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211.
Nowadays, NASA is producing several terabytes Moderate Resolution Imaging Spectroradiometer (MODIS) data everyday; how to find the data with criteria, such as specific times, locations, and scales using an international standard becomes more and more important. In this paper, a service-oriented architecture for use of the integration Earth Observation System Clearing-HOuse (ECHO) with the Open Geospatial Consortium (OGC) Catalogue Service—Web profile (CSW) is put forward. The architecture consists of three roles: a service requester (the user), a service provider (the ECHO metadata server), and a service broker (the GeoNetwork CSW and MODIS registry service middleware). The core component-MODIS registry service middleware includes three components: metadata fetcher, metadata transformer, and metadata register. The metadata fetcher is used to fetch metadata from ECHO metadata server; the metadata transformer is responsible for transform metadata from one form to another; the metadata register is in charge of registering ISO19139-based metadata to CSW. A prototype system is designed and implemented by using the service middleware technology and a standard interface and protocol. The feasibility and the response time of registry and retrieval of MODIS data are evaluated by means of a realistic LPDAAC_ECS MODIS data center. The implementation of this prototype system and the experiment show that the architecture and method is feasible and effective. 相似文献
212.
S. K. Goyal B. S. Chaudhary O. Singh G. K. Sethi P. K. Thakur 《Journal of the Indian Society of Remote Sensing》2010,38(2):355-364
The present study has analyzed the variability in depth to water level below ground level (bgl) vis-à-vis groundwater development
and rainfall from 1987 to 2007 in agriculture dominated Kaithal district of Haryana state in India. Spatial distribution of
groundwater depth was mapped and classified into different zones using ILWIS 3.6 GIS tools. Change detection maps were prepared
for 1987–1997 and 1997–2007. Groundwater depletion rates during successive decades were compared and critical areas with substantial
fall in groundwater levels were identified. Further, block wise trends of change in groundwater levels were also analyzed.
The water table in fresh belt areas of the district (Gulha, Pundri and Kaithal blocks) was observed to decline by a magnitude
ranging from 10 m to 23 m. In Kalayat and Rajaund blocks, the levels were found fluctuating in a relatively narrow range of
4–9 m. During 1997–2007, the depletion has been faster compared to the preceding decade. Excessive groundwater depletion in
major part of the district may be attributed to indiscriminate abstraction for irrigation and decrease in rainfall experienced
since 1998. Changes in cropping pattern and irrigation methods are needed in the study area for sustainable management of
the resource. 相似文献
213.
Approaches for delineating landslide hazard areas using different training sites in an advanced artificial neural network model 总被引:10,自引:0,他引:10
The current paper presents landslide hazard analysis around the Cameron area, Malaysia, using advanced artificial neural networks with the help of Geographic Information System (GIS) and remote sensing techniques. Landslide locations were determined in the study area by interpretation of aerial photographs and from field investigations. Topographical and geological data as well as satellite images were collected, processed, and constructed into a spatial database using GIS and image processing. Ten factors were selected for landslide hazard including: 1) factors related to topography as slope, aspect, and curvature; 2) factors related to geology as lithology and distance from lineament; 3) factors related to drainage as distance from drainage; and 4) factors extracted from TM satellite images as land cover and the vegetation index value. An advanced artificial neural network model has been used to analyze these factors in order to establish the landslide hazard map. The back-propagation training method has been used for the selection of the five different random training sites in order to calculate the factor’s weight and then the landslide hazard indices were computed for each of the five hazard maps. Finally, the landslide hazard maps (five cases) were prepared using GIS tools. Results of the landslides hazard maps have been verified using landslide test locations that were not used during the training phase of the neural network. Our findings of verification results show an accuracy of 69%, 75%, 70%, 83% and 86% for training sites 1, 2, 3, 4 and 5 respectively. GIS data was used to efficiently analyze the large volume of data, and the artificial neural network proved to be an effective tool for landslide hazard analysis. The verification results showed sufficient agreement between the presumptive hazard map and the existing data on landslide areas. 相似文献
214.
HWANG Chenway 《地球空间信息科学学报》2010,13(2):144-149
The quality of altimeter data and ocean tide model is critical to the recovery of coastal gravity anomalies. In this contribution, three retracking methods (threshold, improved threshold and Beta-5) are investigated with the aim of improving the altimeter data over a shallow water area. Comparison indicates that the improved threshold is the best retracking method over China Sea. Two ocean tide models, NAO99b and CSR4.0, are analyzed. Results show that different tide models used in the processing of altimeter data may result in differences more than 10 mGal in recovered coastal gravity anomalies. Also, NAO99b is more suitable than CSR4.0 over the shallow water area of China Sea. Finally, gravity anomalies over China Sea are calculated from retracked Geosat/GM and ERS-1/GM data by least squares collocation. Comparison with shipborne gravimetry data demonstrates that gravity anomalies from retracked data are significantly superior to those from non-retracked data. Our results have the same order as the other two altimeter-derived gravity models: Sandwell&Smith(V16) and DNSC08. 相似文献
215.
Mohammad Sharifikia 《Journal of the Indian Society of Remote Sensing》2010,38(4):708-716
Earthquakes cause huge loss of lives and infrastructure every year in Iran. Many settlement areas (urban & rural) as well
as Tehran, the capital city of Iran are located in the hazardous area. This research deals with the earthquake risk assessment
and mapping based on recent remote sensing information on a GIS platform. The study area is part of Central Alborz in southern
Caspian Sea and north of capital city of Tehran called Marzanabad area. It is a potentially high-risk zone as several earthquakes
have occurred in the past. The study’s main objective is to develop an Earthquake Risk Map at the scale of 1:25,000 to identify
high-risk zone and vulnerability areas to the settlements and infrastructure of area. Digital lineaments wear extraction and
analysis for identification the faults using several RADAR and optical images with spatial analysis techniques. The probable
faults were detected by superimposition of the lithological and geomorphologic features and their variance over the lineaments
in a GIS environment. This research work involved fault identification on the remote sensed dataset as well as field studies
and the risky areas were classified in the vicinity of the faults by applying different buffer with specifying distance of
the source/site of risk to fault location. Statistical analysis of Earthquake Risk Map (ERM) by GIS indicated that 32% of
the total area with about 66% of settlements and 52% of population is located in strongly high-risk and high-risk zone. Moderately
low risk and low risk zones cover 38.67% of total area, which is free of settlements as well as population. The Earthquake
map elaborated in this research work will be a useful tool for disaster management as well as urban and regional planning
of future activities in the area. 相似文献
216.
An Introduction to MODISI and SCMOD Methods for Correction of the MODIS Snow Assessment Algorithm 总被引:1,自引:0,他引:1
Mohammad Reza Mobasheri Hossein Shafizadeh Moghadam Siavosh Shayan 《Journal of the Indian Society of Remote Sensing》2010,38(4):674-685
Detection, monitoring and precise assessment of the snow covered regions is an important issue. Snow cover area and consequently
the amount of runoff generated from snowmelt have a significant effect on water supply management. To precisely detect and
monitor the snow covered area we need satellite images with suitable spatial and temporal resolutions where we usually lose
one for the other. In this study, products of two sensors MODIS and ASTER both on board of TERRA platform having low and high
spatial resolution respectively were used. The objective of the study was to modify the snow products of MODIS by using simultaneous
images of ASTER. For this, MODIS snow index image with high temporal resolution were compared with that of ASTER, using regression
and correlation analysis. To improve NDSI index two methods were developed. The first method generated from direct comparison
of ASTER averaged NDSI with those of MODIS (MODISI). The second method generated by dividing MODIS NDSI index into 10 codes
according to their percentage of surface cover and then compared the results with the difference between ASTER averaged and
MODIS snow indices (SCMOD). Both methods were tested against some 16 MODIS pixels. It is found that the precision of the MODISI
method was more than 96%. This for SCMOD was about 98%. The RMSE of both methods were as good as 0.02. 相似文献
217.
Michael Huettner Annette Freibauer Constanze Haug Uwe Cantner 《Carbon balance and management》2010,5(1):2
The 'Copenhagen Accord' fails to deliver the political framework for a fair, ambitious and legally-binding international climate
agreement beyond 2012. The current climate policy regime dynamics are insufficient to reflect the realities of topical complexity,
actor coalitions, as well as financial, legal and institutional challenges in the light of extreme time constraints to avoid
'dangerous' climate change of more than 2°C. In this paper we analyze these stumbling blocks for international climate policy
and discuss alternatives in order to regain momentum for future negotiations. 相似文献
218.
The grid DEM(digital elevation model) generation can be from any of a number of sources:for instance,analogue to digital conversion of contour maps followed by application of the TIN model,or direct elevation point modelling via digital photogrammetry applied to airborne images or satellite images.Currently,apart from the deployment of point-clouds from LiDAR data acquisition,the generally favoured approach refers to applications of digital photogrammetry.One of the most important steps in such deployment i... 相似文献
219.
Recently,the expertise accumulated in the field of geovisualization has found application in the visualization of abstract multidimensional data,on the basis of methods called spatialization methods.Spatialization methods aim at visualizing multidimensional data into low-dimensional representational spaces by making use of spatial metaphors and applying dimension reduction techniques.Spatial metaphors are able to provide a metaphoric framework for the visualization of information at different levels of gran... 相似文献
220.
The climate during the past hundreds of thousands of years has been characterized by a rather distinct periodicity of about 100000 yr with brief warming periods (interglacials) lasting approximately 10000–12000 yr. Today, mankind is living in an interglacial period that began about 11 ka ago. In light of the discussion about global warming observed in recent decades, which advocates of an anthropogenic impact associate with emission of greenhouse gases due to combustion of fossil fuel, the question arises concerning the duration of the current interglacial. The data available on climate change and solar radiation on a time scale of the last millions of years are critically analyzed in this article and the problem of the length of the current interglacial is discussed. 相似文献