Results 41 to 50 of about 7,403 (276)

Implementation of a new crop phenology and irrigation scheme in the ISBA land surface model using SURFEX_v8.1 [PDF]

Geoscientific Model Development, 2022
With an increase in the number of natural processes represented, global land surface models (LSMs) have become more and more accurate in representing natural terrestrial ecosystems.
A. Druel, A. Druel, S. Munier, A. Mucia, C. Albergel, C. Albergel, J.-C. Calvet   +6 more
doaj   +1 more source

Land surface phenology as an indicator of biodiversity patterns [PDF]

Ecological Indicators, 2016
Abstract With the rapid decline in biodiversity worldwide it is imperative to develop procedures for assessing changes in biodiversity across space. The synoptic view provided by imaging remote sensors constitutes a suitable approach for analyzing biodiversity from local to regional scales.
Andrés Viña, Wei Liu, Shiqiang Zhou, Jinyan Huang, Jianguo Liu   +4 more
openaire   +1 more source

Land Surface Phenology in the Tropics: The Role of Climate and Topography in a Snow-Free Mountain [PDF]

, 2017
Leaf phenology represents a major temporal component of ecosystem functioning, and understanding the drivers of seasonal variation in phenology is essential to understand plant responses to climate change.
Streher, Annia Susin, Annia Susin Streher, Sobreiro, João Francisco Ferreira, Morellato, Leonor Patrícia Cerdeira, Silva, Thiago Sanna Freire, Leonor Patrícia Cerdeira Morellato, Thiago Sanna Freire Silva, Sobreiro, João Francisco Ferreira [UNESP], Silva, Thiago Sanna Freire [UNESP], Streher, Annia Susin [UNESP], Morellato, Leonor Patrícia Cerdeira [UNESP], João Francisco Ferreira Sobreiro   +11 more
core   +1 more source

Comparisons of numerical phenology models and machine learning methods on predicting the spring onset of natural vegetation across the Northern Hemisphere

Ecological Indicators, 2021
The timing of vegetation spring onset is largely influenced by climate factors, making it sensitive to climate variation. Robust models that predict vegetation spring onset via the climate forcing data are needed in the land surface models for ...
Wanjing Li, Qinchuan Xin, Xuewen Zhou, Zhicheng Zhang, Yongjian Ruan   +4 more
doaj   +1 more source

Improving vegetation phenological parameterization of a land surface model [PDF]

, 2016
Abstract. The growing degree day (GDD) model and the growing season index (GSI) model are two common approaches used in various land surface models (LSMs) for simulating phenophases. The capacity of these two models for simulating phenolphases was evaluated by coupling them to a LSM (DLM: Dynamic Land Model) and validated by observation data from the ...
Baozhang Chen, M. Che
openaire   +2 more sources

Impacts of Thermal Time on Land Surface Phenology in Urban Areas [PDF]

Remote Sensing, 2017
Urban areas alter local atmospheric conditions by modifying surface albedo and consequently the surface radiation and energy balances, releasing waste heat from anthropogenic uses, and increasing atmospheric aerosols, all of which combine to increase temperatures in cities, especially overnight, compared with surrounding rural areas, resulting in a ...
Cole Krehbiel, Xiaoyang Zhang 0001, Geoffrey M. Henebry   +2 more
openaire   +1 more source

Estimating and Monitoring Land Surface Phenology in Rangelands: A Review of Progress and Challenges [PDF]

Remote Sensing, 2021
Land surface phenology (LSP) has been extensively explored from global archives of satellite observations to track and monitor the seasonality of rangeland ecosystems in response to climate change. Long term monitoring of LSP provides large potential for the evaluation of interactions and feedbacks between climate and vegetation.
Trylee Nyasha Matongera, Onisimo Mutanga, Mbulisi Sibanda, John Odindi   +3 more
openaire   +3 more sources

Global-Scale Associations of Vegetation Phenology with Rainfall and Temperature at a High Spatio-Temporal Resolution

Remote Sensing, 2014
Phenology response to climatic variables is a vital indicator for understanding changes in biosphere processes as related to possible climate change. We investigated global phenology relationships to precipitation and land surface temperature (LST) at ...
Nicholas Clinton, Le Yu, Haohuan Fu, Conghui He, Peng Gong   +4 more
doaj   +1 more source

Land surface phenological response to decadal climate variability across Australia using satellite remote sensing [PDF]

Biogeosciences, 2014
Land surface phenological cycles of vegetation greening and browning are influenced by variability in climatic forcing. Quantitative spatial information on phenological cycles and their variability is important for agricultural applications, wildfire ...
M. Broich, A. Huete, M. G. Tulbure, X. Ma, Q. Xin, M. Paget, N. Restrepo-Coupe, K. Davies, R. Devadas, A. Held   +9 more
doaj   +1 more source

Characterising the Land Surface Phenology of Europe Using Decadal MERIS Data [PDF]

Remote Sensing, 2015
Land surface phenology (LSP), the study of the timing of recurring cycles of changes in the land surface using time-series of satellite sensor-derived vegetation indices, is a valuable tool for monitoring vegetation at global and continental scales. Characterisation of LSP and its spatial variation is required to reveal and predict ongoing changes in ...
Victor F. Rodriguez-Galiano, Jadunandan Dash, Peter M. Atkinson   +2 more
openaire   +6 more sources