基于地表定量参数的沙漠化遥感监测方法     

曾永年  冯兆东  向南平 《国土资源遥感》2005,16(2):40-44

利用野外沙漠化调查的定位数据和ETM+ 遥感数据，在实验分析的基础上，探讨了沙漠化程度与地表参数之间的定量关系，即沙漠化与植被指数（NDVI）、地表辐射温度（LST）之间的关系，提出了综合反映沙漠化土地生物物理特征的遥感监测指数——沙漠化遥感监测差值指数（DDI），为沙漠化遥感监测提供有效的定量化方法。  相似文献   

 滨里海盆地东缘阿克纠宾地区遥感地质及地球物理场研究   总被引：1，自引：0，他引：1  

王京  赵珍梅  曹代勇  李祥强  李捷  刘扬 《国土资源遥感》2005,16(3):48-51

 以图像处理、GIS为平台，对哈萨克斯坦阿克纠宾地区的重、磁、电、遥感及地震资料进行了综合分析。指出，该地区重、磁力资料信息含量较高，对于确定盐下构造分布具有积极意义。使用遥感资料对小断层及裂隙发育状况进行研究，有助于裂隙孔隙型碳酸盐岩油藏开发注水效率的提高。同时可对扎纳若尔、阿里别克莫拉等油田的井网状况进行监控和地面设施进行调查。  相似文献   

Single frequency processing of Ørsted GPS radio occultation measurements     

Georg Bergeton Larsen  Stig Syndergaard  Per Høeg  Martin Bjært Sørensen 《GPS Solutions》2005,9(2):144-155

The Global Positioning System (GPS) radio occultation measurements obtained using the TurboRogue GPS receiver on the Danish satellite Ørsted have been processed using the single frequency method. Atmospheric profiles of refractivity and temperature are derived and validated against numerical weather prediction data from the European Centre for Medium-Range Weather Forecast (ECMWF). Results from the Ørsted GPS measurement campaign in February 2000 indicate that the single frequency method can provide retrievals with accuracy comparable to that of using two frequencies. From comparisons between measured dry temperature profiles and corresponding dry temperature profiles derived from ECMWF analysis fields, we find a mean difference of less than 0.5 K and a standard deviation of 2–4 K between 500 and 30 hPa in height. Above 30 hPa the impact of the ionosphere becomes more dominant and more difficult to eliminate using the single frequency method, and the results show degraded accuracy when compared to previous analysis results of occultation data from other missions using the dual frequency method. At latitudes less than 40° (denoted low latitudes), the standard deviation is generally smaller than at latitudes higher than 40° (denoted high latitudes). A small temperature bias is observed centered at 200 hPa for low latitudes and at 300 hPa for high latitudes. This indicates that the ECMWF analyses do not adequately resolve the tropopause temperature minimum. In the lowest part of the troposphere an observed warm bias is thought to be due to erroneous tracking of the GPS signal in cases of atmospheric multipath propagation.  相似文献   

应用AMSU资料监测中国地区雪盖的初步研究   总被引：3，自引：1，他引：3       下载免费PDF全文

陈爱军刘玉洁  杜秉玉 《应用气象学报》2005,16(1):35-44

根据微波遥感积雪的原理, 提出了利用NOAA-16 AMSU的1通道 (23.8 GHz)、2通道 (31.4 GHz) 和15通道 (89.0 GHz) 等3个通道监测中国五大区域雪盖范围的初步判识方法。由该方法制作合成了2001年10月1日至2002年4月1日中国地区的周积雪覆盖监测图, 与来自全国气象台站的地面积雪观测记录以及美国人机交互式冰雪制图系统 (I nteractive Snow and Ice Mapping System, IMS) 的雪盖图、SSM/ I (Special Sensor Microwave Imager) 雪盖图的比较结果表明:AMSU监测结果不仅具有比较高的准确性, 而且其准确性和可靠性达到甚至优于其它两种积雪监测结果 (尤其是雪季中期)。  相似文献   

基于EOS/MODIS资料的沙尘遥感监测模型研究   总被引：5，自引：1，他引：5  

韩涛  李耀辉  郭铌 《高原气象》2005,24(5):757-764

在EOS MODIS资料可见光波段光谱特性的深入分析的基础上，提出了一种完全用MODIS可见光波段监测沙尘信息的技术方法。充分利用MODIS资料可见光范围波段划分细致的特点，构造了不同的光谱特征判别函数作为决策树的分支，最后用决策树法成功地对几次沙尘暴过程进行了沙尘信息遥感监测。结果表明，该方法具有良好的效果和实用性。  相似文献   

基于遥感信息的华北冬小麦区域生长模型及模拟研究   总被引：21，自引：1，他引：21  

马玉平  王石立  张黎  侯英雨  庄立伟  王馥棠 《气象学报》2005,63(2):204-215

卫星遥感估产和作物生长模拟在作物监测和产量预测方面有各自不可替代的优势。但是,遥感估产难以揭示作物生长发育和产量形成的内在机理,作物模拟在区域应用时初始值的获取和参数的区域化遇到很多困难。如何利用二者的互补性使其相互结合受到人们关注。该文在Wofost模型本地化和区域化的基础上,首次利用同化法的思路探讨了MODIS遥感信息与华北冬小麦生长模拟模型结合的可行性和方法,初步建立了潜在生产水平(水分适宜条件)下区域遥感-作物模拟框架模型(WSPFRS模型)。模拟结果显示:WSPFRS模型对区域尺度的出苗期重新初始化后,模拟的开花期、成熟期空间分布的准确性比Wofost模拟结果有所改进;利用遥感信息对区域尺度上返青期生物量重新初始化后,模拟贮存器官干重的空间分布更接近实际单产的分布,贮存器官干重的高值区与实际高产区基本相符。该研究将为下一步实际水分供应条件下基于遥感信息的冬小麦区域生长模拟研究奠定了基础。  相似文献   

Effects of detailed soil spatial information on watershed modeling across different model scales     

Trevor Quinn  A.-Xing Zhu  James E. Burt   《International Journal of Applied Earth Observation and Geoinformation》2005,7(4):324-338

Hydro-ecological modelers often use spatial variation of soil information derived from conventional soil surveys in simulation of hydro-ecological processes over watersheds at mesoscale (10–100 km²). Conventional soil surveys are not designed to provide the same level of spatial detail as terrain and vegetation inputs derived from digital terrain analysis and remote sensing techniques. Soil property layers derived from conventional soil surveys are often incompatible with detailed terrain and remotely sensed data due to their difference in scales. The objective of this research is to examine the effect of scale incompatibility between soil information and the detailed digital terrain data and remotely sensed information by comparing simulations of watershed processes based on the conventional soil map and those simulations based on detailed soil information across different simulation scales. The detailed soil spatial information was derived using a GIS (geographical information system), expert knowledge, and fuzzy logic based predictive mapping approach (Soil Land Inference Model, SoLIM). The Regional Hydro-Ecological Simulation System (RHESSys) is used to simulate two watershed processes: net photosynthesis and stream flow. The difference between simulation based on the conventional soil map and that based on the detailed predictive soil map at a given simulation scale is perceived to be the effect of scale incompatibility between conventional soil data and the rest of the (more detailed) data layers at that scale. Two modeling approaches were taken in this study: the lumped parameter approach and the distributed parameter approach. The results over two small watersheds indicate that the effect does not necessarily always increase or decrease as the simulation scale becomes finer or coarser. For a given watershed there seems to be a fixed scale at which the effect is consistently low for the simulated processes with both the lumped parameter approach and the distributed parameter approach.  相似文献   

Predicting grain protein content of winter wheat using remote sensing data based on nitrogen status and water stress     

《International Journal of Applied Earth Observation and Geoinformation》2005,7(1):1-9

Advanced site-specific knowledge of grain protein content of winter wheat from remote sensing data would provide opportunities to manage grain harvest differently, and to maximize output by adjusting input in fields. In this study, remote sensing data were utilized to predict grain protein content. Firstly, the leaf nitrogen content at winter wheat anthesis stage was proved to be significantly correlated with grain protein content (R² = 0.36), and spectral indices significantly correlated to leaf nitrogen content at anthesis stage were potential indicators for grain protein content. The vegetation index, VI_green, derived from the canopy spectral reflectance at green and red bands, was significantly correlated to the leaf nitrogen content at anthesis stage, and also highly significantly correlated to the final grain protein content (R² = 0.46). Secondly, the external conditions, such as irrigation, fertilization and temperature, had important influence on grain quality. Water stress at grain filling stage can increase grain protein content, and leaf water content is closely related to irrigation levels, therefore, the spectral indices correlated to leaf water content can be potential indicators for grain protein content. The spectral reflectance of TM channel 5 derived from canopy spectra or image data at grain filling stage was all significantly correlated to grain protein content (R² = 0.31 and 0.37, respectively). Finally, not only this study proved the feasibility of using remote sensing data to predict grain protein content, but it also provided a tentative prediction of the grain protein content in Beijing area using the reflectance image of TM channel 5.  相似文献   

Detection of rice sheath blight for in-season disease management using multispectral remote sensing     

《International Journal of Applied Earth Observation and Geoinformation》2005,7(2):115-128

Timely diagnosis of crop diseases in fields is critical for precision on-farm disease management. Remote sensing technology can be used as an effective and inexpensive method to identify diseased plants in a field scale. However, due to the diversity of crops and their associated diseases, application of the technology to agriculture is still in research stage, which needs to be elaborately investigated for algorithm development and standard image processing procedures. In this paper, we examined the applicability of broadband high spatial-resolution ADAR (Airborne Data Acquisition and Registration) remote sensing data to detect rice sheath blight and developed an approach to further explore the applicability. Based on the field symptom measurements, a comprehensive field disease index (DI) was constructed to measure infection severity of the disease and to relate to image sampled infections. In addition to direct band digital number (DN) values, band ratio indices and standard difference indices were used to examine possible correlations between field and image data. The results indicated that the broadband remote sensing imagery has the capability to detect the disease. Some image indices such as RI₁₄, SDI₁₄ and SDI₂₄ worked better than others. A correlation coefficient above 0.62 indicated that these indices would be valuable to use for identification of the rice disease. In the validation analysis, we obtained a small root mean square error (RMS = 9.1), confirming the applicability of the developed method. Although the results were encouraging, it was difficult to discriminate healthy plants from light infection ones when DI < 20 because of their spectral similarities. Hence, it was clear that identification accuracy increases when infection reaches medium-to-severe levels (DI > 35). This phenomenon illustrated that remote sensing images with higher spectral resolution (more bands and narrower bandwidth) were required in order to further examine the capability of separating the light diseased plants from healthy plants.  相似文献   

地基GPS遥感大气水汽含量及在气象上的应用   总被引：10，自引：4，他引：10       下载免费PDF全文

谷晓平  王长耀  蒋国华 《气象科学》2005,25(5):543-550

简单介绍了地基GPS遥感大气水汽含量的原理以及GPS反演水汽信息的种类，比较了两种GPS数据解算水汽策略，分析了在解算过程中影响GPS水汽精度的因子。最后简述了GPS水汽在气象上应用的进展，并提出了以后需努力的方向。  相似文献