首页> 外文会议>International conference on environmental and computer science >Development of Land Suitability Model for Irrigation Management (LSM) Using Remote Sensing, GIS, GPS and Field Studies: A Case study of a Part of Nagarjunasagar Command Area, Andhra Pradesh, INDIA.
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Development of Land Suitability Model for Irrigation Management (LSM) Using Remote Sensing, GIS, GPS and Field Studies: A Case study of a Part of Nagarjunasagar Command Area, Andhra Pradesh, INDIA.

机译:利用遥感,GIS,GPS和现场研究的灌溉管理(LSM)土地适宜性模型的开发 - 以印度安德拉邦的Nagarjunasagar命令区的一部分为例。

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Land, a finite resource, is shrinking in extent and deteriorating in qualify as a result of expanding urbanization, industrialization, varied civic uses and mismanagement of water resource. The current gap between demand and supply of land, fuel, fodder and timber is likely to worsen in near future as a consequence of continuing degradation of land and reduced per capital land availability. Irrigation in a particular situation may degrade the land, if not scheduled and planned properly as per the requirement of crop and soil. Suitability evaluation of land for irrigation is a systematic appraisal of land and their designations by categories or classes on the basis of physical and chemical characteristics (Resler 1979). Land suitability provides a rational basis to analyse various soil, nurtrients and land parameters to arrive at optimum solution to various problems of natural resources. It includes land capability classification, land lrrigability assessment, soil suitability for crops, suitability to plantation / trees / aquaculture etc. Remote Sensing has shown great potential in Land suitability model mapping and monitoring due to its advantages over traditional procedures in terms of cost and time effectiveness in the availability of information over larger areas.. Hence, it is proposed to use remote sensing data for the mapping of natural resources. Nevertheless, the surface reflectance spectra over a wide range of objects and conditions should be identified and interpreted into meaningful outputs prior to decision-making and applications. Satellite Remote sensing images, such as IRS- LISS, PAN and W1FS are proposed to use. GIS (Geographic Information System) has become an important tool because it enables to integrate the complex decisions to be taken under milti-variant situations of the resource base and their dynamics. Survey of literature reveals that GIS techniques have been employed for development of land suitability model for Irrigation Management.
机译:土地,有限的资源,在范围内缩小并在扩大城市化,工业化,各种各样的公民用途和水资源管理不善的结果中损失。由于土地持续退化并降低,土地需求和土地需求和供应之间的当前差距可能在不久的将来恶化,并且每个资本土地可用性降低。特定情况下的灌溉可能会降低土地,如果没有按照作物和土壤的要求正常安排和计划。适用性评估灌溉的土地是通过基于物理和化学特征的类别或课程进行系统评估(Resler 1979)。土地适用性为分析各种土壤,营养因素和土地参数提供了合理的基础,以实现对自然资源各种问题的最佳解决方案。它包括土地能力分类,土地LRRIGAY评估,农作物的土壤适宜性,种植园/树木/水产养殖等。遥感在土地适用性模型映射和监测方面表现出极大的潜力,因为它在成本和时间方面的传统程序的优势在较大区域的信息可用性中的有效性。因此,建议使用遥感数据来映射自然资源。然而,在决策和应用程序之前,应识别和解释在各种物体和条件上的表面反射光谱和解释为有意义的输出。建议使用卫星遥感图像,例如IRS-LISS,PAN和W1FS。 GIS(地理信息系统)已成为一个重要的工具,因为它能够集成在资源基础的MILTI-Variant局势下所采取的复杂决定及其动态。文献调查显示,GIS技术已被用于开发灌溉管理的土地适用性模型。

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