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Change point estimation of deciduous forest land surface phenology
Remote Sensing of Environment, 2020Abstract Dramatic phenological shifts and ecosystem responses of deciduous forests to global climate change have been reported around the world. Land Surface Phenology (LSP) derived from satellite imagery is useful to estimate the phenological responses of vegetation to climate variability and inform terrestrial ecosystem models at landscape to ...
Yingying Xie, Adam M. Wilson
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Remote Sensing of Land Surface Phenology: A Prospectus
2013The process of observing land surface phenology (or LSP) using remote sensing satellites is fundamentally different from ground level observation of phenophase transition of specific organisms. The scale disparity between the spatial extent of the organisms and the spatial resolution of the sensor leads to an ill-defined mixture of target and ...
Geoffrey M. Henebry, Kirsten M. de Beurs
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Land Surface Phenology Metrics Extraction and Accuracy Assessment
2014Plant Phenology refers to periodic events in the life cycle of plants as influenced by the environment, especially climatic factors. Compared to field-based plant phenological observations, remote sensing provides an alternative means for monitoring Land Surface Phenology (LSP) over large areas.
Yuan, Fei +3 more
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Environmental Management, 2013
Using SPOT/VGT NDVI time series images (2002-2009) and MODIS/LST images (2002-2009) smoothed by a Savitzky-Golay filter, the land surface phenology (LSP) and land surface temperature (LST), respectively, are extracted for six cities in the Yangtze River Delta, China, including Shanghai, Hangzhou, Nanjing, Changzhou, Wuxi, and Suzhou.
Guifeng, Han, Jianhua, Xu
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Using SPOT/VGT NDVI time series images (2002-2009) and MODIS/LST images (2002-2009) smoothed by a Savitzky-Golay filter, the land surface phenology (LSP) and land surface temperature (LST), respectively, are extracted for six cities in the Yangtze River Delta, China, including Shanghai, Hangzhou, Nanjing, Changzhou, Wuxi, and Suzhou.
Guifeng, Han, Jianhua, Xu
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Seasonal warming and global land surface phenology
Emerging evidence suggests that temperature increases due to climate change not only differ strongly between regions but also across seasons. As a rule of thumb, one could argue that colder seasons (e.g., winter) tend to warm up faster than warmer seasons, although there are notable exceptions to this rule (e.g., due to changes in the polar vortex ...Jelle Lever +9 more
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Land surface phenology: What do we really ‘see’ from space?
Science of The Total Environment, 2018Land surface phenology (LSP) provides bio-indication of ongoing climate change. It uses space-borne greenness proxies to monitor plant phenology at the landscape level from the regional to global scale. However, several unconsidered methodological and observational -related limitations may lead to misinterpretation of the satellite-derived signals. For
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Spatio-Temporal Statistical Methods for Modelling Land Surface Phenology
2009This chapter surveys 12 different spatio-temporal statistical methods to determine the start and end of the growing season using a time series of satellite images. In the first section of the chapter, we divided the methods into four categories: thresholds, derivatives, smoothing functions, and fitted models.
Kirsten M. de Beurs, Geoffrey M. Henebry
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Land Surface Phenology in a West African Savanna: Impact of Land Use, Land Cover and Fire
2015Phenological change and variation have become increasingly relevant topics in global change science due to recognition of their importance for ecosystem functioning and biogeophysical processes. Remote sensing time series offer great potential for assessing phenological dynamics at landscape, regional and global scales.
Gessner, Ursula +3 more
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Generation and evaluation of the VIIRS land surface phenology product
Remote Sensing of Environment, 2018Abstract Vegetation phenology is widely acknowledged to be a sensitive indicator of the response of ecosystems to climate change, and phenological shifts have been shown to exert substantial impacts on ecosystem function, biodiversity, and carbon budgets at multiple scales.
Xiaoyang Zhang +8 more
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Phenology-induced energy and carbon fluxes in land surface models
2020<p>The annual phenological cycle is of key importance for the carbon and energy fluxes in terrestrial ecosystems. Although the processes controlling budburst and leaf senescence are fairly well known, the connection between plant phenology and the carbon fluxes remains a challenging aspect in land surface modelling (LSM). In this
Jan De Pue +8 more
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