Midhun Mohan

Orcid: 0000-0003-1824-1841

According to our database1, Midhun Mohan authored at least 18 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Current Status of Remote Sensing for Studying the Impacts of Hurricanes on Mangrove Forests in the Coastal United States.
Remote. Sens., October, 2024

Examining the potential and effectiveness of water indices using multispectral sentinel-2 data to detect soil moisture as an indicator of mudflow occurrence in arid regions.
Int. J. Appl. Earth Obs. Geoinformation, 2024

2023
Modeling Carbon Emissions of Post-Selective Logging in the Production Forests of Ulu Jelai, Pahang, Malaysia.
Remote. Sens., February, 2023

Crown-Level Structure and Fuel Load Characterization from Airborne and Terrestrial Laser Scanning in a Longleaf Pine (Pinus palustris Mill.) Forest Ecosystem.
Remote. Sens., February, 2023

UAV Implementations in Urban Planning and Related Sectors of Rapidly Developing Nations: A Review and Future Perspectives for Malaysia.
Remote. Sens., 2023

Climate-Change-Driven Droughts and Tree Mortality: Assessing the Potential of UAV-Derived Early Warning Metrics.
Remote. Sens., 2023

Modeling Crown-Bulk Density from Airborne and Terrestrial Laser Scanning Data in a Longleaf Pine Forest Ecosystem.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Integrating Spaceborne Lidar Nasa's Gedi With Imaging Sensors To Map Aboveground Biomass In Fragmented Tropical Forests.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Analyzing Canopy Height Patterns and Environmental Landscape Drivers in Tropical Forests Using NASA's GEDI Spaceborne LiDAR.
Remote. Sens., 2022

2021
Remotely Sensed Tree Characterization in Urban Areas: A Review.
Remote. Sens., 2021

Towards Amazon Forest Restoration: Automatic Detection of Species from UAV Imagery.
Remote. Sens., 2021

UAV-Supported Forest Regeneration: Current Trends, Challenges and Implications.
Remote. Sens., 2021

2020
Combined Impact of Sample Size and Modeling Approaches for Predicting Stem Volume in Eucalyptus spp. Forest Plantations Using Field and LiDAR Data.
Remote. Sens., 2020

Comparison of Statistical Modelling Approaches for Estimating Tropical Forest Aboveground Biomass Stock and Reporting Their Changes in Low-Intensity Logging Areas Using Multi-Temporal LiDAR Data.
Remote. Sens., 2020

Individual Tree Attribute Estimation and Uniformity Assessment in Fast-Growing Eucalyptus spp. Forest Plantations Using Lidar and Linear Mixed-Effects Models.
Remote. Sens., 2020

Estimating Stem Volume in Eucalyptus Plantations Using Airborne LiDAR: A Comparison of Area- and Individual Tree-Based Approaches.
Remote. Sens., 2020

Measuring Individual Tree Diameter and Height Using GatorEye High-Density UAV-Lidar in an Integrated Crop-Livestock-Forest System.
Remote. Sens., 2020

Forest inventory with high-density UAV-Lidar: Machine learning approaches for predicting individual tree attributes.
Comput. Electron. Agric., 2020


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