BIP! Finder - Applying Markov Chains for NDVI Time Series Forecasting of Latvian Regions

2015 • Applying Markov Chains for NDVI Time Series Forecasting of Latvian Regions

Authors: Stepchenko, Arthur; Chizhov, Jurij

Venue: Information Technology and Management Science

Type: Publication

Abstract: Time series of earth observation based estimates of vegetation inform about variations in vegetation at the scale of Latvia. A vegetation index is an indicator that describes the amount of chlorophyll (the green mass) and shows the relative density and health of vegetation. NDVI index is an important variable for vegetation forecasting and management of various problems, such as climate change monitoring, energy usage monitoring, managing the consumption of natural resources, agricultural productivity monitoring, drought monitoring and forest f... (read more)

Topics: Statistics

DOI: 10.1515/itms-2015-0009

BIP! social metrics: 0 27
External links: Crossref OpenAIRE

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