The impacts of smoothing methods for time-series remote sensing data on crop phenology extraction

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) ◽

10.1109/igarss.2016.7729593 ◽

2016 ◽

Author(s):

Jianhong Liu ◽

Pei Zhan

Keyword(s):

Remote Sensing ◽

Time Series ◽

Remote Sensing Data ◽

Crop Phenology ◽

Sensing Data ◽

Smoothing Methods

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A Hidden Markov Models Approach for Crop Classification: Linking Crop Phenology to Time Series of Multi-Sensor Remote Sensing Data

Remote Sensing ◽

10.3390/rs70403633 ◽

2015 ◽

Vol 7 (4) ◽

pp. 3633-3650 ◽

Author(s):

Sofia Siachalou ◽

Giorgos Mallinis ◽

Maria Tsakiri-Strati

Keyword(s):

Remote Sensing ◽

Time Series ◽

Hidden Markov Models ◽

Markov Models ◽

Hidden Markov ◽

Remote Sensing Data ◽

Crop Phenology ◽

Sensing Data ◽

Crop Classification

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Integrating time-series and high-spatial remote sensing data based on multilevel decision fusion

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss39084.2020.9323564 ◽

2020 ◽

Author(s):

G. Xudong ◽

C. Huang ◽

L. Gaohuan ◽

L. Qingsheng

Keyword(s):

Remote Sensing ◽

Time Series ◽

Remote Sensing Data ◽

Decision Fusion ◽

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An efficient organization method for large-scale and long time-series remote sensing data in a cloud computing environment

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

10.1109/jstars.2021.3110900 ◽

2021 ◽

pp. 1-1

Author(s):

Jining Yan ◽

Yuanxing Liu ◽

Lizhe Wang ◽

Zhipeng Wang ◽

Xiaohui Huang ◽

...

Keyword(s):

Remote Sensing ◽

Time Series ◽

Cloud Computing ◽

Large Scale ◽

Remote Sensing Data ◽

Computing Environment ◽

Cloud Computing Environment ◽

Efficient Organization ◽

Sensing Data ◽

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Grassland degradation and restoration monitoring and driving forces analysis based on long time-series remote sensing data in Xilin Gol League

Acta Ecologica Sinica ◽

10.1016/j.chnaes.2017.02.009 ◽

2017 ◽

Vol 37 (4) ◽

pp. 219-228 ◽

Author(s):

Bin Sun ◽

Zengyuan Li ◽

Zhihai Gao ◽

Zhong Guo ◽

Bengyu Wang ◽

...

Keyword(s):

Remote Sensing ◽

Time Series ◽

Driving Forces ◽

Remote Sensing Data ◽

Grassland Degradation ◽

Sensing Data ◽

Long Time Series ◽

Long Time ◽

Restoration Monitoring

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Phenology analysis of moist decedous forest using time series Landsat-8 remote sensing data

2019 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor) ◽

10.1109/metroagrifor.2019.8909249 ◽

2019 ◽

Author(s):

Siddhartha Khare ◽

Sergio Rossi

Keyword(s):

Remote Sensing ◽

Time Series ◽

Remote Sensing Data ◽

Landsat 8 ◽

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Cultivated area estimation combining moderate spatial resolution remote sensing data and MODIS time series data

2012 First International Conference on Agro- Geoinformatics (Agro-Geoinformatics) ◽

10.1109/agro-geoinformatics.2012.6311602 ◽

2012 ◽

Author(s):

Yizhan Li ◽

Yuting Li

Keyword(s):

Remote Sensing ◽

Time Series ◽

Spatial Resolution ◽

Time Series Data ◽

Remote Sensing Data ◽

Series Data ◽

Area Estimation ◽

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Time-series processing of large scale remote sensing data with extreme learning machine

Neurocomputing ◽

10.1016/j.neucom.2013.02.051 ◽

2014 ◽

Vol 128 ◽

pp. 199-206 ◽

Author(s):

Jiaoyan Chen ◽

Guozhou Zheng ◽

Cong Fang ◽

Ningyu Zhang ◽

Huajun Chen ◽

...

Keyword(s):

Remote Sensing ◽

Time Series ◽

Extreme Learning Machine ◽

Large Scale ◽

Remote Sensing Data ◽

Sensing Data ◽

Learning Machine

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Land Use and Land Cover Change Dynamics across the Brazilian Amazon: Insights from Extensive Time-Series Analysis of Remote Sensing Data

PLoS ONE ◽

10.1371/journal.pone.0104144 ◽

2014 ◽

Vol 9 (8) ◽

pp. e104144 ◽

Author(s):

João M. B. Carreiras ◽

Joshua Jones ◽

Richard M. Lucas ◽

Cristina Gabriel

Keyword(s):

Remote Sensing ◽

Land Use ◽

Time Series ◽

Time Series Analysis ◽

Land Cover Change ◽

Remote Sensing Data ◽

Brazilian Amazon ◽

Sensing Data ◽

Change Dynamics

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THE CONSTRUCTION OF TIME SERIES SIMULTANEOUSLY USING SUOMI NPP VIIRS AND TERRA/AQUA MODIS REMOTE SENSING DATA

Proceedings of the International conference “InterCarto/InterGIS” ◽

10.24057/2414-9179-2017-3-23-46-51 ◽

2017 ◽

Vol 3 (23) ◽

pp. 46-51 ◽

Author(s):

D. V. Pchel’nikov ◽

N. N. Dobtretsov

Keyword(s):

Remote Sensing ◽

Time Series ◽

Remote Sensing Data ◽

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A Brief Description of Recovery Process of Coastal Vegetation after Tsunami: A Google Earth time-series Remote Sensing Data

Jurnal Manajemen Hutan Tropika (Journal of Tropical Forest Management) ◽

10.7226/jtfm.23.2.81 ◽

2017 ◽

Vol 23 (2) ◽

pp. 81-89 ◽

Author(s):

MCW Arief ◽

◽

A Itaya

Keyword(s):

Remote Sensing ◽

Time Series ◽

Remote Sensing Data ◽

Recovery Process ◽

Google Earth ◽

Coastal Vegetation ◽

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