共被期刊论文引用了3次
您的检索式：您选中1篇文献正在查看引证文献汇总
|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Estimation of biomass in wheat using random forest regression algorithm and remote sensing data显示文摘Wheat biomass can be estimated using appropriate spectral vegetation indices.However,the accuracy of estimation should be further improved for on-farm crop management.Previous studies focused on developing vegetation indices,however limited research exists on modeling algorithms.The emerging Random Forest(RF) machine-learning algorithm is regarded as one of the most precise prediction methods for regression modeling.The objectives of this study were to(1) investigate the applicability of the RF regression algorithm for remotely estimating wheat biomass,(2) test the performance of the RF regression model,and(3) compare the performance of the RF algorithm with support vector regression(SVR) and artificial neural network(ANN) machine-learning algorithms for wheat biomass estimation.Single HJ-CCD images of wheat from test sites in Jiangsu province were obtained during the jointing,booting,and anthesis stages of growth.Fifteen vegetation indices were calculated based on these images.In-situ wheat above-ground dry biomass was measured during the HJ-CCD data acquisition.The results showed that the RF model produced more accurate estimates of wheat biomass than the SVR and ANN models at each stage,and its robustness is as good as SVR but better than ANN.The RF algorithm provides a useful exploratory and predictive tool for estimating wheat biomass on a large scale in Southern China. | Li'ai Wang Xudong Zhou Xinkai Zhu Zhaodi Dong Wenshan Guo | 2016 | The Crop Journal2016，4，3： | 30 |
| 2 | 基于TM影像植被指数的耕地地力状况反演研究显示文摘建立基于TM遥感影像植被指数的耕地地力反演模型,为区域耕地资源管理及可持续利用提供科学依据。选择耕地地力相似的山东郯城县和东平县,利用耕地地力实地调查分析和TM遥感数据,通过相关分析筛选对郯城耕地地力有较好反映的植被指数,通过回归分析建立耕地地力-植被指数模型,以郯城县数据建模,东平县数据进行反演和验证。结果显示,增强型植被指数(EVI)与耕地地力评价结果有最显著的正相关性,相关系数达到0.82。以EVI为自变量建立的二次方程式模型拟合效果最好,决定性系数达到0.69。采用决定性系数(R2)、均方根误差(RMSE)、精密度和准确度4个指标对模型的反演结果和原始评价结果之间的符合度进行统计检验,EVI的二次方程式模型准确度最高,为95.84%,RMSE和精密度最小,分别为5.21和0.04,为耕地地力最佳反演模型。对比分析东平县耕地地力反演图和常规耕地地力评价图,模型反演的各耕地地力等级与实际耕地地力评价等级具有较好的空间分布一致性。将耕地地力归并为高、中和低3个等级,高中低等级面积比例差异均在3.3%以内,符合研究区实际,反演效果较好。研究证明了基于定量遥感手段进行耕地地力估测的可行性,为耕地资源的监测利用提供了有效手段。 | 武婕 李增兵 李玉环 赵庚星 李春光 | 2015 | 自然资源学报2015，30，6： | 11 |
| 3 | 锡林格勒典型植被类型光谱特征显示文摘内蒙古草原是全球变化研究的热点区域。遥感是进行大尺度草地动态监测最为有效的工具。为基于遥感数据的草地分类识别和动态变化监测提供依据,该文以锡林格勒盟的典型植被类型为研究对象,采集冠层反射率光谱数据,分析其波形和植被指数光谱特征。研究结果表明:红边面积、红边斜率以及680nm附近的叶绿素吸收谷特征参量,能够有效区分不同密度的草地和农业植被。归一化植被指数NDVI、绿度归一化植被指数GNDVI和优化调节植被指数OSAVI的变化趋势一致,能够反映植被绿度信息,适宜于监测植被长势。 | 鹿琳琳 李庆亭 张熙 刘玲玲 隋悦 | 2015 | 遥感信息2015，30，4： | 2 |
您所在的机构暂未开通此部分的功能，请联系管理员