Analyzing phenological characteristics of Mexico with MODIS time series products. Colditz, R., Cord, A., Conrad, C., Mora, F., Maeda, P., & Rainer, R. In Proceedings of the Fifth Iinternational Workshop on the Analysis of Multi-temporal Remote Sensing Images, pages 1–7, Mystic, Connecticut, USA, July, 2009. ![Analyzing phenological characteristics of Mexico with MODIS time series products [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper abstract bibtex Mexico exposes a wide variety of ecosystems ranging from the arid northern interior to lush deciduous and evergreen tropical forests. This North-South gradient is modified by significant changes in elevation. In addition, the northern part of the Peninsula of Baja California belongs to the Mediterranean climate with winter-rain, while the remaining country receives its precipitation during the summer or all year long. These marked gradients in turn provide a unique opportunity for phenological analysis using time series of satellite remote sensing data. The aim of this study is twofold: (1) to characterize the phenology of different ecosystems in Mexico using eight years of time series of remote sensing data and (2) to evaluate the potential of different vegetation index time series and the impact of data processing techniques on the result. The dataset employed for analysis is the MODIS vegetation index product with 1km spatial resolution and a compositing interval of 16 days (MOD13A2, Huete et al. 2002). Both, the Normalized Difference Vegetation Index (NDVI) and the Enhanced Vegetation Index (EVI) will be analyzed.
@inproceedings{colditz_analyzing_2009,
address = {Mystic, Connecticut, USA},
title = {Analyzing phenological characteristics of {Mexico} with {MODIS} time series products},
url = {https://elib.dlr.de/60624/},
abstract = {Mexico exposes a wide variety of ecosystems ranging from the arid northern interior to lush
deciduous and evergreen tropical forests. This North-South gradient is modified by
significant changes in elevation. In addition, the northern part of the Peninsula of Baja
California belongs to the Mediterranean climate with winter-rain, while the remaining
country receives its precipitation during the summer or all year long. These marked
gradients in turn provide a unique opportunity for phenological analysis using time series of
satellite remote sensing data.
The aim of this study is twofold: (1) to characterize the phenology of different ecosystems
in Mexico using eight years of time series of remote sensing data and (2) to evaluate the potential of different vegetation index time series and the impact of data processing
techniques on the result. The dataset employed for analysis is the MODIS vegetation index
product with 1km spatial resolution and a compositing interval of 16 days (MOD13A2,
Huete et al. 2002). Both, the Normalized Difference Vegetation Index (NDVI) and the
Enhanced Vegetation Index (EVI) will be analyzed.},
urldate = {2023-07-05},
booktitle = {Proceedings of the {Fifth} {Iinternational} {Workshop} on the {Analysis} of {Multi}-temporal {Remote} {Sensing} {Images}},
author = {Colditz, Rene and Cord, Anna and Conrad, Christopher and Mora, Franz and Maeda, Pedro and Rainer, Ressl},
month = jul,
year = {2009},
keywords = {Terrestrial Ecoregions (CEC 1997)},
pages = {1--7},
}
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