Results 81 to 90 of about 48,547 (310)
The ability to predict climate fluctuations at seasonal timescales offers significant socio‐economic benefits. However, limited understanding of predictability mechanisms and model errors hinders forecast quality. Recent research has improved forecasting systems and data quality.
Gualdi Silvio +12 more
wiley +1 more source
Olive phenology as a sensitive indicator of future climatic warming in the Mediterranean [PDF]
Experimental and modelling work suggests a strong dependence of olive flowering date on spring temperatures. Since airborne pollen concentrations reflect the flowering phenology of olive populations within a radius of 50 km, they may be a sensitive ...
Belmonte J. +41 more
core +1 more source
Compound hot‐dry events occurring during the maize growing period are increasing significantly (p < 0.05) with time, with the median values ranging from 93 to 120 days. El Niño Southern Oscillation (ENSO) influences the variability of compound hot‐dry events with high significance (p < 0.05) positive Pearson correlation.
Mokhele Moeletsi, Mitsuru Tsubo
wiley +1 more source
The use of digital cameras to monitor vegetation phenology (phenocams) has become increasingly common as a means of ground truthing estimates of land surface phenology from Earth observation data.
Stephanie P. Koolen +6 more
doaj +1 more source
Joint UK Land Environment Simulator (JULES) Version 2.2 User Manual [PDF]
The Joint UK Land Environment Simulator (JULES) is a computer model that simulates many soil and vegetation processes. This document describes how to run version 2.2 of JULES.
Clark, Douglas +3 more
core
Object-based Dimensionality Reduction in Land Surface Phenology Classification
Unsupervised classification or clustering of multi-decadal land surface phenology provides a spatio-temporal synopsis of natural and agricultural vegetation response to environmental variability and anthropogenic activities. Notwithstanding the detailed temporal information available in calibrated bi-monthly normalized difference vegetation index (NDVI)
Brian E. Bunker +4 more
openaire +2 more sources
Shifting relative importance of climatic constraints on land surface phenology [PDF]
Land surface phenology (LSP), the study of seasonal dynamics of vegetated land surfaces from remote sensing, is a key indicator of global change, that both responds to and influences weather and climate. The effects of climatic changes on LSP depend on the relative importance of climatic constraints in specific regions—which are not well understood at ...
Garonna, Irene +6 more
openaire +2 more sources
Hidden Markov Quantile Models With Trends for Analysing Air Temperature Data
There is the question of whether climate change, expressed by time‐trends in temperature, is of a heterogeneous nature or not. Here, the time‐trend heterogeneity argument has been investigated using Hidden Markov (HM) quantile time‐trends models in temperature time series.
Georgios Tsiotas +2 more
wiley +1 more source
This study aimed to quantify the spatio‐temporal use of breeding environments by the Eurasian curlew in 5 contrasting agricultural landscapes. To this end, 64 individuals were tagged with GPS devices to assess their space use according to their breeding stages and define their foraging habitat selection.
Marie Donnez +15 more
wiley +1 more source
Land Surface Phenology from MODIS: Characterization of the Collection 5 Global Land Cover Dynamics Product [PDF]
Information related to land surface phenology is important for a variety of applications. For example, phenology is widely used as a diagnostic of ecosystem response to global change.
Friedl, Mark A. +4 more
core +1 more source

