Next Article in Journal
Out-of-Distribution Knowledge Inference-Based Approach for SAR Imagery Open-Set Recognition
Previous Article in Journal
From Depletion to Recovery: Tracking Water Storage Changes in the Semiarid Region of Inner Mongolia, China
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Remote Sensing
Volume 17
Issue 22
10.3390/rs17223667
remotesensing-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Estimation of the Relationship Between Urban Landscape Pattern and Crop Yield by Remote Sensing Data and Field Measurement

by
Fanyue Meng
1,2,
Zhibin Ren
1,2,3,*,
Peng Zhang
2,3,
Chengcong Wang
2,3,
Shengyang Hong
2,
Ruoxuan Geng
2,4,
Wenhai Hong
2,3,
Xinyu Wang
2,3,
Baosen Huang
2,5,
Boyang Zhang
2,3 and
Yufeng Bai
1
1
College of Geographical Science and Tourism, Jilin Normal University, Siping 136000, China
2
Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
3
University of Chinese Academy of Sciences, Beijing 100049, China
4
College of Landscape Architecture, Changchun University, Changchun 130022, China
5
College of Horticulture and Landscape Architecture, Heilongjiang Bayi Agricultural University, Daqing 163319, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2025, 17(22), 3667; https://doi.org/10.3390/rs17223667
Submission received: 29 September 2025 / Revised: 29 October 2025 / Accepted: 6 November 2025 / Published: 7 November 2025
(This article belongs to the Section Urban Remote Sensing)
Browse Figures
Versions Notes

Abstract

Exploring how urban landscape patterns and diversity affect crop yields is critical for landscape optimization to increase food production under rapid urbanization. In this study, we used Landsat remote sensing data combined with field-measured crop yields to map the spatial distribution of yields in suburban Changchun, Northeast China, and to examine their relationships with urban landscape patterns and diversity indices. Our results showed that the urban landscape composition, such as impervious surface areas (ISA) or forest coverage, significantly affected crop yield, and the suburban crop yield decreased consistently with increasing impervious surface and decreasing forest coverage (p < 0.001). Additionally, crop yield exhibited a nonlinear increase as impervious surface edge density (ED_ISA) decreased, with a threshold identified at 200 m/ha. We also identified that the driving mechanisms of landscape patterns and diversity on crop yield varied across different levels of urbanization intensities. In the low-urbanization area (ISA coverage < 50%), the crop yield was mainly affected by the composition and pattern of the surrounding landscape, such as ISA or forest coverage, patch and edge density, and the largest patch index; In the medium-urbanization area (50% ≤ ISA coverage ≤ 80%), landscape diversity played a dominant role and had a strong positive effect on crop yield. In the heavy-urbanization area (ISA coverage > 80%), crop yield was mainly affected by indicators of the farmland itself, such as coverage, edge density, and the largest cropland patch index. These findings clarify the relationship between urban landscapes and crop yields, offering new insights into reconciling urban development with food security.
Keywords: urbanization intensity; heterogeneous landscape; landscape diversity; suburban crop yield urbanization intensity; heterogeneous landscape; landscape diversity; suburban crop yield
Graphical Abstract

Share and Cite

MDPI and ACS Style

Meng, F.; Ren, Z.; Zhang, P.; Wang, C.; Hong, S.; Geng, R.; Hong, W.; Wang, X.; Huang, B.; Zhang, B.; et al. Estimation of the Relationship Between Urban Landscape Pattern and Crop Yield by Remote Sensing Data and Field Measurement. Remote Sens. 2025, 17, 3667. https://doi.org/10.3390/rs17223667

AMA Style

Meng F, Ren Z, Zhang P, Wang C, Hong S, Geng R, Hong W, Wang X, Huang B, Zhang B, et al. Estimation of the Relationship Between Urban Landscape Pattern and Crop Yield by Remote Sensing Data and Field Measurement. Remote Sensing. 2025; 17(22):3667. https://doi.org/10.3390/rs17223667

Chicago/Turabian Style

Meng, Fanyue, Zhibin Ren, Peng Zhang, Chengcong Wang, Shengyang Hong, Ruoxuan Geng, Wenhai Hong, Xinyu Wang, Baosen Huang, Boyang Zhang, and et al. 2025. "Estimation of the Relationship Between Urban Landscape Pattern and Crop Yield by Remote Sensing Data and Field Measurement" Remote Sensing 17, no. 22: 3667. https://doi.org/10.3390/rs17223667

APA Style

Meng, F., Ren, Z., Zhang, P., Wang, C., Hong, S., Geng, R., Hong, W., Wang, X., Huang, B., Zhang, B., & Bai, Y. (2025). Estimation of the Relationship Between Urban Landscape Pattern and Crop Yield by Remote Sensing Data and Field Measurement. Remote Sensing, 17(22), 3667. https://doi.org/10.3390/rs17223667

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop