Results 21 to 30 of about 6,260,921 (223)
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 +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 +5 more
doaj +1 more source
Validation and application of the MERIS Terrestrial Chlorophyll Index. [PDF]
Climate is one of the key variables driving ecosystems at local to global scales. How and to what extent vegetation responds to climate variability is a challenging topic for global change analysis.
Almond, Samuel Francis
core +9 more sources
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 +5 more
doaj +1 more source
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 +6 more
doaj +1 more source
War, Drought, and Phenology: Changes in the Land Surface Phenology of Afghanistan Since 1982 [PDF]
2006 IEEE International Symposium on Geoscience and Remote Sensing, 2006 War and resulting institutional changes can be important drivers of land use and land cover change. We explore how war, its consequences, and drought have affected the land surface phenology (LSP) of Afghanistan. Afghanistan offers a unique case of a semi-arid country with multiple institutional changes during the past two decades.
Kirsten M. de Beurs, Geoffrey M. Henebry
openaire +3 more sources
What is driving the phenology across the Amazon? A benchmark for land-surface models [PDF]
, 2010 We present a study which has used a Fourier-based time-series analysis method applied to 8 years of EO-derived observations of phenology (vegetation indices) and their potential drivers (downward shortwave radiation and precipitation).
Anderson, Liana +8 more
core +3 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 +3 more
doaj +1 more source
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 +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 +6 more
doaj +1 more source