Back close

Mapping Specific Crop- A Multi-Sensor Temporal Approach

Publication Type : Conference Proceedings

Thematic Areas : Wireless Network and Application

Publisher : IEEE

Source : IGARSS (IEEE International Geoscience and Remote Sensing Symposium) (Oral Presentation), IEEE, München, Germany (2012)

Url :

Campus : Amritapuri

School : School of Engineering

Center : Amrita Center for Wireless Networks and Applications (AmritaWNA)

Department : Wireless Networks and Applications (AWNA)

Year : 2012

Abstract : This study explores the applicability of temporal and multi sensor data for specific crop mapping. For this, temporal data from a single sensor (LISS III from IRS- P6 satellite) was used and classified after selecting the best dates for mapping. In the second case a Landsat- 5 TM image (other sensor/ multi sensor approach) is added to the selected best LISS III temporal dates combination and classified again for evaluating the effect of the addition of a another sensor data (i.e. Landsat- 5 TM) on the overall accuracy of classification. A Possibilistic c-Means (PCM) classification technique has been used for extracting single class of interest (Sugarcane-ratoon) and for including the mixed pixels occurring in the heterogeneous landscape of the study area. In the absence of reference data, evaluation of the soft (fuzzy) classified outputs was done as an entropy measurement, where entropy provides an indirect absolute measurement of the classification accuracy in the form of an uncertainty measure.

Cite this Research Publication : G. Misra, Kumar, A., Patel, N. R., Zurita-Milla, R., and Alka Singh, “Mapping Specific Crop- A Multi-Sensor Temporal Approach”, in IGARSS (IEEE International Geoscience and Remote Sensing Symposium) (Oral Presentation), München, Germany, 2012.

Admissions Apply Now