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International Journal of Remote Sensing Volume 17, 1996 - Issue 9
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Original Articles

Comparative performance of thematic mapper middle-infrared bands in crop discrimination

V. K. DADHWAL Agricultural Resources Division (RSAG), Space Applications Centre (ISRO), Ahmedabad, 380 053, India
,
J. S. PARIHAR Agricultural Resources Division (RSAG), Space Applications Centre (ISRO), Ahmedabad, 380 053, India
,
T. T. MEDHAVY Agricultural Resources Division (RSAG), Space Applications Centre (ISRO), Ahmedabad, 380 053, India
,
D. S. RUHAL Department of Soils, Chaudhary Charan Singh Haryana Agricultural University, Hisar, 125 004, India
,
S. D. JARWAL Department of Soils, Chaudhary Charan Singh Haryana Agricultural University, Hisar, 125 004, India
&
A. P. KHERA Department of Soils, Chaudhary Charan Singh Haryana Agricultural University, Hisar, 125 004, India
Pages 1727-1734 | Received 04 Jun 1991, Accepted 15 Sep 1995, Published online: 27 Apr 2007

Citations (14)

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Virupakshagouda C. Patil, Khalid A. Al-Gaadi, Rangaswamy Madugundu, ElKamil Tola, Ahmed M. Zeyada, Samy Marey & Chandrashekhar M Biradar. (2018) CART and IDC – based classification of irrigated agricultural fields using multi-source satellite data. Geocarto International 33:1, pages 70-88.
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I. Herrmann, A. Karnieli, D. J. Bonfil, Y. Cohen & V. Alchanatis. (2010) SWIR-based spectral indices for assessing nitrogen content in potato fields. International Journal of Remote Sensing 31:19, pages 5127-5143.
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M. A. Diuk-Wasser$suffix/text()$suffix/text(), M. Bagayoko, N. Sogoba, G. Dolo, M. B. TourÉ, S. F. TraorÉ & C. E. Taylor. (2004) Mapping rice field anopheline breeding habitats in Mali, West Africa, using Landsat ETM+ sensor data . International Journal of Remote Sensing 25:2, pages 359-376.
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R.P. Singh, V.N. Sridhar, V.K. Dadhwal, R.R. Navalgund & K.P. Singh. (2002) Comparative Evaluation of Indian Remote Sensing Multi‐Spectral Sensors Data for Crop Classification. Geocarto International 17:2, pages 7-12.
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DoreenS. Boyd & PaulJ. Curran. (1998) Using remote sensing to reduce uncertainties in the global carbon budget: The potential of radiation acquired in middle infrared wavelengths. Remote Sensing Reviews 16:4, pages 293-327.
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Articles from other publishers (9)

A. Senthil Kumar, N. Aparna & Shailesh R. Nayak. (2020) Remembering IRS-1C Mission: The “Game Changer” of Indian Earth Observation Program. Journal of the Indian Society of Remote Sensing 49:1, pages 9-22.
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Suraj Kumar Singh, Shruti Kanga & Sudhanshu. (2018) Assessment of Geospatial Approaches Used for Classification of Crops. International Journal of Mathematical, Engineering and Management Sciences 3:3, pages 271-279.
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Rabindra K. Panigrahy, S. S. Ray & S. Panigrahy. (2009) Study on the utility of IRS-P6 AWiFS SWIR band for crop discrimination and classification. Journal of the Indian Society of Remote Sensing 37:2, pages 325-333.
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P.K. Joshi, B. Gupta & P.S. Roy. (2008) Spectral evaluation of vegetation features using multi‐satellite sensor system (Terra ASTER, Landsat ETM + and IRS 1D LISS III) in man‐made and natural landscape . Sensor Review 28:1, pages 52-61.
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S.I. Hay. 2000. Remote Sensing and Geographical Information Systems in Epidemiology. Remote Sensing and Geographical Information Systems in Epidemiology 1 35 .
N L Purohit, F K Joshi, D S Sankhla, N Ravi, Sudha Ravindranath & V K Dadhwal. (1997) Accuracy of mustard and wheat inventory at village-level using liss-II digital data in pali district, Rajasthan. Journal of the Indian Society of Remote Sensing 25:3, pages 163-168.
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H. Tsuhasa & S.A.P. Ceballos. (1997) Comparison between classified result of paddy field and statistic data of the production. Comparison between classified result of paddy field and statistic data of the production.
M Poza, NITA Bhagia, J H Patel, SUJAY Dutta & V K Dadhwal. (1996) National Wheat Acreage Estimation for 1995-96 Using Multi-Date IRS-1C WiFS Data. Journal of the Indian Society of Remote Sensing 24:4, pages 243-254.
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C. Patnaik & V. K. Dadhwal. (1995) Study of crop discrimination by simulated IRS 1C LISS-III data. Journal of the Indian Society of Remote Sensing 23:4, pages 195-199.
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