Abstract This study detected, mapped and analysed lineaments from Landsat-8 satellite images of the coastal area of Kribi-Campo, Cameroon. Kribi, a fast-growing coastal city with a youthful population whose main industry is agriculture, is currently under great pressure due to the influx of internally displaced persons, victims of the current socio-political crisis in the western part of Cameroon. With the growing demand for food and water resources, it has been reported that saline soils and groundwater are affecting the agricultural productivity and domestic water supply of the area. This paper investigates the lineaments network in this area to understand its spatial distribution, its extent and the potential effect on inland intrusion of saline water. The datasets, including Landsat-8 imagery, geological data and a digital elevation model were processed using principal component analysis and filtering techniques. Linear features were enhanced based on textural changes of false colour composite images to describe fractures, faults and hydrology features. 390 effective lineaments were extracted automatically and manually from those images and interpreted for length, density and orientation using statistical analysis. But before this processing, non-effective lineaments that may correspond to terraces, linear valleys, cliffs, tonal contrast as well as other human activities have been deleted. They range in length from 95 to 4910 m with an average of 1171 m. Although the lineaments are not isotropic, their perpendicular orientations to the beach predict an important plausible intrusion of salinity into regional groundwater resources and farmlands. The paper presents a combined technique of geospatial and statistical analysis in the interpretation of lineament effects which have the potential to inform on salinity intrusion in coastlands. Values of electrical conductivity of 50 groundwater samples collected in the study area range from 7429 to 12028 µS/cm and confirm this hypothesis.

中文翻译：

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喀麦隆 Kribi-Campo 海岸盐分侵入线的地理空间和统计解释

摘要 本研究从喀麦隆 Kribi-Campo 沿海地区的 Landsat-8 卫星图像中检测、绘制和分析了线条。克里比是一个快速发展的沿海城市，人口年轻，主要产业是农业，由于国内流离失所者的涌入，喀麦隆西部当前社会政治危机的受害者，目前正面临巨大压力。随着对食物和水资源的需求不断增长，据报道盐渍土和地下水正在影响该地区的农业生产力和生活用水供应。本文调查了该地区的线状网络，以了解其空间分布、范围以及对咸水内陆入侵的潜在影响。数据集，包括 Landsat-8 影像，使用主成分分析和过滤技术处理地质数据和数字高程模型。基于假彩色合成图像的纹理变化增强线性特征，以描述裂缝、断层和水文特征。从这些图像中自动和手动提取了 390 条有效线条，并使用统计分析解释了长度、密度和方向。但在此处理之前，可能与梯田、线性山谷、悬崖、色调对比以及其他人类活动相对应的无效线条已被删除。它们的长度从 95 米到 4910 米不等，平均为 1171 米。虽然线条不是各向同性的，它们与海滩的垂直方向预示着盐分可能会侵入区域地下水资源和农田。本文介绍了一种地理空间和统计分析相结合的技术，用于解释有可能为海岸带盐分入侵提供信息的线性效应。在研究区收集的 50 个地下水样品的电导率值范围从 7429 到 12028 µS/cm，证实了这一假设。