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Abdullah, Haidi [Author]; Darvishzadeh, Roshanak [Author]; Skidmore, Andrew K. [Author]; Heurich, Marco [Author]

Sensitivity of Landsat-8 OLI and TIRS data to foliar properties of early stage bark beetle (Ips typographus, L.) infestation

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Basel: MDPI, 2019

Published in: Remote sensing ; 11, 4 (2019), 398
Ali, Abebe Mohammed [Author]; Abdullah, Haidi [Author]; Darvishzadeh, Roshanak [Author]; Skidmore, Andrew K. [Author]; Heurich, Marco [Author]; Röösli, Claudia [Author]; Paganini, Marc [Author]; Heiden, Uta [Author]; Marshall, David [Author]

Canopy chlorophyll content retrieved from time series remote sensing data as a proxy for detecting bark beetle infestation

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Amsterdam: Elsevier, 2021

Published in: Remote sensing applications: society and environment ; 22 (2021), 100524
Ibrahim, Gaylan Rasul Faqe; Rasul, Azad; Abdullah, Haidi

Assessing how irrigation practices and soil moisture affect crop growth through monitoring Sentinel-1 and Sentinel-2 data

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Springer Science and Business Media LLC, 2023

Published in: Environmental Monitoring and Assessment, 195 (2023) 11
Faqe Ibrahim, Gaylan R.; Rasul, Azad; Abdullah, Haidi

Improving Crop Classification Accuracy with Integrated Sentinel-1 and Sentinel-2 Data: a Case Study of Barley and Wheat

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Springer Science and Business Media LLC, 2023

Published in: Journal of Geovisualization and Spatial Analysis, 7 (2023) 2
Faqe Ibrahim, Gaylan Rasul; Rasul, Azad; Abdullah, Haidi

Sentinel‐2 accurately estimated wheat yield in a semi-arid region compared with Landsat 8

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Informa UK Limited, 2023

Published in: International Journal of Remote Sensing, 44 (2023) 13, Seite 4115-4136
Neinavaz, Elnaz; Darvishzadeh, Roshanak; Skidmore, Andrew K.; Abdullah, Haidi

Integration of Landsat-8 Thermal and Visible-Short Wave Infrared Data for Improving Prediction Accuracy of Forest Leaf Area Index

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MDPI AG, 2019

Published in: Remote Sensing, 11 (2019) 4, Seite 390
Abdullah, Haidi; Darvishzadeh, Roshanak; Skidmore, Andrew K.; Heurich, Marco

Sensitivity of Landsat-8 OLI and TIRS Data to Foliar Properties of Early Stage Bark Beetle (Ips typographus, L.) Infestation

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MDPI AG, 2019

Published in: Remote Sensing, 11 (2019) 4, Seite 398
Abdullah, Haidi; Skidmore, Andrew K.; Darvishzadeh, Roshanak; Heurich, Marco

Sentinel‐2 accurately maps green‐attack stage of European spruce bark beetle (Ips typographus, L.) compared with Landsat‐8

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Wiley, 2019

Published in: Remote Sensing in Ecology and Conservation, 5 (2019) 1, Seite 87-106
Hussein, Shwan O.; Kovács, Ferenc; Tobak, Zalán; Abdullah, Haidi J.

Spatial distribution of vegetation cover in Erbil city districts using high-resolution Pléiades satellite image

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University of Debrecen/ Debreceni Egyetem, 2018

Published in: Landscape & Environment, 12 (2018) 1, Seite 10-22
Lai, Chi Qin; Ibrahim, Haidi; Abdullah, Jafri Malin; Azman, Azlinda; Abdullah, Mohd Zaid

Convolutional Neural Network Utilizing Error-Correcting Output Codes Support Vector Machine for Classification of Non-Severe Traumatic Brain Injury From Electroencephalogram Signal

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Institute of Electrical and Electronics Engineers (IEEE), 2021

Published in: IEEE Access, 9 (2021), Seite 24946-24964
Lai, Chi Qin; Ibrahim, Haidi; Abdullah, Mohd Zaid; Abdullah, Jafri Malin; Suandi, Shahrel Azmin; Azman, Azlinda

Arrangements of Resting State Electroencephalography as the Input to Convolutional Neural Network for Biometric Identification

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Hindawi Limited, 2019

Published in: Computational Intelligence and Neuroscience, 2019 (2019), Seite 1-10
Lai, Chi Qin; Ibrahim, Haidi; Abdullah, Mohd Zaid; Abdullah, Jafri Malin; Suandi, Shahrel Azmin; Azman, Azlinda

Literature survey on applications of electroencephalography (EEG)

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Author(s), 2018

Published in: AIP Conference Proceedings, 2016 (2018), Seite 020070
Rousseau, Mélody; Adiningrat, Devara P; Skidmore, Andrew K; Siegenthaler, Andjin; Wang, Tiejun; Abdullah, Haidi

Field estimation of fallen deadwood volume under different management approaches in two European protected forested areas

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Oxford University Press (OUP), 2024

Published in: Forestry: An International Journal of Forest Research, 97 (2024) 5, Seite 762-770
Adiningrat, Devara P.; Schlund, Michael; Skidmore, Andrew K.; Abdullah, Haidi; Wang, Tiejun; Heurich, Marco

Mapping temperate old-growth forests in Central Europe using ALS and Sentinel-2A multispectral data

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Springer Science and Business Media LLC, 2024

Published in: Environmental Monitoring and Assessment, 196 (2024) 9
Islam, Qamar Ul; Ibrahim, Haidi; Chin, Pan Kok; Lim, Kevin; Abdullah, Mohd Zaid

MVS‐SLAM: Enhanced multiview geometry for improved semantic RGBD SLAM in dynamic environment

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Wiley, 2024

Published in: Journal of Field Robotics, 41 (2024) 1, Seite 109-130
Ul Islam, Qamar; Ibrahim, Haidi; Chin, Pan Kok; Lim, Kevin; Abdullah, Mohd Zaid

FADM-SLAM: a fast and accurate dynamic intelligent motion SLAM for autonomous robot exploration involving movable objects

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Emerald, 2023

Published in: Robotic Intelligence and Automation, 43 (2023) 3, Seite 254-266
Mohd Noor, Nor Safira Elaina; Ibrahim, Haidi; Lai, Chi Qin; Abdullah, Jafri Malin

A Long Short-Term Memory Network Using Resting-State Electroencephalogram to Predict Outcomes Following Moderate Traumatic Brain Injury

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MDPI AG, 2023

Published in: Computers, 12 (2023) 2, Seite 45
Lai, Chi Qin; Ibrahim, Haidi; Suandi, Shahrel Azmin; Abdullah, Mohd Zaid

Convolutional Neural Network for Closed-Set Identification from Resting State Electroencephalography

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MDPI AG, 2022

Published in: Mathematics, 10 (2022) 19, Seite 3442
Mohd Noor, Nor Safira Elaina; Ibrahim, Haidi; Che Lah, Muhammad Hanif; Abdullah, Jafri Malin

Prediction of Recovery from Traumatic Brain Injury with EEG Power Spectrum in Combination of Independent Component Analysis and RUSBoost Model

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MDPI AG, 2022

Published in: BioMedInformatics, 2 (2022) 1, Seite 106-123
Noor, Nor Safira Elaina Mohd; Ibrahim, Haidi; Lah, Muhammad Hanif Che; Abdullah, Jafri Malin

Improving Outcome Prediction for Traumatic Brain Injury From Imbalanced Datasets Using RUSBoosted Trees on Electroencephalography Spectral Power

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Institute of Electrical and Electronics Engineers (IEEE), 2021

Published in: IEEE Access, 9 (2021), Seite 121608-121631

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