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| Format: | Artículo científico |
| Language: | en |
| Published: |
Universidade Federal de Lavras
2008
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| Online Access: | https://www.redalyc.org/articulo.oa?id=74414211 |
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Table of Contents:
- The assessment of vegetation seasonal dynamics using multitemporal NDVI and EVI images derived from modis Luis Marcelo Tavares de Carvalho Fausto Weimar Acerbi-Júnior Eduarda Martiniano de Oliveira Silveira José Marcio de Mello Agrociencias time series Remote sensing vegetation indies The objectives of this work were to characterize seasonal dynamics of cerrado, deciduous and semideciduous forestsin the north of Minas Gerais, Brazil. Time series of NDVI (Normalized Difference Vegetation Index) and EVI (Enhanced VegetationIndex) derived from MODIS sensor, were compared by analyzing temporal profiles and image classification results. The resultsshowed that: (1) there is an agreement between vegetation indexes and the monthly precipitation pattern; (2) deciduous forest showedthe lowest values and the highest variation; (3) cerrado and the semideciduous forest presented higher values and lower variation; (4)based on the classification accuracies the best vegetation index for mapping the vegetation classes in the study area was the NDVI,however both indexes might be used to assess the vegetation seasonal dynamic; and (5) further research need to be carried outexploring the use of feature extractions algorithms to improve classification accuracy of cerrado, semideciduous and deciduos forestsin Minas Gerais, Brazil 2008 artículo científico 0104-7760 https://www.redalyc.org/articulo.oa?id=74414211 en http://www.redalyc.org/revista.oa?id=744 CERNE application/pdf Universidade Federal de Lavras CERNE (Brasil) Num.2 Vol.14