利用遥感技术快速准确地提取耕地信息是耕地保护的关键环节。以山东省商河县为例,提出了一种基于多季相分形特征的Landsat 8 OLI影像耕地信息提取方法。首先采用毯子覆盖法计算多季相遥感影像每个像元的上分形信号和下分形信号,对比分...利用遥感技术快速准确地提取耕地信息是耕地保护的关键环节。以山东省商河县为例,提出了一种基于多季相分形特征的Landsat 8 OLI影像耕地信息提取方法。首先采用毯子覆盖法计算多季相遥感影像每个像元的上分形信号和下分形信号,对比分析耕地和其他土地利用类型的分形特征,选取上分形信号的第3尺度作为特征尺度,提取商河县耕地空间分布特征;其次采用同时期的土地利用矢量数据、Esri land cover数据和统计数据进行耕地信息提取精度评价;最后分别设置多季相分形提取与单季相分形提取、现有土地利用数据产品的对比实验,并基于点位匹配度和面积匹配度进行评价。结果表明:多季相数据更能反映农作物生长的复杂性,有助于提高耕地信息的提取精度;不同土地利用类型在不同分形尺度的信号值各不相同,分形特征可以在不同尺度上清晰地刻画出不同土地利用类型的分异性;基于矢量数据和Esri land cover数据评价的多季相分形特征耕地提取点位匹配度为87.13%和89.83%,面积匹配度为99.73%和97.91%,均比单季相分形提取结果精度高;综合考虑点位匹配度、面积匹配度和空间分布特征,研发方法能有效区分耕地和其他土地利用类型,提取结果更优,且与统计数据有更高的一致性。该方法可准确提取耕地信息,为耕地的动态监测和损害评估提供技术支撑。展开更多
The integration of remote sensing and geographic information system(GIS)was employed in this study to delineate the structural lineaments within the eastern section of the Ouarzazate Basin,situated between the souther...The integration of remote sensing and geographic information system(GIS)was employed in this study to delineate the structural lineaments within the eastern section of the Ouarzazate Basin,situated between the southern front of the Central High Atlas and the northern slopes of the Eastern Anti-Atlas(also known as the Saghro Massif).To achieve this objective,Landsat 8 Operational Land Imager(OLI)and Shuttle Radar Topography Mission(SRTM)data were used.Principal Component Analysis(PCA)was computed and a directional filter was applied to the first PCA and the panchromatic band(B8).Additionally,shading was applied to the SRTM data in four directions;N0°,N45°,N90°,N135°.After removing of the non-geological linear structures,the results obtained,using the automatic extraction method,allowed us to produce a synthetic map that included 1251 lineaments with an average length of 1331 m and was dominated by NE-SW,ENE-WSW and E-W directions,respectively.However,the high lineament density is clearly noted in the Anti-Atlas(Saghro Massif)and at the level of the northern part,extending from the Ait Ibrirne to Arg-Ali Oubourk villages.High lineament density can always be found around the major faults affecting this area.The data collected during the field investigations and from geological maps show that the major direction of the faults and structural accidents range mostly between N45°,N70°and N75°.The correlation of remote sensing results with those collected in the field shows a similarity and coincidence with each other.From these results,it is possible to consider the automatic extraction method as a supplementary kind that can serve classical geology by quickly enriching it with additional data.As shown in this work,this method provides more information when applied in arid areas where the fields are well outcropped.展开更多
富贵竹作为一种观赏植物,在我国南方省份有大面积种植,具有良好的经济价值。为了解与监测区域富贵竹种植情况,以Landsat8 OLI遥感影像为数据源,构建了一种新的网体—水体差异增强指数(difference enhence between net and water index,D...富贵竹作为一种观赏植物,在我国南方省份有大面积种植,具有良好的经济价值。为了解与监测区域富贵竹种植情况,以Landsat8 OLI遥感影像为数据源,构建了一种新的网体—水体差异增强指数(difference enhence between net and water index,DENWI)作为特征参数,通过面向对象的分类方法建立富贵竹信息提取规则集,得到研究区域内富贵竹的种植信息,并与2种传统信息提取方法进行对比研究。结果表明,相比于传统方法,基于DENWI的面向对象分类方法可以更有效地提取富贵竹种植信息,总体分类精度为98. 46%,Kappa系数为0. 97,该方法监测提取富贵竹种植信息是可行且有优势的,可以为富贵竹种植监测和管理提供科学依据。展开更多
植被含水量是作物长势好坏的指示因子,利用遥感技术及时准确监测植被含水量对农业生产、作物估产和干旱状况评价具有重要意义。基于新一代对地观测计划Landsat 8OLI传感器(Operational Land Imager,陆地成像仪),评价其植被含水量反演的...植被含水量是作物长势好坏的指示因子,利用遥感技术及时准确监测植被含水量对农业生产、作物估产和干旱状况评价具有重要意义。基于新一代对地观测计划Landsat 8OLI传感器(Operational Land Imager,陆地成像仪),评价其植被含水量反演的能力与局限性。首先,利用ProSail冠层模型模拟冠层光谱反射率数据集,分析OLI传感器的植被含水量敏感波段以及土壤背景对各波段反射率的影响,然后利用基于Landsat OLI影像计算的植被水分指数和2013年6月1日—8月14日期间采样的植被含水量数据,比较12种植被水分指数与地面实际采样的植被含水量的相关性,评价估算植被含水量的最佳植被水分指数。结果表明:OLI传感器的红、近红外和两个短波红外对植被含水量敏感,其中近红外波段最为敏感;在低植被覆盖度时,土壤背景反射率的太阳辐射将达到光谱传感器影响植被水分指数与植被含水量之间的关系,利用ProSail模拟干湿土壤背景反射率结果也表明土壤背景对植被冠层反射率的影响很大;引入优化土壤调整植被指数(OSAVI)去除土壤背景对植被水分指数的影响;在12种植被水分指数中,MSI2与植被含水量的拟合关系最好(R2=0.948),植被含水量的平均拟合误差为0.52kg·m-2;在植被生长晚期即植被含水量大于2kg·m-2时,各植被水分指数出现饱和情况,植被含水量的估算结果不佳。展开更多
文摘利用遥感技术快速准确地提取耕地信息是耕地保护的关键环节。以山东省商河县为例,提出了一种基于多季相分形特征的Landsat 8 OLI影像耕地信息提取方法。首先采用毯子覆盖法计算多季相遥感影像每个像元的上分形信号和下分形信号,对比分析耕地和其他土地利用类型的分形特征,选取上分形信号的第3尺度作为特征尺度,提取商河县耕地空间分布特征;其次采用同时期的土地利用矢量数据、Esri land cover数据和统计数据进行耕地信息提取精度评价;最后分别设置多季相分形提取与单季相分形提取、现有土地利用数据产品的对比实验,并基于点位匹配度和面积匹配度进行评价。结果表明:多季相数据更能反映农作物生长的复杂性,有助于提高耕地信息的提取精度;不同土地利用类型在不同分形尺度的信号值各不相同,分形特征可以在不同尺度上清晰地刻画出不同土地利用类型的分异性;基于矢量数据和Esri land cover数据评价的多季相分形特征耕地提取点位匹配度为87.13%和89.83%,面积匹配度为99.73%和97.91%,均比单季相分形提取结果精度高;综合考虑点位匹配度、面积匹配度和空间分布特征,研发方法能有效区分耕地和其他土地利用类型,提取结果更优,且与统计数据有更高的一致性。该方法可准确提取耕地信息,为耕地的动态监测和损害评估提供技术支撑。
文摘The integration of remote sensing and geographic information system(GIS)was employed in this study to delineate the structural lineaments within the eastern section of the Ouarzazate Basin,situated between the southern front of the Central High Atlas and the northern slopes of the Eastern Anti-Atlas(also known as the Saghro Massif).To achieve this objective,Landsat 8 Operational Land Imager(OLI)and Shuttle Radar Topography Mission(SRTM)data were used.Principal Component Analysis(PCA)was computed and a directional filter was applied to the first PCA and the panchromatic band(B8).Additionally,shading was applied to the SRTM data in four directions;N0°,N45°,N90°,N135°.After removing of the non-geological linear structures,the results obtained,using the automatic extraction method,allowed us to produce a synthetic map that included 1251 lineaments with an average length of 1331 m and was dominated by NE-SW,ENE-WSW and E-W directions,respectively.However,the high lineament density is clearly noted in the Anti-Atlas(Saghro Massif)and at the level of the northern part,extending from the Ait Ibrirne to Arg-Ali Oubourk villages.High lineament density can always be found around the major faults affecting this area.The data collected during the field investigations and from geological maps show that the major direction of the faults and structural accidents range mostly between N45°,N70°and N75°.The correlation of remote sensing results with those collected in the field shows a similarity and coincidence with each other.From these results,it is possible to consider the automatic extraction method as a supplementary kind that can serve classical geology by quickly enriching it with additional data.As shown in this work,this method provides more information when applied in arid areas where the fields are well outcropped.
文摘富贵竹作为一种观赏植物,在我国南方省份有大面积种植,具有良好的经济价值。为了解与监测区域富贵竹种植情况,以Landsat8 OLI遥感影像为数据源,构建了一种新的网体—水体差异增强指数(difference enhence between net and water index,DENWI)作为特征参数,通过面向对象的分类方法建立富贵竹信息提取规则集,得到研究区域内富贵竹的种植信息,并与2种传统信息提取方法进行对比研究。结果表明,相比于传统方法,基于DENWI的面向对象分类方法可以更有效地提取富贵竹种植信息,总体分类精度为98. 46%,Kappa系数为0. 97,该方法监测提取富贵竹种植信息是可行且有优势的,可以为富贵竹种植监测和管理提供科学依据。
文摘植被含水量是作物长势好坏的指示因子,利用遥感技术及时准确监测植被含水量对农业生产、作物估产和干旱状况评价具有重要意义。基于新一代对地观测计划Landsat 8OLI传感器(Operational Land Imager,陆地成像仪),评价其植被含水量反演的能力与局限性。首先,利用ProSail冠层模型模拟冠层光谱反射率数据集,分析OLI传感器的植被含水量敏感波段以及土壤背景对各波段反射率的影响,然后利用基于Landsat OLI影像计算的植被水分指数和2013年6月1日—8月14日期间采样的植被含水量数据,比较12种植被水分指数与地面实际采样的植被含水量的相关性,评价估算植被含水量的最佳植被水分指数。结果表明:OLI传感器的红、近红外和两个短波红外对植被含水量敏感,其中近红外波段最为敏感;在低植被覆盖度时,土壤背景反射率的太阳辐射将达到光谱传感器影响植被水分指数与植被含水量之间的关系,利用ProSail模拟干湿土壤背景反射率结果也表明土壤背景对植被冠层反射率的影响很大;引入优化土壤调整植被指数(OSAVI)去除土壤背景对植被水分指数的影响;在12种植被水分指数中,MSI2与植被含水量的拟合关系最好(R2=0.948),植被含水量的平均拟合误差为0.52kg·m-2;在植被生长晚期即植被含水量大于2kg·m-2时,各植被水分指数出现饱和情况,植被含水量的估算结果不佳。
