首页> 外文会议>Proceedings of the 22nd Asian Conference on Remote Sensing >DELINEATION AND MONITORING OF GULLIED AND RAVINOUS LANDS IN A PART OF LOWER CHAMBAL VALLEY, INDIA, USING REMOTE SENSING AND GIS
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DELINEATION AND MONITORING OF GULLIED AND RAVINOUS LANDS IN A PART OF LOWER CHAMBAL VALLEY, INDIA, USING REMOTE SENSING AND GIS

机译:利用遥感和GIS对印度下钱巴谷的一部分沟壑和沟壑地貌进行描述和监测

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Chambal Valley of India is particularly well known for its characteristic deep-cutting ravines, which has been spreading over the usable land at an alarming rate. The damage to the agricultural land by network of gullies and later its conversion to deep ravines is a serious concern to the scientific community since long back. A part of the Chambal Valley is considered for the present study with the main objective to delineate and monitor the gullied and ravenous lands with the help of multi temporal remote sensing data and GIS. The delineation of ravinous land has been accomplished initially from Survey of India topographic base map (1985) and IRS-1B (1996) data. Subsequently, employing various digital enhancement techniques to IRS-1C LISS Ⅲ and PAN (1998) data, updated ravine-affected area in the study area has been delineated and various ravine classes based on their average depth have been categorized. Principal component transformation to all four bands of LISS Ⅲ data and generation of FCC from first three principal components, and finally fusion of LISS Ⅲ and PAN data by principal component analysis (PCA) have been employed in this work. Finally, from the multi temporal data sets, viz., Survey of India topographic base map (1985), IRS-1B LISS Ⅱ (1996) and IRS-1C LISS Ⅲ and PAN (1998) data, an attempt has been made to study the advancement and recession of ravines in the study area by using the Integrated Land and Water Information System (ILWIS) 2.2 software. It has been observed that the affected area during the 15 years time period (1984-1998) has been increased from 35.37 % to 38.94- % of the study area. The actual spreading rate at different localities in the study area was recorded from the local villagers and compared with the result obtained from remote sensing techniques. The result obtained from this study is found to agree significantly well with the actual figures collected during field investigation.
机译:印度的尚巴尔谷特别以其深切的沟壑而闻名,该沟壑已经以惊人的速度散布在可用土地上。自古以来,沟渠网络对农田的破坏以及后来将其转化为深沟壑的问题一直是科学界的严重关切。本研究考虑了香巴拉河谷的一部分,其主要目的是借助多时相遥感数据和GIS来描绘和监测沟壑和耕地。最初,根据印度地形调查底图(1985)和IRS-1B(1996)数据完成了沟壑土地的划定。随后,对IRS-1C LISSⅢ和PAN(1998)数据采用了各种数字增强技术,对研究区更新的沟壑影响区域进行了描述,并根据其平均深度对各种沟壑类别进行了分类。本文将LISSⅢ数据的所有四个波段进行主成分转换,并从前三个主成分生成FCC,最后通过主成分分析(PCA)融合LISSⅢ和PAN数据。最后,从多个时间数据集,即印度地形底图调查(1985),IRS-1B LISSⅡ(1996)和IRS-1C LISSⅢ和PAN(1998)数据,进行了研究尝试。通过使用土地和水信息综合系统(ILWIS)2.2软件,研究区沟壑的前进和后退。据观察,在15年时间段(1984年至1998年)中,受灾面积已从研究区域的35.37%增加到38.94%。从当地村民那里记录了研究区域内不同地区的实际蔓延率,并将其与遥感技术的结果进行了比较。从这项研究中获得的结果与实地调查中收集到的实际数据非常吻合。

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