Spatial and Temporal Evolution of Carbon Sink in the Three North Forest Region Based on Remote Sensing Date

Chengxuan Jiang

2024

Abstract

The investigation is to estimate the region carbon sink in the three North areas in different time periods by integrating forest data maps, and to further evaluate the outstanding contribution of the Three North Shelterbelt project to forest carbon sink in recent years. The casa model is the foundation of research, using primary quality productivity (NPP), which has a clear quantified index of forest carbon sink, to evaluate the relationship between modern terrestrial sink for carbon and forest vegetation cover in research region. Multiple sources of historical and existing land use, including publicly available high-resolution satellite images and remote sensing products, statistical data from various organizations we concordance and use. Based on the 16dMODIS data, we obtained the spatio-temporal date set and distribution of carbon sink in the three northern shelterbelts in 2006, the NPP of the three north region range from 0 to 877.184 gC/ (m2·a), and the vegetation coverage rate range from 0 to 80%.

Paper Citation

in Harvard Style

Jiang C. (2024). Spatial and Temporal Evolution of Carbon Sink in the Three North Forest Region Based on Remote Sensing Date. In Proceedings of the 1st International Conference on Innovations in Applied Mathematics, Physics and Astronomy - Volume 1: IAMPA; ISBN 978-989-758-722-1, SciTePress, pages 223-227. DOI: 10.5220/0013042700004601

in Bibtex Style

@conference{iampa24,
author={Chengxuan Jiang},
title={Spatial and Temporal Evolution of Carbon Sink in the Three North Forest Region Based on Remote Sensing Date},
booktitle={Proceedings of the 1st International Conference on Innovations in Applied Mathematics, Physics and Astronomy - Volume 1: IAMPA},
year={2024},
pages={223-227},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013042700004601},
isbn={978-989-758-722-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Innovations in Applied Mathematics, Physics and Astronomy - Volume 1: IAMPA
TI - Spatial and Temporal Evolution of Carbon Sink in the Three North Forest Region Based on Remote Sensing Date
SN - 978-989-758-722-1
AU - Jiang C.
PY - 2024
SP - 223
EP - 227
DO - 10.5220/0013042700004601
PB - SciTePress