Use of Multi-Temporal Satellite Data for Crop Identification and Monitoring

Authors : Tutu Sengupta, Satish Sharma, Prashant Rajankar.

Volume/Issue : Volume 4 - 2019, Issue 3 - March

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Use of remotely sensed data in crop identification, inventory and management, is a new research area. The identification of a particular crop is difficult and needs many more experimentation and algorithms before it can be operationalized. The demand for the correct identification of crop is increasing due to irrigation water cess calculation, monitoring crop health and vigor, production estimation etc. New algorithms and classification techniques are needed to meet this challenge. Present paper deals with method for identification of wheat using spectral profile created using multi date satellite data and two stage classification technique. The use of geo-spatial technology like remote sensing, Geographic information system (GIS), global positioning systems (GPS), help in identification of the particular crop and pin-pointing such fields. The spectral profile using Normalised Difference Vegetation Index (NDVI) can be created for the identification of various crops and used for their discrimination and proper delineation. The results obtained suggest that this can be a viable solution to the problem of crop identifiation, inventory and management.

Keywords : Remote Sensing (RS), GIS, GPS, Maximum Likelihood Classifier (MXL), Normalized Difference Vegetation Index (NDVI), ISODATA Clustering, Spectral Profile, Temporal Profile.


Paper Submission Last Date
31 - December - 2023

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