Normalized Difference Vegetation Index (NDVI) applied to the agricultural indigenous territory of Kashaama, Venezuela
DOI:
https://doi.org/10.22458/urj.v11i2.2299Keywords:
remote sensing, vegetation, climate, sustainability, land.Abstract
Introduction: multi-temporal analysis of satellite images help monitor the evolution of plant communities and agricultural crops, especially in vulnerable areas. Objective: to analyze the behavior of the Normalized Difference Vegetation Index (NDVI) in the indigenous agricultural community of Kashaama, Venezuela, during the period 2012-2013. Methods: the data used was MOD13Q1 of the MODIS sensor, which contains the NDVI. Result: the average behavior of the NDVI is directly associated with the main physiographic and climatic characteristics of the region. Conclusion: the method facilitated the elaboration of maps that, together with computerized treatment of the satellite images, reliably discriminate vegetation types and their states, e.g. cultivated versus natural savannah.
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