An assessment of several linear change detection techniques for mapping forest mortality using multitemporal landsat TM data

Collins, John B.; Woodcock, Curtis E.

doi:10.1016/0034-4257(95)00233-2

Cited by 378 publications

(193 citation statements)

References 15 publications

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“…We carefully selected clear images because the main aim of this study was to obtain the urban area changes so we could investigate the link between urban area expansion and the crime rate over time. While the main purpose was to obtain the difference of digital number (DN) between urban areas, there was no need to use a complex model, such as an atmospheric correction model [49].…”

Section: Images Subsetmentioning

confidence: 99%

A Method for Exploring the Link between Urban Area Expansion over Time and the Opportunity for Crime in Saudi Arabia

Algahtany

Kumar

2016

Remote Sensing

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Abstract:Urban area expansion is one of the most critical types of worldwide change, and most urban areas are experiencing increased growth in population and infrastructure development. Urban change leads to many changes in the daily activities of people living within an affected area. Many studies have suggested that urbanization and crime are related. However, they focused particularly on land uses, types of land use, and urban forms, such as the physical features of neighbourhoods, roads, shopping centres, and bus stations. Understanding the correlation between urban area expansion and crime is very important for criminologists and urban planning decision-makers. In this study, we have used satellite images to measure urban expansion over a 10-year period and tested the correlations between these expansions and the number of criminal activities within these specific areas. The results show that there is a measurable relationship between urban expansion and criminal activities. Our findings support the crime opportunity theory as one possibility, which suggests that population density and crime are conceptually related. We found the correlations are stronger where there has been greater urban growth. Many other factors that may affect crime rate are not included in this paper, such as information on the spatial details of the population, city planning, economic considerations, the distance from the city centre, neighbourhood quality, and police numbers. However, this study will be of particular interest to those who aim to use remote sensing to study patterns of crime.

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Section: Images Subsetmentioning

confidence: 99%

A Method for Exploring the Link between Urban Area Expansion over Time and the Opportunity for Crime in Saudi Arabia

Algahtany

Kumar

2016

Remote Sensing

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“…Snow may occur on the highest elevation ridge tops. Over the past several decades of climate records, extreme dry years were identified as having occurred in 1989-1991, 1994to 2015, and extreme wet years in 1983, 1996(Potter, 2015.…”

Section: Study Area Descriptionmentioning

confidence: 99%

“…The Landsat normalized difference vegetation index (NDVI) has been shown to be a reliable metric to monitor large-scale change in green vegetation cover and forest disturbance in remote mountainous areas (Collins & Woodcock, 1996;Rogan & Franklin, 2001;Rogan et al, 2003;Fischer et al, 2004;Epting & Verbyla, 2005;Cuevas-Gonzalez et al, 2009;Casady & Marsh, 2010;Gitas et al, 2012). Results from Landsat image studies have shown that canopy green leaf cover typically increases rapidly over the first five years following a standreplacing disturbance, doubling in value by about 10 years after the disturbance, and then leveling off to approach pre-disturbance (mature) stand values by about 25 -30 years after the disturbance event (Potter, 2014a).…”

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confidence: 99%

Vegetation Regrowth Following Wildfires in the Santa Cruz Mountains of Northern California Monitored Using Landsat Satellite Image Analysis

Potter¹

2016

OJF

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“…For example, to detect changes in order to correct topographic maps could be assumed the time between two sequential space imagery (t 10 , t 20 ) for some certain of land area of interests may be different for a year or more (Collins, 1996).…”

Section: Time Interval Of Multitemporal Space Imagerymentioning

confidence: 99%

The Automation of the Process of Land Area Change Detection in Permanent Monitoring Systems

Areshkina

Belazerskii

Oreshkin³

2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:A new automation process for change detection of land area is proposed. The method is based on the use of multitemporal satellite images and their histograms. The proposed discrete representation of land area in small image fragments makes it possible to detect changes automatically within each fragment. This method provides improvements of change detection accuracy and simplifies the software realization by unifying recursively performed processing. In this article the method of difference images and its adaptation for automatic applications is also analysed. In particular, a complementary pair of images is proposed as the main presentation of a difference image which allows automatic separation of the changes of ground objects without loss or distortion. The use of the histograms obtained by variations of image brightness (increasing and decreasing) provides opportunities for the assessment and experimental verification of existing approaches in the selection of automatic detection thresholds. The assessment of the implementations of the algorithms of Kittler, Kapur, Otsu, and the method of mean risk minimum demonstrate the instability of their solutions, wide variance in of results, as well as inconsistencies with the visual approaches to the selection of the binarization thresholds. A new algorithm for the automatic detection and analysis of the brightness changes of land areas is proposed. As a result, the automation of detection of each brightness change of a given land area is achieved in all available spectral channels of satellite imagery.

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An assessment of several linear change detection techniques for mapping forest mortality using multitemporal landsat TM data

Cited by 378 publications

References 15 publications

A Method for Exploring the Link between Urban Area Expansion over Time and the Opportunity for Crime in Saudi Arabia

A Method for Exploring the Link between Urban Area Expansion over Time and the Opportunity for Crime in Saudi Arabia

Vegetation Regrowth Following Wildfires in the Santa Cruz Mountains of Northern California Monitored Using Landsat Satellite Image Analysis

The Automation of the Process of Land Area Change Detection in Permanent Monitoring Systems

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