A Novel “Ghost City” Phenomenon Identification Approach Based on Multi-source and Multitemporal Remote Sensing Data

2019 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp) ◽

10.1109/multi-temp.2019.8866982 ◽

2019 ◽

Author(s):

Xiaolong Ma ◽

Chengming Li ◽

Xiaohua Tong ◽

Sicong Liu ◽

Shouzhu Zheng

Keyword(s):

Remote Sensing ◽

Remote Sensing Data ◽

Sensing Data ◽

Identification Approach ◽

Multitemporal Remote Sensing ◽

Ghost City

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Water extend estimation over vegetated terrains in coastal area using multitemporal remote sensing data: a case study in Tumpat, Malaysia

7th Brunei International Conference on Engineering and Technology 2018 (BICET 2018) ◽

10.1049/cp.2018.1553 ◽

2018 ◽

Author(s):

Z. Rahimi ◽

F. Othman

Keyword(s):

Remote Sensing ◽

Coastal Area ◽

Remote Sensing Data ◽

Sensing Data ◽

Multitemporal Remote Sensing

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Classification of multitemporal remote sensing data using Conditional Random Fields

2010 IAPR Workshop on Pattern Recognition in Remote Sensing ◽

10.1109/prrs.2010.5742800 ◽

2010 ◽

Cited By ~ 6

Author(s):

Thorsten Hoberg ◽

Franz Rottensteiner ◽

Christian Heipke

Keyword(s):

Remote Sensing ◽

Random Fields ◽

Conditional Random Fields ◽

Remote Sensing Data ◽

Sensing Data ◽

Multitemporal Remote Sensing

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Toward operational monitoring of forest cover change in California using multitemporal remote sensing data

IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217) ◽

10.1109/igarss.2001.978266 ◽

2002 ◽

Cited By ~ 2

Author(s):

J. Rogan ◽

J. Franklin ◽

D. Stow ◽

L. Levien ◽

C. Fischer

Keyword(s):

Remote Sensing ◽

Forest Cover ◽

Remote Sensing Data ◽

Forest Cover Change ◽

Operational Monitoring ◽

Sensing Data ◽

Multitemporal Remote Sensing

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Feature Extraction and Analysis of Properties of Groundwater Discharge Points in Coastal Regions by using Multitemporal Remote Sensing Data

2006 IEEE International Symposium on Geoscience and Remote Sensing ◽

10.1109/igarss.2006.766 ◽

2006 ◽

Author(s):

Y. Kageyama ◽

H. Kodama ◽

M. Nishida

Keyword(s):

Remote Sensing ◽

Feature Extraction ◽

Groundwater Discharge ◽

Remote Sensing Data ◽

Coastal Regions ◽

Sensing Data ◽

Multitemporal Remote Sensing

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Groundwater Withdrawal Prediction Using Integrated Multitemporal Remote Sensing Data Sets and Machine Learning

Water Resources Research ◽

10.1029/2020wr028059 ◽

2020 ◽

Vol 56 (11) ◽

Cited By ~ 2

Author(s):

S. Majumdar ◽

R. Smith ◽

J. J. Butler ◽

V. Lakshmi

Keyword(s):

Machine Learning ◽

Remote Sensing ◽

Remote Sensing Data ◽

Groundwater Withdrawal ◽

Data Sets ◽

Sensing Data ◽

Multitemporal Remote Sensing

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Monitoring land cover in Acre State, western Brazilian Amazonia, using multitemporal remote sensing data

International Journal of Image and Data Fusion ◽

10.1080/19479832.2010.505177 ◽

2010 ◽

Vol 1 (4) ◽

pp. 325-335 ◽

Cited By ~ 6

Author(s):

Yosio Edemir Shimabukuro ◽

Valdete Duarte ◽

Egidio Arai ◽

Ramon M. Freitas ◽

Paulo Roberto Martini ◽

...

Keyword(s):

Remote Sensing ◽

Land Cover ◽

Remote Sensing Data ◽

Sensing Data ◽

Brazilian Amazonia ◽

Multitemporal Remote Sensing

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Multiset canonical correlations analysis and multispectral, truly multitemporal remote sensing data

IEEE Transactions on Image Processing ◽

10.1109/83.988962 ◽

2002 ◽

Vol 11 (3) ◽

pp. 293-305 ◽

Cited By ~ 170

Author(s):

A.A. Nielsen

Keyword(s):

Remote Sensing ◽

Remote Sensing Data ◽

Canonical Correlations ◽

Sensing Data ◽

Multitemporal Remote Sensing

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Modeling Managed Grassland Biomass Estimation by Using Multitemporal Remote Sensing Data—A Machine Learning Approach

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ◽

10.1109/jstars.2016.2561618 ◽

2017 ◽

Vol 10 (7) ◽

pp. 3254-3264 ◽

Cited By ~ 30

Author(s):

Iftikhar Ali ◽

Fiona Cawkwell ◽

Edward Dwyer ◽

Stuart Green

Keyword(s):

Machine Learning ◽

Remote Sensing ◽

Remote Sensing Data ◽

Biomass Estimation ◽

Learning Approach ◽

Sensing Data ◽

Machine Learning Approach ◽

Multitemporal Remote Sensing

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Multitarget Detection Algorithms for Multitemporal Remote Sensing Data

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2020.3037087 ◽

2020 ◽

pp. 1-15

Author(s):

Yanxin Xi ◽

Luyan Ji ◽

Weitun Yang ◽

Xiurui Geng ◽

Yongchao Zhao

Keyword(s):

Remote Sensing ◽

Remote Sensing Data ◽

Sensing Data ◽

Detection Algorithms ◽

Multitemporal Remote Sensing

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CLASSIFICATION AND MODELLING OF URBAN MICRO-CLIMATES USING MULTISENSORAL AND MULTITEMPORAL REMOTE SENSING DATA

ISPRS - International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences ◽

10.5194/isprsarchives-xxxix-b8-463-2012 ◽

2012 ◽

Vol XXXIX-B8 ◽

pp. 463-468 ◽

Cited By ~ 3

Author(s):

B. Bechtel ◽

T. Langkamp ◽

J. Böhner ◽

C. Daneke ◽

J. Oßenbrügge ◽

...

Keyword(s):

Remote Sensing ◽

Remote Sensing Data ◽

Sensing Data ◽

Multitemporal Remote Sensing

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