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.
Prediction of Urban Forest Aboveground Carbon Using Machine Learning Based on Landsat 8 and Sentinel-2: A Case Study of Shanghai, China. Remote Sens. 2023 ...
Feb 15, 2022 · Prediction of Urban Forest Aboveground Carbon Using Machine Learning Based on Landsat 8 and Sentinel-2: A Case Study of Shanghai, China.
Abstract. Urban forests are an important part of urban ecosystems. Carbon sequestration in urban forests helps reduce the concentrations of greenhouse.
On this page, we show accepted works from all our workshops on "Tackling Climate Change with Machine Learning." Venue. All Venues ...
MACHINE LEARNING APPLIED TO SENTINEL-2 AND LANDSAT-8 MULTISPECTRAL AND MEDIUM-RESOLUTION SATELLITE IMAGERY FOR THE DETECTION OF RICE PRODUCTION AREAS IN ...
... using texture analysis and machine learning in structurally rich temperate forests ... case study in Shanghai Urban Forestry and Urban Greening 62 127186. Google ...
Jul 24, 2024 · Du, Prediction of urban forest aboveground carbon using machine learning based on landsat 8 and Sentinel-2: a case study of Shanghai, China, Rem ...
Application of Machine-Learning-Based Fusion Model in Visibility Forecast: A Case Study of Shanghai, China. REMOTE SENSING, 13(11), 2096. Mu, LQ; Gomes, HD ...
... Deep Learning Algorithms: A Case Study over Hangzhou Area in China. Tian, Xin ... Moreover, the GaoFen-6 data is slightly worse than Sentinel-2 and Landsat-8 ...