Mosaic desert pavement influences water infiltration and vegetation distribution on fluvial fan surfaces

Desert pavements (DPs) are critical for maintaining ecological stability and promoting near-surface hydrological cycling in arid regions. However, few studies have focused on eco-hydrological processes of DPs in the ecological systems of fluvial fans. Although DP surfaces appear to be barren and flat, we found that the surfaces are characterized by surface mosaic patterns of desert pavement (mosaic DP) and bare ground (mosaic BG). We investigated the effects of mosaic DP on water infiltration and vegetation distribution at six sites in fluvial fans (one on a hillside and five within the sectors of fans) along a southwest belt transect in northern Linze County, in the central Hexi Corridor (China). We found significant differences in mosaic DP between the hillside and sector sites in terms of pavement thickness and vesicular horizon thickness (Av thickness), particle composition, and bulk density, although significant differences were absent for mass soil water content, gravel coverage, and surface gravel size. The mosaic DP inhibited water infiltration by the pavement layer, where the sorptivity (S), initial infiltration rate (i_int), steady-state infiltration rate (i_sat) and infiltration time (T) averaged 1.19 cm/min^-0.5, 0.64 cm/min, 0.13 cm/min and 12.76 min, respectively. Where the pavement layer was scalped, the S, i_int, and i_sat increased by 0.27 cm/min^-0.5, 0.52 cm/min, and 0.40 cm/min, respectively, and the T reduced by 7.42 min. Water infiltration was mainly controlled by the pavement layer thickness (+), Av thickness (−), surface gravel coverage (−), fine earth (+) and fine gravel (−) in the pavement layer. The DP surfaces only had a sparse covering of shrubs, but an abundance of herbs. Few shrubs were present on the mosaic DP, but a greater number of shrubs and herbs grew on the mosaic BG. It can be concluded that DPs can maintain vegetation stability for different surface mosaic patterns. This study deepens our understanding of the eco-hydrological cycle of DP landscapes in arid regions.     

Systematic variation of soil infiltration rates within and between the components of the vegetation mosaic in an Australian desert landscape

Vegetation mosaics have commonly been thought to include two principal zones with distinctly different hydrology: relatively bare and impermeable runoff source zones (intergroves) and more strongly absorbing vegetated runon zones (groves). However, the data required to verify the internal uniformity of hydrologic response within these components of mosaic landscapes have been lacking, as have data on the nature (abrupt or gradational) of the boundaries between them. This study examines the degree of internal uniformity of key soil properties in the intergroves and groves of an Australian vegetation mosaic. Infiltration rates, soil water content, shear strength, bulk density and texture were determined at intervals of 1·5–2·5 m across several grove–intergrove cycles of an Australian banded shrubland. Results demonstrate that order‐of‐magnitude variability in soil infiltration rates can occur across intergroves, with lesser variation in groves. Patterns of infiltration are systematically related to slope position. Rates are relatively high in the uppermost parts of the intergrove, and fall to low values only in the lowermost intergrove where soils are mechanically strong. Infiltration rates increase rapidly from the lowermost intergrove to reach maxima within the upper to middle grove, from where rates once again decline toward the next intergrove. However, there is only a gradational change in infiltration rates across the pioneer zone–grove boundary, which is the sharpest of the mosaic boundaries when identified using plant cover data. Hydrologic models built on the presumption that mapped plant cover units are equally distinct hydrologically may need to be refined to incorporate the presence of systematic internal variability of infiltration rates and gradational change in soil hydraulic properties. Copyright © 2002 John Wiley & Sons, Ltd.     

利用DPGrid系统制作1∶500正射影像图

利用了DPGrid系统,实现了新疆奎屯市城区1∶500数字正射影像图生产,试验表明其可以实现城市大比例尺数字正射影像图的高效率生产。     

基于网格模板的最小欧式距离准则图像自动拼接技术

提出一种结合网格模板和最小欧式距离准则的图像自动拼接方法。方法选取图像重叠部分作为处理对象，运用边缘检测自动获取基准图像特征块，并提出基于网格模板的最小欧式距离准则用于计算匹配点，最后使用图像融合技术消除接缝。应用证明该方法拼接准确快速，实现简单，适合大部分图像拼接应用的需要。     

Linking pesticides and human health: A geographic information system (GIS) and Landsat remote sensing method to estimate agricultural pesticide exposure

Accurate pesticide exposure estimation is integral to epidemiologic studies elucidating the role of pesticides in human health. Humans can be exposed to pesticides via residential proximity to agricultural pesticide applications (drift). We present an improved geographic information system (GIS) and remote sensing method, the Landsat method, to estimate agricultural pesticide exposure through matching pesticide applications to crops classified from temporally concurrent Landsat satellite remote sensing images in California. The image classification method utilizes Normalized Difference Vegetation Index (NDVI) values in a combined maximum likelihood classification and per-field (using segments) approach. Pesticide exposure is estimated according to pesticide-treated crop fields intersecting 500 m buffers around geocoded locations (e.g., residences) in a GIS. Study results demonstrate that the Landsat method can improve GIS-based pesticide exposure estimation by matching more pesticide applications to crops (especially temporary crops) classified using temporally concurrent Landsat images compared to the standard method that relies on infrequently updated land use survey (LUS) crop data. The Landsat method can be used in epidemiologic studies to reconstruct past individual-level exposure to specific pesticides according to where individuals are located.     

The global rainforest mapping project JERS-1:a paradigm of international collaboration for monitoring land cover change

The Global Rainforest Mapping (GRFM) project was initiated in 1995 and, through a dedicated data acquisition policy by the National Space Development Agency of Japan (NASDA), data acquisitions could be completed within a 1.5-year period, resulting in a spatially and temporally homogeneous coverage to contain the entire Amazon Basin from the Atlantic to the Pacific; Central America up to the Yucatan Peninsular in Mexico; equatorial Africa from Madagascar and Kenya in the east to Sierra Leone in the west; and Southeast Asia, including Papua New Guinea. To some extent, GRFM project is an international endeavor led by NASDA, with the goal of producing spatially and temporally contiguous Synthetic Aperture Radar (SAR) data sets over the tropical belt on the Earth by use of the JERS-1 L-band SAR, through the generation of semi-continental, 100m resolution, image mosaics. The GRFM project relies on extensive collaboration with the National Aeronautics and Space Administration (NASA), the Joint Research Center of the European Commission (JRC) and the Japanese Ministry of International Trade and Industry (MITI) for data acquisition, processing, validation and product generation. A science program is underway in parallel with product generation. This involves the agencies mentioned above, as well as a large number of international organizations, universities and individuals to perform field activities and data analysis at different levels.     

富氏谱分析法模拟地壳垂直运动的地学依据及其策应力模型

应用地壳波浪与镶嵌构造学说对富氏谱分析法提取地壳垂直形变信息的科学性做了地质学意义上的阐释 ,并提出了根据多期形变资料提取特定波段上构造策应力的数学模型     

海洋测绘中影像图与港口航道图的镶嵌技术运用

文中介绍陆地影像图与港口航道图镶嵌的制图工艺,影像图与港口航道图镶嵌后的成图质量评价。简单阐述了作者在绘制该图种过程中的一些体会,以及影像图取代现有港口航道图上陆地地形的可行性。     

基于SWAN和LAPS产品的人影作业参数自动估算方法研究

利用SWAN 的雷达三维拼图和LAPS的特征层数据,通过自动化处理,进行人影作业临近预警和目标云识别,并计算用弹量、距离目标云最近的作业点及其发射方位角和距离,给出作业高度参考,最后生成人工增雨和防雹的作业技术参数产品。通过与实际作业情况比较发现,人工增雨防雹作业技术参数产品可提前60 ～30 min发出预警,提前30 ～0min计算出作业技术参数;预警报给出的作业站点基本都在目标云移动路径上,作业技术参数与实况基本相符;火箭弹用量误差在鄂西山区为0% ～5.6% ,鄂东孝感、黄冈等地误差25 % ～55 .5% 。运用该方法指导人工增雨和防雹作业,能够实现作业决策自动化和定量化,取得较好效果,对市县人影作业有一定指导意义。     

COMPUTER-ASSISTED TERRAIN STRATIFICATION

Terrain influences many ecological processes. Therefore, ecologists must consider terrain effects in sampling designs. Incomplete information on the ecological role of terrain, however, makes it difficult to account for terrain variability in sample designs. As a partial solution, we introduce a protocol that automatically stratifies complex terrain. This stratification method uses image-processing techniques to cluster digital images of slope, elevation, and aspect into homogeneous groupings. The technique is demonstrated for a stratification of complex terrain disturbed by a large forest fire. By identifying terrain complexity at several spatial resolutions, we were able to place transects that sample terrain variability and fire severity representatively across a controlled range of scales. [Key words: terrain, stratification, image processing, sample design.]