
Muhammad Nouman Khan- Doctor of Engineering. PhD Scholar at Beihang University
- Beihang University
Muhammad Nouman Khan
- Doctor of Engineering. PhD Scholar at Beihang University
- Beihang University
Machine Learning and Remote Sensing for Forest Aboveground Biomass Estimation
About
5
Publications
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Introduction
Current institution
Additional affiliations
September 2020 - present
Education
September 2020 - August 2025
Publications
Publications (5)
Estimating aboveground biomass (AGB) is vital for sustainable forest management and helps to understand the contributions of forests to carbon storage and emission goals. In this study, the effectiveness of plot-level AGB estimation using height and crown diameter derived from UAV-LiDAR, calibration of GEDI-L4A AGB and GEDI-L2A rh98 heights, and sp...
Remote sensing datasets offer robust approaches for gaining reliable insights into forest ecosystems. Despite numerous studies reviewing forest aboveground biomass estimation using remote sensing approaches, a comprehensive synthesis of synergetic integration methods to map and estimate forest AGB is still needed. This article reviews the integrate...
Solar energy shines as a beacon for sustainable development, with rooftop solar photovoltaic (PV) installations
playing a crucial role. This study proposes a novel framework to precisely assess citywide existing solar power
generation and analyze future potential under various rooftop utilization scenarios (10–50 %). To illustrate the
methodology,...
This study used multi-platform remote sensing datasets to assess the impacts of land use and land cover (LULC) change on forest biomass density across the Three Gorges Reservoir (TGR) region along the Yangtze River. This study maps land use and land cover (LULC) change and forest aboveground biomass estimation (AGB) using Sentinel-2A and GEDI-L4B d...