Advancing wetland aboveground biomass mapping: Insights from high-resolution PlanetScope data in the Mississippi River Delta
Mohammadali Hemati(Memorial University of Newfoundland), Jianghua Wu(Memorial University of Newfoundland), Masoud Mahdianpari(Memorial University of Newfoundland), Hodjat Shiri(Memorial University of Newfoundland), Bahram Salehi(State University of New York), Fariba Mohammadimanesh(Centre For Cold Ocean Resources Engineering)
Cited by 1
Related Papers
A Systematic Review of Landsat Data for Change Detection Applications: 50 Years of Monitoring the Earth
|Remote Sensing|2021|228
Beyond Supervised Learning in Remote Sensing: A Systematic Review of Deep Learning Approaches
|IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing|2023|50
Integrating SAR and Optical Data for Aboveground Biomass Estimation of Coastal Wetlands Using Machine Learning: Multi-Scale Approach
|Remote Sensing|2024|30
Urban methane emission monitoring across North America using TROPOMI data: an analytical inversion approach
|Scientific Reports|2024|22
Iranian wetland inventory map at a spatial resolution of 10 m using Sentinel-1 and Sentinel-2 data on the Google Earth Engine cloud computing platform
|Environmental Monitoring and Assessment|2023|18