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Spatio-temporal Analysis of Land Cover Changes of Izmir Province of Turkey Using Landsat TM and OLI Imagery
2017
Journal of Geography Environment and Earth Science International
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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
2014
2014 IEEE Geoscience and Remote Sensing Symposium
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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
2020
Remote Sensing
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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
2010
Spatial and Spatio-temporal Epidemiology
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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
2020
Data
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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
2007
2007 IEEE International Geoscience and Remote Sensing Symposium
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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
2021
International Journal of Environmental Research and Public Health
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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
2018
Journal of Applied Remote Sensing
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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
2014
European Journal of Remote Sensing
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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
2016
Remote Sensing
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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
2013
Natural Hazards
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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
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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)
2021
Remote Sensing
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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
2020
Remote Sensing
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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
2018
Sensors
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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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