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 ...

May 10, 2024 · ... 8 and Sentinel-2: A Case Study of Shanghai, China). Citation ... forests is an important indicator reflecting the ecological function of urban ...

Apr 25, 2024 · Prediction of Urban Forest Aboveground Carbon Using Machine Learning Based on Landsat 8 and Sentinel-2: A Case Study of Shanghai, China.

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

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

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

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

To comprehend carbon stock and sequestration, forest degradation, and climate change mitigation, precise calculation biomass is needed. The present study in ...

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