Landscape transform and spatial metrics for mapping spatiotemporal land cover dynamics using Earth Observation data-sets

被引：71

作者：

Singh, Sudhir Kumar ^{[1
]}

Srivastava, Prashant K. ^{[2
,3
,4
]}

Szabo, Szilard ^{[5
]}

Petropoulos, George P. ^{[6
]}

Gupta, Manika ^{[7
]}

Islam, Tanvir ^{[8
,9
]}

机构：

[1] Univ Allahabad, Nehru Sci Ctr, IIDS, K Banerjee Ctr Atmospher & Ocean Studies, Allahabad, Uttar Pradesh, India

[2] NASA Goddard Space Flight Ctr, Greenbelt, MD USA

[3] Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20742 USA

[4] Banaras Hindu Univ, Inst Environm & Sustainable Dev, Varanasi, Uttar Pradesh, India

[5] Univ Debrecen, Dept Phys Geog & Geoinformat, Debrecen, Hungary

[6] Aberystwyth Univ, Dept Geog & Earth Sci, Aberystwyth, Dyfed, Wales

[7] Indian Inst Technol, Dept Civil Engn, New Delhi, India

[8] NOAA NESDIS Ctr Satellite Applicat & Res, College Pk, MD USA

[9] Colorado State Univ, Cooperat Inst Res Atmosphere, Ft Collins, CO 80523 USA

来源：

GEOCARTO INTERNATIONAL | 2017年 / 32卷 / 02期

关键词：

Protected ecosystem; remote sensing; landscape pattern; fragmentation; ecological metrics; geographic information system; GROUNDWATER QUALITY; RANDOM FORESTS; CLASSIFICATION; FRAGMENTATION; GIS; IDENTIFICATION; CONTAMINATION; DISTRICT; SYSTEM; AREA;

D O I：

10.1080/10106049.2015.1130084

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Analysis of Earth observation (EO) data, often combined with geographical information systems (GIS), allows monitoring of land cover dynamics over different ecosystems, including protected or conservation sites. The aim of this study is to use contemporary technologies such as EO and GIS in synergy with fragmentation analysis, to quantify the changes in the landscape of the Rajaji National Park (RNP) during the period of 19years (1990-2009). Several statistics such as principal component analysis (PCA) and spatial metrics are used to understand the results. PCA analysis has produced two principal components (PC) and explained 84.1% of the total variance, first component (PC1) accounted for the 57.8% of the total variance while the second component (PC2) has accounted for the 26.3% of the total variance calculated from the core area metrics, distance metrics and shape metrics. Our results suggested that notable changes happened in the RNP landscape, evidencing the requirement of taking appropriate measures to conserve this natural ecosystem.

引用

页码：113 / 127

页数：15

共 60 条

[41]

REMMEL TK, 2002, P GEOSP THEOR PROC A

[42]

Rempel RS, 1999, NW SCI TECHNOLOGY

[43] The matrix matters: Effective isolation in fragmented landscapes [J].