Land Consumption Classification Using Sentinel 1 Data: A Systematic Review
暂无分享,去创建一个
[1] Carsten Juergens,et al. Multitemporal Change Detection Analysis in an Urbanized Environment Based upon Sentinel-1 Data , 2022, Remote. Sens..
[2] Zia Khan,et al. Deep Learning-Based Change Detection in Remote Sensing Images: A Review , 2022, Remote Sensing.
[3] Yanjuan Yao,et al. Hierarchical fusion of optical and dual-polarized SAR on impervious surface mapping at city scale , 2022, ISPRS Journal of Photogrammetry and Remote Sensing.
[4] A. M. Guarnieri,et al. Fast Urban Land Cover Mapping Exploiting Sentinel-1 and Sentinel-2 Data , 2021, Remote. Sens..
[5] P. Gamba,et al. Spatio-Temporal Urban Change Mapping With Time-Series SAR Data , 2022, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[6] Sushobhan Majumdar,et al. Impact of land use change and rapid urbanization on urban heat island in Kolkata city: A remote sensing based perspective , 2021, Journal of Urban Management.
[7] Yongyang Xu,et al. Improving Urban Land Cover Classification with Combined Use of Sentinel-2 and Sentinel-1 Imagery , 2021, ISPRS Int. J. Geo Inf..
[8] Sajjad Ahmad,et al. Fusion of Sentinel-1 and Sentinel-2 data in mapping the impervious surfaces at city scale , 2021, Environmental Monitoring and Assessment.
[9] Haroon Stephen,et al. Impervious Surfaces Mapping at City Scale by Fusion of Radar and Optical Data through a Random Forest Classifier , 2021, Remote. Sens..
[10] Xiaoxiang Zhu,et al. Land consumption in cities: A comparative study across the globe , 2021 .
[11] Tania Luti,et al. Land Consumption Monitoring with SAR Data and Multispectral Indices , 2021, Remote. Sens..
[12] Bakhtiar Feizizadeh,et al. Urban classification using preserved information of high dimensional textural features of Sentinel-1 images in Tabriz, Iran , 2021, Earth Science Informatics.
[13] Catherine Linard,et al. Mapping 20 Years of Urban Expansion in 45 Urban Areas of Sub-Saharan Africa , 2021, Remote. Sens..
[14] 董建红,张志斌,笪晓军,张文斌,冯雪丽 DONG Jianhong. Eco-environmental effects of land use transformation and its driving forces from the perspective of “production-living-ecological” spaces: a case study of Gansu Province , 2021, Acta Ecologica Sinica.
[15] Hanfa Xing,et al. Integrating remote sensing and geospatial big data for urban land use mapping: A review , 2021, Int. J. Appl. Earth Obs. Geoinformation.
[16] A. M. Guarnieri,et al. HIGH-RESOLUTION URBAN MAPPING BY FUSION OF SAR AND OPTICAL DATA , 2021 .
[17] Marina Vîrghileanu,et al. Remote Sensing-Based Analysis of Urban Landscape Change in the City of Bucharest, Romania , 2021, Remote. Sens..
[18] Manjula Ranagalage,et al. Sentinel-2 Data for Land Cover/Use Mapping: A Review , 2020, Remote. Sens..
[19] Elise Colin Koeniguer,et al. Change Detection Based on the Coefficient of Variation in SAR Time-Series of Urban Areas , 2020, Remote. Sens..
[20] Sabrina Ferrari,et al. Mapping and Monitoring Urban Environment through Sentinel-1 SAR Data: A Case Study in the Veneto Region (Italy) , 2020, ISPRS Int. J. Geo Inf..
[21] Sam Navin MohanRajan,et al. Survey on Land Use/Land Cover (LU/LC) change analysis in remote sensing and GIS environment: Techniques and Challenges , 2020, Environmental Science and Pollution Research.
[22] Ioannis Tsolakidis,et al. Urban land cover mapping, using open satellite data. Case study of the municipality of Thessaloniki. , 2020, IOP Conference Series: Earth and Environmental Science.
[23] D. Smiraglia,et al. Land consumption in Italy , 2020, Journal of Maps.
[24] Hui Zhang,et al. Urban Land Use and Land Cover Classification Using Multisource Remote Sensing Images and Social Media Data , 2019, Remote. Sens..
[25] P. C. Pandey,et al. Land use/land cover in view of earth observation: data sources, input dimensions, and classifiers—a review of the state of the art , 2019, Geocarto International.
[26] Lei Ma,et al. Deep learning in remote sensing applications: A meta-analysis and review , 2019, ISPRS Journal of Photogrammetry and Remote Sensing.
[27] M. Alexe,et al. Extracting built-up areas from Sentinel-1 imagery using land-cover classification and texture analysis , 2019, International Journal of Remote Sensing.
[28] Hichem Omrani,et al. Assessing the performance of 38 machine learning models: the case of land consumption rates in Bavaria, Germany , 2019, Int. J. Geogr. Inf. Sci..
[29] Francesca Bovolo,et al. A Novel Change Detection Method for Multitemporal Hyperspectral Images Based on Binary Hyperspectral Change Vectors , 2019, IEEE Transactions on Geoscience and Remote Sensing.
[30] Xiuping Jia,et al. Synergistic Use of Optical and Dual-Polarized SAR Data With Multiple Kernel Learning for Urban Impervious Surface Mapping , 2019, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[31] Carlos López-Martínez,et al. Towards a 20 m Global Building Map from Sentinel-1 SAR Data , 2018, Remote. Sens..
[32] Michele Crosetto,et al. Land consumption monitoring: an innovative method integrating SAR and optical data , 2018, Environmental Monitoring and Assessment.
[33] Peijun Du,et al. SAR-Based Urban Extents Extraction: From ENVISAT to Sentinel-1 , 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[34] T. Murata,et al. Degradation of the urban ecosystem function due to soil sealing: involvement in the heat island phenomenon and hydrologic cycle in the Tokyo metropolitan area , 2018 .
[35] Tao Zhou,et al. Multi-Feature Classification of Multi-Sensor Satellite Imagery Based on Dual-Polarimetric Sentinel-1A, Landsat-8 OLI, and Hyperion Images for Urban Land-Cover Classification , 2018, Sensors.
[36] Ronghua Shang,et al. A self-paced learning algorithm for change detection in synthetic aperture radar images , 2018, Signal Process..
[37] Justin Morgenroth,et al. Developments in Landsat Land Cover Classification Methods: A Review , 2017, Remote. Sens..
[38] Huadong Guo,et al. A Modified Normalized Difference Impervious Surface Index (MNDISI) for Automatic Urban Mapping from Landsat Imagery , 2017, Remote. Sens..
[39] Peijun Du,et al. A review of supervised object-based land-cover image classification , 2017 .
[40] Michele Munafò,et al. MONITORING OF LAND CONSUMPTION: AN ANALYSIS OF LOSS OF NATURAL AND AGRICULTURAL AREAS IN ITALY , 2017 .
[41] H. Hameed,et al. Estimating the Effect of Urban Growth on Annual Runoff Volume Using GIS in the Erbil Sub-Basin of the Kurdistan Region of Iraq , 2017 .
[42] R. Shantha Selva Kumari,et al. Gabor filter based change detection in SAR images by KI thresholding , 2017 .
[43] Joanne C. White,et al. Optical remotely sensed time series data for land cover classification: A review , 2016 .
[44] Giorgos Mountrakis,et al. A meta-analysis of remote sensing research on supervised pixel-based land-cover image classification processes: General guidelines for practitioners and future research , 2016 .
[45] Pierre Soille,et al. Assessment of the Added-Value of Sentinel-2 for Detecting Built-up Areas , 2016, Remote. Sens..
[46] Alfred E. Hartemink,et al. Linking soils to ecosystem services — A global review , 2016 .
[47] Yifang Ban,et al. Object-Based Change Detection in Urban Areas Using Multitemporal High Resolution SAR Images with Unsupervised Thresholding Algorithms , 2016 .
[48] Jon Atli Benediktsson,et al. A Novel MKL Model of Integrating LiDAR Data and MSI for Urban Area Classification , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[49] Wai Yeung Yan,et al. Urban land cover classification using airborne LiDAR data: A review , 2015 .
[50] I. Wayan Nuarsa,et al. Enhanced Built-Up and Bareness Index (EBBI) for Mapping Built-Up and Bare Land in an Urban Area , 2012, Remote. Sens..
[51] C. Woodcock,et al. Assessment of spectral, polarimetric, temporal, and spatial dimensions for urban and peri-urban land cover classification using Landsat and SAR data , 2012 .
[52] Qihao Weng,et al. Remote sensing of impervious surfaces in the urban areas: Requirements, methods, and trends , 2012 .
[53] Jinghui Yang,et al. Block-regression based fusion of optical and SAR imagery for feature enhancement , 2010 .
[54] R. Scalenghe,et al. The anthropogenic sealing of soils in urban areas , 2009 .
[55] Rasmus Fensholt,et al. Remote Sensing , 2008, Encyclopedia of GIS.
[56] Luis Gómez-Chova,et al. Urban monitoring using multi-temporal SAR and multi-spectral data , 2006, Pattern Recognit. Lett..
[57] Luciano Vieira Dutra,et al. Multitemporal analysis of land use/land cover JERS-1 backscatter in the Brazilian tropical rainforest , 2002 .
[58] K. Riedel. Numerical Bayesian Methods Applied to Signal Processing , 1996 .
[59] John A. Richards,et al. Remote Sensing Digital Image Analysis , 1986 .