Many studies already investigated the impact of climate change and climate variability on vegetation at global and continental scales. Low resolution satellite imagery is one of the main sources of information. In this paper, we describe a strategy to improve the quality of 10-daily time series of Normalized Difference Vegetation Index derived from SPOT-VEGETATION. A specifi c methodology was also defi ned in order to identify optimal test sites for the analysis of climate control on intra-annual dynamic of croplands. Finally two cases studies are presented to illustrate this research and in particular the non linear relationship between NDVI and meteorological parameters during the growing season
The accurate evaluation of shifts in vegetation phenology is essential for understanding of vegetati...
Remote sensing multi-decadal time-series provide important information for analysing long-term envir...
Vegetation seasonality assessment through remote sensing data is crucial to understand ecosystem res...
Climate variability has a large impact on the vegetation dynamics. To quantify this impact a study i...
peer reviewedMany studies already investigated the impact of climate change and climate variability ...
To evaluate human impacts on forests and other carbon-storing ecosystems, temporal patterns of veget...
The forcing role of climate variability on vegetation was examined over East and Central Africa, usi...
A global observation capacity is required for agricultural production forecasts and food security al...
This paper analyses the impact of climate on vegetation growth for a rural, mountainous region in No...
In this paper we investigated if and how a signature of climate control on vegetation growth can be ...
Comprehensive understanding of the interactions between climate and vegetation is a key issue in env...
Changes in vegetation activity are driven by multiple natural and anthropogenic factors, which can b...
The satellite-derived normalised difference vegetation index (NDVI) offers new opportunities to asse...
Vegetation seasonality assessment through remote sensing data is crucial to understand ecosystem res...
Change detection within non-stationary and unequally spaced remote sensing time series has become a ...
The accurate evaluation of shifts in vegetation phenology is essential for understanding of vegetati...
Remote sensing multi-decadal time-series provide important information for analysing long-term envir...
Vegetation seasonality assessment through remote sensing data is crucial to understand ecosystem res...
Climate variability has a large impact on the vegetation dynamics. To quantify this impact a study i...
peer reviewedMany studies already investigated the impact of climate change and climate variability ...
To evaluate human impacts on forests and other carbon-storing ecosystems, temporal patterns of veget...
The forcing role of climate variability on vegetation was examined over East and Central Africa, usi...
A global observation capacity is required for agricultural production forecasts and food security al...
This paper analyses the impact of climate on vegetation growth for a rural, mountainous region in No...
In this paper we investigated if and how a signature of climate control on vegetation growth can be ...
Comprehensive understanding of the interactions between climate and vegetation is a key issue in env...
Changes in vegetation activity are driven by multiple natural and anthropogenic factors, which can b...
The satellite-derived normalised difference vegetation index (NDVI) offers new opportunities to asse...
Vegetation seasonality assessment through remote sensing data is crucial to understand ecosystem res...
Change detection within non-stationary and unequally spaced remote sensing time series has become a ...
The accurate evaluation of shifts in vegetation phenology is essential for understanding of vegetati...
Remote sensing multi-decadal time-series provide important information for analysing long-term envir...
Vegetation seasonality assessment through remote sensing data is crucial to understand ecosystem res...