许多研究已表明合成孔径雷达(SAR)对水稻识别及作物长势监测很有潜力。但是,以往的研究多是采用单极化多时相SAR数据进行水稻监测的。该文本着探讨多极化方式的优势以及降低数据购买成本和减少数据处理量的目的,对单时相双极化的ENV ISA...许多研究已表明合成孔径雷达(SAR)对水稻识别及作物长势监测很有潜力。但是,以往的研究多是采用单极化多时相SAR数据进行水稻监测的。该文本着探讨多极化方式的优势以及降低数据购买成本和减少数据处理量的目的,对单时相双极化的ENV ISAT A SAR APP数据的水稻识别能力进行了评价。在水稻生长季节,获取了覆盖江苏洪泽县的A SAR APP时间序列数据。首先,分析比较不同地物的后向散射系数,选择出最能区分水稻与非水稻的单时相数据;然后,采用决策阈值法将水稻信息从图像中提取出来;最后,利用DGPS实测的样地数据对水稻识别进行精度验证。结果表明,利用水稻齐穗期至近成熟期的HH和VV极化的ENV ISAT A SAR APP图像能较好区分水稻与非水稻,水稻识别精度可达86%以上。展开更多
Forest resource is often changed by the influence of human activities and natural damages. It is important to detect those change in time for forestry management planning. In China, the traditional way to obtain the c...Forest resource is often changed by the influence of human activities and natural damages. It is important to detect those change in time for forestry management planning. In China, the traditional way to obtain the change information of forest resource is carried out by means of "forest resource inventory and planning". There are several disadvantage within this means, for example, the period of re inventory is longer, the quality of sub compartment distribution map is poor, etc.. So we tried to find a good way to detect the forest resource change and to get finely result in order to update the forest data in time. In this paper, we introduced the study on detecting the forest resource change information and forest mapping using remote sensing and GIS techniques combined the conventionality way. First, the forest change area were identified from TM image and created a new sub compartment boundary map, then updating the old sub compartment boundary map using this new map. Second, updating the attribution database according to the sub compartment level field inventory data and the new sub compartment boundary map. Finally some comparison were made between the result of monitoring and the local field data, the accuracy is good. The study results showed this paper can be used as a working plan for further forest GIS development, where remote sensing is also utilized as a part of forest resource information management system.展开更多
地理信息系统(Geographic Information System,简称GIS)中数据结构主要有两种:矢量数据和栅格数据。二者在原理上彼此独立,应用于不同的处理过程。例如美国环境系统研究所研制的ARC/INFO地理信息系统是一个典型的矢量数据结构的GIS,美...地理信息系统(Geographic Information System,简称GIS)中数据结构主要有两种:矢量数据和栅格数据。二者在原理上彼此独立,应用于不同的处理过程。例如美国环境系统研究所研制的ARC/INFO地理信息系统是一个典型的矢量数据结构的GIS,美国陆军工程兵团研制的GRASS是一个基于栅格数据的GIS。展开更多
Lidar (light detection and ranging) remote sensing is a breakthrough of active remote sensing technology in recent years. It has shown enormous potential for forest parameters retrieval. Lidar remote sensing has the u...Lidar (light detection and ranging) remote sensing is a breakthrough of active remote sensing technology in recent years. It has shown enormous potential for forest parameters retrieval. Lidar remote sensing has the unique advantage of providing horizontal and vertical information at high accuracies. Especially it can be used to measure forest height directly with unprecedented accuracy. Large footprint lidar has demonstrated its great potential for accurate estimation of many forest parameters. The geoscience laser altimeter system (GLAS) instrument aboard the ice, cloud and land elevation satellite (ICEsat) has acquired a large amount of data including topography and vegetation height information. Although GLAS’ primary mission is the topographic mapping of the ice sheets of greenland and antarctica, it has potential use over land, especially for vegetation height extraction. These data provide an unprecedented vegetation height data set over large area. After a general discussion of GLAS waveform pre_processing, the waveform length extraction method has been developed. Then the waveform length from GLAS Laser 2a data in the northeast China was calculated. The waveform length map was analyzed together with land cover map from Landsat ETM+. The waveform length shows good accordant with land cover types from Landsat ETM+ data. As for forest area, the waveform length map contains much more information about forest height information, which can be used to inverse other forest parameters quantitatively together with other remote sensing data.展开更多
文摘许多研究已表明合成孔径雷达(SAR)对水稻识别及作物长势监测很有潜力。但是,以往的研究多是采用单极化多时相SAR数据进行水稻监测的。该文本着探讨多极化方式的优势以及降低数据购买成本和减少数据处理量的目的,对单时相双极化的ENV ISAT A SAR APP数据的水稻识别能力进行了评价。在水稻生长季节,获取了覆盖江苏洪泽县的A SAR APP时间序列数据。首先,分析比较不同地物的后向散射系数,选择出最能区分水稻与非水稻的单时相数据;然后,采用决策阈值法将水稻信息从图像中提取出来;最后,利用DGPS实测的样地数据对水稻识别进行精度验证。结果表明,利用水稻齐穗期至近成熟期的HH和VV极化的ENV ISAT A SAR APP图像能较好区分水稻与非水稻,水稻识别精度可达86%以上。
文摘Forest resource is often changed by the influence of human activities and natural damages. It is important to detect those change in time for forestry management planning. In China, the traditional way to obtain the change information of forest resource is carried out by means of "forest resource inventory and planning". There are several disadvantage within this means, for example, the period of re inventory is longer, the quality of sub compartment distribution map is poor, etc.. So we tried to find a good way to detect the forest resource change and to get finely result in order to update the forest data in time. In this paper, we introduced the study on detecting the forest resource change information and forest mapping using remote sensing and GIS techniques combined the conventionality way. First, the forest change area were identified from TM image and created a new sub compartment boundary map, then updating the old sub compartment boundary map using this new map. Second, updating the attribution database according to the sub compartment level field inventory data and the new sub compartment boundary map. Finally some comparison were made between the result of monitoring and the local field data, the accuracy is good. The study results showed this paper can be used as a working plan for further forest GIS development, where remote sensing is also utilized as a part of forest resource information management system.
文摘地理信息系统(Geographic Information System,简称GIS)中数据结构主要有两种:矢量数据和栅格数据。二者在原理上彼此独立,应用于不同的处理过程。例如美国环境系统研究所研制的ARC/INFO地理信息系统是一个典型的矢量数据结构的GIS,美国陆军工程兵团研制的GRASS是一个基于栅格数据的GIS。
文摘Lidar (light detection and ranging) remote sensing is a breakthrough of active remote sensing technology in recent years. It has shown enormous potential for forest parameters retrieval. Lidar remote sensing has the unique advantage of providing horizontal and vertical information at high accuracies. Especially it can be used to measure forest height directly with unprecedented accuracy. Large footprint lidar has demonstrated its great potential for accurate estimation of many forest parameters. The geoscience laser altimeter system (GLAS) instrument aboard the ice, cloud and land elevation satellite (ICEsat) has acquired a large amount of data including topography and vegetation height information. Although GLAS’ primary mission is the topographic mapping of the ice sheets of greenland and antarctica, it has potential use over land, especially for vegetation height extraction. These data provide an unprecedented vegetation height data set over large area. After a general discussion of GLAS waveform pre_processing, the waveform length extraction method has been developed. Then the waveform length from GLAS Laser 2a data in the northeast China was calculated. The waveform length map was analyzed together with land cover map from Landsat ETM+. The waveform length shows good accordant with land cover types from Landsat ETM+ data. As for forest area, the waveform length map contains much more information about forest height information, which can be used to inverse other forest parameters quantitatively together with other remote sensing data.
