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1.
随着遥感技术的迅速发展,雷达技术已经广泛应用于国内外林业工作中.合成孔径雷达和激光雷达由于其独特的优势,在我国的林业工作中进行了大量的尝试,并取得了突破性进展.本文主要概述了合成孔径雷达和激光雷达技术在我国林业上的应用现状,并提出了存在的问题以及未来的发展方向.  相似文献   

2.
合成孔径雷达技术在林业中的应用综述   总被引:2,自引:0,他引:2  
近年来合成孔径雷达(SAR)技术得到快速发展,它通过飞行平台的向前运动来实现合成孔径。它的穿透特性使它获取的影像基本不受云、雾的影响,而且能够透过地表和植被获取地表以下信息。最初用于军事上探测空中和地面的运动目标,后来逐渐应用到农业、林业、地质、环境、水文、灾害、测绘等领域。文中主要介绍合成孔径雷达技术的特点及其在森林资源调查、森林分类、自然灾害监测、森林蓄积量和生物量估测、土地利用分类、土壤水份估测等林业中的应用现状,对合成孔径雷达技术在林业中的应用前景进行了展望。  相似文献   

3.
森林是陆地生态系统的主体,而森林覆盖率、森林蓄积量及森林生物量是森林资源重要的特征参数,亦是林业调查的主要指标。合成孔径雷达(SAR)以其独特的成像机制、全天候全天时的成像特点以及较强的穿透能力,在森林资源调查发挥着巨大的作用。文章主要概述了合成孔径雷达技术特点及其在森林覆盖率、森林蓄积量及森林生物量等林业调查中的应用现状,并探讨了目前存在问题及未来发展趋势。  相似文献   

4.
介绍了载人航天工程的概况, 阐述了以载人航天器为平台的对地观测遥感技术的发展, 重点分析了载人航天平台遥感的技术优势, 从高分辨率、高光谱和热红外、合成孔径雷达和激光雷达等5个方面简介林业应用情况; 以高光谱数据为例, 介绍了基于我国天宫一号载人航天平台遥感数据的林业应用情况; 并对国内外空间站计划的林业应用潜力进行了展望。  相似文献   

5.
国内外林业遥感应用研究概况与展望   总被引:3,自引:1,他引:2  
林业遥感技术不仅可以直接获取森林资源管理的数据,更能进一步揭示森林经营管理的生态影响。伴随合成孔径雷达、激光雷达、高光谱、热红外等高分辨率遥感设备和技术的快速发展,遥感在森林生物生态属性上的定量和定性测绘与监测方面发展十分迅速。文中重点介绍近几年国内外遥感在森林分布、组成、结构、动态和干扰、生产力监测上的应用概况,并从拓展林业遥感研究目标和维度、加大投入、提升平台建设能力和重点关注林业工程及数字林业规划等方面提出林业遥感未来的发展趋势。  相似文献   

6.
杨湘灵 《绿色科技》2014,(8):311-312
指出了随着我国经济的发展,林业经济在社会主义市场经济中占据的地位越来越重要,当前在林业经济发展中,存在着较多的问题,造成了林业经济和市场经济的脱轨,制约了林业经济的发展。因此我们要努力解决林业发展中存在的问题,为林业经济发展创造良好的发展空间,从而弥补林业资源存在的危机。阐述了林业经济发展的重要性,并分析了林业经济发展中存在的问题,最后提出了几点促进林业经济发展的措施。  相似文献   

7.
程鹏 《中国林业》2009,(20):8-9
2009年6月召开的中央林业工作会议,进一步明确了林业的定位,即在贯彻可持续发展战略中林业具有重要地位、在生态建设中林业具有首要地位、在西部大开发中林业具有基础地位之外,增加了在应对气候变化中林业具有特殊地位。通过何途径来体现这个新地位?怎样做才能真正应对气候变化?  相似文献   

8.
指出了在生态林业建设过程中,林业技术的推广不仅可以提高林业技术的推广质量,而且可为我国林业的发展提供有效的保证。近阶段我国林业技术推广过程中出现了一些问题,促使其生态林业建设中并不能发挥良好的效用,分析了现阶段林业技术推广过程中出现的问题,提出了生态林业建设过程中林业技术的推广措施及对策。  相似文献   

9.
指出了在我国生态林业的发展过程中,现代林业技术的推广是一项重要的内容,对我国林业的发展及建设质量的提高有着极大的促进作用。而在实际的推广工作中,仍然存在各种问题,比如林农观念思想落后、对林业技术认识不足等。针对生态林业发展中现代林业技术的推广进行了简要的分析,提出了加强林业科技推广的对策,以供参考。  相似文献   

10.
人工神经网络在林业上的应用研究进展   总被引:2,自引:1,他引:1  
在目前的林业生产中,林业作业机械化、自动化与智能化的程度存在着一定的不足,在林业作业中借助人工神经网络技术优化作业系统可以有效地提高作业效率和精度。文中概述了国内外人工神经网络在林业作业应用中的研究现状以及人工神经网络在林业作业应用中的优势,介绍了人工神经网络在植树造林、森林监测、森林采伐、木材加工4个方面的应用现状,在分析林业作业应用人工神经网络存在问题的基础上,提出了人工神经网络在林业作业应用中未来的发展方向,以期提高林业作业的智能性和准确性。  相似文献   

11.
News and Views     
New forest inventory methods must be developed in order to create good conditions for decision‐making regarding ecological and economical issues in forestry. There are good field measurement methods to use, but they are often very expensive. Coherent all radio band sensing (CARABAS) is a newly developed synthetic aperture radar (SAR) sensor. It differs significantly from the earlier SARs by using longer wavelengths. The CARABAS sensor is more adapted to the scatterers of interest in the forest, due to its longer wavelengths. In this study, CARABAS imagery is compared with forest tree volume. Regression analysis was used to relate radar backscattering to forest tree volume. Due to the large range of incidence angle (45°‐68°), the CARABAS image had to be radiometrically relative‐calibrated. Radar backscattering from five forest stands with similar volume contents were plotted against the distance from the sensor. The plot revealed a linear relationship between these variables. By linear regression on that material the other pixels were relative‐calibrated in the image. Finally, radar backscattering was related to forest stand volumes by using linear regression. The results showed that the backscattering component of the CARABAS imagery is highly correlated to forest tree volume (R2 = 74.9%). In this material, there seemed to be no saturation level of the backscattering component up to 300 m3 ha?1.  相似文献   

12.
合成孔径雷达森林生物量估测研究进展   总被引:22,自引:1,他引:21  
随着合成孔径雷达(SAR)遥感技术的发展,微波遥感独特的成像机理及其全天候全天时成像能力,使其在区域和全球森林生物量估测方面具有其它光学遥感数据不可替代的作用,这愈来愈受到科学家们的重视。首先就SAR对森林生物量的敏感性进行了论述,分别P、L和C3个波段及其不同极化方式总结了SAR对森林生物量的敏感性和饱和点等反应特性;然后就SAR对森林生物量的后向散射机理和影响森林后散射的其它因素进行了分析;最后总结了利用SAR进行森林生物量估测的技术路线。  相似文献   

13.
In commercial forestry, regular terrestrial enumerations of the growing stock are required for the valuation, sustain-able management and planning of current and future timber supplies. In this study we examined whether the combination of synthetic aperture radar (ALOS PALSAR) and optical satellite (SPOT 4) image data can accurately predict the timber volume of even-aged Eucalyptus plantations located in South Africa. Results from this study show that the combination of ALOS PALSAR and SPOT 4 produces a R 2 value of 0.68 for the planted model, whereas the coppiced model produced a R 2 value of 0.55. However, by including stand age as an independent variable in the stepwise model, there was a 15% improvement for the planted model, whereas the coppiced model produced a 27% improvement. The final model developed in this study produced a R 2 value of 0.83 and a RMSE of 31.71?m3 ha?1 for planted stands, whereas the model for coppiced stands produced a R 2 value of 0.82 and a RMSE of 27.70?m3 ha?1. As it is not practical or financially feasible for commercial forestry companies to carry out terrestrial enumerations for all plantations on an annual basis, the model developed in this study presents an alternative and accurate method to calculate timber volume for even-aged Eucalyptus plantations.  相似文献   

14.
A progressive classification of a marsh and forest system using Landsat Thematic Mapper (TM), color infrared (CIR) photograph, and ERS-1 synthetic aperture radar (SAR) data improved classification accuracy when compared to classification using solely TM reflective band data. The classification resulted in a detailed identification of differences within a nearly monotypic black needlerush marsh. Accuracy percentages of these classes were surprisingly high given the complexities of classification. The detailed classification resulted in a more accurate portrayal of the marsh transgressive sequence than was obtainable with TM data alone. Individual sensor contribution to the improved classification was compared to that using only the six reflective TM bands. Individually, the green reflective CIR and SAR data identified broad categories of water, marsh, and forest. In combination with TM, SAR and the green CIR band each improved overall accuracy by about 3% and 15% respectively. The SAR data improved the TM classification accuracy mostly in the marsh classes. The green CIR data also improved the marsh classification accuracy and accuracies in some water classes. The final combination of all sensor data improved almost all class accuracies from 2% to 70% with an overall improvement of about 20% over TM data alone. Not only was the identification of vegetation types improved, but the spatial detail of the classification approached 10 m in some areas.  相似文献   

15.
通过对我国城市林业理论研究和建设实践的综合分析,阐述了必须加快我国城市林业的发展,提出了发展我国城市森林的重点与对策,揭示了我国城市林业理论研究和建设实践的发展趋势。  相似文献   

16.
After a disastrous storm event, quick and reliable information on the extent of forest damage is required. This study evaluated different remote sensing data and methods to detect windthrown forests in mountainous regions as an alternative to the manual analysis of aerial images or terrestrial methods. To this end, both optical satellite sensors (Landsat-7, Spot-4 and Ikonos) and synthetic aperture radar (SAR) data at various frequencies (X-, L-, P- and C-band) were evaluated, and classifications of the windthrown forests were performed. This study was designed to state the advantages and disadvantages of the investigated data and methods. Classification results were compared with aerial images which were interpreted manually on a stereoscopic base. The study showed that the manual interpretation of Ikonos data revealed the most accurate results, followed by an automatic classification of Spot-4 data. Except for ERS-1/2 data, which are too inaccurate in mountainous regions, and SAR P-band data, all sensors and methods investigated have different advantages, so the choice of a specific sensor and method will depend on the question being answered.  相似文献   

17.
The status quo in forestry practice is to leave standard width buffers around water bodies in order to prevent the excess transport of sediments and nutrients from terrestrial to aquatic systems. This practice does not seem to be effective in the sub-humid boreal forest where climatic and physiographic variability produces complex hydrologic pathways not well protected by standard width buffers. We developed a remote sensing technique that forms a hydrologic basis for buffer strip design. Synthetic aperture radar (SAR) imagery was used to map, both inundated and saturated areas (herein called wet areas) amenable for surface transport of nutrients and sediments on a low relief landscape in northern Alberta, Canada. Wet areas coverage of the Moose Lake drainage basin showed a semi-logarithmic relationship with daily discharge (r2 = 0.72, p < 0.001, n = 18). This relationship was used to define a flow–duration curve for wet areas that could be used as an aspatial assessment of what proportion of a drainage basin should be protected. A probability map of wet areas formation was calculated from the database of 18 images. We demonstrated how the probability map may be used to design adaptive buffer strips for the mitigation of increased nutrient loading to boreal lakes following timber harvesting.  相似文献   

18.
退耕地是具有一定高度和坡度的特殊土地体系,受地形因素和自然规律的综合作用,孕育了经营模式上的多样性和复杂性。在分析四川水土流失现状和退耕还林工程总体布局的基础上,设计退耕还林经营模式,从宏观上提出特殊区域地方特色的退耕还林模式,以指导退耕还林工程。  相似文献   

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