首页> 外文期刊>Catena: An Interdisciplinary Journal of Soil Science Hydrology-Geomorphology Focusing on Geoecology and Landscape Evolution >Imaging analysis of biological soil crusts to understand surface heating properties in the Mojave Desert of California
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Imaging analysis of biological soil crusts to understand surface heating properties in the Mojave Desert of California

机译:生物土壳的成像分析,了解加利福尼亚州莫哈韦沙漠地表加热特性

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摘要

Biological soil crusts (biocrusts) are composed of a combination of cyanobacteria, green algae, lichens, and mosses that can protect arid soil surfaces from erosive forces. The presence of biocrusts in desert regions is influenced by a complex interaction of climatic, edaphic, and topographic variables, but their distribution and coverage densities in southern California deserts are not precisely mapped. Visible satellite bands (red-green-blue; RGB) and infra-red image resolution are generally too coarse to distinguish between biocrusts and their interstitial sand substrates, limiting most remote sensing analysis of these soil biotic assemblages. The purpose of this study was to better understand the relationships between biocrust cover, surface coloration and roughness, and the thermal infra-red (TIR) emission properties of biocrusts to determine if new types of imaging of desert surfaces could be used to more accurately detect biocrust presence. Based on the results from megapixel digital photos and TIR imaging for nearly 130 different, well-developed biocrust surfaces in the Mojave and Lower Colorado Deserts of California, we designed laboratory heating experiments to test the effect of biocrust cover on the heating properties of sandy wash habitats. Biocrust samples collected from the field were subjected to artificial heating and cooling to simulate the Mojave Desert diurnal cycle. We used image segmentation algorithms to separate true-color biocrust images from their sandy substrates, and to map the heating and cooling patterns of these surfaces with different levels of biocrust coloration and roughness. The major findings of this study showed that biocrust patch images in the field had Red texture mean values between digital numbers of 95 and 131 with moderate positive tail shewness levels, indicative of a highly rugose surface of the biocrust cover. Such patches were also well-compacted overall, with moderate skewness toward negative tails. In controlled laboratory temperature experiments to simulate the desert diurnal cycle, surface wetting with a fine mist of water resulted in significantly lower peak surface temperatures of biocrust samples compared to dry biocrust heating results of the same crust and sand samples. The findings of this study can improve future mapping for lichen-dominated biocrust surfaces in the Mojave Desert.
机译:生物土壤结皮(Biocusts)由蓝藻、绿藻、地衣和苔藓组成,可以保护干旱土壤表面免受侵蚀。沙漠地区生物壳的存在受到气候、土壤和地形变量复杂相互作用的影响,但南加州沙漠中生物壳的分布和覆盖密度没有精确的地图。可见卫星波段(红-绿-蓝;RGB)和红外图像分辨率通常过于粗糙,无法区分生物壳及其间隙沙基质,限制了对这些土壤生物组合的大多数遥感分析。本研究的目的是更好地了解生物锈覆盖、表面着色和粗糙度之间的关系,以及生物锈的热红外(TIR)发射特性,以确定是否可以使用沙漠表面的新型成像来更准确地检测生物锈的存在。基于加利福尼亚州莫哈韦和科罗拉多州下沙漠近130个不同、发育良好的生物锈表面的百万像素数码照片和TIR成像结果,我们设计了实验室加热实验,以测试生物锈覆盖物对沙洗栖息地加热特性的影响。从野外采集的生物锈样本进行人工加热和冷却,以模拟莫哈韦沙漠的日循环。我们使用图像分割算法将真彩色生物锈图像从沙质基质中分离出来,并将这些表面的加热和冷却模式映射为不同程度的生物锈颜色和粗糙度。这项研究的主要发现表明,现场的生物锈斑图像的红色纹理平均值介于数字95和131之间,具有中等的正尾脱落水平,表明生物锈覆盖物的表面高度粗糙。这些斑块总体上也很紧凑,向负尾方向有适度的倾斜。在模拟沙漠日循环的受控实验室温度实验中,与相同地壳和沙子样品的干燥生物锈加热结果相比,细水雾的表面润湿导致生物锈样品的峰值表面温度显著降低。这项研究的发现可以改善未来莫哈韦沙漠地衣为主的生物锈表面的测绘。

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