Remote Sensing Application for Exploring Changes in Land-Use and Land-Cover Over a District in Northern India

2020 ◽  
Vol 48 (4) ◽  
pp. 525-534 ◽  
Author(s):  
Mohammad Suhail Meer ◽  
Anoop Kumar Mishra
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Remote Sensing Application ◽  
Northern India ◽  
Sensing Application

scholarly journals Remap : An online remote sensing application for land cover classification and monitoring

2018 ◽  
Vol 9 (9) ◽  
pp. 2019-2027 ◽  
Author(s):  
Nicholas J. Murray ◽  
David A. Keith ◽  
Daniel Simpson ◽  
John H. Wilshire ◽  
Richard M. Lucas
Keyword(s):  
Remote Sensing ◽  
Land Cover ◽  
Land Cover Classification ◽  
Remote Sensing Application ◽  
Sensing Application

scholarly journals Spatial-Temporal Land Use and Land Cover Changes in Urban Areas Using Remote Sensing Images and GIS Analysis: The Case Study of Opole, Poland

Geosciences ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 312
Author(s):  
Barbara Wiatkowska ◽  
Janusz Słodczyk ◽  
Aleksandra Stokowska
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Satellite Imagery ◽  
Urban Areas ◽  
Agricultural Land ◽  
Urban Expansion ◽  
Landsat 8 ◽  
Rate Of Increase ◽  
Management Procedures

Urban expansion is a dynamic and complex phenomenon, often involving adverse changes in land use and land cover (LULC). This paper uses satellite imagery from Landsat-5 TM, Landsat-8 OLI, Sentinel-2 MSI, and GIS technology to analyse LULC changes in 2000, 2005, 2010, 2015, and 2020. The research was carried out in Opole, the capital of the Opole Agglomeration (south-western Poland). Maps produced from supervised spectral classification of remote sensing data revealed that in 20 years, built-up areas have increased about 40%, mainly at the expense of agricultural land. Detection of changes in the spatial pattern of LULC showed that the highest average rate of increase in built-up areas occurred in the zone 3–6 km (11.7%) and above 6 km (10.4%) from the centre of Opole. The analysis of the increase of built-up land in relation to the decreasing population (SDG 11.3.1) has confirmed the ongoing process of demographic suburbanisation. The paper shows that satellite imagery and GIS can be a valuable tool for local authorities and planners to monitor the scale of urbanisation processes for the purpose of adapting space management procedures to the changing environment.

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