Carbon emission estimation of land cover change in Shenyang city based on remote sensing image

Bo Peng; Ziqiang Jin; Zhiwei Xie

doi:10.1117/12.3035724

10 July 2024 Carbon emission estimation of land cover change in Shenyang city based on remote sensing image

Bo Peng, Ziqiang Jin, Zhiwei Xie

Proceedings Volume 13223, Fifth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2024); 132230D (2024) https://doi.org/10.1117/12.3035724
Event: 2024 5th International Conference on Geology, Mapping and Remote Sensing (ICGMRS 2024), 2024, Wuhan, China

Abstract

With the continuous behavior of human beings, the use and protection of soil have undergone tremendous changes ( Land Use and Land Cover Change, LUCC ), which has led to the diversity of the spatial structure of the earth and its surrounding environment. In order to understand the impact mechanism of land use change on carbon balance and explore how to reduce carbon emission through effective land use strategies, research on carbon emission estimation caused by LUCC change has been conducted. In order to estimate the carbon emissions caused by LUCC changes in Shenyang city, this paper carries out land use classification based on support vector machine classification in PIE remote sensing cloud platform, analyzes land use changes using GIS platform, and calculates the carbon emissions caused by land cover changes in Shenyang city through carbon emission modeling. During the period of 2000 to 2020, the terrestrial ecosystems of Shenyang city lost carbon stocks of about 2.8×106t of carbon. Therefore, for cities like Shenyang, effective land use strategies are needed to reduce carbon emissions and protect the health of surrounding ecosystems.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Bo Peng, Ziqiang Jin, and Zhiwei Xie "Carbon emission estimation of land cover change in Shenyang city based on remote sensing image", Proc. SPIE 13223, Fifth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2024), 132230D (10 July 2024); https://doi.org/10.1117/12.3035724

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available