scholarly journals Park in the periphery: Land use and land cover change and forest fragmentation in and around Yangoupokpi Lokchao Wildlife Sanctuary, Manipur, India

2020 ◽  
Vol 93 (1) ◽  
pp. 107-120 ◽  
Author(s):  
Khangsembou Bungnamei ◽  
Anup Saikia
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Geographical Area ◽  
Landscape Fragmentation ◽  
Wildlife Sanctuary ◽  
Dense Forest ◽  
Land Cover Dynamics ◽  
Total Geographical Area ◽  
Spatio Temporal ◽  
Supervised Image Classification

This study documents the spatio-temporal land use and land cover dynamics of Yangoupokpi Lokchao Wildlife Sanctuary (YLWLS) in Manipur, India. Landsat imageries at three points of time spanning 38 years (1978, 2000 and 2016) were taken into account. Supervised image classification techniques were employed. Fragstats software was used to derive five landscape metrics, namely, class area (CA), number of patches (NP), largest patch index (LPI), percentage of landscape (PLAND) and mean patch size (MPS), to quantitatively assess the level of landscape fragmentation in the YLWLS. Dense and moderately dense forests decreased markedly during 1978-2000 from 46.5% to 40% and 38% to 28% of the total geographical area, respectively. However, between 2000 and 2016, the sanctuary managed to gain 840 ha of dense forest through various afforestation activities. The overall change in YLWLS during 1978-2016 indicates a substantial transition of dense and moderately dense forests.

Prediction of spatio-temporal land use/land cover dynamics in rapidly developing Varanasi district of Uttar Pradesh, India, using geospatial approach: a comparison of hybrid models

2018 ◽  
Vol 10 (3) ◽  
pp. 257-276 ◽  
Author(s):  
Varun Narayan Mishra ◽  
Praveen Kumar Rai ◽  
Rajendra Prasad ◽  
Milap Punia ◽  
Mărgărit-Mircea Nistor
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Uttar Pradesh ◽  
Hybrid Models ◽  
Land Use Land Cover ◽  
Land Cover Dynamics ◽  
Spatio Temporal

scholarly journals Observing land-use/land-cover dynamics in semi-arid environment: Evidence from Damaturu Town and its surrounding lands, Yobe State, Nigeria

2020 ◽  
Vol 4 (2) ◽  
pp. 55-78
Author(s):  
Modibbo Babagana-Kyari ◽  
Babagana Boso
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Arid Environment ◽  
Land Use Land Cover ◽  
Temporal Aspects ◽  
Erdas Imagine ◽  
Annual Change Rate ◽  
Multi Temporal ◽  
Spatio Temporal ◽  
Supervised Image Classification

The fragile Sudano-Sahelian ecological zone of Nigeria has been classified as a hotspot of land cover change (LCC) that has been suffering from serious anthropogenic and biophysical stresses. Damaturu, being the fastest growing town situated in the region happened to be a victim of this negative development. The purpose of this study is to remotely observe and assess the prevailing land-use/land-cover (LULC) dynamics of Damaturu town and its delicate surrounding lands from the year 1987-2017 study periods. To achieve this, a supervised image classification technique with Maximum Likelihood Classifier (MLC) algorithm was used in ERDAS Imagine version 15 software to classify the three epochs multi-temporal and multi-spectral Landsat imageries (TM 1987, ETM+7 2000 and OLI 2017). The classified LULC maps and their resulting statistics were then used to assess the spatio-temporal aspects of the observed changes by placing the results within the wider context of previous related literature and evidences. Findings revealed that the built-up area has been expanding since 1987 with an annual change rate of 4.5% between 1987-2000, and 5.3% during 2000-2017 respectively. The growth of the town is being accompanied by massive farmlands expansion and vegetal cover (trees and shrubs) lost making the surrounding arable lands seriously disturbed. Thus, if the observed trends continue, the entire studied region will be subjected to severe environmental hazard such as desertification. Overall, the study provides valuable information required for sustainable  environmental management.

scholarly journals SATELLITE IMAGERY DRIVEN ASSESSMENT OF LAND USE LAND COVER, URBANIZATION AND SURFACE TEMPERATURE PATTERN DYNAMICS OVER TROPICAL MEGACITIES

2021 ◽  
Vol XLVI-4/W6-2021 ◽  
pp. 313-320
Author(s):  
S. Verma ◽  
S. Agrawal ◽  
K. Dutta
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Surface Temperature ◽  
Land Surface ◽  
Temperature Pattern ◽  
Land Use Land Cover ◽  
Landsat Images ◽  
Pattern Dynamics ◽  
Spatio Temporal ◽  
Supervised Image Classification

Abstract. In most of the developing nations, fast paced urbanisation is going on. This has changed the spatial patterns of Land Use Land Cover (LULC) and Land Surface Temperature (LST) over time. Continual studies are required in this context to know these phenomena more clearly. This study is carried out to analyse the spatio-temporal changes in LULC, urbanisation and LST in the metropolitan cities of India namely Delhi and Bengaluru. Landsat images of TM and OLI sensors are taken for the years 2001, 2010 and 2020. The LULC layer is obtained through supervised image classification. Concentric circles at the interval of 2 km are drawn from the centroid of the study areas which are used to compute Shannon's entropy through zonal analysis of the reclassified LULC layer. The thermal band of the Landsat is used for the computation of LST. The results of both the study areas revealed 1) decline in the open land, vegetation and water body; 2) rampant growth of built-up and urban area which become more compact over the years; and 3) spread of the higher LST zones.

Spatio-temporal Assessment of Landscape Ecological Risk and Associated Drivers: A Case Study of Delhi

2021 ◽  
Vol 12 (1_suppl) ◽  
pp. S85-S106
Author(s):  
Biswajit Mondal ◽  
Pragya Sharma ◽  
Debolina Kundu ◽  
Sarita Bansal
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Ecological Risk ◽  
Urban Expansion ◽  
Landscape Fragmentation ◽  
Lulc Changes ◽  
Risk Areas ◽  
Key Drivers ◽  
Spatio Temporal ◽  
Vulnerability Score

Urbanization is considered as the key driver for land use and land cover (LULC) changes across the globe and Delhi is no exception to this phenomenon. The population of Delhi has almost doubled from 8.4 million in 1991 to 16.3 million in 2011. Correspondingly, the built-up area has also increased from 336.82 to 598.22 km 2 during 1999–2018. This urban expansion has led to emergence of serious ecological risk and fragmentation of the landscape. In this context, it is imperative to analyse the level of risks induced by such urban expansion and its underlying associations with other factors. This article quantifies the LULC changes in Delhi during 1999–2018 using Landsat 5 (TM) and Landsat 8 (OLI) data. A spatio-temporal sprawl induced risk assessment index has been developed by combining landscape fragmentation score and land use land cover vulnerability score. The landscape fragmentation score was based on four landscape metrics, whereas the vulnerability score was computed from LULC data. The article also assesses the association between risk areas and economic activities, environmental and infrastructural amenities that are considered key drivers of urban expansion in Delhi. To estimate spatio-temporal variability between risk areas and key drivers, ordinary least square regression and geographical weighted regression (GWR) were used. The GWR results reveal that sprawl-induced ecological risk in Delhi is strongly associated with economic activity, infrastructural accessibility and environmental amenities. This spatial empirical assessment also shows that urban growth incentives or services such as roads, metro rail, schools and hospitals can also create pressure on the landscape if local authorities arbitrarily provide these services across space without considering the associated risks.

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