Results 51 to 60 of about 7,403 (276)

Alternative methods to predict actual evapotranspiration illustrate the importance of accounting for phenology – Part 2: The event driven phenology model [PDF]

open access: yesBiogeosciences, 2012
Evapotranspiration (ET) flux constitutes a major component of both the water and energy balances at the land surface. Among the many factors that control evapotranspiration, phenology poses a major source of uncertainty in attempts to predict ET ...
V. Kovalskyy, G. M. Henebry
doaj   +1 more source

Land surface phenology retrievals for arid and semi-arid ecosystems [PDF]

open access: yesISPRS Journal of Photogrammetry and Remote Sensing, 2022
Land surface phenology (LSP) plays a critical role in the regulation of photosynthesis, evapotranspiration, and energy fluxes. Significant progress has been made in extracting LSP information over large areas using satellite data, yet LSP retrievals remain a challenge over vast arid and semi-arid ecosystems because of sparse greenness, high variability
Qiaoyun Xie   +13 more
openaire   +2 more sources

Trends in land surface phenology across the conterminous United States (1982‐2016) analyzed by NEON domains [PDF]

open access: yes, 2021
Tracking phenological change in a regionally explicit context is a key to understanding ecosystem status and change. The current study investigated long-term trends of satellite-observed land surface phenology (LSP) in the 17 National Ecological ...
Liang, Liang   +9 more
core   +2 more sources

Land surface phenology and biodiversity in Zambian woodlands [PDF]

open access: yes
Seasonal foliage display (leaf phenology) is a key determinant of ecosystem function. Variation in land surface phenology, observed via space-borne remote sensing, can be explained at broad spatial scales by climate, but we lack understanding of how ...
Godlee, John L, Siampale, Abel
core   +1 more source

Land surface phenology dynamics and climate variations in the North East China Transect (NECT), 1982-2000 [PDF]

open access: yes, 2008
Land surface phenology dynamics reflect the response of the Earth's biosphere to inter- and intra-annual dynamics of the Earth's climate and hydrologic regimes.
Ishigooka Y.   +4 more
core   +2 more sources

Response of Vegetation Phenology to Climate Change on the Tibetan Plateau Considering Time-Lag and Cumulative Effects

open access: yesRemote Sensing, 2023
The study of the response of vegetation phenology in the Qinghai Tibet Plateau to various climatic variables is paramount to unveiling the reaction of alpine ecosystems to worldwide climate alterations.
Xiaohui He   +4 more
doaj   +1 more source

Evaluations and comparisons of rule-based and machine-learning-based methods to retrieve satellite-based vegetation phenology using MODIS and USA National Phenology Network data

open access: yesInternational Journal of Applied Earth Observations and Geoinformation, 2020
Vegetation phenology is a sensitive indicator that reflects the vegetation–atmosphere interactions and vegetation processes under global atmospheric changes.
Qinchuan Xin   +4 more
doaj   +1 more source

A prognostic pollen emissions model for climate models (PECM1.0) [PDF]

open access: yesGeoscientific Model Development, 2017
We develop a prognostic model called Pollen Emissions for Climate Models (PECM) for use within regional and global climate models to simulate pollen counts over the seasonal cycle based on geography, vegetation type, and meteorological parameters ...
M. C. Wozniak, A. L. Steiner
doaj   +1 more source

Improving Remote Estimation of Vegetation Phenology Using GCOM-C/SGLI Land Surface Reflectance Data

open access: yesRemote Sensing, 2022
Vegetation phenology not only describes the life cycle events of periodic plants during the growing season but also acts as an indicator of biological responses to climate change.
Mengyu Li, Wei Yang, Akihiko Kondoh
doaj   +1 more source

Comparative Assessment of Landsat‐8 and SPOT‐7 Satellite Data With Field Spectral Measurements for Estimating Plant Diversity in Sandy Grasslands

open access: yesBiological Diversity, EarlyView.
We compared Landsat‐8 OLI, SPOT, and hyperspectral data for estimating vascular plant diversity in China's Hunshandak Sandland. SPOT data showed the strongest correlation with alpha diversity, followed by hyperspectral data, with Landsat‐8 performing the weakest.
Ying Ye   +3 more
wiley   +1 more source

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