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Spatio-temporal Analysis of Land Cover Changes of Izmir Province of Turkey Using Landsat TM and OLI Imagery

Fatih Kara
2017 Journal of Geography Environment and Earth Science International  
Satellite images from 1986 to 2015 were used to investigate LULC change patterns and a transition matrix was created.  ...  GIS-RS based hybrid method provided a very high accuracy (about 93%) in satellite image classification and maintained a transition matrix of changing dynamics.  ...  OBIA includes four steps: (1) multiresolution segmentation for generating image objects; (2) feature extraction and parameter assessments; (3) classifying image objects by iterative steps and; (4) accuracy  ... 
doi:10.9734/jgeesi/2017/34604 fatcat:omm2ffnvczamxmuscjc2g2wx6i

Road extraction from high resolution remote sensing image using multiresolution in case of major disaster

Idrissa Coulibaly, N. Spiric, M. Ouled Sghaier, W. Manzo-Vargas, R. Lepage, M. St-Jacques
2014 2014 IEEE Geoscience and Remote Sensing Symposium  
The characterization is performed on two image at various resolution images, respectively representing a rural and urban disaster area, captured by Quickbird satellite.  ...  Our aim is to improve the quality of roads extraction after adaptation of the Lowe's SIFT descriptors (scale-invariant feature transform) jointly with spectral angle algorithm.  ...  Fig. 6 . 6 Road extraction results on two images with our multiresolution algorithm.  ... 
doi:10.1109/igarss.2014.6947035 dblp:conf/igarss/CoulibalySSMLS14 fatcat:d5sqlj2q4zbaljpwro34mzl6be

Using Wavelet Transforms to Fuse Nighttime Light Data and POI Big Data to Extract Urban Built-Up Areas

Xiong He, Chunshan Zhou, Jun Zhang, Xiaodie Yuan
2020 Remote Sensing  
It is indicated that the built-up areas identified after image fusion are significantly improved with more realistic extraction results.  ...  -A data from October 2018 to March 2019. to identify urban built-up areas.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs12233887 fatcat:b4hf2lprw5dclc36otirqjzvgy

Generating land cover boundaries from remotely sensed data using object-based image analysis: Overview and epidemiological application

Susan K. Maxwell
2010 Spatial and Spatio-temporal Epidemiology  
Deriving boundaries of land cover objects, such as trees, buildings, and crop fields, from image data has traditionally been performed manually using a very time consuming process of hand digitizing.  ...  medium resolution Landsat image (30 m) time series in the context of a pesticide spray drift exposure application.  ...  Acknowledgments This publication was supported by funding from National Cancer Institute Contract HHSN261200900024C.  ... 
doi:10.1016/j.sste.2010.09.005 pmid:21135917 pmcid:PMC2996831 fatcat:w73nk6ucivdc3e4bjbimqpzpxy

Changes in the Building Stock of Da Nang between 2015 and 2017

Andreas Braun, Gebhard Warth, Felix Bachofer, Tram Thi Quynh Bui, Hao Tran, Volker Hochschild
2020 Data  
The buildings were classified into nine distinct types and initially extracted from a satellite image of the year 2015.  ...  The dataset shows an increase of 19,391 buildings between October 2015 and August 2017, with a variety of interesting spatial patterns.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/data5020042 fatcat:ludi7vic45fgdiorhqnt4laxgy

Object-based classification of multi-sensor optical imagery to generate terrain surface roughness information for input to wind risk simulation

Alan Forghani, Bob Cechet, Krishna Nadimpalli
2007 2007 IEEE International Geoscience and Remote Sensing Symposium  
A comparison with results derived from textural-spectral classification showed considerable improvement over the results from earlier classification techniques.  ...  This paper discusses the methodology that developed a procedure to derive terrain surface roughness from various multi-source satellite images.  ...  Craig Smith of ACRES and Dr Jane Saxton of Risk Research Group at Geoscience Australia for constructive review of the manuscript is gratefully acknowledged.  ... 
doi:10.1109/igarss.2007.4423498 dblp:conf/igarss/ForghaniCN07 fatcat:2neeek3zxbcmroixed4sjkbejy

Delineation of the Urban-Rural Boundary through Data Fusion: Applications to Improve Urban and Rural Environments and Promote Intensive and Healthy Urban Development

Jun Zhang, Xiaodie Yuan, Xueping Tan, Xue Zhang
2021 International Journal of Environmental Research and Public Health  
Accurate delineation of urban–rural boundaries is helpful for optimizing internal spatial structure in both urban and rural areas, alleviating environmental problems resulting from urban development, assisting  ...  between urban and rural areas; so, the comprehensive consideration of NTL and point of interest (POI) data can help improve the accuracy of urban–rural boundary delineation.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijerph18137180 fatcat:rsi6x5dtgvfmflb33o5w2o6am4

Vegetation role in controlling the ecoenvironmental conditions for sustainable urban environments: a comparison of Beijing and Islamabad

Shahid Naeem, Chunxiang Cao, Mirza Muhammad Waqar, Chen Wei, Bipin Kumar Acharya
2018 Journal of Applied Remote Sensing  
The significance of urban vegetation for the cooling effect was studied in local climate zones, i.e., urban, suburban, and rural areas within 1-km 2 quantiles.  ...  The urban thermal field variance index calculated from satellite imagery was ranked into the ecological evaluation index.  ...  objects to a class based on their similarity to samples, i.e., the distance of objects from samples in the feature space. 49, 50 To classify the satellite images, first of all, multiresolution segmentation  ... 
doi:10.1117/1.jrs.12.016013 fatcat:7m6bu5ripnh3pn2jvolxrb4zce

Hierarchical classification of complex landscape with VHR pan-sharpened satellite data and OBIA techniques

Marco Gianinetto, Marco Rusmini, Gabriele Candiani, Giorgio Dalla Via, Federico Frassy, Pieralberto Maianti, Andrea Marchesi, Francesco Rota Nodari, Luigi Dini
2014 European Journal of Remote Sensing  
This paper demonstrates the capabilities of Object Based Image Analysis in multi-scale thematic classification of a complex sub-urban landscape with simultaneous presence of agricultural, residential and  ...  industrial areas using pan-sharpened very high resolution satellite imagery.  ...  Acknowledgements The study is part of the research project "Evaluation of COSMO-SkyMed performances and simulation of future ORFEO system with existing optical data" related to the integration of optical  ... 
doi:10.5721/eujrs20144715 fatcat:5femu5snpraodoze6thqnqelum

Land Cover Mapping in Southwestern China Using the HC-MMK Approach

Guangbin Lei, Ainong Li, Jinhu Bian, Zhengjian Zhang, Huaan Jin, Xi Nan, Wei Zhao, Jiyan Wang, Xiaomin Cao, Jianbo Tan, Qiannan Liu, Huan Yu (+2 others)
2016 Remote Sensing  
The multi-temporal native HJ (HuanJing, small satellite constellation for disaster and environmental monitoring) CCD (Charge-Coupled Device) images, Landsat TM (Thematic Mapper) images and topographical  ...  Land cover mapping in mountainous areas is a notoriously challenging task due to the rugged terrain and high spatial heterogeneity of land surfaces as well as the frequent cloud contamination of satellite  ...  We are also thankful to all the contractors, image providers and the anonymous reviewers for their valuable comments and suggestions.  ... 
doi:10.3390/rs8040305 fatcat:xptyqugqwzbedhne4fewcbv4e4

An object-based image analysis for building seismic vulnerability assessment using high-resolution remote sensing imagery

Hao Wu, Zhiping Cheng, Wenzhong Shi, Zelang Miao, Chenchen Xu
2013 Natural Hazards  
With the aid of 35 building samples from two powerful earthquakes in China, the cloud-free WorldView-2 images and some building structure parameters from field survey were used to quantity the grades of  ...  The results show that all 48 buildings among the study area have been well detected with an overall accuracy of 80.67 % and the mean error of heights estimated from building shadow is less than 2 m.  ...  It may be a result of heterogeneous roof materials from different residential quarters in our study area.  ... 
doi:10.1007/s11069-013-0905-6 fatcat:zh3qd2vmofdnjhy3lnp5fnqfae

A Holistic Analysis for Landslide Susceptibility Mapping Applying Geographic Object-Based Random Forest: A Comparison between Protected and Non-Protected Forests

2020 Remote Sensing  
Landslide samples were extracted from field observations, satellite images, and available database.  ...  The optimal performance of random forest was obtained after building 500 trees with the area under the receiver operating characteristics (AUROC) values of 86.3 and 81.8% for the protected and non-protected  ...  The author acknowledges support by the German Research Foundation and the Open Access Funding by the Publication Fund of the TU Dresden.  ... 
doi:10.3390/rs12030434 fatcat:bokdamrswfd47natunjowd4zs4

Delineation of Urban Agglomeration Boundary Based on Multisource Big Data Fusion—A Case Study of Guangdong–Hong Kong–Macao Greater Bay Area (GBA)

Xiong He, Xiaodie Yuan, Dahao Zhang, Rongrong Zhang, Ming Li, Chunshan Zhou
2021 Remote Sensing  
Then, the image is segmented by multiresolution segmentation to delineate the urban agglomeration boundary of GBA. Finally, the results are verified.  ...  Still, for all that, previous studies delineated the boundary only from the perspective of land relations.  ...  Conflicts of Interest: The authors declare no conflict of interest. Remote Sens. 2021, 13, 1801  ... 
doi:10.3390/rs13091801 fatcat:minglr2blfdfzcvyznnf4pdqim

Bidirectional Segmented Detection of Land Use Change Based on Object-Level Multivariate Time Series

Yuzhu Hao, Zhenjie Chen, Qiuhao Huang, Feixue Li, Beibei Wang, Lei Ma
2020 Remote Sensing  
type and time of land use change from Landsat images.  ...  Time series (TS) analysis of remote sensing images is a powerful method for land use change detection.  ...  Acknowledgments: We thank the National Aeronautics and Space Administration and the Chinese Academy of Sciences Geospatial Data Cloud for providing free use of their Landsat satellite images.  ... 
doi:10.3390/rs12030478 fatcat:eyyvhancajdpddqteo5kejqmgi

Feature Selection Method Based on High-Resolution Remote Sensing Images and the Effect of Sensitive Features on Classification Accuracy

Yi Zhou, Rui Zhang, Shixin Wang, Futao Wang
2018 Sensors  
With the advent of high spatial resolution remote sensing imagery, numerous image features can be utilized.  ...  The precision of each image was more than 85%. The time efficiency of the proposed method was two-fold greater than SVM with all the features.  ...  Figure 7 .Figure 7 . 77 ContExtraction results of urban and rural areas. Figure 7 . 7 Extraction results of urban and rural areas.  ... 
doi:10.3390/s18072013 pmid:29932436 pmcid:PMC6068868 fatcat:kjy5a6cnbvggjpmlzntkva5mxy
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