Arid
基于高光谱遥感的退化伊犁绢蒿荒漠草地群落盖度估算
其他题名Community Coverage Estimation of Degraded Seriphidium transiliense Desert Grassland Based on Hyperspectral Remote Sensing
魏秀红; 靳瑰丽; 范燕敏; 安沙舟; 朱习雯; 王惠宁
来源期刊中国草地学报
ISSN1673-5021
出版年2017
卷号39期号:6页码:33-39,46
中文摘要实地测定不同利用状态的退化伊犁绢蒿荒漠草地群落覆盖度,获取草地的地面光谱和相对应的HJ-HSI高光谱影像两种数据,并通过植被指数和筛选波段变量估测相应的植被覆盖度。结果表明:利用两种高光谱数据构建的回归模型所选用的光谱变量和波段变量不一致,地面实测光谱的回归方程决定系数大于HJ-HSI光谱数据,利用地面光谱对较低决定系数的群落盖度估测模型进行纠正,精度有一定的提高;不同光谱数据估测盖度的最佳模型精度均在85%以上,围栏封育区模型均由敏感波段反射率的归一化值构建,围栏外重度退化区模型均由DVI构建,围栏外中度退化区模型可由光谱变量R_r、R_n构建。
英文摘要Based on the community coverage,ground spectral and HJ-HSI hyperspectral data of degraded Seriphidium transiliense by different utilization methods,the spectral variables and the band variables were used to estimate the coverage of different grassland communities.The results showed that: the spectral variables and the band variables used in the regression model constructed by the two hyperspectral data did not agree,and the regression equation of the ground measured spectral was larger than that of the HJ-HSI spectral data.The accuracy was improved by using the ground spectral to correct the estimation model with lower coefficient of determination.The best model accuracy of the estimated coverage of different spectral data was above 85%,and the fenced area (N) was constructed by the normalized value of the reflectance of the sensitive band,unfenced and heavy-degraded areas (W1) were constructed by the DVI,unfenced and middle-degraded areas (W2) were constructed by R_r and R_n.
中文关键词地面光谱 ; HJ-HSI光谱 ; 估测 ; 盖度
英文关键词Ground spectral HJ-HSI spectral Estimation Coverage
语种中文
国家中国
收录类别CSCD
WOS类目AGRICULTURE MULTIDISCIPLINARY
WOS研究方向Agriculture
CSCD记录号CSCD:6121295
来源机构新疆农业大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/236998
作者单位新疆农业大学草业与环境科学学院, 新疆草地资源与生态重点实验室, 乌鲁木齐, 新疆 830052, 中国
推荐引用方式
GB/T 7714
魏秀红,靳瑰丽,范燕敏,等. 基于高光谱遥感的退化伊犁绢蒿荒漠草地群落盖度估算[J]. 新疆农业大学,2017,39(6):33-39,46.
APA 魏秀红,靳瑰丽,范燕敏,安沙舟,朱习雯,&王惠宁.(2017).基于高光谱遥感的退化伊犁绢蒿荒漠草地群落盖度估算.中国草地学报,39(6),33-39,46.
MLA 魏秀红,et al."基于高光谱遥感的退化伊犁绢蒿荒漠草地群落盖度估算".中国草地学报 39.6(2017):33-39,46.
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