Near real-time disturbance detection using satellite image time series

Verbesselt, Jan; Zeileis, Achim; Herold, Martin

doi:10.1016/j.rse.2012.02.022

Cited by 462 publications

(435 citation statements)

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“…The number and position of the breakpoints are estimated from the seasonally adjusted data (Yt -Ŝt) with the method proposed by Bai and Perron (2003), which minimizes the Bayesian information criterion (BIC) to determine the optimal number of breaks and iteratively minimizes the residual sum of squares to estimate the optimum break position. Verbesselt et al (2010) give a full description and validation of the method, which has been applied as a normalized difference vegetation index (NDVI; Verbesselt et al, 2010Verbesselt et al, , 2012de Jong et al, 2012). We tested the method suitability for monthly temperature values.…”

Section: Methodsmentioning

confidence: 99%

Recent trends in sea surface temperature off Mexico

et al. 2013

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RESUMENLos cambios de temperatura promedio del océano a nivel global tienen el potencial de afectar negativamente los sistemas naturales y socioeconómicos actuales; sin embargo, los registros para proyectar las tendencias de cambio a nivel regional son escasos y, en algunos casos, contradictorios. En este estudio se analizan las señales de cambio de la temperatura superficial en mares mexicanos, y se comparan con otras regiones del planeta y con indicadores climáticos clave, tanto del Pacífico Norte como de la franja tropical en el Atlántico y el Pacífico. Se identificaron ocho regiones con diferente exposición a la variabilidad climática: en el Pacífico, la costa occidental de la península de Baja California no muestra una tendencia clara, el Golfo de California exhibe una tendencia modesta de enfriamiento durante los últimos 20 a 25 años, en la parte más oceánica del Pacífico mexicano se nota una tendencia intensa de enfriamiento, la región más tropical muestra una tendencia intensa de calentamiento, y entre ambas regiones se forma una banda de transición sin tendencia; en el Atlántico, la parte noreste del Golfo de México muestra una tendencia de enfriamiento, en tanto que la parte oeste, junto con el Caribe, se han estado calentando por lo menos durante los últimos 30 años. Se analizan las interacciones potenciales de estas tendencias con algunas pesquerías principales y la presencia de ecosistemas costeros sensibles. ABSTRACTChanges in global mean sea surface temperature may have potential negative implications for natural and socioeconomic systems; however, measurements to predict trends in different regions have been limited and sometimes contradictory. In this study, an assessment of sea surface temperature change signals in the seas off Mexico is presented and compared to other regions and the world ocean, and to selected basin scale climatic indices of the North Pacific, the Atlantic and the tropical Pacific variability. We identified eight regions with 538 S. E. Lluch-Cota et al. different exposure to climate variability: In the Pacific, the west coast of the Baja California peninsula with mostly no trend, the Gulf of California with a modest cooling trend during the last 20 to 25 years, the oceanic area with the most intense recent cooling trend, the southern part showing an intense warming trend, and a band of no trend setting the boundary between North-Pacific and tropical-Pacific variability patterns; in the Atlantic, the northeast Gulf of Mexico shows cooling, while the western Gulf of Mexico and the Caribbean have been warming for more than three decades. Potential interactions with fisheries and coastal sensitive ecosystems are discussed.

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Section: Methodsmentioning

confidence: 99%

Recent trends in sea surface temperature off Mexico

et al. 2013

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“…The null hypothesis tested by both CUSUM and MOSUM is that regression coefficients of a linear model are constant over time; the alternative hypothesis is that the coefficients change over time due to influence of an external factor. Both methods have been used for change detection in eco-hydrology (de Jong et al, 2012;Verbesselt et al, 2010;Vogl and Lopes, 2010;Webb et al, 2012;de Jong et al, 2013;Verbesselt et al, 2012;Tsutsumida et al, 2013;Forkel et al, 2013), economic analysis (Caporale et al, 2011;Ghosh, 2009;Olmo et al, 2011;Tiwari et al, 2012) and quality control (Saghaei et al, 2009). However, CUSUM is considered to be less sensitive to certain changes in regression coefficients especially if the changes occur in the later dates of the period under consideration (Bauer and Hackl, 1978;Chu et al, 1995).…”

Section: Structural Changes In Monthly Rainfall-streamflow Relationshipsmentioning

confidence: 99%

Hurricane impacts on a pair of coastal forested watersheds: implications of selective hurricane damage to forest structure and streamflow dynamics

Jayakaran

Williams

Ssegane

et al. 2014

Hydrol. Earth Syst. Sci.

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Abstract. Hurricanes are infrequent but influential disruptors of ecosystem processes in the southeastern Atlantic and Gulf coasts. Every southeastern forested wetland has the potential to be struck by a tropical cyclone. We examined the impact of Hurricane Hugo on two paired coastal South Carolina watersheds in terms of streamflow and vegetation dynamics, both before and after the hurricane's passage in 1989. The study objectives were to quantify the magnitude and timing of changes including a reversal in relative streamflow difference between two paired watersheds, and to examine the selective impacts of a hurricane on the vegetative composition of the forest. We related these impacts to their potential contribution to change watershed hydrology through altered evapotranspiration processes. Using over 30 years of monthly rainfall and streamflow data we showed that there was a significant transformation in the hydrologic character of the two watersheds -a transformation that occurred soon after the hurricane's passage. We linked the change in the rainfall-runoff relationship to a catastrophic change in forest vegetation due to selective hurricane damage. While both watersheds were located in the path of the hurricane, extant forest structure varied between the two watersheds as a function of experimental forest management techniques on the treatment watershed. We showed that the primary damage was to older pines, and to some extent larger hardwood trees. We believe that lowered vegetative water use impacted both watersheds with increased outflows on both watersheds due to loss of trees following hurricane impact. However, one watershed was able to recover to pre hurricane levels of evapotranspiration at a quicker rate due to the greater abundance of pine seedlings and saplings in that watershed.

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“…Field surveys are the most accurate approach to examine forest In recent years, the two algorithms LandTrendr [24,[41][42][43][44][45] and BFAST [16,33,46,47] often have been used to detect forest disturbance and recovery in North America. There are also other algorithms such as Continuous Change Detection and Classification (CCDC) [48] and Continuous Monitoring of Forest Disturbance Algorithm (CMFDA) [9].…”

Section: Introductionmentioning

confidence: 99%

Examining Forest Disturbance and Recovery in the Subtropical Forest Region of Zhejiang Province Using Landsat Time-Series Data

Liu

Wei

et al. 2017

Remote Sensing

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Detection of forest disturbance and recovery has received much attention during the last two decades due to its important influence on forest carbon budget estimation. This research used Landsat time-series data from 1984 to 2015 to examine forest disturbance and recovery in a subtropical region of eastern Zhejiang Province, China, through the LandTrendr algorithm. Field inventory data and high spatial resolution images were used to evaluate the disturbance and recovery results. This research indicates that high producer and user accuracies for both disturbance and recovery classes were obtained and three levels of disturbance and recovery each can be detected. Through incorporation of climate data and disturbance results, drought events also can be successfully detected. More research is needed to incorporate multisource data for detection of forest disturbance types in subtropical regions.

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Near real-time disturbance detection using satellite image time series

Cited by 462 publications

References 45 publications

Recent trends in sea surface temperature off Mexico

Recent trends in sea surface temperature off Mexico

Hurricane impacts on a pair of coastal forested watersheds: implications of selective hurricane damage to forest structure and streamflow dynamics

Examining Forest Disturbance and Recovery in the Subtropical Forest Region of Zhejiang Province Using Landsat Time-Series Data

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