Vegetation dynamics from NDVI time series analysis using the wavelet transform

Martínez, Beatriz; Gilabert, María Amparo

doi:10.1016/j.rse.2009.04.016

Cited by 324 publications

(185 citation statements)

References 62 publications

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“…Land-surface phenology refers to the timing of different lifecycle stages of plants (Martinez and Gilabert, 2009). Seasonal changes in land-surface phenology is important to understand the relationship between vegetation growth and the hydrological cycle in river basins (Martinez and Gilabert, 2009).…”

Section: Vegetation Phenologymentioning

confidence: 99%

“…Seasonal changes in land-surface phenology is important to understand the relationship between vegetation growth and the hydrological cycle in river basins (Martinez and Gilabert, 2009). Study of land-surface phenology is also important to understand the causes of vegetation growth-pattern changes (Fisher and Mustard, 2007;Myneni et al, 1997).…”

Section: Vegetation Phenologymentioning

confidence: 99%

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Relating seasonal dynamics of enhanced vegetation index to the recycling of water in two endorheic river basins in north-west China

Matin

Bourque

2015

Hydrol. Earth Syst. Sci.

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Abstract. This study associates the dynamics of enhanced vegetation index in lowland desert oases to the recycling of water in two endorheic (hydrologically closed) river basins in Gansu Province, north-west China, along a gradient of elevation zones and land cover types. Each river basin was subdivided into four elevation zones representative of (i) oasis plains and foothills, and (ii) low-, (iii) mid-, and (iv) highmountain elevations. Comparison of monthly vegetation phenology with precipitation and snowmelt dynamics within the same basins over a 10-year period (2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009) suggested that the onset of the precipitation season (cumulative % precipitation > 7-8 %) in the mountains, typically in late April to early May, was triggered by the greening of vegetation and increased production of water vapour at the base of the mountains. Seasonal evolution of in-mountain precipitation correlated fairly well with the temporal variation in oasisvegetation coverage and phenology characterised by monthly enhanced vegetation index, yielding coefficients of determination of 0.65 and 0.85 for the two basins. Convergent cross-mapping of related time series indicated bi-directional causality (feedback) between the two variables. Comparisons between same-zone monthly precipitation amounts and enhanced vegetation index provided weaker correlations. Start of the growing season in the oases was shown to coincide with favourable spring warming and discharge of meltwater from low-to mid-elevations of the Qilian Mountains (zones 1 and 2) in mid-to-late March. In terms of plant requirement for water, mid-seasonal development of oasis vegetation was seen to be controlled to a greater extent by the production of rain in the mountains. Comparison of water volumes associated with in-basin production of rainfall and snowmelt with that associated with evaporation seemed to suggest that about 90 % of the available liquid water (i.e. mostly in the form of direct rainfall and snowmelt in the mountains) was recycled locally.

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Section: Vegetation Phenologymentioning

confidence: 99%

Section: Vegetation Phenologymentioning

confidence: 99%

Relating seasonal dynamics of enhanced vegetation index to the recycling of water in two endorheic river basins in north-west China

Matin

Bourque

2015

Hydrol. Earth Syst. Sci.

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“…Such functional units were later defined as groups of ecosystems showing similar dynamics of primary production [8,20] and can be interpreted as patches of the land surface that exchange mass and energy in a common way, showing coordinated and specified responses to environmental factors [7]. This basic approach has been further developed in several studies to characterize ecosystem functioning (e.g., [8,[21][22][23][24][25]), offering the potential of linking atmospheric and ecosystem processes in land-surface and climate modeling [26,27], which has been shown to significantly improve weather forecasts [28,29]. Similar methodological approaches that explicitly include the temporal dynamics of vegetation indices have also been used to characterize environmental heterogeneity at the regional scale.…”

Section: Introductionmentioning

confidence: 99%

Environmental and Human Controls of Ecosystem Functional Diversity in Temperate South America

et al. 2013

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Abstract:The regional controls of biodiversity patterns have been traditionally evaluated using structural and compositional components at the species level, but evaluation of the functional component at the ecosystem level is still scarce. During the last decades, the role of ecosystem functioning in management and conservation has increased. Our aim was to use satellite-derived Ecosystem Functional Types (EFTs, patches of the land-surface with similar carbon gain dynamics) to characterize the regional patterns of ecosystem functional diversity and to evaluate the environmental and human controls that determine EFT richness across natural and human-modified systems in temperate South America. The EFT identification was based on three descriptors of carbon gain dynamics derived from seasonal curves of the MODIS Enhanced Vegetation Index (EVI): annual mean (surrogate of primary production), seasonal coefficient of variation (indicator of seasonality) and date of maximum EVI (descriptor of phenology). As observed for species richness in the southern hemisphere, water availability, not energy, emerged as the main climatic driver of 128EFT richness in natural areas of temperate South America. In anthropogenic areas, the role of both water and energy decreased and increasing human intervention increased richness at low levels of human influence, but decreased richness at high levels of human influence.

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“…There are multi-sources remote sensing data with time series characteristics, and we can derive the biophysical and ecological parameters of degraded rangeland from them. Remote sensing is widely used in rangeland degradation studies (Liu et al, 2008;Martí nez and Gilabert, 2009;Jafari et al, 2008;Numata et al, 2007;Geerken and Ilaiwi, 2004;Gao et al 2010). At present, some principal methods are as follows: (1) Extraction of rangeland degradation information based on remote sensing image classification; (2) Direct comparison.…”

mentioning

confidence: 99%

Monitoring rangeland degradation using a novel local NPP scaling based scheme over the “Three-River Headwaters” region, hinterland of the Qinghai-Tibetan Plateau

Wang

Xia

et al. 2017

Quaternary International

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Abstract-the "Three-River Headwaters" region (TRHR) rangeland ecosystem is extremely sensitive and fragile, and in recent years has undergone continuous degradation. The vast area and severe nature conditions inhibit data acquisition and field experiments, resulting in different understandings about the spatial characteristics and dynamics of rangeland degradation in the region. Therefore, reliable monitoring method of rangeland degradation is urgently needed for the rangeland protection and management. In this paper, a novel rangeland degradation monitoring scheme based on Local NPP Scaling (LNS) was suggested;A suitable partition program of rangeland productivity unit was set up by using Analytical Hierarchy Process (

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Vegetation dynamics from NDVI time series analysis using the wavelet transform

Cited by 324 publications

References 62 publications

Relating seasonal dynamics of enhanced vegetation index to the recycling of water in two endorheic river basins in north-west China

Relating seasonal dynamics of enhanced vegetation index to the recycling of water in two endorheic river basins in north-west China

Environmental and Human Controls of Ecosystem Functional Diversity in Temperate South America

Monitoring rangeland degradation using a novel local NPP scaling based scheme over the “Three-River Headwaters” region, hinterland of the Qinghai-Tibetan Plateau

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