Work

A modified spectral remote sensing index to map plastic greenhouses in fragmented terrains

Year: 2025

Type: article

Abstract: Plastic greenhouse (PG), as a new type of modern agricultural measure, has been used widely due to its significant benefits for agricultural production. However, it also raises concerns about its potential environmental impact. Timely monitoring of PG is necessary for the agricultural sustainability. However, extracting PGs in fragmented terrains based on remote sensing images is difficult due to the variety of types of PGs and high environmental heterogeneity. In this study, a modified plastic greenhouse index (MPGI) was proposed to monitor PG based on the differences on spectral signatures using Landsat-8 Operational Land Imager. Four study sites, including Weifang (China), Nantong (China), Kunming (China), and Dalat (Vietnam), were selected for index applications. And the effectiveness and robustness of the MPGI were examined by comparing with the exiting PG indices. The results indicated that MPGI improved extraction accuracy in fragmented terrains. The F1 score was 85.7%-87.9% in four sites. The MPGI demonstrated its capability across various season and datasets, highlighting it had the potential for the PGs mapping in heterogeneous regions. This index provides solutions of farm management and supports the development of smart agriculture.

Source: Smart Agricultural Technology

DOI: 10.1016/j.atech.2025.100904

Authors: Shanshan Chen, Yijia Chen, Song Gao, Chun Li, Ninglv Li, Liding Chen