Updating of Land Cover Maps and Change Analysis Using GlobeLand30 Product: A Case Study in Shanghai Metropolitan Area, China

[1]  Yuanyuan Qin,et al.  Landslide mapping from multi-sensor data through improved change detection-based Markov random field , 2019, Remote Sensing of Environment.

[2]  Suming Jin,et al.  Completion of the 2011 National Land Cover Database for the Conterminous United States – Representing a Decade of Land Cover Change Information , 2015 .

[3]  Xiaoping Liu,et al.  High-resolution multi-temporal mapping of global urban land using Landsat images based on the Google Earth Engine Platform , 2018 .

[4]  Siamak Khorram,et al.  The effects of image misregistration on the accuracy of remotely sensed change detection , 1998, IEEE Trans. Geosci. Remote. Sens..

[5]  P. Gong,et al.  A 30-year (1984–2013) record of annual urban dynamics of Beijing City derived from Landsat data , 2015 .

[6]  S. K. McFeeters The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features , 1996 .

[7]  Xiaohua Tong,et al.  A Novel Approach for Hyperspectral Change Detection Based on Uncertain Area Analysis and Improved Transfer Learning , 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[8]  Jay Gao,et al.  Use of normalized difference built-up index in automatically mapping urban areas from TM imagery , 2003 .

[9]  Adam T. Carpenter,et al.  A User-Driven Approach to Determining Critical Earth Observation Priorities for Societal Benefit , 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[10]  Christopher Justice,et al.  The impact of misregistration on change detection , 1992, IEEE Trans. Geosci. Remote. Sens..

[11]  J. Townshend,et al.  Global land cover classi(cid:142) cation at 1 km spatial resolution using a classi(cid:142) cation tree approach , 2004 .

[12]  Xiaojun Yang,et al.  Relative Radiometric Normalization Performance for Change Detection from Multi-Date Satellite Images , 2000 .

[13]  Jan Haas,et al.  Satellite monitoring of urbanization and environmental impacts - A comparison of Stockholm and Shanghai , 2015, Int. J. Appl. Earth Obs. Geoinformation.

[14]  Pol Coppin,et al.  Review ArticleDigital change detection methods in ecosystem monitoring: a review , 2004 .

[15]  C. Justice,et al.  High-Resolution Global Maps of 21st-Century Forest Cover Change , 2013, Science.

[16]  Lorenzo Bruzzone,et al.  Toward the Automatic Updating of Land-Cover Maps by a Domain-Adaptation SVM Classifier and a Circular Validation Strategy , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[17]  Austin Troy,et al.  Object-based Land Cover Classification and Change Analysis in the Baltimore Metropolitan Area Using Multitemporal High Resolution Remote Sensing Data , 2008, Sensors.

[18]  U. Benz,et al.  Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information , 2004 .

[19]  Francesca Bovolo,et al.  Updating Land-Cover Maps by Classification of Image Time Series: A Novel Change-Detection-Driven Transfer Learning Approach , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[20]  Weiqi Zhou,et al.  A new approach for land cover classification and change analysis: Integrating backdating and an object-based method , 2016 .

[21]  Hugo Carrão,et al.  Combining per-pixel and object-based classifications for mapping land cover over large areas , 2014 .

[22]  Cong Lin,et al.  Automatic Updating of Land Cover Maps in Rapidly Urbanizing Regions by Relational Knowledge Transferring from GlobeLand30 , 2019, Remote. Sens..

[23]  Limin Yang,et al.  Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data , 2000 .

[24]  Alan H. Strahler,et al.  Global land cover mapping from MODIS: algorithms and early results , 2002 .

[25]  Peijun Shi,et al.  Detecting land-use/land-cover change in rural-urban fringe areas using extended change-vector analysis , 2011, Int. J. Appl. Earth Obs. Geoinformation.

[26]  Rongjun Qin,et al.  Multi-level monitoring of subtle urban changes for the megacities of China using high-resolution multi-view satellite imagery , 2017 .

[27]  J. Fry,et al.  Updating the 2001 National Land Cover Database land cover classification to 2006 by using Landsat imagery change detection methods , 2009 .

[28]  Ryutaro Tateishi,et al.  Production of global land cover data – GLCNMO , 2011, Int. J. Digit. Earth.

[29]  Lin Yan,et al.  Landslide mapping from aerial photographs using change detection-based Markov random field , 2016 .

[30]  S. Carpenter,et al.  Global Consequences of Land Use , 2005, Science.

[31]  Jin Chen,et al.  Global land cover mapping at 30 m resolution: A POK-based operational approach , 2015 .

[32]  J. Wickham,et al.  Completion of the 2001 National Land Cover Database for the conterminous United States , 2007 .

[33]  Gang Chen,et al.  Assessment of the image misregistration effects on object-based change detection , 2014 .

[34]  Brian P. Salmon,et al.  Rapid Land Cover Map Updates Using Change Detection and Robust Random Forest Classifiers , 2016, Remote. Sens..

[35]  Xuehong Chen,et al.  An automated approach for updating land cover maps based on integrated change detection and classification methods , 2012 .

[36]  Maggi Kelly,et al.  Change detection of built-up land: A framework of combining pixel-based detection and object-based recognition , 2016 .

[37]  Francesca Bovolo,et al.  Hierarchical Unsupervised Change Detection in Multitemporal Hyperspectral Images , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[38]  Damien Sulla-Menashe,et al.  MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets , 2010 .

[39]  Suming Jin,et al.  A comprehensive change detection method for updating the National Land Cover Database to circa 2011 , 2013 .

[40]  A. Belward,et al.  GLC2000: a new approach to global land cover mapping from Earth observation data , 2005 .

[41]  Peng Gong,et al.  Global land cover mapping using Earth observation satellite data: Recent progresses and challenges , 2015 .

[42]  A. Troy,et al.  An object‐oriented approach for analysing and characterizing urban landscape at the parcel level , 2008 .

[43]  Le Yu,et al.  Improving 30 m global land-cover map FROM-GLC with time series MODIS and auxiliary data sets: a segmentation-based approach , 2013 .

[44]  P. Gong,et al.  Land-use/land-cover change detection using improved change-vector analysis , 2003 .

[45]  Jianping Wu,et al.  Monitoring urban expansion and land use/land cover changes of Shanghai metropolitan area during the transitional economy (1979–2009) in China , 2011, Environmental monitoring and assessment.

[46]  Suming Jin,et al.  A land cover change detection and classification protocol for updating Alaska NLCD 2001 to 2011. , 2017 .

[47]  Ruiliang Pu,et al.  Object-based urban detailed land cover classification with high spatial resolution IKONOS imagery , 2011 .

[48]  Bing Zhang,et al.  Land cover classification of the North China Plain using MODIS_EVI time series , 2008 .

[49]  Jianwu Fang,et al.  Geo-Object-Based Land Cover Map Update for High-Spatial-Resolution Remote Sensing Images via Change Detection and Label Transfer , 2020, Remote. Sens..

[50]  Francesca Bovolo,et al.  A Theoretical Framework for Unsupervised Change Detection Based on Change Vector Analysis in the Polar Domain , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[51]  Guoqing Sun,et al.  Hierarchical mapping of Northern Eurasian land cover using MODIS data , 2011 .

[52]  Thomas R. Loveland,et al.  A review of large area monitoring of land cover change using Landsat data , 2012 .

[53]  Yu Dong,et al.  An automatic approach for land-change detection and land updates based on integrated NDVI timing analysis and the CVAPS method with GEE support , 2018, ISPRS Journal of Photogrammetry and Remote Sensing.

[54]  Limin Yang,et al.  Development of a 2001 National land-cover database for the United States , 2004 .

[55]  Thomas Blaschke,et al.  Object based image analysis for remote sensing , 2010 .

[56]  Limin Yang,et al.  COMPLETION OF THE 1990S NATIONAL LAND COVER DATA SET FOR THE CONTERMINOUS UNITED STATES FROM LANDSAT THEMATIC MAPPER DATA AND ANCILLARY DATA SOURCES , 2001 .

[57]  Patrick Bogaert,et al.  Forest change detection by statistical object-based method , 2006 .