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Spatial-Temporal Dynamics of Cropping Frequency in Hubei Province over 2001–2015
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 (MOD...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5713503/ https://www.ncbi.nlm.nih.gov/pubmed/29135953 http://dx.doi.org/10.3390/s17112622 |
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author | Tao, Jianbin Wu, Wenbin Liu, Wenbin |
author_facet | Tao, Jianbin Wu, Wenbin Liu, Wenbin |
author_sort | Tao, Jianbin |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5713503 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-57135032017-12-07 Spatial-Temporal Dynamics of Cropping Frequency in Hubei Province over 2001–2015 Tao, Jianbin Wu, Wenbin Liu, Wenbin Sensors (Basel) Article 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. MDPI 2017-11-14 /pmc/articles/PMC5713503/ /pubmed/29135953 http://dx.doi.org/10.3390/s17112622 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Tao, Jianbin Wu, Wenbin Liu, Wenbin Spatial-Temporal Dynamics of Cropping Frequency in Hubei Province over 2001–2015 |
title | Spatial-Temporal Dynamics of Cropping Frequency in Hubei Province over 2001–2015 |
title_full | Spatial-Temporal Dynamics of Cropping Frequency in Hubei Province over 2001–2015 |
title_fullStr | Spatial-Temporal Dynamics of Cropping Frequency in Hubei Province over 2001–2015 |
title_full_unstemmed | Spatial-Temporal Dynamics of Cropping Frequency in Hubei Province over 2001–2015 |
title_short | Spatial-Temporal Dynamics of Cropping Frequency in Hubei Province over 2001–2015 |
title_sort | spatial-temporal dynamics of cropping frequency in hubei province over 2001–2015 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5713503/ https://www.ncbi.nlm.nih.gov/pubmed/29135953 http://dx.doi.org/10.3390/s17112622 |
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