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Helmi Zulhaidi Mohd Shafri

Helmi Zulhaidi Mohd Shafri

D-Index & Metrics

Computer Science

D-Index
42
Citations
5801
World Ranking
8518
National Ranking
17

Overview

Helmi Zulhaidi Mohd Shafri is affiliated with Universiti Putra Malaysia in Malaysia. The research work primarily spans Environmental Science and Engineering, with significant contributions in the following subfields:

  • Ecology
  • Environmental Engineering
  • Global and Planetary Change
  • Media Technology
  • Plant Science

The main topics addressed in the research include:

  • Remote Sensing and LiDAR Applications
  • Remote-Sensing Image Classification
  • Remote Sensing in Agriculture
  • Land Use and Ecosystem Services
  • Oil Palm Production and Sustainability
  • Flood Risk Assessment and Management
  • Remote Sensing and Land Use

Helmi Zulhaidi Mohd Shafri has contributed to numerous publications, including recent papers such as:

  • "Oil palm mapping over Peninsular Malaysia using Google Earth Engine and machine learning algorithms" (2020) published in Remote Sensing Applications Society and Environment
  • "Deep Convolutional Neural Network for Large-Scale Date Palm Tree Mapping from UAV-Based Images" (2021) published in Remote Sensing
  • "A Deep Learning Approach for Dengue Fever Prediction in Malaysia Using LSTM with Spatial Attention" (2023) published in International Journal of Environmental Research and Public Health
  • "Remotely-Sensed Ecosystem Health Assessment (RSEHA) model for assessing the changes of ecosystem health of Lake Urmia Basin" (2021) published in International Journal of Image and Data Fusion
  • "Improving Forest Above-Ground Biomass Estimation by Integrating Individual Machine Learning Models" (2024) published in Forests

The frequent co-authors collaborating with Helmi Zulhaidi Mohd Shafri include:

  • Aimrun Wayayok
  • Shaiful Jahari Hashim
  • Ahmad Fikri Abdullah
  • Yuhao Ang
  • Nur Shafira Nisa Shaharum

The research outputs are often disseminated in multiple publication venues, predominantly in:

  • IOP Conference Series Earth and Environmental Science
  • Remote Sensing
  • ISPRS International Journal of Geo-Information
  • Geocarto International
  • Remote Sensing Applications Society and Environment

Overall, the research profile underscores a focus on applying remote sensing and machine learning techniques across various environmental and agricultural domains, emphasizing ecosystem monitoring, mapping, and predictive modeling relevant to Malaysia and broader regional contexts.

Best Publications

  • The Performance of Maximum Likelihood, Spectral Angle Mapper, Neural Network and Decision Tree Classifiers in Hyperspectral Image Analysis

    Helmi Zulhaidi Mohd Shafri;Affendi Suhaili;Shattri Mansor

  • Lineament mapping and its application in landslide hazard assessment: a review

    Mohammad Firuz Ramli;N. Yusof;Mohd Kamil Yusoff;Hafizan Juahir

  • Hyperspectral imagery for mapping disease infection in oil palm plantation using vegetation indices and red edge techniques.

    Helmi Zulhaidi Mohd Shafri;Nasrulhapiza Hamdan

  • A review on hyperspectral remote sensing for homogeneous and heterogeneous forest biodiversity assessment

    Azadeh Ghiyamat;Helmi Z. M. Shafri

  • Young and mature oil palm tree detection and counting using convolutional neural network deep learning method

    Nurulain Abd Mubin;Eiswary Nadarajoo;Helmi Zulhaidi Mohd Shafri;Alireza Hamedianfar

  • Oil palm fruit bunch grading system using red, green and blue digital number.

    Meftah Salem M. Alfatni;Abdul Rashid Mohamed Shariff;Helmi Zulhaidi Mohd Shafri;Osama M. Ben Saaed

  • Image Classification in Remote Sensing

    Jwan Al-doski;Shattri B. Mansor;Helmi Zulhaidi Mohd Shafri

  • Data Fusion Technique Using Wavelet Transform and Taguchi Methods for Automatic Landslide Detection From Airborne Laser Scanning Data and QuickBird Satellite Imagery

    Biswajeet Pradhan;Mustafa Neamah Jebur;Helmi Zulhaidi Mohd Shafri;Mahyat Shafapour Tehrany

  • Early detection of basal stem rot disease Ganoderma in oil palms based on hyperspectral reflectance data using pattern recognition algorithms

    Shohreh Liaghat;Reza Ehsani;Shattri Mansor;Helmi Z. M. Shafri

  • Spatio-temporal analysis of urban growth from remote sensing data in Bandar Abbas city, Iran

    Mohsen Dadras;Mohsen Dadras;Helmi Z.M. Shafri;Noordin Ahmad;Biswajeet Pradhan

  • Classification of oil palm fresh fruit bunches based on their maturity using portable four-band sensor system

    Osama Mohammed Ben Saeed;Sindhuja Sankaran;Abdul Rashid Mohamed Shariff;Helmi Zulhaidi Mohd Shafri

  • Spectral discrimination of healthy and Ganoderma-infected oil palms from hyperspectral data

    Helmi Z. M. Shafri;Mohd I. Anuar;Idris A. Seman;Nisfariza M. Noor

  • An analysis of LULC change detection using remotely sensed data; A Case study of Bauchi City

    Unknown

  • Hyperspectral Remote Sensing of Vegetation Using Red Edge Position Techniques

    Helmi Zulhaidi Mohd Shafri;Mohamad Amran Mohd Salleh;Azadeh Ghiyamat

  • NDVI Differencing and Post-classification to Detect Vegetation Changes in Halabja City, Iraq.

    Shattri Mansor;Helmi Zulhaidi Mohd Shafri;Jwan Al-doski

  • Optimized Neural Architecture for Automatic Landslide Detection from High‐Resolution Airborne Laser Scanning Data

    Mustafa Ridha Mezaal;Biswajeet Pradhan;Maher Ibrahim Sameen;Helmi Zulhaidi Mohd Shafri

  • Semi-automatic detection and counting of oil palm trees from high spatial resolution airborne imagery

    Helmi Z. M. Shafri;Nasrulhapiza Hamdan;M. Iqbal Saripan

  • Hyperspectral discrimination of tree species with different classifications using single- and multiple-endmember

    Azadeh Ghiyamat;Helmi Zulhaidi Mohd Shafri;Ghafour Amouzad Mahdiraji;Abdul Rashid Mohamed Shariff

  • Per-pixel and object-oriented classification methods for mapping urban land cover extraction using SPOT 5 imagery

    Mustafa Neamah Jebur;Helmi Zulhaidi Mohd Shafri;Biswajeet Pradhan;Mahyat Shafapour Tehrany

  • Drone-based land-cover mapping using a fuzzy unordered rule induction algorithm integrated into object-based image analysis

    Bahareh Kalantar;Shattri Bin Mansor;Maher Ibrahim Sameen;Biswajeet Pradhan

  • Improving detailed rule-based feature extraction of urban areas from WorldView-2 image and lidar data

    Alireza Hamedianfar;Helmi Zulhaidi Mohd Shafri;Shattri Mansor;Noordin Ahmad

Frequent Co-Authors

Biswajeet Pradhan
Biswajeet Pradhan University of Technology Sydney
Hafizan Juahir
Hafizan Juahir Sultan Zainal Abidin University
Alex M. Lechner
Alex M. Lechner Monash University
Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University

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