Extraction of abandoned land in Zhaotong City based on Landsat8 remote sensing image

Chunxiao Xu; Jiasheng Wang

doi:10.1117/12.2667311

10 February 2023 Extraction of abandoned land in Zhaotong City based on Landsat8 remote sensing image

Chunxiao Xu, Jiasheng Wang

Proceedings Volume 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022); 125522I (2023) https://doi.org/10.1117/12.2667311
Event: International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 2022, Kunming, China

Abstract

This paper used the method of extracting abandoned land after classification of land use types to study the abandoned land situation in Zhaotong City from 2013 to 2019. Firstly, random forest classifier was used to classify the land use types of Zhaotong City from 2013 to 2021 through the collected sample point data of various land use types and Landsat8 remote sensing image data, and good accuracy was achieved. Then, according to the definition of abandoned land in this study (farmland that has stopped farming for more than one year is considered as abandoned land), the abandoned land map of Zhaotong City from 2013 to 2019 was obtained by comparing the land use type maps of the previous years. Finally, the abandonment situation of Zhaotong City is discussed based on the results of field investigation.

Citation Download Citation

Chunxiao Xu and Jiasheng Wang "Extraction of abandoned land in Zhaotong City based on Landsat8 remote sensing image", Proc. SPIE 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 125522I (10 February 2023); https://doi.org/10.1117/12.2667311

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