全文获取类型
收费全文 | 5413篇 |
免费 | 1030篇 |
国内免费 | 1433篇 |
专业分类
测绘学 | 343篇 |
大气科学 | 1253篇 |
地球物理 | 1290篇 |
地质学 | 3001篇 |
海洋学 | 606篇 |
天文学 | 200篇 |
综合类 | 509篇 |
自然地理 | 674篇 |
出版年
2024年 | 31篇 |
2023年 | 115篇 |
2022年 | 275篇 |
2021年 | 329篇 |
2020年 | 240篇 |
2019年 | 294篇 |
2018年 | 366篇 |
2017年 | 328篇 |
2016年 | 331篇 |
2015年 | 281篇 |
2014年 | 331篇 |
2013年 | 289篇 |
2012年 | 311篇 |
2011年 | 364篇 |
2010年 | 346篇 |
2009年 | 291篇 |
2008年 | 233篇 |
2007年 | 254篇 |
2006年 | 239篇 |
2005年 | 202篇 |
2004年 | 140篇 |
2003年 | 133篇 |
2002年 | 163篇 |
2001年 | 133篇 |
2000年 | 172篇 |
1999年 | 245篇 |
1998年 | 165篇 |
1997年 | 186篇 |
1996年 | 170篇 |
1995年 | 164篇 |
1994年 | 133篇 |
1993年 | 165篇 |
1992年 | 100篇 |
1991年 | 79篇 |
1990年 | 56篇 |
1989年 | 50篇 |
1988年 | 41篇 |
1987年 | 33篇 |
1986年 | 21篇 |
1985年 | 16篇 |
1984年 | 8篇 |
1983年 | 8篇 |
1982年 | 12篇 |
1981年 | 3篇 |
1980年 | 6篇 |
1979年 | 5篇 |
1963年 | 1篇 |
1958年 | 14篇 |
1954年 | 1篇 |
1947年 | 1篇 |
排序方式: 共有7876条查询结果,搜索用时 9 毫秒
81.
为探究ASTER GDEMV3、SRTM1 DEM和AW3D30 DEM 3种开源DEM数据的高程精度,本文以高精度ICESat-2 ATLAS测高数据为参考数据,利用GIS统计分析、误差相关分析及数理统计对DEM的高程精度进行对比评价。结果表明:①AW3D30的质量最稳定;SRTM1 DEM在平原精度最高;在高原山地精度由高到低依次为AW3D30 DEM、ASTER GDEMV3、SRTM1 DEM。②DEM数据高程精度受地表覆盖影响较大,且与地形因素密切相关,在相同地表覆盖的两个研究区中DEM数据高程精度表现情况不一致,SRTM在平原地表覆盖下精度表现最好,平均误差为3.15 m,AW3D30 DEM在山地地表覆盖下精度表现最好,平均误差为7.61 m。③坡度对DEM数据的高程精度影响较大,在两个研究区3种DEM数据的高程误差均随坡度的增加而增加;坡向对DEM数据的高程精度影响较小,未发现明显的规律。 相似文献
82.
83.
84.
Liming He Jing M. Chen Shaoliang Zhang Gustavo Gomez Yude Pan Kevin McCullough Richard Birdsey Jeffrey G. Masek 《International Journal of Applied Earth Observation and Geoinformation》2011
Forest disturbances such as harvesting, wildfire and insect infestation are critical ecosystem processes affecting the carbon cycle. Because carbon dynamics are related to time since disturbance, forest stand age that can be used as a surrogate for major clear-cut/fire disturbance information has recently been recognized as an important input to forest carbon cycle models for improving prediction accuracy. In this study, forest disturbances in the USA for the period of ∼1990–2000 were mapped using 400+ pairs of re-sampled Landsat TM/ETM scenes in 500m resolution, which were provided by the Landsat Ecosystem Disturbance Adaptive Processing System project. The detected disturbances were then separated into two five-year age groups, facilitated by Forest Inventory and Analysis (FIA) data, which was used to calculate the area of forest regeneration for each county in the USA. 相似文献
85.
86.
介绍了巴郎沟水电站GPS施工控制网的布设、基线处理及平差方法,分析了GPS施工控制网精度及基线粗差,实现了在隐蔽地区较高精度GPS施工测量的应用. 相似文献
87.
88.
This letter presents a novel method of supervised multiresolution segmentation for synthetic aperture radar images. The method uses a region-based half-tree hierarchical Markov random field model for multiresolution segmentation. To form the region-based multilayer model, the watershed algorithm is employed at each resolution level independently. The nodes of a quadtree in the proposed model are defined as regions instead of pixels. The relationship over scale is studied, and the region-based upward and downward maximization of posterior marginal estimations are deduced. The experimental results for the segmentation of homogeneous areas prove the region-based model much better in terms of robustness to speckle and preservation of edges compared to the pixel-based hierarchical model and the Gibbs sampler with the single-resolution model 相似文献
89.
90.
The objective of this study is to efficiently extract detailed information about various man-made targets in oriented built-up areas using polarimetric synthetic aperture radar (POLSAR) images. This paper develops an improved approach for building detection by utilizing Two-Dimensional Time-Frequency (2-D TF) decomposition. This method performs outstandingly in distinguishing between man-made and natural targets based on the isotropic behaviors, frequency-sensitive responses, and scattering mechanisms of objects. The proposed method can preserve the spatial resolution and exploit the advantages of TF decomposition; specifically, the exact outlines of buildings can be effectively located, and more types of features (e.g., flat roofs, roads, and walls that are oblique to the radar illumination) can be distinguished from forests in complex built-up areas by 2-D TF decomposition. The coarser-resolution subaperture images that are produced in the azimuth direction, which correspond to different looking angles, are beneficial for detecting man-made structures with main scattering centers oriented at oblique angles with respect to the radar illumination. In the range direction, the obtained subaperture images, which correspond to various observation frequencies, can be helpful in distinguishing flat roofs and roads from forests. This method was successfully implemented to analyze both NASA/JPL L-band AIRSAR and L-band EMISAR data sets. The building detection results of the proposed method exhibit a significant improvement over those of other methods and reach an overall accuracy over 80%, with approximately 20% higher than the accuracies of K-means clustering and the entropy/alpha-Wishart classifier and approximately 10% higher than the accuracy of the support vector machine method. Moreover, building details can be precisely detected, obliquely oriented buildings can be identified, and the distinction between buildings and forests is significantly improved, as both visually and statistically indicated. This method is highly adaptable and has substantial application value. 相似文献