中国烟草科学
中國煙草科學
중국연초과학
CHINESE TOBACCO SCIENCE
2013年
5期
104-107,112
,共5页
高分辨率%SAR%喀斯特山地%烟草%建模
高分辨率%SAR%喀斯特山地%煙草%建模
고분변솔%SAR%객사특산지%연초%건모
high resolution%SAR%Karst mountainous region%tobacco%model
为实现现代烟草农业快速监测,针对喀斯特山地多云多雨、地形支离破碎、作物种植复杂多样,导致常规遥感手段难以满足烟草生长监测需求的现状,提出了一种将高分辨率合成孔径雷达(SAR)应用于建立喀斯特山地烟草生长监测模型的方法。运用回归分析模拟,最终建立了基于高分辨率SAR影像亮度值的喀斯特山地烟草生长耦合监测模型。通过实例分析和实测数据验证发现,除旺长期叶长的回归模型外,在SAR亮度值与烟草各生长期的叶长、叶宽回归建模中,所建立的回归模型基本上能够反映其线性回归的耦合关系,能够满足研究区内云烟87品种的烟草生长状况监测。此方法为现代烟草农业大范围实时遥感监测提供新的研究思路。
為實現現代煙草農業快速鑑測,針對喀斯特山地多雲多雨、地形支離破碎、作物種植複雜多樣,導緻常規遙感手段難以滿足煙草生長鑑測需求的現狀,提齣瞭一種將高分辨率閤成孔徑雷達(SAR)應用于建立喀斯特山地煙草生長鑑測模型的方法。運用迴歸分析模擬,最終建立瞭基于高分辨率SAR影像亮度值的喀斯特山地煙草生長耦閤鑑測模型。通過實例分析和實測數據驗證髮現,除旺長期葉長的迴歸模型外,在SAR亮度值與煙草各生長期的葉長、葉寬迴歸建模中,所建立的迴歸模型基本上能夠反映其線性迴歸的耦閤關繫,能夠滿足研究區內雲煙87品種的煙草生長狀況鑑測。此方法為現代煙草農業大範圍實時遙感鑑測提供新的研究思路。
위실현현대연초농업쾌속감측,침대객사특산지다운다우、지형지리파쇄、작물충식복잡다양,도치상규요감수단난이만족연초생장감측수구적현상,제출료일충장고분변솔합성공경뢰체(SAR)응용우건립객사특산지연초생장감측모형적방법。운용회귀분석모의,최종건립료기우고분변솔SAR영상량도치적객사특산지연초생장우합감측모형。통과실례분석화실측수거험증발현,제왕장기협장적회귀모형외,재SAR량도치여연초각생장기적협장、협관회귀건모중,소건립적회귀모형기본상능구반영기선성회귀적우합관계,능구만족연구구내운연87품충적연초생장상황감측。차방법위현대연초농업대범위실시요감감측제공신적연구사로。
Due to the status of cloudy weather, fragmented terrain and diversified crop system in karst mountain region, the conventional remote sensing is difficult to meet the requirement for tobacco growth monitoring. To overcome these problems, we proposed a tobacco growth model monitoring method based on the brightness of the high resolution synthetic aperture radar (SAR) image in karst mountain region. Based on the high resolution SAR image brightness values in karst mountain region, the coupled model of tobacco growth monitoring used regression analysis simulation was established finally. The results from the example analysis and the measured data verification suggested that the established linear regression models between brightness values of SAR and the leaf length and width in the whole growth periods could reflect the linear regression basically, except the one of length in the vigorous growing period. In addition, the tobacco growth condition monitoring was promising for the Yunyan 87 in study area. This method provides a new research thought of large scale and real-time remote sensing monitoring for the modern tobacco agriculture.