Method of Monitoring Forest Vegetation Change based on Change of MODIS NDVI Time Series Pattern
نویسندگان
چکیده
منابع مشابه
Operational Drought Monitoring in Kenya Using MODIS NDVI Time Series
Reliable drought information is of utmost importance for efficient drought management. This paper presents a fully operational processing chain for mapping drought occurrence, extent and strength based on Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) data at 250 m resolution. Illustrations are provided for the territory of Kenya. The process...
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More than 12 years of global observations are now available from NASA’s Moderate Resolution Imaging Spectroradiometer (MODIS). As this time series grows, the MODIS archive provides new opportunities for identification and characterization of land cover at regional to global spatial scales and interannual to decadal temporal scales. In particular, the high temporal frequency of MODIS provides a ...
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Many time-series smoothing methods can be used for reducing noise and extracting plant phenological parameters from remotely-sensed data, but there is still no conclusive evidence in favor of one method over others. Here we use moderate-resolution imaging spectroradiometer (MODIS) derived normalized difference vegetation index (NDVI) to investigate five smoothing methods: Savitzky-Golay fitting...
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ژورنال
عنوان ژورنال: Journal of Korea Spatial Information Society
سال: 2012
ISSN: 2287-9242
DOI: 10.12672/ksis.2012.20.4.047