Dr. Mohd Nazip Suratman is a Professor of Forestry at the Faculty of Applied Sciences and a Principal Fellow at the Institute for Biodiversity and Sustainable Development, Universiti Teknologi MARA (UiTM), Malaysia, He earned a B. Sc in Forestry from Universiti Putra Malaysia (UPM) and an M.S from the University of Nebraska-Lincoln (UNL), USA. He was then honoured with a prestigious fellowship from the Canadian Commonwealth to pursue a Ph.D. degree at the University of British Columbia (UBC), Canada, where he worked on the application of remote sensing for sustainable forest management. He has been involved in numerous collaborative international research projects that led to publications in reputable journals. Altogether, he has published a total of 15 books and more than 200 research publications. His research interests cover several aspects across forestry, mainly on forest modelling, forest ecology and biodiversity. He received the UiTM’s Best Researcher and Top Talent Awards in 2015 and 2021, respectively. He served as the Deputy Vice-Chancellor (Research and Innovation) from 2018 to 2021.

• 1. Remote Sensing for Forest Inventory and Resources Assessment.- 2. Multiple Sensors and Platforms for Biophysical and Biochemical Characterizations of Various Ecosystem Types of Tropical Forests in Malaysia: Advance, Limitation and Opportunity.- 3. A Review on the Use of LiDAR Remote Sensing for Forest Landscape Restoration.- 4. Assessment and Modeling of Forest Biomass and Carbon Stock and Sequestration using Various Remote Sensing Sensor Systems.- 5. Spatial Modeling of Transport and Resources Accessibility for Protecting Forest Ecosystems Against Forest Fires.- 6. Assessment of Forest Aboveground Biomass Estimation from Superview-1 Satellite Image using Machine Learning Approaches.- 7. Floristic Distribution Modelling for Resource Partitioning of Four Native Tree Species in Azad Jammu and Kashmir (AJK), Pakistan using Maxent.- 8. Application of Remote Sensing Vegetation Indices for Forest Cover Assessments.- 9. Rainforest Assessment in Brunei Darussalam through Application of Remote Sensing.- 10. Rubber Trees and Biomass Estimation Using Remote Sensing Technology.- 11. The Use of Landsat TM Imagery for the Application of Rubber Tree Area and Stand Volume Predictive Models in Rubber Plantations in Selangor, Malaysia.- 12. Using Historical Disturbance Identified with LandTrendr in Google Earth Engine for Land Cover Mapping of Oil Palm Landscapes.- 13. Geospatial Technology - Unlocking the Management and Monitoring in Malaysian Mangrove Forests.- 14. Effect of Tidal Regime, Relative Sea Level and Wind Intensity on Changes of Mangrove Area using Remote Sensing Approach.- 15. Spatio-temporal Distribution of Mangrove at Kuala Sepetang Forest Reserve, Malaysia using Remotely-sensed Data.- 16. Determination of The Effect of Urban Forests and Other Green Areas on Surface Temperature in Antalya.- 17. Conceptualising the Citizen-Driven Urban Forest Framework to Improve Local Climate Condition: Geospatial Data Fusion and Numerical Simulation.- 18. State-of-the-Art on Airborne LiDAR Applications in the Field of Forest Engineering.- 19. Restoration of Damaged Forest and Roles of Remote Sensing.- 20. Recent Advances in UAV-based Structure-from-motion Photogrammetry for Aboveground Biomass and Carbon Storage Estimations in Forestry.- 21. Hyperspectral Identification of Selected Dipterocarp Montane at the Species Level.- 22. Tree Biophysical Parameters Retrieval from Multi-source Remote Sensing Data Fusion.

Dr. Mohd Nazip Suratman is a Professor of Forestry at the Faculty of Applied Sciences and a Principal Fellow at the Institute for Biodiversity and Sustainable Development, Universiti Teknologi MARA (UiTM), Malaysia, He earned a B. Sc in Forestry from Universiti Putra Malaysia (UPM) and an M.S from the University of Nebraska-Lincoln (UNL), USA. He was then honoured with a prestigious fellowship from the Canadian Commonwealth to pursue a Ph.D. degree at the University of British Columbia (UBC), Canada, where he worked on the application of remote sensing for sustainable forest management. He has been involved in numerous collaborative international research projects that led to publications in reputable journals. Altogether, he has published a total of 15 books and more than 200 research publications. His research interests cover several aspects across forestry, mainly on forest modelling, forest ecology and biodiversity. He received the UiTM’s Best Researcher and Top Talent Awards in 2015 and 2021, respectively. He served as the Deputy Vice-Chancellor (Research and Innovation) from 2018 to 2021.

• 1. Remote Sensing for Forest Inventory and Resources Assessment.- 2. Multiple Sensors and Platforms for Biophysical and Biochemical Characterizations of Various Ecosystem Types of Tropical Forests in Malaysia: Advance, Limitation and Opportunity.- 3. A Review on the Use of LiDAR Remote Sensing for Forest Landscape Restoration.- 4. Assessment and Modeling of Forest Biomass and Carbon Stock and Sequestration using Various Remote Sensing Sensor Systems.- 5. Spatial Modeling of Transport and Resources Accessibility for Protecting Forest Ecosystems Against Forest Fires.- 6. Assessment of Forest Aboveground Biomass Estimation from Superview-1 Satellite Image using Machine Learning Approaches.- 7. Floristic Distribution Modelling for Resource Partitioning of Four Native Tree Species in Azad Jammu and Kashmir (AJK), Pakistan using Maxent.- 8. Application of Remote Sensing Vegetation Indices for Forest Cover Assessments.- 9. Rainforest Assessment in Brunei Darussalam through Application of Remote Sensing.- 10. Rubber Trees and Biomass Estimation Using Remote Sensing Technology.- 11. The Use of Landsat TM Imagery for the Application of Rubber Tree Area and Stand Volume Predictive Models in Rubber Plantations in Selangor, Malaysia.- 12. Using Historical Disturbance Identified with LandTrendr in Google Earth Engine for Land Cover Mapping of Oil Palm Landscapes.- 13. Geospatial Technology - Unlocking the Management and Monitoring in Malaysian Mangrove Forests.- 14. Effect of Tidal Regime, Relative Sea Level and Wind Intensity on Changes of Mangrove Area using Remote Sensing Approach.- 15. Spatio-temporal Distribution of Mangrove at Kuala Sepetang Forest Reserve, Malaysia using Remotely-sensed Data.- 16. Determination of The Effect of Urban Forests and Other Green Areas on Surface Temperature in Antalya.- 17. Conceptualising the Citizen-Driven Urban Forest Framework to Improve Local Climate Condition: Geospatial Data Fusion and Numerical Simulation.- 18. State-of-the-Art on Airborne LiDAR Applications in the Field of Forest Engineering.- 19. Restoration of Damaged Forest and Roles of Remote Sensing.- 20. Recent Advances in UAV-based Structure-from-motion Photogrammetry for Aboveground Biomass and Carbon Storage Estimations in Forestry.- 21. Hyperspectral Identification of Selected Dipterocarp Montane at the Species Level.- 22. Tree Biophysical Parameters Retrieval from Multi-source Remote Sensing Data Fusion.

Dr. Mohd Nazip Suratman is a Professor of Forestry at the Faculty of Applied Sciences and a Principal Fellow at the Institute for Biodiversity and Sustainable Development, Universiti Teknologi MARA (UiTM), Malaysia, He earned a B. Sc in Forestry from Universiti Putra Malaysia (UPM) and an M.S from the University of Nebraska-Lincoln (UNL), USA. He was then honoured with a prestigious fellowship from the Canadian Commonwealth to pursue a Ph.D. degree at the University of British Columbia (UBC), Canada, where he worked on the application of remote sensing for sustainable forest management. He has been involved in numerous collaborative international research projects that led to publications in reputable journals. Altogether, he has published a total of 15 books and more than 200 research publications. His research interests cover several aspects across forestry, mainly on forest modelling, forest ecology and biodiversity. He received the UiTM’s Best Researcher and Top Talent Awards in 2015 and 2021, respectively. He served as the Deputy Vice-Chancellor (Research and Innovation) from 2018 to 2021.

• 1. Remote Sensing for Forest Inventory and Resources Assessment.- 2. Multiple Sensors and Platforms for Biophysical and Biochemical Characterizations of Various Ecosystem Types of Tropical Forests in Malaysia: Advance, Limitation and Opportunity.- 3. A Review on the Use of LiDAR Remote Sensing for Forest Landscape Restoration.- 4. Assessment and Modeling of Forest Biomass and Carbon Stock and Sequestration using Various Remote Sensing Sensor Systems.- 5. Spatial Modeling of Transport and Resources Accessibility for Protecting Forest Ecosystems Against Forest Fires.- 6. Assessment of Forest Aboveground Biomass Estimation from Superview-1 Satellite Image using Machine Learning Approaches.- 7. Floristic Distribution Modelling for Resource Partitioning of Four Native Tree Species in Azad Jammu and Kashmir (AJK), Pakistan using Maxent.- 8. Application of Remote Sensing Vegetation Indices for Forest Cover Assessments.- 9. Rainforest Assessment in Brunei Darussalam through Application of Remote Sensing.- 10. Rubber Trees and Biomass Estimation Using Remote Sensing Technology.- 11. The Use of Landsat TM Imagery for the Application of Rubber Tree Area and Stand Volume Predictive Models in Rubber Plantations in Selangor, Malaysia.- 12. Using Historical Disturbance Identified with LandTrendr in Google Earth Engine for Land Cover Mapping of Oil Palm Landscapes.- 13. Geospatial Technology - Unlocking the Management and Monitoring in Malaysian Mangrove Forests.- 14. Effect of Tidal Regime, Relative Sea Level and Wind Intensity on Changes of Mangrove Area using Remote Sensing Approach.- 15. Spatio-temporal Distribution of Mangrove at Kuala Sepetang Forest Reserve, Malaysia using Remotely-sensed Data.- 16. Determination of The Effect of Urban Forests and Other Green Areas on Surface Temperature in Antalya.- 17. Conceptualising the Citizen-Driven Urban Forest Framework to Improve Local Climate Condition: Geospatial Data Fusion and Numerical Simulation.- 18. State-of-the-Art on Airborne LiDAR Applications in the Field of Forest Engineering.- 19. Restoration of Damaged Forest and Roles of Remote Sensing.- 20. Recent Advances in UAV-based Structure-from-motion Photogrammetry for Aboveground Biomass and Carbon Storage Estimations in Forestry.- 21. Hyperspectral Identification of Selected Dipterocarp Montane at the Species Level.- 22. Tree Biophysical Parameters Retrieval from Multi-source Remote Sensing Data Fusion.