Chunya et al. (2025) The application of remote sensing technology in high-yield farmland: A review

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: SHILAP Revista de lepidopterología
• Year: 2025
• Date: 2025-12-01
• Authors: MA Chunya, FAN Yongshen, CAO Hua, ZHAN Wei, CAO Yinbo, LI Peng
• DOI: 10.13522/j.cnki.ggps.2025099

Research Groups

Not explicitly mentioned in the paper, as this is a review synthesizing existing literature.

Short Summary

This paper reviews the current applications of remote sensing in high-standard farmland construction across its planning, construction, and monitoring stages, identifying key advantages, limitations, and future development directions.

Objective

• To review the current applications, advantages, limitations, and future development of remote sensing in high-standard farmland construction.

Study Configuration

• Spatial Scale: Global (worldwide) and regional (China), focusing on farmland areas.
• Temporal Scale: Not explicitly defined, but covers current and historical applications of remote sensing in high-standard farmland construction, leading to future development.

Methodology and Data

• Models used: Not applicable, as this is a review paper synthesizing existing literature on remote sensing applications rather than applying specific models.
• Data sources: Technical reports and policy documents related to remote sensing applications in high-standard farmland construction, analyzed from both Chinese and global contexts.

Main Results

• Remote sensing (RS) applications in high-standard farmland (HSF) construction are categorized into three stages:
  • Planning and Design: Multi-source RS data aids in HSF site selection and optimization of irrigation/drainage systems, road networks, and other key infrastructures.
  • Construction: RS enables a three-tier dynamic monitoring system for real-time tracking of construction progress and quality.
  • Monitoring and Evaluation: RS facilitates the assessment of soil quality, production capacity, and ecological benefits of HSF.
• Despite its advantages, RS faces challenges in HSF applications, particularly in multi-source data fusion, efficient processing, and improving the accuracy and credibility of intelligent interpretation of HSF-related information.

Contributions

• Provides a comprehensive synthesis of remote sensing applications across the entire lifecycle of high-standard farmland construction.
• Identifies the key advantages, current limitations, and future development directions for remote sensing in this domain.
• Offers a structured overview of how remote sensing contributes to optimizing HSF planning, management, and evaluation.

Funding

Not mentioned in the paper.

Citation

@article{Chunya2025application,
  author = {Chunya, MA and Yongshen, FAN and Hua, CAO and Wei, ZHAN and Yinbo, CAO and Peng, LI},
  title = {The application of remote sensing technology in high-yield farmland: A review},
  journal = {SHILAP Revista de lepidopterología},
  year = {2025},
  doi = {10.13522/j.cnki.ggps.2025099},
  url = {https://doi.org/10.13522/j.cnki.ggps.2025099}
}