Results 21 to 30 of about 5,868 (254)

Intercomparison of satellite sensor land surface phenology and ground phenology in Europe [PDF]

Geophysical Research Letters, 2015
AbstractLand surface phenology (LSP) and ground phenology (GP) are both important sources of information for monitoring terrestrial ecosystem responses to climate changes. Each measures different vegetation phenological stages and has different sources of uncertainties, which make comparison in absolute terms challenging, and therefore, there has been ...
V. F. Rodriguez‐Galiano, J. Dash, P. M. Atkinson   +2 more
openaire   +5 more sources

Vegetation Phenology Influenced by Rapid Urbanization of The Yangtze Delta Region

Remote Sensing, 2020
Impacts of urbanization and climate change on ecosystems are widely studied, but these drivers of change are often difficult to isolate from each other and interactions are complicated.
Haiyong Ding, Luming Xu, Andrew J. Elmore, Yuli Shi   +3 more
doaj   +1 more source

Land Surface Snow Phenology Based on an Improved Downscaling Method in the Southern Gansu Plateau, China

Remote Sensing, 2022
Snow is involved in and influences water–energy processes at multiple scales. Studies on land surface snow phenology are an important part of cryosphere science and are a hot spot in the hydrological community.
Lei Wu, Changbin Li, Xuhong Xie, Jianan Lv, Songbing Zou, Xuan Zhou, Na Shen   +6 more
doaj   +1 more source

Spatiotemporal Characteristics and Heterogeneity of Vegetation Phenology in the Yangtze River Delta

Remote Sensing, 2022
Vegetation phenology and its spatiotemporal driving factors are essential to reflect global climate change, the surface carbon cycle and regional ecology, and further quantitative studies on spatiotemporal heterogeneity and its two-way driving are needed.
Cancan Yang, Kai Deng, Daoli Peng, Ling Jiang, Mingwei Zhao, Jinbao Liu, Xincai Qiu   +6 more
doaj   +1 more source

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

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