Wheat crop classification using multidate IRS LISS-I data

Autor: Sujay Dutta, Nikunj Patel, T. T. Medhavy, Krp Singh, Naveen Mishra, S. K. Srivastava
Rok vydání: 1998
Předmět:
Zdroj: Journal of the Indian Society of Remote Sensing. 26:7-14
ISSN: 0974-3006
0255-660X
DOI: 10.1007/bf03007334
Popis: Multi temporal dat acquired at different growth stages increases the dimensionality information content and have advantage over single date data for crop classification. Attempt was made to select suitable single date and combination of multidate data for wheat crop classification in Nalanda district of Bihar state where pulses and other crops are also grown in rabi season. Amongst the single date data February data was found to be better for wheat classification in comparison to November. January, March and April data. Combination of first two principal components each derived from IRS LISS-I four band data acquired in January and February was found to be the best set. Wheat classification accuracy achieved was 94.54 percent.
Databáze: OpenAIRE
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