This study takes the Shanghai urban forest as the research object; uses two kinds of remote sensing data, Landsat 8 OLI and Sentinel-2, as the data sources; and ...

Dec 16, 2023 · The study shows that both machine learning models based on separate Landsat 8 OLI and Sentinel-2 satellite remote sensing data can ...

... Landsat 8 and Sentinel-2: A Case Study of Shanghai, China. https://doi.org ... The study shows that both machine learning models based on separate Landsat 8 ...

Studies in the Area of Machine Learning Reported from Zhejiang A&F University (Prediction of Urban Forest Aboveground Carbon Using Machine Learning Based on ...

Geospatial data with Machine learning algorithms can accurately predict urban forest aboveground biomass and carbon in arid region.

This study presents a comprehensive analysis of the capability of machine learning techniques in estimating the static liquefaction of sands containing plastic ...

“Prediction of Urban Forest Aboveground Carbon Using Machine Learning Based on Landsat 8 and Sentinel-2: A Case Study of Shanghai, China.” Remote Sensing 15 ...

Jul 16, 2024 · Prediction of Urban Forest Aboveground Carbon Using Machine Learning Based on Landsat 8 and Sentinel-2: A Case Study of Shanghai, China.

Two-step carbon storage estimation in urban human settlements using airborne LiDAR and Sentinel-2 data based on machine learning. Yeonsu Lee, Bokyung Son ...

Mar 3, 2024 · Prediction of Urban Forest Aboveground Carbon Using Machine Learning Based on Landsat 8 and Sentinel-2: A Case Study of Shanghai, China.