We developed a model correlating Advanced Very High Resolution Radiometer (AVHRR)-based Temperature \r\nCondition Index (TCI) and Vegetation Condition Index (VCI) with potato yield in Bangladesh. Weekly TCI and VCI \r\nIndices for 1993ââ?¬â??2005 along with official potato yield statistics were used for model development. We found a strong \r\ncorrelation between inter annual variation in potato yield and TCI and VCI during the critical period of potato growth \r\n(vegetative phase and tuber initiation), mid-December to mid-January. Principal component regression (PCR) was \r\nused to construct a model to predict potato yield as function of TCI and VCI. The model explained about 75% of yearto-year variation in potato yield. Remote sensing offers valuable and readily obtainable information on potato yield well \r\nin advance of harvest.
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