Aplicação de índices das condições de vegetação no monitoramento em tempo quase real da seca em Moçambique usando NOAA_AVHRR- NDVI
DOI:
https://doi.org/10.11606/issn.2179-0892.geousp.2011.74207Keywords:
Drought, Vegetation index, Monitoring, Satellite imagery, MozambiqueAbstract
This article aims to apply different levels of vegetation conditions and assess their differences and skill in monitoring spatial and temporal distribution of drought in Mozambique based on images from NOAA-AVHRR NDVI. I this sense, we evaluate the differing levels of aptitude of index of vegetation conditions especially Vegetation Condition Index-IVC, Standardized Vegetation Index - SVI and Vegetation Productivity Indicator - VPI in drought monitoring in Mozambique. These indices are derived from images of Normalized Difference Vegetation Index - NDVI from 1981 to 2005, produced from channels 1 and 2 of the sensor Advanced Very High Resolution Radiometer (AVHRR) on board of satellites National Oceanic and Atmospheric Administration (NOAA).
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African Data Dissemination Service/ADDS. Disponível em: <http://igskmncnwb15.cr.usgs.gov/adds/. Acesso em 08 jul. 2005.
FLASSE, S. Identification of potential software and algorithms to be adapted do Meteosat Second Generation (MSG) data in support to MTAP. UK: Flasse Consulting, 2004, Tast2.
JENSEN, J. R. Remote sensing of the environment: an earth resource perspective. Prince Hill: University of South Carolina, 2000.
LIU, W. T.; KOGAN, E. N. “Monitoring drought using vegetation condition index”. International Journal of Remote Sensing, 17(14), 1996, pp. 2761-2782.
PETER et al. “Drought monitoring with NDVI-based standardized vegetation index”. Photogrammetric Engineering and Remote Sensing, 68, 2002, pp.
SINGH et al. “Vegetation and temperature condition indices from NOAA AVHRR data for drought monitoring over India”. International Journal of Remote Sensing, 24(22), 2003, pp. 4393-4402.
SANNIER, C. A. D. “Real-time vegetation monitoring with NOAA-AVHRR in southern Africa for wildlife management and food security assessment”. International Journal of Remote Sensing, 19(4), 1998, pp. 621-639.
UNGANAI, L. S.; KOGAN, E. N. “Drought monitoring and corn yield estimation in southern Africa from AVHRR data”. Remote Sensing of Environment, 63 (3), 1998, pp. 219-233.
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Copyright (c) 2011 Paulo Alberto Covele
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