• SONU KUMAR
• PANKAJ KUMAR

Over the several decades, remote sensing has emerged as an efficient tool to monitor crop land over a variety of climate condition and location. Remote sensing based vegetation indices show better sensitivity than individual band reflectance and hence are more preferred for crop vigor assessment, crop discrimination, crop monitoring etc. in the present study, spatial extent of paddy crop in Haryana State (India) was estimated by remote sensing data. Moderate resolution imaging spectrometer’s (MODIS) 19 day composite land surface reflection product MOD09Q1data 250m spatial resolution and multispectral time series images of landsat 8 were used for the identification of paddy crop. The pixel based (Iterative Self-Organizing Data analysis Technique) ISODAT classification technique used to discriminate the different crops. In Haryana, rice crop found concentrated in northern parts of state. Karnal, Kurukshetra, Ambala and parts of adjoining districts had vast area under rice. Landsat data gives good quality interpretation because of high resolution but cloud cover remains a problem for rice analysis as it is grown in monsoon (kharif) season. MODIS proved a good alternate for this.

Remote Sensing ,Paddy Crops ,Landsat 8,MODIS,NDVI etc

"AREA ESTIMATION OF PADDY CROP IN HARYANA BY DIFFERENT SENING PLATFORMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.140-148, March-2019, Available :http://www.jetir.org/papers/JETIR1903F19.pdf

"AREA ESTIMATION OF PADDY CROP IN HARYANA BY DIFFERENT SENING PLATFORMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp140-148, March-2019, Available at : http://www.jetir.org/papers/JETIR1903F19.pdf