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1.
In waterlogged soils, dynamics of water influence the redox conditions and thus the mobility of elements. Irrigation of rice in Camargue (South eastern France) induces yearly dynamics of water. In order to determine the impact of irrigation on the geochemical properties of ground waters, a continuously in situ record of physico-chemical parameters (pH, Eh, temperature and electric conductivity) is performed during 1 year in an irrigated rice field. Seasonal dynamics show large Eh and pH variations. An annual irrigation cycle generates fast precipitations of Ca–Mg carbonates and Fe oxides between 50 and 110 cm depth when the soil is waterlogged. The dissolution of these minerals is initiated during a year without irrigation.  相似文献   
2.
Timely diagnosis of crop diseases in fields is critical for precision on-farm disease management. Remote sensing technology can be used as an effective and inexpensive method to identify diseased plants in a field scale. However, due to the diversity of crops and their associated diseases, application of the technology to agriculture is still in research stage, which needs to be elaborately investigated for algorithm development and standard image processing procedures. In this paper, we examined the applicability of broadband high spatial-resolution ADAR (Airborne Data Acquisition and Registration) remote sensing data to detect rice sheath blight and developed an approach to further explore the applicability. Based on the field symptom measurements, a comprehensive field disease index (DI) was constructed to measure infection severity of the disease and to relate to image sampled infections. In addition to direct band digital number (DN) values, band ratio indices and standard difference indices were used to examine possible correlations between field and image data. The results indicated that the broadband remote sensing imagery has the capability to detect the disease. Some image indices such as RI14, SDI14 and SDI24 worked better than others. A correlation coefficient above 0.62 indicated that these indices would be valuable to use for identification of the rice disease. In the validation analysis, we obtained a small root mean square error (RMS = 9.1), confirming the applicability of the developed method. Although the results were encouraging, it was difficult to discriminate healthy plants from light infection ones when DI < 20 because of their spectral similarities. Hence, it was clear that identification accuracy increases when infection reaches medium-to-severe levels (DI > 35). This phenomenon illustrated that remote sensing images with higher spectral resolution (more bands and narrower bandwidth) were required in order to further examine the capability of separating the light diseased plants from healthy plants.  相似文献   
3.
This paper describes palynological evidence for what appears to be comparatively large-scale human impact in the catchment of the Sungai Niah in the wet tropical lowland swamp forests of Sarawak, Malaysian Borneo close to the Great Cave of Niah. Pollen associated with cleared landscapes and rice cultivation is evident in the sedimentary record from before 6000 cal yr B.P. Human activity seems to have been associated with changes in sedimentary regime, with peat-dominated environments being replaced diachronously by clay-dominated deposition. This may reflect anthropogenic soil erosion in the catchment of the Sungai Niah.  相似文献   
4.
水稻生长模拟模式的研究   总被引:2,自引:0,他引:2       下载免费PDF全文
根据1989和1990年的田间试验资料,建立晚稻南粳34生长和产量形成的模拟模式。着重考虑光合作用、呼吸作用和生长等生物学过程。光合受辐射、温度和叶面积等因素影响,呼吸包括生长呼吸、维持呼吸和光呼吸,生长以净光合产物的分配转移模拟,产量形成以净光合产物积累模拟.结果表明,模拟值与实测值较为一致。  相似文献   
5.
介绍了四川水稻定向引种诊断系统(DSIRV)的设计思路,以及建立水稻气候生态、栽培模型的依据和方法。该系统在四川已投入生产应用,其引种诊断成功率达70%以上,比常规品比法进行引种缩短周期2—4年。  相似文献   
6.
广州地区稻田甲烷排放及中国稻田甲烷排放的空间变化   总被引:13,自引:0,他引:13  
1993年在广州地区采用中国科学院大气物理研究所研制的自动采集和分析系统测量了稻田甲烷的排放率,首次获得了占我国20-25%左右水稻收获面积的华南地区稻田甲烷排放特征值。从而宏观地使我国五个主要水稻生态区的甲烷排放率都有了实测资料。稻田甲烷排放率的季节变化主要与气温及灌溉水状态的变化的较大关系,日变化规律以下午出现极大为主。本实验田的甲烷排放率低。  相似文献   
7.
This study aimed to evaluate effectiveness and performance of several supervised neural network models and make pattern recognition on invertebrate habitat zones. Probabilistic, general regression, and linear neural networks, and discriminant analysis were used to recognize both known and unknown invertebrate habitat zones. The results showed that neural network models were better than traditional discriminant analysis in the recognition of known habitat zones. There was not distinctive variation in recognition from different neural network models. Sensitivity analysis indicated that the learning rate of the neural network would influence recognized results. An unknown invertebrate species from Lepidoptera was recognized to be soil-dweller (dryland) by both neural network models and discriminant analysis. In sensitivity analysis it was additionally recognized to be the type of plant canopy (terrestrial). Overall the species was estimated to be a soil-dweller (dryland) or live on plant canopy (terrestrial). It was concluded that neural network models can perform better than conventional statistic models in pattern recognition, but a comprehensive comparison among various models is necessary in order to achieve a high reliable recognition and prediction. Furthermore, sensitivity analysis can lead to an in-depth grasp on the mechanism in the recognition and is thus needed.  相似文献   
8.
中国南京与美国德克萨斯稻田甲烷排放的比较   总被引:8,自引:0,他引:8  
Field measurements of methane emission from rice paddies were made in Nanjing, China and in Texas, USA, respectively. Soil temperature at approximately 10 cm depth of the flooded soils was automatically recorded. Aboveground biomass of rice crop was measured approximately every 10 days in Nanjing and every other week in Texas. Seasonal variation of soil temperature in Nanjing was quite wide with a magnitude of 15.3℃ and that in Texas was narrow with a magnitude of 2.9℃. Analysis of methane emission fluxes against soil temperature and rice biomass production demonstrated that the seasonal course of methane emission in Nanjing was mostly attributed to soil temperature changes, while that in Texas was mainly related to rice biomass production. We concluded that under the permanent flooding condition, the seasonal trend of methane emission would be determined by the soil temperature where there was a wide variation of soil temperature, and the seasonal trend would be mainly determined by rice biomass production if there are no additional organic matter inputs and the variation of soil temperature over the rice growing season is small.  相似文献   
9.
廖圣东  廖其芳  李岩  何敬廉 《热带地理》2001,21(4):346-349,359
研究了在GSI支持下,Radarsat SNB-SAR数据用于广东省大范围水稻种植面积调查的方法与应用。首先,对SAR数据预处理,包括辐射校正、Frost滤波和几何精校正等;然后对预处理影像的后向散射值进行信息定量判断,结合GIS的辅助分析,剔除不可能是水稻信息的像元;最后对剔除非水稻信息后的影像进行最大似然法的有监分类,获取各区域水稻分布的影像并统计面积。结果表明,该方法对于大范围的水稻种植面积调查具有实用、快速的特点,其精度在平原地区具有较高的可靠性,山区因为地形的复杂性等原因尚需进一步研究以提高精度。  相似文献   
10.
以Exotech100BX光谱辐射计对不同类型水稻材料无肥处理本田期的监测结果表明,晚熟类型材料武育粳2号,冠层叶色显示出“三黑三黄”的变化节奏。“三黑”出现的时间是:移栽至分蘖末期,枝梗分化期至颖花分化期,花粉母细胞形成及减数分裂期至始穗期;“三黄”出现的时间是:分蘖末期至枝梗分化期,颖花分化期至花粉母细胞形成及减数分裂期,始穗至灌浆期。中熟类型材料汕优63,冠层叶色显示出“二黑二黄”的变化节奏。“二黑”出现的时间是:移栽至颖花分化期,花粉母细胞形成及减数分裂期至始穗期:“二黄”出现的时间是:颖花分化期至花粉母细胞形成及减数分裂期,始穗至灌浆期。早熟类型材料亚优2号,冠层叶色显示出“一黑一黄”的变化节奏。“一黑”出现的时间是:移栽至颖花分化期;“一黄”出现的时间是:颖花分化期至灌浆期。  相似文献   
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