Next Article in Journal
An Improved Aerial Target Localization Method with a Single Vector Sensor
Previous Article in Journal
Circular Regression in a Dual-Phase Lock-In Amplifier for Coherent Detection of Weak Signal
Previous Article in Special Issue
Potential of Sentinel-1 Radar Data for the Assessment of Soil and Cereal Cover Parameters
Article Menu
Issue 11 (November) cover image

Export Article

Open AccessArticle
Sensors 2017, 17(11), 2622; https://doi.org/10.3390/s17112622

Spatial-Temporal Dynamics of Cropping Frequency in Hubei Province over 2001–2015

1
Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province/College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China
2
Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
*
Author to whom correspondence should be addressed.
Received: 15 September 2017 / Revised: 7 November 2017 / Accepted: 9 November 2017 / Published: 14 November 2017
(This article belongs to the Special Issue Sensors and Smart Sensing of Agricultural Land Systems)
View Full-Text   |   Download PDF [9096 KB, uploaded 14 November 2017]   |  

Abstract

Mapping crop patterns with remote sensing data is of great importance for agricultural production, food security and agricultural sustainability. In this paper, a hierarchical clustering method was proposed to map cropping frequency from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) Enhanced Vegetation Indices (EVI) data and the spatial and temporal patterns of cropping frequency from 2001 to 2015 in Hubei Province of China were analyzed. The results are as follows: (1) The total double crop areas decreased slightly, while total single crop areas decreased significantly during 2001 and 2015; (2) The transfer between double crop and single crop was frequent in Hubei with about 11~15% croplands changed their cropping frequency every 5 years; (3) The crop system has obvious regional differentiation for their change trend at the county level. View Full-Text
Keywords: spatial-temporal dynamics; cropping frequency; phenology; time-series MODIS data; hierarchical clustering method spatial-temporal dynamics; cropping frequency; phenology; time-series MODIS data; hierarchical clustering method
Figures

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).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Tao, J.; Wu, W.; Liu, W. Spatial-Temporal Dynamics of Cropping Frequency in Hubei Province over 2001–2015. Sensors 2017, 17, 2622.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top