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P. Ratana

Researcher at University of Arizona

Publications -  15
Citations -  1603

P. Ratana is an academic researcher from University of Arizona. The author has contributed to research in topics: Vegetation & Enhanced vegetation index. The author has an hindex of 8, co-authored 15 publications receiving 1468 citations. Previous affiliations of P. Ratana include Khon Kaen University & University of Technology, Sydney.

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Amazon rainforests green‐up with sunlight in dry season

TL;DR: Huete et al. as discussed by the authors analyzed Amazon vegetation phenology at multiple scales with MODIS satellite measurements from 2000 to 2005, and found that canopy photosynthesis measured from eddy flux towers in both a rainforest and forest conversion site confirm their interpretation of satellite data, and suggest that basinwide carbon fluxes can be constrained by integrating remote sensing and local flux measurements.
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Spatial patterns and temporal dynamics in savanna vegetation phenology across the North Australian Tropical Transect

TL;DR: This study investigated biogeographical and inter-annual patterns in savanna phenology along a 1100 km ecological rainfall gradient, known as North Australian Tropical Transect (NATT), encompassing humid coastal Eucalyptus forests and woodlands to xeric inland Acacia woodlands and shrublands and found good convergence between MODIS EVI and tower GEP, thereby confirming the potential to link these two independent data sources to better understand savanna ecosystem functioning.
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Multiple site tower flux and remote sensing comparisons of tropical forest dynamics in Monsoon Asia

TL;DR: In this paper, the seasonal patterns and relationships of local site tower flux measures of gross primary productivity (Pg) with independent MODIS satellite greenness measures across three Monsoon Asia tropical forest types, encompassing drought-deciduous, dry evergreen, and humid evergreen secondary tropical forests.
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Analysis of Cerrado Physiognomies and Conversion in the MODIS Seasonal-Temporal Domain

TL;DR: In this article, the potential of Terra Moderate Resolution Imaging Spectroradiometer (MODIS) data is analyzed to discriminate among these diverse cerrado physiognomies and converted pastures based on their seasonal dynamics and phenology.