Zou Jinqiu, Huang Yinlan, Chen Lina, Chen Shi
Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Bureau of Land Resources Lishui, Lishui, 323000, China.
Open Life Sci. 2018 Dec 31;13:533-543. doi: 10.1515/biol-2018-0064. eCollection 2018 Jan.
The aim of this study is to assess the winter wheat planting (WWP) area in Henan Province and investigate its temporal and spatial variations by using remote sensing (RS) technology. A spectral angle mapper (SAM) was adopted to identify the WWP area of each district divided by the hierarchical grades of land surface drought index during 2001-2015. The results obtained show the expediency of monitoring the WWP areas at the regional scale via drought regionalization, which provides a goodness-of-fit R =0.933, a mean relative error MRE=49,118 ha, and an overall accuracy up to 90.24%. The major WWP areas in Henan Province were located in Zhoukou, Zhumadian, Shangqiu, Nanyang, and Xinxiang prefecture-level cities. Two representative sites are mountainous districts, with rich water resources or high urbanization rate, which have a low probability of WWP. Both sites exhibited a strongly manifested evolution of WWP areas, which could be attributed to extremely cold weather conditions, crop alternation, the popularization of new varieties, and fast expansion of built-up areas. The results of this study are instrumental in the analysis of crop planting variation characteristics, which should be taken into account in the further decision-making process related to the crop planting strategies.
本研究旨在利用遥感（RS）技术评估河南省冬小麦种植（WWP）面积，并调查其时空变化。采用光谱角映射器（SAM）识别2001 - 2015年按地表干旱指数等级划分的各地区冬小麦种植面积。所得结果表明，通过干旱分区在区域尺度上监测冬小麦种植面积是可行的，拟合优度R = 0.933，平均相对误差MRE = 49118公顷，总体精度高达90.24%。河南省主要冬小麦种植区位于周口、驻马店、商丘、南阳和新乡等地级市。两个代表性地点为山区，水资源丰富或城市化率高，冬小麦种植概率低。这两个地点冬小麦种植面积均呈现出明显的演变，这可能归因于极端寒冷天气条件、作物轮作、新品种推广以及建成区快速扩张。本研究结果有助于分析作物种植变化特征，在进一步制定作物种植策略的决策过程中应予以考虑。
