Results 11 to 20 of about 48,829 (304)

Long-term continuity in land surface phenology measurements: A comparative assessment of the MODIS land cover dynamics and VIIRS land surface phenology products

Remote Sensing of Environment, 2019
Abstract Vegetation phenology contributes to, and is diagnostic of, seasonal variation in ecosystem processes and exerts important controls on land-atmosphere exchanges of carbon, water, and energy. Satellite remote sensing provides a valuable source of data for monitoring the phenology of terrestrial ecosystems and has been widely used to map ...
Minkyu Moon, Xiaoyang Zhang, Geoffrey M. Henebry, Lingling Liu, Josh M. Gray, Eli K. Melaas, Mark A. Friedl   +6 more
openaire   +4 more sources

Land surface phenology retrievals for arid and semi-arid ecosystems

ISPRS 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, Jamie Cleverly, Caitlin E. Moore, Yanling Ding, Christopher C. Hall, Xuanlong Ma, Luke A. Brown, Cong Wang, Jason Beringer, Suzanne M. Prober, Craig Macfarlane, Wayne S. Meyer, Gaofei Yin, Alfredo Huete   +13 more
openaire   +5 more sources

Comparing land surface phenology of major European crops as derived from SAR and multispectral data of Sentinel-1 and -2.

Remote Sens Environ, 2021
Meroni M, d'Andrimont R, Vrieling A, Fasbender D, Lemoine G, Rembold F, Seguini L, Verhegghen A.   +7 more
europepmc   +2 more sources

Phenological Responses to Snow Seasonality in the Qilian Mountains Is a Function of Both Elevation and Vegetation Types

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, Wei Zhou, Si Gao, Xuanlong Ma, Kai Yan   +4 more
doaj   +1 more source

Developing global annual land surface phenology datasets (1982–2018) from the AVHRR data using multiple phenology retrieval methods

Ecological Indicators, 2023
Land surface phenology that reflects periodical changes in terrestrial vegetation plays an important role in influencing the functioning and services of ecosystems.
Wei Wu, Ziming Li, Zhicheng Zhang, Chenxi Yan, Kun Xiao, Yidan Wang, Qinchuan Xin   +6 more
doaj   +1 more source

Near Real-time Fine-resolution Land Surface Phenological Prediction Using Convolutional Neural Network and Data Fusion [PDF]

E3S Web of Conferences, 2022
Near real-time fine-resolution land surface phenology (LSP) prediction is essential for understanding surface attributes and ecosystem functions, and solving important ecological processes related to phenology at the landscape scale.
Xiao Kun, Wang Yidan, Wu Wei, Xin Qinchuan   +3 more
doaj   +1 more source

ChinaCropPhen1km: a high-resolution crop phenological dataset for three staple crops in China during 2000–2015 based on leaf area index (LAI) products [PDF]

Earth System Science Data, 2020
Crop phenology provides essential information for monitoring and modeling land surface phenology dynamics and crop management and production. Most previous studies mainly investigated crop phenology at the site scale; however, monitoring and modeling ...
Y. Luo, Z. Zhang, Y. Chen, Z. Li, F. Tao, F. Tao   +5 more
doaj   +1 more source

A deep learning method to predict soil organic carbon content at a regional scale using satellite-based phenology variables

International Journal of Applied Earth Observations and Geoinformation, 2021
Obtaining the spatial distribution information of soil organic carbon (SOC) is significant to quantify the carbon budget and guide land management for migrating carbon emissions.
Lin Yang, Yanyan Cai, Lei Zhang, Mao Guo, Anqi Li, Chenghu Zhou   +5 more
doaj   +1 more source

Quantitative Assessment of the Spatial Scale Effects of the Vegetation Phenology in the Qinling Mountains

Remote Sensing, 2022
Vegetation phenology reflects the temporal dynamics of vegetation growth and is an important indicator of climate change. However, differences consistently exist in land surface phenology derived at different spatial scales, which hinders the ...
Minfei Ma, Jianhong Liu, Mingxing Liu, Wenquan Zhu, Clement Atzberger, Xiaoqing Lv, Ziyue Dong   +6 more
doaj   +1 more source

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