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Satellite Microwave Radiometry for the Observation of Land Surfaces: A General Review. [PDF]

Sensors (Basel)
Vittucci C, Picchiani M.
europepmc   +1 more source

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Generation and evaluation of the VIIRS land surface phenology product

Remote Sensing of Environment, 2018
Abstract 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, Lingling Liu, Yan Liu, Senthilnath Jayavelu, Jianmin Wang, Minkyu Moon, Geoffrey M. Henebry, Mark A. Friedl, Crystal B. Schaaf   +8 more
openaire   +3 more sources

Land surface phenology from Copernicus Global Land time series

2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp), 2017
The phenology in Europe in the period 1999–2016 was characterized by using of time series of different biophysical variables (LAI, FCOVER, FAPAR and NDVI) estimated from the sensors VEGETATION and PROBA-V in the framework of the Copernicus Global Land Service.
K. Bornez, A. Verger, I. Filella, J. Penuelas   +3 more
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Land Surface Phenology

2009
Land surface phenology (LSP) is a key indicator of ecosystem dynamics under a changing environment. Over the last few decades, numerous studies have used the time series data of vegetation indices derived from land surface reflectance acquired by satellite-based optical sensors to delineate land surface phenology.
Xiangming Xiao, Junhui Zhang, Huimin Yan, Weixing Wu, Chandrashekhar Biradar   +4 more
openaire   +1 more source

Land Surface Phenology

2013
Certain vegetation types (e.g., deciduous shrubs, deciduous trees, grasslands) have distinct life cycles marked by the growth and senescence of leaves and periods of enhanced photosynthetic activity. Where these types exist, recurring changes in foliage alter the reflectance of electromagnetic radiation from the land surface, which can be measured ...
Jonathan M. Hanes, Liang Liang, Jeffrey T. Morisette   +2 more
openaire   +1 more source

Plant phenology evaluation of CRESCENDO land surface models

2020
<p>A new generation of land surface models (LSMs) have been developed in the framework of the EU-funded CRESCENDO project aiming to improve understanding of the Earth system as part of the community CMIP6 effort. <br>These new LSMs explicitly represent key processes in the carbon and nitrogen cycles ...
Deborah Hemming, Daniele Peano, Stefano Materia, Taejin Park, David Warlind, Yuanchao Fan, Hanna Lee, Andy Wiltshire, Chris D Jones   +8 more
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Land Surface Phenology from MODIS data in Germany

MultiTemp 2013: 7th International Workshop on the Analysis of Multi-temporal Remote Sensing Images, 2013
Changes in the timing of phenological events are a critical parameter for quantifying the impact of climate alterations on vegetation development that in reverse alters patterns of biosphere-atmosphere interactions. By the means of remote sensing, numerous approaches have been developed for deriving Land Surface Phenology.
Kübert, Carina, Conrad, Christopher, Klein, Doris, Dech, Stefan   +3 more
openaire   +2 more sources

Mapping oak wilt disease from space using land surface phenology

Remote Sensing of Environment, 2023
The data for this article is openly available from different sources. The spatial points and polygons to extract LSP pixels as well as the coregistered high-resolution RGB images are available at DRYAD (https://doi.org/10.5061/dryad.gtht76hs8). The code for processing the satellite data is available through GitHub (https://github.com/davidfrantz/force),
J. Antonio Guzmán Q., Jesús N. Pinto-Ledezma, David Frantz, Philip A. Townsend, Jennifer Juzwik, Jeannine Cavender-Bares   +5 more
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