Next Article in Journal
Entrepreneurial Judgment and Value Capture, the Case of the Nascent Offshore Renewable Industry
Next Article in Special Issue
Comparing Potential Unstable Sites and Stable Sites on Revegetated Cut-Slopes of Mountainous Terrain in Korea
Previous Article in Journal
Multi-Agent Modeling and Simulation of Farmland Use Change in a Farming–Pastoral Zone: A Case Study of Qianjingou Town in Inner Mongolia, China
Previous Article in Special Issue
Effects of Land Use and Slope Gradient on Soil Erosion in a Red Soil Hilly Watershed of Southern China
Article Menu

Export Article

Open AccessArticle
Sustainability 2015, 7(11), 14834-14858;

Monitoring Cropland Dynamics of the Yellow River Delta based on Multi-Temporal Landsat Imagery over 1986 to 2015

State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, No. 20 Datun Road, Chaoyang District, Beijing 100101, China
Zhejiang-CAS Application Center for Geoinformatics, No. 568 Jinyang East Road, Jiashan 314100, China
Author to whom correspondence should be addressed.
Academic Editors: Eric Vaz and Jamal Jokar Arsanjani
Received: 6 August 2015 / Revised: 30 October 2015 / Accepted: 2 November 2015 / Published: 6 November 2015
Full-Text   |   PDF [11206 KB, uploaded 6 November 2015]   |  


Natural deltas can provide human beings with flat and fertile land to be cultivated. It is important to monitor cropland dynamics to provide policy-relevant information for regional sustainable development. This paper utilized Landsat imagery to study the cropland dynamics of the Yellow River Delta during the last three decades. Multi-temporal Landsat data were used to account for the phenological variations of different plants. Several spectral and textural features were adopted to increase the between-class separability. The robust random forest classifier was used to generate the land cover maps of the Yellow River Delta for 1986, 1995, 2005 and 2015. Experimental results indicated that the proposed methodology showed good performance with an average classification accuracy of 89.44%. The spatial-temporal analysis indicated that the cropland area increased from 467.6 km2 in 1986 to 718.5 km2 in 2015 with an average growth rate of 8.65 km2/year. The newly created croplands were mainly due to the reclamation of grassland and bare soil while the losses of croplands were due to abandoned cultivation and urban sprawl. The results demonstrate that a sustainable perspective should be adopted by the decision makers in order to simultaneously maintain food security, industrial development and ecosystem safety. View Full-Text
Keywords: cropland; the Yellow River Delta; multi-temporal; random forest; landsat cropland; the Yellow River Delta; multi-temporal; random forest; landsat

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Feng, Q.; Gong, J.; Liu, J.; Li, Y. Monitoring Cropland Dynamics of the Yellow River Delta based on Multi-Temporal Landsat Imagery over 1986 to 2015. Sustainability 2015, 7, 14834-14858.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top