Comprehensive review on land use/land cover change classification in remote sensing

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منابع مشابه

Land cover land use mapping and change detection analysis using geographic information system and remote sensing

Land cover/land use categories are relevant components in land management. Understanding how land cover/land use change over time is necessary to assess the consequences of humans and natural stressors on the earth’s environment and resources. The aim of the study was to map and monitor the spatial and temporal change in land cover/land use for the periods of 1977, 1991 and 2016 and to predict ...

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Remote Sensing Analysis of Land Cover Change

In Australia, remotely sensed Landsat data is routinely used for mapping and monitoring changes in the extent of woody perennial vegetation. Time series remotely sensed satellite imagery and ground information is used to form multi-temporal classifications of presence/absence of woody cover. Two broad-scale operational land cover change and monitoring projects are based on a series of algorithm...

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Remote Sensing Applications: Beyond Land-Use and Land-Cover Change

Remotely sensed (RS) imagery is increasingly being adopted in investigations and applications outside of traditional land-use land-cover change (LUCC) studies. This is due to the increased awareness by governments, NGOs and Industry that earth observation data provide important and useful spatial and temporal information that can be used to make better decisions, design policies and address pro...

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Remote Sensing and Modeling in Regional Land Cover Change Study

This paper summarises the general pattern of urban land-cover change in the Northeastern Illinois between 1972 and 1997 using Landsat acquired remotely sensed images. The region, centred by the city of Chicago, experienced dramatic land cover change in the past decades. Accompanying the redistribution of population and decentralisation of metropolitan functions are the tremendous growth and dev...

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The Improvement of Land Cover Classification by Thermal Remote Sensing

Land cover classification has been widely investigated in remote sensing for agricultural, ecological and hydrological applications. Landsat images with multispectral bands are commonly used to study the numerous classification methods in order to improve the classification accuracy. Thermal remote sensing provides valuable information to investigate the effectiveness of the thermal bands in ex...

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ژورنال

عنوان ژورنال: Journal of Spectral Imaging

سال: 2020

ISSN: 2040-4565

DOI: 10.1255/jsi.2020.a8