高分辨率星载SAR在高原山地烟草产量估测中的应用研究
发布时间：2019-06-09 20:38
【摘要】：从贵州高原山地烟草种植现状出发,以SAR技术为手段,结合地理信息系统和全球定位系统等其他现代信息技术,实现现代烟草种植信息收集、定量分析和建立烟草鲜叶片产量模型。通过遥感手段能够快速地收集农业资源生产的信息,光学遥感广泛应用于作物理化参数反演中。由于贵州高原山地处在亚热带季风气候区,常年多云雨,光学遥感数据获取十分困难。另外,贵州山地多为喀斯特地貌,地表大面积裸露,地势起伏崎岖,地块零散破碎,使得烟田无法集中分布,烟田地形地貌复杂多样,烟草农业集约化生产难以达到,也给烟草生长监测以及烟叶估产方面带来了极大的不便与困难。SAR采用主动遥感方式,利用微波成像不受云雨限制,更适合多云雨山区的应用。对喀斯特山区的SAR影像进行多极化、多波段、多时相的分析研究,利用其特性将其应用于贵州高原山地现代烟草农业生产调查当中。有助于现代烟草农业生产监测,完成烟叶鲜重产量估测模型的建立,并对其关键技术进行研究。遥感技术可以从宏观的角度掌握烟草的生长信息做出适当的规划和调整,以高分辨率星载SAR为研究数据,通过滤波去噪、DEM地形校正、正射校正等SAR数据处理,提取星载SAR遥感影像亮度值。野外调查数据与卫星监测时间同步,将野外调查数据与SAR数据结合起来分析烟草的生长状况和烟草叶片产量建立不同的烟草估产模型。烟草综合估产模型分析不同极化HH、VV的SAR亮度值与烟草叶面积指数(LAI)的相关性,构建线性回归模型反演烟草叶面积指数。叶面积指数是代表农作物生长的植物学参数也是非常重要的生长状况评价指标。烟草的产量为叶片,所以叶面积指数与烟草产量的状况有密切的关系。其次,对烟草种植环境的适宜性进行综合评价,对烟草生长适宜性评价的目的是为了针对烟草种植的环境情况鉴定其生态条件是否有利于烟草的顺利生长和优质烟叶的形成,对烟草产量的估测提供重要依据,计算烟草种植适宜性并作为估产模型中的一项参数来完善模型。通过理论模型和经验模型相结合的方法,结合烟草生长环境的适宜性、长势状况叶面积指数等参数建立出烟草的综合估产模型。烟草的遥感估产模型选用烟草不同生育期的SAR遥感影像,通过SAR遥感影像的处理和计算得出烟草不同生育期SAR亮度值,利用野外实地考察烟草数据,将烟草生长各个时期的不同极化方式SAR亮度值与对应时期烟草鲜重产量建立线性回归关系的产量估测模型。通过所建立烟草估产模型计算出烟草产量的估测值与烟草实际产量值对比验证精度。论文的主要贡献主要集中在以下三个方面:(1)分析提取烟草叶片不同化方式的SAR影像亮度值与反映烟草生长状况的叶面积指数(LAI)进行反演,构建线性回归模型反演烟草叶面积指数。(2)建立高原山地烟草种植适宜性评价体系,通过定量计算烟草适宜性指数,合理评价了研究区域内烟草种植适宜性所属范围。(3)应用高分辨率星载SAR在高原山地进行烟草种植定量监测和估产是可行的,通过结合SAR技术建立不同方法的烟草估产模型,满足高原山区大面积快速估产需要,为贵州喀斯特山地烟草估产提供研究思路。
[Abstract]:Based on the present situation of the tobacco planting in the mountainous area of the plateau, the modern tobacco planting information collection, quantitative analysis and the establishment of the tobacco fresh leaf yield model are realized by using the SAR technology as a means, combining with other modern information technologies such as the geographic information system and the global positioning system. By means of remote sensing, the information of agricultural resource production can be quickly collected, and the optical remote sensing is widely used in the inversion of the physical and chemical parameters of crops. The remote sensing data acquisition is very difficult due to the subtropical monsoon climate in the mountain area of the plateau. in addition, most of that mountainous area of Guizhou are the karst landform, the surface area of the surface is exposed, the terrain is rough and the land is scattered and broken, so that the tobacco field cannot be concentrated and distributed, the terrain and the landform of the tobacco field are complex and diverse, and the intensive production of the tobacco is difficult to reach, And also brings great inconvenience and difficulty to the tobacco growth monitoring and the estimation of tobacco leaves. The active remote sensing method is adopted in the SAR, and the microwave imaging is not limited by the cloud rain, and is more suitable for the application of the multi-cloud-rain mountain area. The multi-polarization, multi-band and multi-temporal analysis of the SAR image in the karst mountainous area is studied, and its characteristics are used in the investigation of the modern tobacco agricultural production in the mountain area of the plateau. It is helpful for the production and monitoring of the modern tobacco agricultural production, and the establishment of the model for estimating the fresh weight of the tobacco leaves is finished, and the key technology of the tobacco leaf is researched. The remote sensing technology can properly plan and adjust the growth information of the tobacco from a macroscopic angle, using the high-resolution space-borne SAR as the research data, and extracting the satellite-borne SAR remote sensing image brightness value through the SAR data processing such as the filtering, de-noising, the DEM terrain correction, the positive-emission correction and the like. The field survey data is synchronized with the satellite monitoring time, and the field survey data and the SAR data are combined to analyze the growth condition of the tobacco and the tobacco leaf yield to establish a different tobacco estimation model. The correlation between the SAR luminance value of different polarization HH and VV and the tobacco leaf area index (LAI) was analyzed by the tobacco comprehensive estimation model, and a linear regression model was constructed to invert the tobacco leaf area index. The leaf area index is the botanical parameter that represents the growth of the crop, and it is also a very important index for the evaluation of the growth condition. The yield of tobacco is the leaf, so the leaf area index is closely related to the tobacco yield. secondly, the suitability of the tobacco planting environment is comprehensively evaluated, and the purpose of the evaluation on the suitability of the tobacco growth is to identify whether the ecological condition of the tobacco planting environment is favorable for the smooth growth of the tobacco and the formation of high-quality tobacco leaves, An important basis for the estimation of tobacco yield is to calculate the suitability of tobacco planting and to improve the model as a parameter in the model. Based on the combination of the theoretical model and the empirical model, the comprehensive evaluation model of tobacco was established by using the parameters such as the suitability of the tobacco growth environment and the leaf area index of the long-potential condition. The remote sensing model of the tobacco uses the SAR remote sensing images of different growth stages of the tobacco, and the SAR brightness values of different growth stages of the tobacco are obtained through the processing and calculation of the SAR remote sensing images, and the field visits of the tobacco data are utilized, And a yield estimation model for establishing a linear regression relationship with the tobacco fresh weight yield of the corresponding period is established by using the different polarization mode SAR brightness value of each period of the tobacco growth and the tobacco fresh weight yield of the corresponding period. And comparing the estimated value of the tobacco yield with the actual yield value of the tobacco through the established tobacco estimation model. The main contribution of the thesis is mainly on the following three aspects: (1) analyzing the SAR image brightness value and the leaf area index (LAI) reflecting the tobacco growth condition, and constructing a linear regression model to invert the tobacco leaf area index. (2) The suitability evaluation system for tobacco planting in the plateau is set up, and the range of the suitability of the tobacco planting in the study area is reasonably evaluated by the quantitative calculation of the tobacco suitability index. (3) The application of high-resolution space-borne SAR to the quantitative monitoring and estimation of tobacco planting in the high-altitude mountainous area is feasible, and the tobacco estimation model of different methods is established by combining the SAR technology, so that the large-area rapid estimation and production requirement of the high-altitude mountain area is met, To provide a study on the production of tobacco in karst mountainous area in guizhou.
【学位授予单位】：贵州师范大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：S572;S127
本文编号：2495884
[Abstract]:Based on the present situation of the tobacco planting in the mountainous area of the plateau, the modern tobacco planting information collection, quantitative analysis and the establishment of the tobacco fresh leaf yield model are realized by using the SAR technology as a means, combining with other modern information technologies such as the geographic information system and the global positioning system. By means of remote sensing, the information of agricultural resource production can be quickly collected, and the optical remote sensing is widely used in the inversion of the physical and chemical parameters of crops. The remote sensing data acquisition is very difficult due to the subtropical monsoon climate in the mountain area of the plateau. in addition, most of that mountainous area of Guizhou are the karst landform, the surface area of the surface is exposed, the terrain is rough and the land is scattered and broken, so that the tobacco field cannot be concentrated and distributed, the terrain and the landform of the tobacco field are complex and diverse, and the intensive production of the tobacco is difficult to reach, And also brings great inconvenience and difficulty to the tobacco growth monitoring and the estimation of tobacco leaves. The active remote sensing method is adopted in the SAR, and the microwave imaging is not limited by the cloud rain, and is more suitable for the application of the multi-cloud-rain mountain area. The multi-polarization, multi-band and multi-temporal analysis of the SAR image in the karst mountainous area is studied, and its characteristics are used in the investigation of the modern tobacco agricultural production in the mountain area of the plateau. It is helpful for the production and monitoring of the modern tobacco agricultural production, and the establishment of the model for estimating the fresh weight of the tobacco leaves is finished, and the key technology of the tobacco leaf is researched. The remote sensing technology can properly plan and adjust the growth information of the tobacco from a macroscopic angle, using the high-resolution space-borne SAR as the research data, and extracting the satellite-borne SAR remote sensing image brightness value through the SAR data processing such as the filtering, de-noising, the DEM terrain correction, the positive-emission correction and the like. The field survey data is synchronized with the satellite monitoring time, and the field survey data and the SAR data are combined to analyze the growth condition of the tobacco and the tobacco leaf yield to establish a different tobacco estimation model. The correlation between the SAR luminance value of different polarization HH and VV and the tobacco leaf area index (LAI) was analyzed by the tobacco comprehensive estimation model, and a linear regression model was constructed to invert the tobacco leaf area index. The leaf area index is the botanical parameter that represents the growth of the crop, and it is also a very important index for the evaluation of the growth condition. The yield of tobacco is the leaf, so the leaf area index is closely related to the tobacco yield. secondly, the suitability of the tobacco planting environment is comprehensively evaluated, and the purpose of the evaluation on the suitability of the tobacco growth is to identify whether the ecological condition of the tobacco planting environment is favorable for the smooth growth of the tobacco and the formation of high-quality tobacco leaves, An important basis for the estimation of tobacco yield is to calculate the suitability of tobacco planting and to improve the model as a parameter in the model. Based on the combination of the theoretical model and the empirical model, the comprehensive evaluation model of tobacco was established by using the parameters such as the suitability of the tobacco growth environment and the leaf area index of the long-potential condition. The remote sensing model of the tobacco uses the SAR remote sensing images of different growth stages of the tobacco, and the SAR brightness values of different growth stages of the tobacco are obtained through the processing and calculation of the SAR remote sensing images, and the field visits of the tobacco data are utilized, And a yield estimation model for establishing a linear regression relationship with the tobacco fresh weight yield of the corresponding period is established by using the different polarization mode SAR brightness value of each period of the tobacco growth and the tobacco fresh weight yield of the corresponding period. And comparing the estimated value of the tobacco yield with the actual yield value of the tobacco through the established tobacco estimation model. The main contribution of the thesis is mainly on the following three aspects: (1) analyzing the SAR image brightness value and the leaf area index (LAI) reflecting the tobacco growth condition, and constructing a linear regression model to invert the tobacco leaf area index. (2) The suitability evaluation system for tobacco planting in the plateau is set up, and the range of the suitability of the tobacco planting in the study area is reasonably evaluated by the quantitative calculation of the tobacco suitability index. (3) The application of high-resolution space-borne SAR to the quantitative monitoring and estimation of tobacco planting in the high-altitude mountainous area is feasible, and the tobacco estimation model of different methods is established by combining the SAR technology, so that the large-area rapid estimation and production requirement of the high-altitude mountain area is met, To provide a study on the production of tobacco in karst mountainous area in guizhou.
【学位授予单位】：贵州师范大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：S572;S127
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