关键词: Classification Combination Extraction Maps Vectorization

Mesh : Algeria Environmental Monitoring / methods Remote Sensing Technology Agriculture / methods Conservation of Natural Resources / methods Satellite Imagery Geographic Information Systems

来  源:   DOI:10.1007/s10661-024-12757-1

Abstract:
Worldwide, the majority of countries are actively devising strategies to address the challenges associated with unregulated and unmanageable development, the decline in environmental quality and the depletion of valuable agricultural land. This has led to a growing emphasis on understanding land use and land cover. In order to determine a better land use policy, legislators and planners need to know the current distribution of agricultural and urban lands, as well as information about changes in their proportions. Our approach combines data centred on main four themes-geology, slope gradient, hydrographic network and land use-in order to exploit classifier complementarities in our targeted agricultural study area of Tamlouka Basin, Algeria. Landsat 8 OLI-TIRs multispectral imagery and Shuttle Radar Topography Mission (SRTM-1arc v3) were used experimentally for classification and Digital Elevation Model (DEM) analysis. The classification\'s accuracy is confirmed by comparing the results of the decision tree classification with the validation samples. Results of the combination of several maps of classifications from the different methods show that the Tamlouka alluvial plain, having an area of 19,300 ha and an average slope gradient of less than 2°, drains the elevated reliefs that surround it via hydrographic network. The plain occupies 37% of the total basin area, with over of 60% being used for crop cultivation, regardless of fallow land areas in agricultural rotation at that time. The slope has been identified as a crucial factor determining land use patterns in the study area. This result can be used in prospective watershed management.
摘要:
全球,大多数国家正在积极制定战略,以应对与不受管制和无法控制的发展有关的挑战,环境质量的下降和宝贵的农业用地的枯竭。这导致人们越来越重视了解土地利用和土地覆盖。为了确定更好的土地利用政策,立法者和规划者需要了解农业和城市土地的当前分布,以及它们比例变化的信息。我们的方法结合了以四个主要主题为中心的数据——地质学,坡度,水文网络和土地利用-为了在Tamlouka盆地的目标农业研究区域中利用分类器的互补性,阿尔及利亚。Landsat8OLI-TIR多光谱图像和航天飞机雷达地形任务(SRTM-1arcv3)被实验用于分类和数字高程模型(DEM)分析。通过将决策树分类的结果与验证样本进行比较来确认分类的准确性。来自不同方法的几种分类图的组合结果表明,Tamlouka冲积平原,面积为19,300公顷,平均坡度小于2°,通过水文网络排出围绕它的高架浮雕。平原占流域总面积的37%,超过60%用于作物种植,不管当时农业轮作的休耕土地面积。坡度已被确定为决定研究区域土地利用方式的关键因素。该结果可用于预期流域管理。
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