Climate change and its effects on vegetation phenology across ecoregions of Ethiopia

Author:

Workie Tenaw Geremew,Debella Habte Jebessa

Publisher

Elsevier BV

Subject

Nature and Landscape Conservation,Ecology,Ecology, Evolution, Behavior and Systematics

Reference39 articles.

1. Inter-comparison of fourmodels for smoothing satellite sensor time-series data to estimate vegetation phenology;Atkinson;Remote Sens. Environ.,2012

2. Improved monitoring of vegetation dynamics at very high latitudes: a new method using MODIS NDVI;Beck;Remote Sens. Environ.,2006

3. Biodiversity, Mexican. www.biodiversidad.gob. [Online] National Commission for the Knowledge and Use of Biodiversity. [Cited: December 14, 2016.] http://www.biodiversidad.gob.mx/v_ingles/region/terrestrialEco.html.

4. A curve fitting procedure to derive inter-annual phenologies from time series of noisy satellite NDVI data;Bradley;Remote Sens. Environ.,2007

5. A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter;Chen;Remote Sens. Environ.,2004

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