Spatial Growth Pattern of Potato in West Bengal using Multi-temporal MODIS NDVI Data
|Ramprasad Kundu1 , Dibyendu Dutta2 , Abhisek Chakrabarty3 , Manoj Kumar Nanda4|
Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-6 , Page no. 52-59, Jun-2018
Online published on Jun 30, 2018
Copyright © Ramprasad Kundu, Dibyendu Dutta, Abhisek Chakrabarty, Manoj Kumar Nanda . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: Ramprasad Kundu, Dibyendu Dutta, Abhisek Chakrabarty, Manoj Kumar Nanda, “Spatial Growth Pattern of Potato in West Bengal using Multi-temporal MODIS NDVI Data”, International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.52-59, 2018.
MLA Style Citation: Ramprasad Kundu, Dibyendu Dutta, Abhisek Chakrabarty, Manoj Kumar Nanda "Spatial Growth Pattern of Potato in West Bengal using Multi-temporal MODIS NDVI Data." International Journal of Computer Sciences and Engineering 6.6 (2018): 52-59.
APA Style Citation: Ramprasad Kundu, Dibyendu Dutta, Abhisek Chakrabarty, Manoj Kumar Nanda, (2018). Spatial Growth Pattern of Potato in West Bengal using Multi-temporal MODIS NDVI Data. International Journal of Computer Sciences and Engineering, 6(6), 52-59.
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|In the agriculture economy, understanding of spatial crop growing pattern is significant to agricultural structure adjustment and regional food safety policy. The phenlogical profile of crop can reflect a real trend of crop growth and therefore have been used to interpret seasonal crop growing patterns. Accurate identification of potato growing areas from other crop is not so easy because of their similar characteristics in the proposed study area. This study proposed a method to precisely predict the spatial potato crop growing pattern in the potato bowl districts of West Bengal by using 16-day composite MODIS NDVI data (MOD13Q1) in the potato cropping year of 2012-13 and 2013-14. Based on time series NDVI data and vast knowledge of field investigation a threshold value was set to build decision trees to pick up the potato crop as well as to eliminate the other crops. As a result, the potato crop area was successfully segregated from the multi-temporal NDVI data. Both predicted potato growing areas derived from MODIS NDVI data and the actual potato growing area is deployed for evaluation and the results give a satisfactory accuracy in both potato cropping year of 2012-13 and 2013-14. This result demonstrated that MODIS NDVI data are potentially good data source for spatial potato crop growing area extraction.|
|Key-Words / Index Term :|
|Potato Crop, Crop Phenology, MODIS, NDVI, Decision Trees|
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