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监测印度东北部那加兰邦东喜马拉雅地区的土地利用和土地覆盖变化。

Monitoring land use land cover changes in the Eastern Himalayan landscape of Nagaland, Northeast India.

作者信息

Ritse Vimha, Basumatary Himolin, Kulnu Amenuo Susan, Dutta Gitamani, Phukan Mayur Mausoom, Hazarika Nabajit

机构信息

School of Sciences, Department of Environmental Science, Nagaland University, Lumami (HQ), Zunheboto, Nagaland, 798627, India.

School of Sciences, Department of Environmental Science, Tezpur University, Napaam, Sonitpur, Assam, 784028, India.

出版信息

Environ Monit Assess. 2020 Oct 17;192(11):711. doi: 10.1007/s10661-020-08674-8.

Abstract

The escalating demand for anthropic needs and urban development has highlighted the importance of monitoring and change detection of land use land cover (LULC). With an increase in agricultural expansion and infrastructural development, every land surface on earth calls for a long-term investigation of land modification patterns and their underlying contributory factors. The present investigation monitors the LULC changes and assesses the process controls in Kohima and Dimapur districts of Nagaland, India. Currently, these two districts encompassing the main urban cities of the hilly state are experiencing rapid urbanization and unplanned developmental activities. Alike any other LULC changes observed in unplanned and developing cities, these districts are likely to face environmental degradation, and particularly, the occurrence of frequent landslides and flash floods. The study has three objectives-(i) LULC mapping of Kohima and Dimapur districts for three periods (1998, 2008, and 2018), (ii) comparative analysis of LULC change patterns in the two districts during the three epochs (1998-2008, 2008-2018, and 1998-2018), and (iii) assessment of the contributory factors. For the study, remotely sensed LANDSAT images (TM and OLI) in Geographical Information System (GIS) platform were utilized along with field surveys. Supervised classification technique was employed and four major LULC classes were identified using Landsat level-1 classification system. The overall accuracy of the classification varied between 91 and 98%. Results showed that Built Up areas have increased significantly in both the districts at the rate of 322.6 ha/year in Kohima and 301.9 ha/year in Dimapur during 1998-2018. On the other hand, Agricultural Land and Forest Land declined in both districts. Changes in LULC were mainly due to marginalization of shifting cultivation, deforestation, infrastructural development, urban migration, and flourishing of aquaculture farming. This study furnishes baseline information on LULC in the data-scarce region of Northeast India and is an insinuation to the policy-makers to ensure sustainable land use planning in the face of rapid urbanization.

摘要

对人类需求和城市发展的需求不断升级,凸显了监测和土地利用土地覆盖(LULC)变化检测的重要性。随着农业扩张和基础设施建设的增加,地球上的每一片土地都需要对土地变化模式及其潜在影响因素进行长期调查。本研究监测了印度那加兰邦科希马和迪马布尔地区的土地利用土地覆盖变化,并评估了其过程控制因素。目前,这两个包含该山区主要城市的地区正在经历快速城市化和无规划的发展活动。与在无规划和发展中的城市中观察到的任何其他土地利用土地覆盖变化一样,这些地区可能面临环境退化,特别是频繁发生山体滑坡和山洪暴发。该研究有三个目标:(i)绘制科希马和迪马布尔地区三个时期(1998年、2008年和2018年)的土地利用土地覆盖图;(ii)比较这两个地区在三个时期(1998 - 2008年、2008 - 2018年和1998 - 2018年)的土地利用土地覆盖变化模式;(iii)评估影响因素。在本研究中,利用了地理信息系统(GIS)平台上的遥感陆地卫星图像(TM和OLI)以及实地调查。采用监督分类技术,并使用陆地卫星一级分类系统确定了四个主要的土地利用土地覆盖类别。分类的总体精度在91%至98%之间。结果表明,在1998 - 2018年期间,两个地区的建成区面积均显著增加,科希马的增长速度为每年322.6公顷,迪马布尔为每年301.9公顷。另一方面,两个地区的农业用地和林地面积均有所减少。土地利用土地覆盖的变化主要是由于轮作耕种的边缘化、森林砍伐、基础设施建设、城市迁移以及水产养殖的蓬勃发展。本研究为印度东北部数据匮乏地区的土地利用土地覆盖提供了基线信息,并暗示政策制定者在快速城市化的情况下确保可持续土地利用规划。

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