Detecting Change-Points in the Time Series of Surfaces Occupied by Pre-defined NDVI Categories in Continental Spain from 1981 to 2015

Militino, Ana F.; Ugarte, M. D.; Pérez-Goya, Unai

doi:10.1007/978-3-319-73848-2_28

Cited by 8 publications

(5 citation statements)

References 33 publications

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“…Seasonality was eliminated by using the decompose function of the stats library [13]. Finally, the EVI evolution was searched for breakpoints in each pixel using the changepoint package [56] and its function, cpt.meanvar, which detects changes in the mean and variance values of the data [57]. Within that function, the following selections were made: (i) AMOC (at most one changepoint) method for detecting a changepoint [58] and (ii) an asymptotic penalty with 95% confidence that this change has occurred (pen.value = 0.05).…”

Section: Example Of Application: Analysis Of Urban Growth Using Evimentioning

confidence: 99%

Evaluation of R Tools for Downloading MODIS Images and Their Use in Urban Growth Analysis of the City of Tarija (Bolivia)

et al. 2022

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The aim of this study was to compare the available tools in R for downloading and processing Moderate Resolution Imaging Spectroradiometer (MODIS) data, specifically the Enhanced Vegetation Index (EVI) product. The R tools evaluated were the MODIS package, RGISTools, MODISTools, R Google Earth Engine (RGEE) package, MODIStsp, and the Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) application. Each tool was used to download the same product (EVI) corresponding to the same day (3 December 2015), and downloaded data were used to analyze the urban growth of Tarija (Bolivia) as an interesting application. The following features were analyzed: download time and memory used during the download, additional post-processing time, local memory occupied on the computer, and downloaded file formats. Results showed that the most efficient R tools were those that work directly in the “cloud” or use text queries (RGEE and AppEEARS, respectively) and provide, as a final product, a cropped.tif image according to the area of interest.

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Section: Example Of Application: Analysis Of Urban Growth Using Evimentioning

confidence: 99%

Evaluation of R Tools for Downloading MODIS Images and Their Use in Urban Growth Analysis of the City of Tarija (Bolivia)

et al. 2022

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“…En el ámbito más amplio de la península ibérica, investigaciones recientes han puesto de manifiesto un predominio de las tendencias positivas del NDVI (Alcaraz-Segura et al, 2010;del Barrio et al, 2010;Hill et al, 2008;Militino et al, 2018;Novillo et al, 2019). Las tendencias de reverdecimiento registradas en Andalucía se alinean pues con la encontradas en el resto de la península ibérica y el conjunto del continente europeo.…”

Section: El Contexto Del Reverdecimientounclassified

Tendencias recientes del NDVI en Andalucía: los límites del reverdecimiento

Gutiérrez-Hernández

2022

BAGE

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La dinámica de la vegetación está controlada por factores climáticos y antropogénicos y su estudio facilita indicadores para el estudio multiescalar de tendencias ambientales. En este trabajo, se realizó un análisis de tendencia interanual del NDVI del periodo 2000–2020 en Andalucía basado en los productos de índice de vegetación MODIS. Los principales resultados muestran: 1) una tendencia significativa (p-valor < 0,05) del NDVI (mediana anual) en el 42 % del área de estudio, dentro de la cual el 95,5 % fue positiva; 2) una tendencia significativa (p-valor < 0,05) del NDVI (máximo anual) en el 44,1 % del área de estudio, dentro de la cual el 93,1 % fue positiva; y, 3) una tendencia significativa (p-valor < 0,05) del NDVI (mínimo anual) en el 64,9 % del área de estudio, dentro de la cual el 98,4 % fue positiva. Estos resultados evidencian un proceso de reverdecimiento. Esta tendencia se encontró tanto en cubiertas agrarias como en cubiertas forestales, aunque fue especialmente relevante en determinadas clases de ocupación del suelo: olivar y frutales; y, matorrales esclerófilos con arbolado disperso y bosques. Los resultados sugieren la importancia de los factores antropogénicos y su posible interacción con el cambio climático, al tiempo que avisan sobre los límites del reverdecimiento.

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“…Changes in land use and hydrology at the basin scale can drive streamflow regime changes (Fohrer et al 2001;Woo et al 2008). Satellite imagery is increasingly being used for basin-scale analysis, but these studies generally focus on a small number of cases in a small region (Coppin et al 2004;Bevington et al 2018;Soulard et al 2016;Militino et al 2018; 815 Jorgenson et al 2018;Lee et al 2018).…”

Section: Trends In Vegetation Water and Snow Satellite Indicesmentioning

confidence: 99%

Comment on hess-2020-613

Bahrami¹

2021

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The cold interior of Western Canada, east of the Continental Divide, has one of the world's most extreme and variable climates and is experiencing rapid environmental change. In the large Mackenzie and Nelson River basins, the warming climate is changing the landscape, 15 vegetation, cryosphere, and hydrology. This is a study of a large number (395) of natural (unmanaged) gauged basins where streamflow may be continuous or temporary, and observed streamflow records had been collected either year-round or during only the warm season. Each station may have records for a different series of years between 1910 and 2012. Instead of a common period of years and a small number of stations, as in many trend studies, an annual 20 warm season time window where observations were available across all stations is used to classify [1] streamflow regime using dynamic time-warping, and [2] seasonal trend patterns with k-means clustering. The trends in seasonal streamflow patterns were compared to changes in satellite Normalized Difference Vegetation, Water, and Snow Indices (NDVI, NDWI, and NDSI) for each gauged basin using Landsat 5 TM imagery between 1985 and 2010. 25Twelve streamflow regime types were identified using dynamic time-warping which overcomes timing differences in streamflow generation due to latitude or elevation. These streamflow regime types exhibit a strong connection to location; the spatial distribution follows ecozones and shows a strong distinction between mountains and plains in the study area.Clustering of seasonal trends using the annual common time window resulted in six trend 30 patterns that also have a strong and distinct spatial organization. The trend patterns include one with decreasing streamflow, four with different patterns of increasing streamflow, and one with stations without trend structure. Trends in the mean, minimum, and maximum of three satellite indices were determined; the spatial patterns of trends in NDWI and NDSI were similar to each other, but different from NDVI trends. Streamflow regime types, the trend patterns, 35 and satellite indices trends each showed spatially coherent patterns reflecting the influence of sources in the Canadian Rockies and other range in the west and poorly defined drainage basins due to post-glacial topography in the east and north. The overlap between hydrological and satellite index trends were not consistent across the study area. Three particular areas of change were identified: [i] in the mountains or lake-dominated, cold taiga-covered subarctic, north of 40 60°N, streamflow and greenness were increasing while wetness and snowcover were decreasing, [ii] in the forested Boreal Plains, particularly in the mountain west, streamflows

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Detecting Change-Points in the Time Series of Surfaces Occupied by Pre-defined NDVI Categories in Continental Spain from 1981 to 2015

Cited by 8 publications

References 33 publications

Evaluation of R Tools for Downloading MODIS Images and Their Use in Urban Growth Analysis of the City of Tarija (Bolivia)

Evaluation of R Tools for Downloading MODIS Images and Their Use in Urban Growth Analysis of the City of Tarija (Bolivia)

Tendencias recientes del NDVI en Andalucía: los límites del reverdecimiento

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