APLIKASI SIG UNTUK MEMAHAMI FENOMENA TUTUPAN LAHAN DENGAN CITRA SATELIT
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Published:
Sep 14, 2011
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Abstract
Seasonal characteristics of vegetation, such as growing season are closely
related to characteristics of the lower atmosphere, and are therefore
important variables in global models and vegetation monitoring. Normalized
Difference Vegetation Index (NDVI) data derived from the National Oceanic
and Atmospheric Administration’s (NOAA) Advanced Very High Resolution
Radiometer (AVHRR) satellite sensor offer a means of efficiently and
objectively evaluating vegetation response over large geographic areas.
Those vegetation responses were computed based on time-series NDVI
data collected from May 1997 to April 1998 over South East Asia. Measure
of growing season was computed and analyzed for land cover type. It is
difficult if not impossible to objectively define an absolute the time of the
growing season from satellite observations. The purpose of this paper is
to determine the threshold of the growing season by using Geographic
Information System (GIS).
related to characteristics of the lower atmosphere, and are therefore
important variables in global models and vegetation monitoring. Normalized
Difference Vegetation Index (NDVI) data derived from the National Oceanic
and Atmospheric Administration’s (NOAA) Advanced Very High Resolution
Radiometer (AVHRR) satellite sensor offer a means of efficiently and
objectively evaluating vegetation response over large geographic areas.
Those vegetation responses were computed based on time-series NDVI
data collected from May 1997 to April 1998 over South East Asia. Measure
of growing season was computed and analyzed for land cover type. It is
difficult if not impossible to objectively define an absolute the time of the
growing season from satellite observations. The purpose of this paper is
to determine the threshold of the growing season by using Geographic
Information System (GIS).
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RESEARCH ARTICLES
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