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181.
Subdivision and fragmentation of land holdings and their implication in desertification in the Thar Desert, India 总被引:1,自引:0,他引:1
Analysis of data at the household level in Khabra Kalan village in the Thar desert of India revealed that the land holding size is halved every 20–30 years due to subdivision of land holdings. The subdivision is caused by the equal sharing among sons at the time of inheritance based on the succession laws, and attributed to the increase in the village population. The shrinking land holdings resulted in a shortfall of food on small farms; 12% in cereals and 42% in pulses, promoted continuous cultivation and the increase of monoculture, and deteriorated the land productivity through its effect on the soil fertility and land management. 相似文献
182.
K M Saini T K Deb P P Mitra S G Ghatol A K Sen N C Saha S N Das 《Journal of the Indian Society of Remote Sensing》1999,27(1):23-30
Land degradation in Puruliya district, West Bengal was assessed using remote sensing techniques. Analysis of satellite data (False Colour Composite in 1:50,000 scale) was carried out visually and subsequent ground verification and translation of imgae interpretation units into various categories of degraded lands. The results indicate that 31.8 per cent area of the district suffers from one or the other kind of land degradation. Water induced soil erosion is the major problem which accounts for 31.3 per cent area of the district. Land degradation due to waterlogging is limited to only 0.3 per cent area whereas 0.2 per cent area is degraded due to rock quarries, brick kiln and indus-trial effluents. 相似文献
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The mixed pixels are treated as noise or uncertainty in class allocation of a pixel and conventional hard classification algorithms
may thus produce inaccurate classification outputs. Thus application of sub-pixel or soft classification methods have been
adopted for classification of images acquired in complex and uncertain environment. The main objective of this research work
has been to study the effect of feature dimensionality using statistical learning classifier — support vector machine (SVM
with sigmoid kernel) while using different single and composite operators in fuzzy-based error matrixes generation. In this
work mixed pixels have been used at allocation and testing stages and sub-pixel classification outputs have been evaluated
using fuzzy-based error matrixes applying single and composite operators for generating matrix. As subpixel accuracy assessment
were not available in commercial software, so in-house SMIC (Sub-pixel Multispectral Image Classifier) package has been used.
Data used for this research work was from HySI sensor at 506 m spatial resolution from Indian Mini Satellite-1 (IMS-1) satellite
launched on April 28, 2008 by Indian Space Research Organisation using Polar Satellite Launch Vehicle (PSLV) C9, acquired
on 18th May 2008 for classification output and IRS-P6, AWIFS data for testing at sub-pixel reference data. The finding of this research
illustrate that the uncertainty estimation at accuracy assessment stage can be carried while using single and composite operators
and overall maximum accuracy was achieved while using 40 (13 to 52 bands) band data of HySI (IMS-1). 相似文献
186.
利用Landsat TM和IRS P6 LISS III卫星影像及GIS对耕地和耕种模式的时空动态分析(英文) 总被引:2,自引:0,他引:2
The study of the spatial patterns and temporal changes of cropland is important to understand the underlying factors and the
functional effects of the agricultural landscape. On the other hand, crop dynamics mapping is essential to know the overall
agro-spatial diversity of the area. Therefore, this paper addressed a spatio-temporal analysis of cropland and cropping pattern
change in the Bogra district of Bangladesh over the last 16 years (between 1988/89 and 2004/05). In this paper, crop mapping
from multi-temporal and multi-sensor satellite images was described. Landsat TM and IRS P6 LISS III satellite images were
used with GIS for spatial dynamics of cropland and cropping pattern change analysis. First, seasonal cropland maps were derived
from object-based classification of satellite images, then two-date classified image differencing with GIS overlay technique
and decision rules were applied. Cropping pattern change was analyzed in a spatial and quantitative way for the 16 years and
for this, Integrated Land and Water Information System (ILWIS) and Land Change Modular (LCM) of IDRISI Andes were used. The
results showed that in the area, mono crop cultivation was found in summer, but in winter, areas under different crop cultivation
had changed dramatically. Change analysis showed that the changes mainly occurred in the north northwest and southwest of
the areas, and during the time the highest change area was found under the rice-potato pattern.
相似文献
187.
Saha Debasree Chatterjee Debashis Chakravarty Sanchita Roychowdhury Tarit 《Natural Resources Research》2019,28(4):1505-1520
Natural Resources Research - The bituminous-to-sub-bituminous quality feed coals of thermal power plants contain several environmental-concern trace elements (As, Se, Ni, Cr, Zn, Pb, Cu, Cd, Co and... 相似文献
188.
Anupam Ghosh Sourav Saha Pratul Kumar Saraswati Santanu Banerjee Stuart Burley 《Marine and Petroleum Geology》2009,26(8):1592-1599
The Gulf of Cambay is a macro-tidal estuarine embayment lying in an active monsoon zone characterized by a high annual sediment load. The present study examines the distribution of foraminifera in the Narmada and Tapti estuaries of the Gulf in order to use these as analogues for the study of palaeo-macro-tidal estuarine environments and as a means of recording the extent of sea-level change in estuarine settings. Foraminifera are widely distributed in sand flats, mud flats and marshes at the mouths of the estuaries. The overall foraminiferal assemblage is low diversity, comprising epifaunal and infaunal taxa dominated by Ammonia, Murrayinella, Haynesina, Quinqueloculina, Nonion, Cibicides, Cibicidoides, Elphidium, Trochammina and Miliammina. The triserial planktonic foraminifer Gallitellia vivans, an indicator of stressed and up-welling areas, is also recorded in the intertidal sediments of the estuaries. These foraminifera are carried into estuaries up to 50 km up the river mouths by the strong tidal currents in the bay. Three biofacies are recognized: Trochammina–Miliammina biofacies (high marsh); Murrayinella-Haynesina biofacies (low marsh and mud flats) and Ammonia-Elphidium-Quinqueloculina biofacies (shallow marine). 相似文献
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