Improved Cropland Abandonment Detection with Deep Learning Vision Transformer (DL-ViT) and Multiple Vegetation Indices

Improved Cropland Abandonment Detection with Deep Learning Vision Transformer (DL-ViT) and Multiple Vegetation Indices

Cropland abandonment is a worldwide problem that threatens food security and has significant consequences for the sustainable growth of the economy, society, and the natural ecosystem. However, detecting and mapping abandoned lands is challenging due to their diverse characteristics, like varying ve...

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Bibliographic Details
Main Authors: Mannan Karim, Jiqiu Deng, Muhammad Ayoub, Wuzhou Dong, Baoyi Zhang, Muhammad Shahzad Yousaf, Yasir Ali Bhutto, Muhammad Ishfaque
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Land
Subjects:
cropland abandonment
vegetation indices (VIs)
Vision Transformer (ViT)
roadside greenways
Gaofen-6 (GF-6)
excavation
Online Access:https://www.mdpi.com/2073-445X/12/10/1926

Internet

https://www.mdpi.com/2073-445X/12/10/1926

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