摘要
两种生育期相近的作物在遥感识别时容易造成混淆,给作物识别和面积提取工作带来困难。针对这一问题,以江汉平原为研究区,根据不同地物的MODIS EVI时序曲线,结合地物本身的光谱特征和农作物物候信息,利用决策树和二次差分法相结合方法提取2010年江汉平原油菜和冬小麦的种植面积。结果表明,与统计数据相比,研究区油菜和冬小麦种植面积遥感提取结果的总体精度分别为93.7%和87.1%;市(县、区)水平上,油菜与统计数据的相关系数R^2为0.88,冬小麦为0.90。本研究能够较准确地识别生育期相近的油菜和冬小麦,从而获得较好的种植面积提取结果,具有一定的普适性,可为江汉平原的油菜和冬小麦监测及估产提供技术支持。
Two crops with similar growth periods are likely to be confused during remote sensing recognition,which brings difficulties to crop identification and area extraction.For the purpose of solving this problem,Jianghan Plain was used as the study area and,according to the MODIS EVI timing curve of different features in combination with the spectral characteristics of the objects themselves and the phenological information of crops,the combination of decision tree and quadratic difference method was used to extract the planting area of rape and winter wheat in Jianghan Plain in 2010.The results showed that,compared with the statistical data,the overall accuracy of remote sensing extraction of rape and winter wheat planting area in the study area was 93.7%and 87.1%,respectively,and that,at the city(county,district)level,the correlation coefficient R^2 between calculated data and statistical data is 0.88,and the winter wheat is 0.90.This study can accurately identify rape and winter wheat with similar growth periods so as to obtain better results of planting area extraction,which has certain universality and can provide technical support for monitoring and estimating yield of rape and winter wheat in Jianghan Plain.
作者
杨欢
邓帆
张佳华
王雪婷
马庆晓
许诺
YANG Huan;DENG Fan;ZHANG Jiahua;WANG xueting;MA Qingxiao;XU Nuo(School of Geosciences, Yangtze University, Wuhan 430100, China;Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)
出处
《国土资源遥感》
CSCD
北大核心
2020年第3期208-215,共8页
Remote Sensing for Land & Resources
基金
国家自然科学基金项目“遥感、作物模型耦合土壤多层水平衡与根系垂直分布模拟干旱对作物产量的影响”(编号:41871253)资助。
