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Title: :  AGRICULTURAL CROP CONDITION ASSESSMENT USING SATELLITE BASED VEGETATION CONDITION INDEX AND RAINFALL ANOMALY INDEX OVER SELECTED TEHSIL IN CHHATTISGARH, INDIA
PaperId: :  8855
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 4 Issue 4 2018
DUI:    16.0415/IJARIIE-8855
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
RupanarayanChhattisgarh Council of Science & Technology Raipur, Chhattisgarh, INDIA
Ram Moorat singhChhattisgarh Council of Science & Technology Raipur, Chhattisgarh, INDIA
Akanksha AgrahariMAP_IT (Madhya Pradesh Agency for Promotion of Information Technology)
Hemant DansenaChhattisgarh Council of Science & Technology Raipur, Chhattisgarh, INDIA
Dinesh Kumar Darudkar SoniChhattisgarh Council of Science & Technology Raipur, Chhattisgarh, INDIA

Abstract

Earth Science
Agricultural crop condition, LANDSAT - 8, NDVI, VCI, RAI.
Indian agriculture is heavily dependent on the monsoon and a favorable southwest summer monsoon is critical in ensuring food availability to people of India. Crop condition is environmental phenomenon which can be depending upon its stage – rainfall deficit and/or level of impacts on hydrological cycle and agro-ecosystems. Agricultural crop condition is one of the most prominent affecting economies in Chhattisgarh. Agricultural crop condition has been a recurrent phenomenon in many part of India. Remote sensing plays an important role for near-real time monitoring of the agricultural crop condition over large area. In the present study LANDSAT-8 data from 2013 to 2016 were used for monitoring agricultural crop condition through NDVI based Vegetation condition index. VCI was calculated for whole Durg, Rajnandgaon Bemetara, and Balod district in selected Tehsil using the NDVI variation. Rainfall Anomaly Index was computed from CPC NOAA South Asia observed rainfall data from2013 to 2016 for monitoring of meteorological condition of study area. VCI were compared with meteorological based Rainfall Anomaly index for monitoring Agricultural crop condition Durg, Rajnandgaon Bemetara, and Balod district in Chhattisgarh. Results revealed that VCI and RAI could capture spatial pattern of vegetation condition and dryness within seasons and across different years. A comparative study on kharif crop conditions captured using VCI and RAI was made for different of year’s viz., 2013 to 2016 as agricultural crop condition year, respectively. Crop condition severely affected which clearly discernable with both VCI and RAI of particular year

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IJARIIE Rupanarayan, Ram Moorat singh, Akanksha Agrahari, Hemant Dansena, and Dinesh Kumar Darudkar Soni. "AGRICULTURAL CROP CONDITION ASSESSMENT USING SATELLITE BASED VEGETATION CONDITION INDEX AND RAINFALL ANOMALY INDEX OVER SELECTED TEHSIL IN CHHATTISGARH, INDIA" International Journal Of Advance Research And Innovative Ideas In Education Volume 4 Issue 4 2018 Page 265-274
MLA Rupanarayan, Ram Moorat singh, Akanksha Agrahari, Hemant Dansena, and Dinesh Kumar Darudkar Soni. "AGRICULTURAL CROP CONDITION ASSESSMENT USING SATELLITE BASED VEGETATION CONDITION INDEX AND RAINFALL ANOMALY INDEX OVER SELECTED TEHSIL IN CHHATTISGARH, INDIA." International Journal Of Advance Research And Innovative Ideas In Education 4.4(2018) : 265-274.
APA Rupanarayan, Ram Moorat singh, Akanksha Agrahari, Hemant Dansena, & Dinesh Kumar Darudkar Soni. (2018). AGRICULTURAL CROP CONDITION ASSESSMENT USING SATELLITE BASED VEGETATION CONDITION INDEX AND RAINFALL ANOMALY INDEX OVER SELECTED TEHSIL IN CHHATTISGARH, INDIA. International Journal Of Advance Research And Innovative Ideas In Education, 4(4), 265-274.
Chicago Rupanarayan, Ram Moorat singh, Akanksha Agrahari, Hemant Dansena, and Dinesh Kumar Darudkar Soni. "AGRICULTURAL CROP CONDITION ASSESSMENT USING SATELLITE BASED VEGETATION CONDITION INDEX AND RAINFALL ANOMALY INDEX OVER SELECTED TEHSIL IN CHHATTISGARH, INDIA." International Journal Of Advance Research And Innovative Ideas In Education 4, no. 4 (2018) : 265-274.
Oxford Rupanarayan, Ram Moorat singh, Akanksha Agrahari, Hemant Dansena, and Dinesh Kumar Darudkar Soni. 'AGRICULTURAL CROP CONDITION ASSESSMENT USING SATELLITE BASED VEGETATION CONDITION INDEX AND RAINFALL ANOMALY INDEX OVER SELECTED TEHSIL IN CHHATTISGARH, INDIA', International Journal Of Advance Research And Innovative Ideas In Education, vol. 4, no. 4, 2018, p. 265-274. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/AGRICULTURAL_CROP_CONDITION_ASSESSMENT_USING_SATELLITE_BASED_VEGETATION_CONDITION_INDEX_AND_RAINFALL_ANOMALY_INDEX_OVER_SELECTED_TEHSIL_IN_CHHATTISGARH__INDIA_ijariie8855.pdf (Accessed : 19 April 2022).
Harvard Rupanarayan, Ram Moorat singh, Akanksha Agrahari, Hemant Dansena, and Dinesh Kumar Darudkar Soni. (2018) 'AGRICULTURAL CROP CONDITION ASSESSMENT USING SATELLITE BASED VEGETATION CONDITION INDEX AND RAINFALL ANOMALY INDEX OVER SELECTED TEHSIL IN CHHATTISGARH, INDIA', International Journal Of Advance Research And Innovative Ideas In Education, 4(4), pp. 265-274IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/AGRICULTURAL_CROP_CONDITION_ASSESSMENT_USING_SATELLITE_BASED_VEGETATION_CONDITION_INDEX_AND_RAINFALL_ANOMALY_INDEX_OVER_SELECTED_TEHSIL_IN_CHHATTISGARH__INDIA_ijariie8855.pdf (Accessed : 19 April 2022)
IEEE Rupanarayan, Ram Moorat singh, Akanksha Agrahari, Hemant Dansena, and Dinesh Kumar Darudkar Soni, "AGRICULTURAL CROP CONDITION ASSESSMENT USING SATELLITE BASED VEGETATION CONDITION INDEX AND RAINFALL ANOMALY INDEX OVER SELECTED TEHSIL IN CHHATTISGARH, INDIA," International Journal Of Advance Research And Innovative Ideas In Education, vol. 4, no. 4, pp. 265-274, Jul-Aug 2018. [Online]. Available: http://ijariie.com/AdminUploadPdf/AGRICULTURAL_CROP_CONDITION_ASSESSMENT_USING_SATELLITE_BASED_VEGETATION_CONDITION_INDEX_AND_RAINFALL_ANOMALY_INDEX_OVER_SELECTED_TEHSIL_IN_CHHATTISGARH__INDIA_ijariie8855.pdf [Accessed : 19 April 2022].
Turabian Rupanarayan, Ram Moorat singh, Akanksha Agrahari, Hemant Dansena, and Dinesh Kumar Darudkar Soni. "AGRICULTURAL CROP CONDITION ASSESSMENT USING SATELLITE BASED VEGETATION CONDITION INDEX AND RAINFALL ANOMALY INDEX OVER SELECTED TEHSIL IN CHHATTISGARH, INDIA." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 4 number 4 (19 April 2022).
Vancouver Rupanarayan, Ram Moorat singh, Akanksha Agrahari, Hemant Dansena, and Dinesh Kumar Darudkar Soni. AGRICULTURAL CROP CONDITION ASSESSMENT USING SATELLITE BASED VEGETATION CONDITION INDEX AND RAINFALL ANOMALY INDEX OVER SELECTED TEHSIL IN CHHATTISGARH, INDIA. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2018 [Cited : 19 April 2022]; 4(4) : 265-274. Available from: http://ijariie.com/AdminUploadPdf/AGRICULTURAL_CROP_CONDITION_ASSESSMENT_USING_SATELLITE_BASED_VEGETATION_CONDITION_INDEX_AND_RAINFALL_ANOMALY_INDEX_OVER_SELECTED_TEHSIL_IN_CHHATTISGARH__INDIA_ijariie8855.pdf
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