Results 11 to 20 of about 6,260,921 (223)
Plant phenology evaluation of CRESCENDO land surface models – Part 1: Start and end of the growing season [PDF]
Biogeosciences, 2021 Plant phenology plays a fundamental role in land–atmosphere interactions, and its variability and variations are an indicator of climate and environmental changes.
D. Peano +15 more
doaj +3 more sources
Land surface phenology from VEGETATION and PROBA-V data. Assessment over deciduous forests [PDF]
International Journal of Applied Earth Observations and Geoinformation, 2020 Land surface phenology has been widely retrieved although no consensus exists on the optimal satellite dataset and the method to extract phenology metrics.
Kevin Bórnez +3 more
doaj +2 more sources
Constraints and Opportunities for Detecting Land Surface Phenology in Drylands [PDF]
Journal of Remote Sensing, 2021 Land surface phenology (LSP) enables global-scale tracking of ecosystem processes, but its utility is limited in drylands due to low vegetation cover and resulting low annual amplitudes of vegetation indices (VIs).
Shawn D. Taylor +3 more
doaj +4 more sources
An Empirical Assessment of the MODIS Land Cover Dynamics and TIMESAT Land Surface Phenology Algorithms [PDF]
Remote Sensing, 2019 Observations of vegetation phenology at regional-to-global scales provide important information regarding seasonal variation in the fluxes of energy, carbon, and water between the biosphere and the atmosphere. Numerous algorithms have been developed to estimate phenological transition dates using time series of remotely sensed spectral vegetation ...
Zhanzhang Cai +2 more
exaly +5 more sources
Relative Influence of Timing and Accumulation of Snow on Alpine Land Surface Phenology [PDF]
Journal of Geophysical Research: Biogeosciences, 2018 AbstractTiming and accumulation of snow are among the most important phenomena influencing land surface phenology in mountainous ecosystems. However, our knowledge on their influence on alpine land surface phenology is still limited, and much remains unclear as to which snow metrics are most relevant for studying this interaction.
Xie, Jing +6 more
openaire +5 more sources
Remote Sensing, 2016 Northeast China is located at high northern latitudes and is a typical region of relatively high sensitivity to global climate change. Studies of the land surface phenology in Northeast China and its response to climate change are important for ...
Jianjun Zhao +7 more
doaj +3 more sources
Large scale climate oscillation impacts on temperature, precipitation and land surface phenology in Central Asia [PDF]
Environmental Research Letters, 2018 Central Asia has been rapidly changing in multiple ways over the past few decades. Increases in temperature and likely decreases in precipitation in Central Asia as the result of global climate change are making one of the most arid regions in the world ...
Kirsten M de Beurs +3 more
doaj +3 more sources
RECENT trends in the land surface phenology of africa observed at a fine spatial scale [PDF]
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017 This research describes the seasonal phenological pattern of Africa's vegetation and its recent trends using MODIS EVI time-series data with a relatively fine spatial resolution of 500 m and a long temporal range of 15 years (2001–2015). The objectives were to measure the vegetation phenology of the major land cover types and determine the temporal ...
Tracy Adole +2 more
openaire +3 more sources
Remote Sensing, 2023 Monitoring land surface phenology plays a fundamental role in quantifying the impact of climate change on terrestrial ecosystems. Shifts in land surface spring phenology have become a hot spot in the field of global climate change research.
Wei Wu, Qinchuan Xin
doaj +1 more source
Remote Sensing, 2022 In high-elevation mountains, seasonal snow cover affects land surface phenology and the functioning of the ecosystem. However, studies regarding the long-term effects of snow cover on phenological changes for high mountains are still limited.
Yantao Liu +4 more
doaj +1 more source