Geocarto International

The importance of investigating causative factors and training data selection for accurate landslide susceptibility assessment: the case of Ain Lahcen Commune (Tetouan, Northern Morocco)

Geocarto International ◽

10.1080/10106049.2022.2028905 ◽

2022 ◽

pp. 1-24

Author(s):

Ali Bounab ◽

Kamal Agharroud ◽

Younes El Kharim ◽

Rachid El Hamdouni ◽

Layachi Faghloumi

Keyword(s):

Landslide Susceptibility ◽

Training Data ◽

Data Selection ◽

Susceptibility Assessment ◽

Landslide Susceptibility Assessment ◽

Causative Factors ◽

Selection For ◽

Training Data Selection ◽

And Training

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Classification of urban tree species using LiDAR data and WorldView-2 satellite imagery in a heterogeneous environment

Geocarto International ◽

10.1080/10106049.2022.2028904 ◽

2022 ◽

pp. 1-28

Author(s):

Simbarashe Jombo ◽

Elhadi Adam ◽

Solomon Tesfamichael

Keyword(s):

Satellite Imagery ◽

Tree Species ◽

Lidar Data ◽

Heterogeneous Environment ◽

Urban Tree

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Decision-level Integration Window Strategy in Satellite Imagery-derived Land Surface Temperature Disaggregation

Geocarto International ◽

10.1080/10106049.2021.2022017 ◽

2022 ◽

pp. 1-17

Author(s):

Mohammad Karimi Firozjaei ◽

Majid Kiavarz ◽

Seyed Kazem Alavipanah

Keyword(s):

Surface Temperature ◽

Satellite Imagery ◽

Land Surface Temperature ◽

Land Surface ◽

Decision Level

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Assessment of flood susceptibility mapping using support vector machine, logistic regression and their ensemble techniques in the Belt and Road region

Geocarto International ◽

10.1080/10106049.2022.2025918 ◽

2022 ◽

pp. 1-40

Author(s):

Jun Liu ◽

Jiyan Wang ◽

Junnan Xiong ◽

Weiming Cheng ◽

Yi Li ◽

...

Keyword(s):

Support Vector Machine ◽

Logistic Regression ◽

Susceptibility Mapping ◽

Support Vector ◽

Flood Susceptibility ◽

Ensemble Techniques ◽

Belt And Road ◽

Flood Susceptibility Mapping ◽

The Belt And Road

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A Novel Ensemble Machine Learning and Time Series Approach for Oil Palm Yield Prediction Using Landsat Time Series Imagery Based on NDVI

Geocarto International ◽

10.1080/10106049.2022.2025920 ◽

2022 ◽

pp. 1-24

Author(s):

Helmi Zulhaidi Mohd Shafri ◽

Yuhao Ang ◽

Shahrul Azman Bakar ◽

Haryati Abidin ◽

Yang Ping Lee ◽

...

Keyword(s):

Machine Learning ◽

Time Series ◽

Oil Palm ◽

Yield Prediction ◽

Ensemble Machine Learning ◽

Time Series Approach

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Advanced Utilization of Multi-Learning Algorithm: Ensemble Super Learner to Map Groundwater Potential for Potable Mineral Water

Geocarto International ◽

10.1080/10106049.2022.2025921 ◽

2022 ◽

pp. 1-19

Author(s):

Sanghoon Lee ◽

Dugin Kaown ◽

Eun-Hee Koh ◽

Hye-Lim Lee ◽

Kyung-Seok Ko ◽

...

Keyword(s):

Mineral Water ◽

Learning Algorithm ◽

Groundwater Potential ◽

Super Learner

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Detection of alteration zones using the Dirichlet process stick breaking model-based clustering algorithm to Hyperion data: The case study of Kuh-Panj porphyry copper deposits, southern Iran

Geocarto International ◽

10.1080/10106049.2022.2025917 ◽

2022 ◽

pp. 1-27

Author(s):

Mastoureh Yousefi ◽

Seyed Hassan Tabatabaei ◽

Reyhaneh Rikhtehgaran ◽

Amin Beiranvand Pour ◽

Biswajeet Pradhan

Keyword(s):

Dirichlet Process ◽

Clustering Algorithm ◽

Porphyry Copper ◽

Porphyry Copper Deposits ◽

Copper Deposits ◽

Alteration Zones ◽

Model Based Clustering ◽

Southern Iran ◽

Hyperion Data

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Charland mapping and analyzing suitability for settlement and agriculture in ganga river within the stretch of West Bengal, India

Geocarto International ◽

10.1080/10106049.2021.2022012 ◽

2022 ◽

pp. 1-24

Author(s):

Swades Pal ◽

Shahana Khatun ◽

Susanta Mahato

Keyword(s):

West Bengal ◽

Ganga River

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Multi-resolution analysis based data mining approach to assess vegetation dynamics in Jharkhand using time series MODIS products

Geocarto International ◽

10.1080/10106049.2021.2024610 ◽

2021 ◽

pp. 1-17

Author(s):

Niraj Priyadarshi ◽

V.M. Chowdary ◽

K. Chandrasekar ◽

Jeganathan Chockalingam ◽

Soumya Bandyopadhyay ◽

...

Keyword(s):

Data Mining ◽

Time Series ◽

Vegetation Dynamics ◽

Data Mining Approach ◽

Multi Resolution Analysis ◽

Resolution Analysis

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A multimodality test outperforms three machine learning classifiers for identifying and mapping paddocks using time series satellite imagery

Geocarto International ◽

10.1080/10106049.2021.2024278 ◽

2021 ◽

pp. 1-16

Author(s):

Rob O’Hara ◽

Jesko Zimmermann ◽

Stuart Green

Keyword(s):

Machine Learning ◽

Time Series ◽

Satellite Imagery ◽

Machine Learning Classifiers ◽

Learning Classifiers ◽

Multimodality Test

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Geocarto International
Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Informa Uk (Taylor & Francis)

The importance of investigating causative factors and training data selection for accurate landslide susceptibility assessment: the case of Ain Lahcen Commune (Tetouan, Northern Morocco)

Classification of urban tree species using LiDAR data and WorldView-2 satellite imagery in a heterogeneous environment

Decision-level Integration Window Strategy in Satellite Imagery-derived Land Surface Temperature Disaggregation

Assessment of flood susceptibility mapping using support vector machine, logistic regression and their ensemble techniques in the Belt and Road region

A Novel Ensemble Machine Learning and Time Series Approach for Oil Palm Yield Prediction Using Landsat Time Series Imagery Based on NDVI

Advanced Utilization of Multi-Learning Algorithm: Ensemble Super Learner to Map Groundwater Potential for Potable Mineral Water

Detection of alteration zones using the Dirichlet process stick breaking model-based clustering algorithm to Hyperion data: The case study of Kuh-Panj porphyry copper deposits, southern Iran

Charland mapping and analyzing suitability for settlement and agriculture in ganga river within the stretch of West Bengal, India

Multi-resolution analysis based data mining approach to assess vegetation dynamics in Jharkhand using time series MODIS products

A multimodality test outperforms three machine learning classifiers for identifying and mapping paddocks using time series satellite imagery

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Geocarto InternationalLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Informa Uk (Taylor & Francis)

The importance of investigating causative factors and training data selection for accurate landslide susceptibility assessment: the case of Ain Lahcen Commune (Tetouan, Northern Morocco)

Classification of urban tree species using LiDAR data and WorldView-2 satellite imagery in a heterogeneous environment

Decision-level Integration Window Strategy in Satellite Imagery-derived Land Surface Temperature Disaggregation

Assessment of flood susceptibility mapping using support vector machine, logistic regression and their ensemble techniques in the Belt and Road region

A Novel Ensemble Machine Learning and Time Series Approach for Oil Palm Yield Prediction Using Landsat Time Series Imagery Based on NDVI

Advanced Utilization of Multi-Learning Algorithm: Ensemble Super Learner to Map Groundwater Potential for Potable Mineral Water

Detection of alteration zones using the Dirichlet process stick breaking model-based clustering algorithm to Hyperion data: The case study of Kuh-Panj porphyry copper deposits, southern Iran

Charland mapping and analyzing suitability for settlement and agriculture in ganga river within the stretch of West Bengal, India

Multi-resolution analysis based data mining approach to assess vegetation dynamics in Jharkhand using time series MODIS products

A multimodality test outperforms three machine learning classifiers for identifying and mapping paddocks using time series satellite imagery

Geocarto International
Latest Publications