Online Prediction of Derived Remote Sensing Image Time Series: An Autonomous Machine Learning Approach

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

10.1109/igarss39084.2020.9324428 ◽

2020 ◽

Author(s):

Monidipa Das

Keyword(s):

Machine Learning ◽

Remote Sensing ◽

Time Series ◽

Remote Sensing Image ◽

Learning Approach ◽

Machine Learning Approach ◽

Online Prediction ◽

Autonomous Machine

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Prediction of grape yields from time-series vegetation indices using satellite remote sensing and a machine-learning approach

Remote Sensing Applications Society and Environment ◽

10.1016/j.rsase.2021.100485 ◽

2021 ◽

Vol 22 ◽

pp. 100485

Author(s):

Sara Tokhi Arab ◽

Ryozo Noguchi ◽

Shusuke Matsushita ◽

Tofael Ahamed

Keyword(s):

Machine Learning ◽

Remote Sensing ◽

Time Series ◽

Satellite Remote Sensing ◽

Vegetation Indices ◽

Learning Approach ◽

Machine Learning Approach

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Machine Learning Approach to Automated Construction of Knowledge Bases For Expert Systems for Remote Sensing Image Analysis

Expert Systems with Applications ◽

10.1016/s0957-4174(97)86773-5 ◽

1996 ◽

Vol 11 (4) ◽

pp. VIII-IX ◽

Keyword(s):

Machine Learning ◽

Remote Sensing ◽

Image Analysis ◽

Expert Systems ◽

Remote Sensing Image ◽

Knowledge Bases ◽

Learning Approach ◽

Construction Of Knowledge ◽

Machine Learning Approach

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A Machine Learning Approach to Biodiversity Time Series Analysis

SSRN Electronic Journal ◽

10.2139/ssrn.3520735 ◽

2020 ◽

Author(s):

Rajarshi Paul ◽

Th. Shanta Kumar

Keyword(s):

Machine Learning ◽

Time Series ◽

Time Series Analysis ◽

Learning Approach ◽

Series Analysis ◽

Machine Learning Approach

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REMOTE SENSING OF LANDSLIDES IN THE MONTEVERDE, COSTA RICA CLOUD FOREST: A MACHINE LEARNING APPROACH

10.1130/abs/2019am-339388 ◽

2019 ◽

Author(s):

Eric Leu ◽

◽

Brian P. Yurk ◽

K. Greg Murray

Keyword(s):

Machine Learning ◽

Remote Sensing ◽

Cloud Forest ◽

Learning Approach ◽

Machine Learning Approach

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A New Hybrid Water Balance and Machine Learning Approach for Groundwater Withdrawal Prediction using Integrated Multi-Temporal Remote Sensing Datasets

10.1002/essoar.10503273.1 ◽

2020 ◽

Author(s):

Sayantan Majumdar ◽

Ryan Glen Smith ◽

James J Butler ◽

Venkataraman Lakshmi

Keyword(s):

Machine Learning ◽

Remote Sensing ◽

Water Balance ◽

Groundwater Withdrawal ◽

Learning Approach ◽

Machine Learning Approach ◽

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A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach

Remote Sensing of Environment ◽

10.1016/j.rse.2018.02.045 ◽

2018 ◽

Vol 210 ◽

pp. 35-47 ◽

Author(s):

Yaping Cai ◽

Kaiyu Guan ◽

Jian Peng ◽

Shaowen Wang ◽

Christopher Seifert ◽

...

Keyword(s):

Machine Learning ◽

Time Series ◽

Classification System ◽

High Performance ◽

Learning Approach ◽

Landsat Data ◽

Field Level ◽

Machine Learning Approach ◽

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I-80 Closures: An Autonomous Machine Learning Approach

Computational Science – ICCS 2021 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-77977-1_22 ◽

2021 ◽

pp. 286-291

Author(s):

Clay Carper ◽

Aaron McClellan ◽

Craig C. Douglas

Keyword(s):

Machine Learning ◽

Learning Approach ◽

Machine Learning Approach ◽

Autonomous Machine

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Estimating soil moisture using remote sensing data: A machine learning approach

Advances in Water Resources ◽

10.1016/j.advwatres.2009.10.008 ◽

2010 ◽

Vol 33 (1) ◽

pp. 69-80 ◽

Author(s):

Sajjad Ahmad ◽

Ajay Kalra ◽

Haroon Stephen

Keyword(s):

Machine Learning ◽

Remote Sensing ◽

Soil Moisture ◽

Remote Sensing Data ◽

Learning Approach ◽

Sensing Data ◽

Machine Learning Approach

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A Machine Learning Approach to Predict Turning Points for Chaotic Financial Time Series

19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007) ◽

10.1109/ictai.2007.105 ◽

2007 ◽

Author(s):

Xiuquan Li ◽

Zhido Deng

Keyword(s):

Machine Learning ◽

Time Series ◽

Financial Time Series ◽

Turning Points ◽

Learning Approach ◽

Financial Time ◽

Machine Learning Approach

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Financial Time Series Forecasting - A Machine Learning Approach

Machine Learning and Applications An International Journal ◽

10.5121/mlaij.2017.4302 ◽

2017 ◽

Vol 4 (1/2/3) ◽

pp. 11-27 ◽

Author(s):

Alexiei Dingli ◽

Karl Sant Fournier

Keyword(s):

Machine Learning ◽

Time Series ◽

Financial Time Series ◽

Time Series Forecasting ◽

Learning Approach ◽

Financial Time ◽

Machine Learning Approach

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