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author:

Qiu, Bingwen (Qiu, Bingwen.) [1] | Qi, Wen (Qi, Wen.) [2] | Tang, Zhenghong (Tang, Zhenghong.) [3] | Chen, Chongcheng (Chen, Chongcheng.) [4] | Wang, Xiaoqin (Wang, Xiaoqin.) [5]

Indexed by:

EI

Abstract:

Accurate and updated time series maps of paddy rice distribution and planting intensity will greatly improve our knowledge. Unfortunately, spatiotemporal explicit information on rice fields is relatively limited, and considerable uncertainties still exist as regards to its inter-annual variations in China. In this study, an improved rice mapping methodology was proposed through combined consideration of vegetation phenology and surface moisture variations from different seasonal rice. This method was applied to southeast China based on 500 m 8 day composite Moderate Resolution Imaging Spectroradiometer (MODIS) Enhance Vegetation Indices with two bands (EVI2) during the period 2001–2013. Its efficiency was validated with 763 ground survey sites, with an overall accuracy of 95.02 % and the kappa index of 0.9217. Spatiotemporal analysis indicated that rice cropping density and intensity lessened in southeast China during the period 2001–2013. Particularly, the paddy rice-planted areas reduced by 30.09 %, changing from 231,005 to 161,484 km2. Among them, the planted areas of double rice decreased by 49.34 %, changing from 34,215 to 17,335 km2. Therefore, averaged rice cropping intensity in southeast China decreased from 1.148 to 1.107. The primary dynamic patterns were from single rice or a rotation of rice plus other crops to non-rice (93,386 km2) and double rice to non-double rice (24,132 km2). When analyzed at provincial and altitudinal gradient levels, it was obvious that areas with greater rice cropping density or intensity were associated with more remarkable reductions. [Figure not available: see fulltext.] © 2015, Springer International Publishing Switzerland.

Keyword:

Forestry Radiometers Vegetation

Community:

  • [ 1 ] [Qiu, Bingwen]National Engineering Research Centre of Geospatial Information Technology of China, Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Science Building, 13th Floor, Gongye Road 523, Fuzhou; Fujian; 350002, China
  • [ 2 ] [Qi, Wen]National Engineering Research Centre of Geospatial Information Technology of China, Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Science Building, 13th Floor, Gongye Road 523, Fuzhou; Fujian; 350002, China
  • [ 3 ] [Tang, Zhenghong]Community and Regional Planning Program, University of Nebraska-Lincoln, Lincoln; NE; 68558, United States
  • [ 4 ] [Chen, Chongcheng]National Engineering Research Centre of Geospatial Information Technology of China, Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Science Building, 13th Floor, Gongye Road 523, Fuzhou; Fujian; 350002, China
  • [ 5 ] [Wang, Xiaoqin]National Engineering Research Centre of Geospatial Information Technology of China, Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Science Building, 13th Floor, Gongye Road 523, Fuzhou; Fujian; 350002, China

Reprint 's Address:

  • [qiu, bingwen]national engineering research centre of geospatial information technology of china, key laboratory of spatial data mining & information sharing of ministry of education, fuzhou university, science building, 13th floor, gongye road 523, fuzhou; fujian; 350002, china

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Source :

Environmental Monitoring and Assessment

ISSN: 0167-6369

Year: 2016

Issue: 1

Volume: 188

Page: 1-12

1 . 6 8 7

JCR@2016

2 . 9 0 0

JCR@2023

ESI HC Threshold:265

JCR Journal Grade:3

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 29

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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