Exploring the Level of Agricultural Development Using Greenhouse Mapping: A Case Study of Shandong Province, China

IF 5.3 2区地球科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Pub Date : 2025-01-17 DOI:10.1109/JSTARS.2025.3531107

Linye Zhu;Wenbin Sun;Deqin Fan;Huaqiao Xing;Haibo Ban

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Abstract

Greenhouse is a unique form of land use that plays a crucial role in agricultural production. Accurately mapping the spatial distribution of greenhouses and accurately evaluating the level of regional agricultural development are of great significance in promoting the sustainable development of agriculture and guaranteeing national food security. In this study, the Google Earth Engine platform is used to obtain the spectral features, index features, and texture features of time-series Sentinel-1 data and Sentinel-2 data to generate the greenhouse spatial distribution maps of Shandong Province from 2019 to 2022. On this basis, a greenhouse-based agricultural development-level index is proposed for expressing and exploring the regional agricultural development level. The results of the study show that the overall accuracy of the greenhouse result map of Shandong Province is above 93%, providing a reliable foundation for subsequent analyses. Moreover, the proposed greenhouse-based agricultural development-level index, derived from greenhouse distribution data, closely aligns with the existing statistical information, effectively reflecting the regional agricultural development level.

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利用温室制图技术探索农业发展水平——以山东省为例

温室是一种独特的土地利用形式，在农业生产中起着至关重要的作用。准确绘制大棚空间分布图，准确评价区域农业发展水平，对促进农业可持续发展，保障国家粮食安全具有重要意义。本研究利用谷歌Earth Engine平台获取Sentinel-1和Sentinel-2时间序列数据的光谱特征、指数特征和纹理特征，生成山东省2019 - 2022年温室空间分布图。在此基础上，提出了以温室为基础的农业发展水平指数，用以表达和探讨区域农业发展水平。研究结果表明，山东省温室成果图总体精度在93%以上，为后续分析提供了可靠的依据。此外，本文提出的基于温室分布数据的农业发展水平指数与现有统计信息紧密吻合，能有效反映区域农业发展水平。

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来源期刊

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 地学-成像科学与照相技术

CiteScore

9.30

自引率

10.90%

发文量

563

审稿时长

4.7 months

期刊介绍： The IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing addresses the growing field of applications in Earth observations and remote sensing, and also provides a venue for the rapidly expanding special issues that are being sponsored by the IEEE Geosciences and Remote Sensing Society. The journal draws upon the experience of the highly successful “IEEE Transactions on Geoscience and Remote Sensing” and provide a complementary medium for the wide range of topics in applied earth observations. The ‘Applications’ areas encompasses the societal benefit areas of the Global Earth Observations Systems of Systems (GEOSS) program. Through deliberations over two years, ministers from 50 countries agreed to identify nine areas where Earth observation could positively impact the quality of life and health of their respective countries. Some of these are areas not traditionally addressed in the IEEE context. These include biodiversity, health and climate. Yet it is the skill sets of IEEE members, in areas such as observations, communications, computers, signal processing, standards and ocean engineering, that form the technical underpinnings of GEOSS. Thus, the Journal attracts a broad range of interests that serves both present members in new ways and expands the IEEE visibility into new areas.