Estimation of tree biomass using multisource remote sensing data
Forests serve as crucial carbon sinks, sequestering a significant portion of global terrestrial aboveground biomass and playing a crucial role in the carbon cycle. Similarly, urban greenery acts as a carbon sinks within urban areas, emphasizing the importance of accurately estimating biomass in both...
Saved in:
Main Authors: | G. Jakovljević, M. Tutnjević, M. Govedarica |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2025-07-01
|
Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://isprs-archives.copernicus.org/articles/XLVIII-G-2025/695/2025/isprs-archives-XLVIII-G-2025-695-2025.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Soybean Yield Estimation Using Improved Deep Learning Models With Integrated Multisource and Multitemporal Remote Sensing Data
by: Jian Li, et al.
Published: (2025-01-01) -
Robust County-Level Corn Yield Estimation Using Ensemble Machine Learning and Multisource Remote Sensing
by: Alireza Vafaeinejad, et al.
Published: (2025-01-01) -
Urban ecological environment quality evaluation using deep autoencoder integration of multisource remote sensing data
by: Shengtang Wang, et al.
Published: (2025-12-01) -
Alteration Information Extraction and Mineral Prospectivity Mapping in the Laozhaiwan Area Using Multisource Remote Sensing Data
by: Qi Chen, et al.
Published: (2025-06-01) -
SAU-Net: A Deep Learning Approach for Glacier Mapping Based on Multisource Remote Sensing Data
by: Yang Xiang, et al.
Published: (2025-01-01)