Idioma:

Trends in Phenological Parameters and Relationship Between Land Surface Phenology and Climate Data in the Hyrcanian Forests of Iran

Kiapasha, Khadije ; Darvishsefat, Ali Asghar ; Julien, Yves ; Sobrino, Jose A. ; Zargham, Nosratoallah ; Attarod, Pedram ; Schaepman, Michael E.

IEEE journal of selected topics in applied earth observations and remote sensing, 2017-11, Vol.10 (11), p.4961-4970 [Periódico revisado por pares]

Piscataway: IEEE

Texto completo disponível

Citações Citado por

Enviar para

Título:
Trends in Phenological Parameters and Relationship Between Land Surface Phenology and Climate Data in the Hyrcanian Forests of Iran
Autor: Kiapasha, Khadije ; Darvishsefat, Ali Asghar ; Julien, Yves ; Sobrino, Jose A. ; Zargham, Nosratoallah ; Attarod, Pedram ; Schaepman, Michael E.
Assuntos: Climate ; Climate change ; Climate variability ; Climatic data ; Coefficients ; Contamination ; Correlation coefficients ; Dynamics ; Earth Observing System ; Ecosystem dynamics ; End of season (EOS) ; Environmental changes ; Forests ; land surface phenology (LSP) ; Land surface temperature ; Meteorology ; Monitoring ; NDVI3g ; Normalized difference vegetative index ; Outliers (statistics) ; Parameters ; Phenology ; Precipitation ; Rainfall ; Regression analysis ; Seasonal variations ; Seasonality ; start of season (SOS) ; Temperature ; Temperature effects ; Temperature measurement ; Time series ; Time series analysis ; Trend analysis ; Trends ; Vegetation ; Vegetation mapping
É parte de: IEEE journal of selected topics in applied earth observations and remote sensing, 2017-11, Vol.10 (11), p.4961-4970
Descrição: Vegetation activity may be changed in response to climate variability by affecting seasonality and phenological events. Monitoring of land surface phenological changes play a key role in understanding feedback of ecosystem dynamics. This study focuses on the analysis of trends in land surface phenology derived parameters using normalized difference vegetation index time series based on Global Inventory Monitoring and Mapping Studies data in the Hyrcanian forests of Iran covering the period 1981-2012. First, we applied interpolation for data reconstruction in order to remove outliers and cloud contamination in time series. Phenological parameters were retrieved by using the midpoint approach, whereas trends were estimated using the Theil-Sen approach. Correlation coefficients were evaluated from multiple linear regression between phenological parameters against temperature and precipitation time series. Significant Mann-Kendall test analysis indicate average start of season (SOS) and end of season (EOS) increased by -0.16 and +0.14 days per year, respectively. Results of significant trend analysis showed that later EOS was associated with increasing temperature trends and we found strongest relationships between temperature and phenological parameters in the west of the Hyrcanian forests, where precipitation was abundant. Moreover, SOS correlated strongly with total precipitation and mean temperature. This study allows us to better estimate the drivers affecting the vegetation dynamics in the Hyrcanian forests of Iran.
Editor: Piscataway: IEEE
Idioma: Inglês

Voltar para lista de resultados

Anterior Resultado 2 Avançar Ir para próxima página

Realização: Logos de Redes Sociais:

Trends in Phenological Parameters and Relationship Between Land Surface Phenology and Climate Data in the Hyrcanian Forests of Iran

Kiapasha, Khadije ; Darvishsefat, Ali Asghar ; Julien, Yves ; Sobrino, Jose A. ; Zargham, Nosratoallah ; Attarod, Pedram ; Schaepman, Michael E.

Piscataway: IEEE

Buscando em bases de dados remotas. Favor aguardar.