全文获取类型
收费全文 | 10350篇 |
免费 | 1093篇 |
国内免费 | 1270篇 |
专业分类
测绘学 | 3793篇 |
大气科学 | 771篇 |
地球物理 | 964篇 |
地质学 | 3161篇 |
海洋学 | 1085篇 |
天文学 | 42篇 |
综合类 | 1003篇 |
自然地理 | 1894篇 |
出版年
2024年 | 24篇 |
2023年 | 83篇 |
2022年 | 404篇 |
2021年 | 485篇 |
2020年 | 483篇 |
2019年 | 487篇 |
2018年 | 360篇 |
2017年 | 500篇 |
2016年 | 487篇 |
2015年 | 508篇 |
2014年 | 554篇 |
2013年 | 693篇 |
2012年 | 575篇 |
2011年 | 596篇 |
2010年 | 501篇 |
2009年 | 588篇 |
2008年 | 610篇 |
2007年 | 659篇 |
2006年 | 583篇 |
2005年 | 531篇 |
2004年 | 494篇 |
2003年 | 393篇 |
2002年 | 373篇 |
2001年 | 319篇 |
2000年 | 247篇 |
1999年 | 182篇 |
1998年 | 205篇 |
1997年 | 183篇 |
1996年 | 113篇 |
1995年 | 84篇 |
1994年 | 83篇 |
1993年 | 59篇 |
1992年 | 83篇 |
1991年 | 39篇 |
1990年 | 33篇 |
1989年 | 18篇 |
1988年 | 17篇 |
1987年 | 10篇 |
1986年 | 13篇 |
1985年 | 12篇 |
1984年 | 13篇 |
1983年 | 3篇 |
1982年 | 5篇 |
1981年 | 1篇 |
1980年 | 3篇 |
1979年 | 1篇 |
1978年 | 6篇 |
1977年 | 9篇 |
1954年 | 1篇 |
排序方式: 共有10000条查询结果,搜索用时 15 毫秒
91.
中国海域的天然气水合物资源 总被引:12,自引:7,他引:5
天然气水合物是甲烷等天然气在高压、低温条件下形成的冰状固体物质。据估算,全球天然气水合物中碳的含量等于石油、煤等化石能源中碳含量的2倍。在人类面临化石能源即将枯竭的时候,各国科学家和政府都把目光投向这一未来能替代化石能源的新能源。新生代构造演化历史、沉积条件、沉积环境等显示,南海具有生成和蕴藏巨大天然气水合物资源的条件;南海海域的地震反射剖面多处显示存在BSR反射波;2007年已钻探见到水合物样品。东海冲绳海槽在第四纪的沉积速率高(10~40cm/ka),槽坡存在泥底辟构造和断裂活动,从上新世以来发生过两次构造运动,这些对天然气水合物的形成是十分有利的;因此,中国海域的天然水合物资源是十分丰富的,在不远的将来它可能成为新的替代能源。 相似文献
92.
93.
J.G.P.W. Clevers L. KooistraM.E. Schaepman 《International Journal of Applied Earth Observation and Geoinformation》2008
Canopy water content (CWC) is important for mapping and monitoring the condition of the terrestrial ecosystem. Spectral information related to the water absorption features at 970 nm and 1200 nm offers possibilities for deriving information on CWC. In this study, we compare the use of derivative spectra, spectral indices and continuum removal techniques for these regions. Hyperspectral reflectance data representing a range of canopies were simulated using the combined PROSPECT + SAILH model. Best results in estimating CWC were obtained by using spectral derivatives at the slopes of the 970 nm and 1200 nm water absorption features. Real data from two different test sites were analysed. Spectral information at both test sites was obtained with an ASD FieldSpec spectrometer, whereas at the second site HyMap airborne imaging spectrometer data were also acquired. Best results were obtained for the derivative spectra. In order to avoid the potential influence of atmospheric water vapour absorption bands the derivative of the reflectance on the right slope of the canopy water absorption feature at 970 nm can best be used for estimating CWC. 相似文献
94.
95.
Jianqiang Ren Zhongxin Chen Qingbo Zhou Huajun Tang 《International Journal of Applied Earth Observation and Geoinformation》2008,10(4):403
The significance of crop yield estimation is well known in agricultural management and policy development at regional and national levels. The primary objective of this study was to test the suitability of the method, depending on predicted crop production, to estimate crop yield with a MODIS-NDVI-based model on a regional scale. In this paper, MODIS-NDVI data, with a 250 m resolution, was used to estimate the winter wheat (Triticum aestivum L.) yield in one of the main winter-wheat-growing regions. Our study region is located in Jining, Shandong Province. In order to improve the quality of remote sensing data and the accuracy of yield prediction, especially to eliminate the cloud-contaminated data and abnormal data in the MODIS-NDVI series, the Savitzky–Golay filter was applied to smooth the 10-day NDVI data. The spatial accumulation of NDVI at the county level was used to test its relationship with winter wheat production in the study area. A linear regressive relationship between the spatial accumulation of NDVI and the production of winter wheat was established using a stepwise regression method. The average yield was derived from predicted production divided by the growing acreage of winter wheat on a county level. Finally, the results were validated by the ground survey data, and the errors were compared with the errors of agro-climate models. The results showed that the relative errors of the predicted yield using MODIS-NDVI are between −4.62% and 5.40% and that whole RMSE was 214.16 kg ha−1 lower than the RMSE (233.35 kg ha−1) of agro-climate models in this study region. A good predicted yield data of winter wheat could be got about 40 days ahead of harvest time, i.e. at the booting-heading stage of winter wheat. The method suggested in this paper was good for predicting regional winter wheat production and yield estimation. 相似文献
96.
S. Fritz M. Massart I. Savin J. Gallego F. Rembold 《International Journal of Applied Earth Observation and Geoinformation》2008,10(4):453
Recent developments in remote sensing technology, in particular improved spatial and temporal resolution, open new possibilities for estimating crop acreage over larger areas. Remotely sensed data allow in some cases the estimation of crop acreage statistics independently of sub-national survey statistics, which are sometimes biased and incomplete. This work focuses on the use of MODIS data acquired in 2001/2002 over the Rostov Oblast in Russia, by the Azov Sea. The region is characterised by large agricultural fields of around 75 ha on average. This paper presents a methodology to estimate crop acreage using the MODIS 16-day composite NDVI product. Particular emphasis is placed on a good quality crop mask and a good quality validation dataset. In order to have a second dataset which can be used for cross-checking the MODIS classification a Landsat ETM time series for four different dates in the season of 2002 was acquired and classified. We attempted to distinguish five different crop types and achieved satisfactory and good results for winter crops. Three hundred and sixty fields were identified to be suitable for the training and validation of the MODIS classification using a maximum likelihood classification. A novel method based on a pure pixel field sampling is introduced. This novel method is compared with the traditional hard classification of mixed pixels and was found to be superior. 相似文献
97.
98.
99.
100.