2009 and 2011 using multi-sensor remote sensing data and GIS by Youssef, Ahmed M., Sefry, Saleh A., Pradhan, Biswajeet, Alfadail, Emad Abu

“…During intense rainfall events, runoff flows westward from the hills and mountains towards the Red Sea, causing flash floods in the urban areas along the pathways of these wadis. Two major flash flood events occurred in Jeddah city during 20 November 2009 - January 2011. …”
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Spatio-temporal assessment of urban heat island effects in Kuala Lumpur metropolitan city using landsat images by Ahmed Yusuf, Yusuf, Pradhan, Biswajeet, Idrees, Mohammed Oludare

“…Alteration in climatic pattern has resulted to a steady decline in quality of life and the environment, especially in and around urbanized areas. These areas are faced with increasing surface temperature arising mostly from human activities and other natural sources; hence land surface temperature has become an important variable in global climate change studies. …”

Six decades of urban growth using remote sensing and GIS in the city of Bandar Abbas, Iran by Dadras, Mohsen, Mohd Shafri, Helmi Zulhaidi, Ahmad, Noordin, Pradhan, Biswajeet, Safarpour, Sahabeh

“…Growth was calculated through Shannon's entropy model. The urbanized area increased from 403.77 ha to 4959.59 ha from 1956 to 2012, a rate almost five times that of the population growth observed in the same period. …”
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Estimation of rainfall threshold and its use in landslide hazard mapping of Kuala Lumpur metropolitan and surrounding areas by Althuwaynee, Omar F., Pradhan, Biswajeet, Ahmad, Noordin

“…First, threshold analysis was conducted by using data obtained from rainfall stations located in highly urbanized areas of Kuala Lumpur metropolis. Six rainfall gauges were selected, and the study area was divided into six zones according to rainfall gauges: Taman Desa Station (TD-KL), Genting Klang (GK-KL), LDG Edinburgh Station (LDGE-KL), SG Raya Hulu Langat Station (SRHL-Slg), Puchong Drop Station (PD-Slg), and Bukit Antarabangsa (BTA-Slg). …”
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