Abstract:
Most of the vegetation growth in Mexico shows clear responses to the availability and abundance of surface water which can almost exclusively be linked to rainfall. This ...Show MoreMetadata
Abstract:
Most of the vegetation growth in Mexico shows clear responses to the availability and abundance of surface water which can almost exclusively be linked to rainfall. This study employs four years of time series with daily precipitation and modeled surface reflectance at a spatial resolution of 0.05° which were analyzed for lag-dependent linear serial correlation. Positive lags of, on average, 1 to 1.5 months between precipitation and NDVI as a surrogate for vegetation growth as well as statistically significant correlation coefficients (p<;0.05) were found for vegetated surfaces. Vegetation types which are physiologically more dependent on precipitation for seasonal vegetation growth show a shorter response time and stronger relationship to precipitation than evergreen forests and shrublands. The relationship with respect to precipitation variations among several years remains inconclusive.
Published in: 2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp)
Date of Conference: 27-29 June 2017
Date Added to IEEE Xplore: 14 September 2017
ISBN Information: