白令海北部陆坡晚第四纪的古海洋与古气候学记录

白令海北部陆坡B2 9柱状样中放射虫Cycladophoradavisiana含量曲线和深海SPECMAP氧同位素记录的对比 ,为该柱状样建立了晚第四纪约 1 0万年以来的地层年代框架。该柱状样中微体化石、碳屑颗粒、筏冰碎屑 (石英和岩屑颗粒 )的定量分析结果表明 ,作为表层生产力指标的粗组份自氧同位素 5 .3期以来呈阶梯状增加 ,反映表层生产力阶段式的增长 ;碳屑颗粒丰度自氧同位素 5 .3期至末次冰消期的增加说明白令海末次冰消期以前气候较全新世干冷 ,天然火灾发生的概率较全新世大大增加 ;冰期和早、中全新世较高的筏冰碎屑反映了冰期和早、中全新世白令海陆架海冰的扩大以及气候转暖所导致的海冰消融的过程 ,揭示了白令海对过去全球气候变化的响应。     

高分辨率航空影像建筑物垂直边缘线提取技术研究

高分辨率航空影像建筑物垂直边缘线的提取在获取建筑物高度信息和检测建筑物过程中可以发挥重要的作用。分析建筑物垂直边缘线在遥感影像上的特性,在遥感影像边缘检测和细化基础上,利用带约束条件的Hough变换实现建筑物垂直边缘线的提取,通过实验验证该方法的可行性。     

OMIS-Ⅱ图像大气校正之FLAASH法与经验线性法的比较

对FLAASH法和经验线性法的大气校正效果进行评价.结果表明,FLAASH法和经验线性法均能很好地消除大部分大气的影响,满足试验要求.如果单从精度方面考虑,FLAASH法要略好于经验线性法.但FLAASH法的校正精度依赖于输入的大气参数和仪器定标精度,因而在实际应用中关键还要根据现有的数据情况选择合适的校正方法.     

OMIS-Ⅱ机载高光谱遥感图像边缘辐射畸变校正方法优选

OMIS-Ⅱ机载高光谱遥感成像由于受仪器、大气、地物反射非朗伯特性以及观测几何等的影响,图像上常存在扫描方向上的辐射亮度不均,无法直接利用图像进行基于地物光谱特征的定量或半定量应用。本研究尝试运用直方图匹配和矩匹配两种方法对OMIS-Ⅱ图像进行辐射校正,并从空间和光谱角度分析校正效果。研究表明:在空间维上,两种方法均能有效恢复图像边缘地物信息,校正效果没有显著差异;在光谱维上,矩匹配法更适合于机载高光谱OMIS-Ⅱ图像的边缘辐射校正。     

CAD数据与GIS数据的转换过程探讨

数据对土地信息系统(LIS)来说是至关重要的,数据质量的好坏是土地信息系统建设成败的关键。本文将探讨数据转换的一种方法。     

广西第二次土地调查自治区级数据库建设

基于MapGIS空间数据搜索引擎和Oracle数据库软件,对广西第二次土地调查自治级数据库进行设计,然后用MapGIS省级土地调查数据库管理系统对广西的所有县级调查成果进行整合处理入库,形成广西自治区级土地调查数据库,在此基础上掌握真实的土地基础数据,并对土地利用、土地权属、基本农田调查成果进行信息化、网络化管理。     

Exploring hyperspectral bands and estimation indices for leaf nitrogen accumulation in wheat

Hyperspectral sensing can provide an effective means for fast and non-destructive estimation of leaf nitrogen (N) status in crop plants. The objectives of this study were to design a new method to extract hyperspectral spectrum information, to explore sensitive spectral bands, suitable bandwidth and best vegetation indices based on precise analysis of ground-based hyperspectral information, and to develop regression models for estimating leaf N accumulation per unit soil area (LNA, g N m⁻²) in winter wheat (Triticum aestivum L.). Three field experiments were conducted with different N rates and cultivar types in three consecutive growing seasons, and time-course measurements were taken on canopy hyperspectral reflectance and LNA under the various treatments. Then, normalized difference spectral indices (NDSI) and ratio spectral indices (RSI) based on the original spectrum and the first derivative spectrum were constructed within the range of 350–2500 nm, and their relationships with LNA were quantified. The results showed that both LNA and canopy hyperspectral reflectance in wheat changed with varied N rates, with consistent patterns across different cultivars and seasons. The sensitive spectral bands for LNA existed mainly within visible and near infrared regions. The best spectral indices for estimating LNA in wheat were found to be NDSI (R₈₆₀, R₇₂₀), RSI (R₉₉₀, R₇₂₀), NDSI (FD₇₃₆, FD₅₂₆) and RSI (FD₇₂₅, FD₅₁₆), and the regression models based on the above four spectral indices were formulated as Y = 26.34x^1.887, Y = 5.095x − 6.040, Y = 0.609 e^3.008x and Y = 0.388x^1.260, respectively, with R² greater than 0.81. Furthermore, expanding the bandwidth of NDSI (R₈₆₀, R₇₂₀) and RSI (R₉₉₀, R₇₂₀) from 1 nm to 100 nm at 1 nm interval produced the LNA monitoring models with similar performance within about 33 nm and 23 nm bandwidth, respectively, over which the statistical parameters of the models became less stable. From testing of the derived equations, the model for LNA estimation on NDSI (R₈₆₀, R₇₂₀), RSI (R₉₉₀, R₇₂₀), NDSI (FD₇₃₆, FD₅₂₆) and RSI (FD₇₂₅, FD₅₁₆) gave R² over 0.79 with more satisfactory performance than previously reported models and physical models in wheat. It can be concluded that the present hyperspectral parameters of NDSI (R₈₆₀, R₇₂₀), RSI (R₉₉₀, R₇₂₀), NDSI (FD₇₃₆, FD₅₂₆) and RSI (FD₇₂₅, FD₅₁₆) can be reliably used for estimating LNA in winter wheat.     

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Study of double combination evaluation of urban comprehensive disaster risk

Natural Hazards - Aiming at solving the difficult problem of inconsistent single-method evaluation results in comprehensive disaster risk assessment, this paper presents an evaluation method based...     

The Impact of Soil Freezing/Thawing Processes on Water and Energy Balances

A frozen soil parameterization coupling of thermal and hydrological processes is used to investigate how frozen soil processes affect water and energy balances in seasonal frozen soil. Simulation results of soil liquid water content and temperature using soil model with and without the inclusion of freezing and thawing processes are evaluated against observations at the Rosemount field station. By comparing the simulated water and heat fluxes of the two cases, the role of phase change processes in the water and energy balances is analyzed. Soil freezing induces upward water flow towards the freezing front and increases soil water content in the upper soil layer. In particular, soil ice obviously prevents and delays the infiltration during rain at Rosemount. In addition, soil freezingthawing processes alter the partitioning of surface energy fluxes and lead the soil to release more sensible heat into the atmosphere during freezing periods.