World Environmental and Water Resources Congress 2019
An Attempt to Investigate Change in Crop Acreage with Soil Moisture Variations Derived from Passive Microwave Data
Publication: World Environmental and Water Resources Congress 2019: Watershed Management, Irrigation and Drainage, and Water Resources Planning and Management
ABSTRACT
In this paper an attempt has been made to investigate change in crop acreage with soil moisture variations derived from AMSR-E passive microwave data. A set of 38 soil moisture and corresponding crop acreage observations for 6 Indian states viz. Punjab, Rajasthan, Gujarat, Bihar, Haryana, and Western Uttar Pradesh were analysed which indicated that in general crop acreage increases with increase in soil moisture. Results of statistical analysis (R2) between crop acreage and average soil moisture indicate that soil moisture is one of an important factor which governs crop acreage. Results have also been validated using five independent observations and resulted in a RMSE of 10.62. Study indicates the feasibility of use of large area soil moisture information for the assessment of crop acreage.
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REFERENCES
Srivastava, H. S., Sharma, P. K., Kumar, D., Sivasankar, T., Mishra, R. S., Mishra, M. and Patel, P. (2015). “Soil moisture variation over parts of Saharanpur and Haridwar districts (India) during November-2006 to June-2007 as observed by multi-polarized (VV/HH & VV/VH) ENVISAT-1 temporal ASAR data.” International Journal of Advanced Engineering Research and Science., 2(1) 31–39.
Srivastava, H. S., Patel, P. and Navalgund, R. R. (2006). “How far SAR has fulfilled its expectation for soil moisture retrieval?” Microwave Remote Sensing of the Atmosphere and Environment V, Proc. of SPIE., 6410, 1–1.
Shukla, A., Panchal, H., Mishra, M., Patel, P. R., Srivastava, H. S., Patel, P. and Shukla, A. K. (2014). “Soil Moisture Estimation using Gravimetric Technique and FRD Probe Technique: A Comparative Analysis.” American International Journal of Research in Formal, Applied & Natural Sciences., 8(1) 89–92.
Srivastava, H. S. (2010). “Monitoring of soil moisture using multi-parametric Synthetic Aperture Radar (SAR) data.” Ph.D. Dissertation, Chhatrapati Shahu Ji Maharaj University, Kanpur, India.
Singh, G., Srivastava, H. S., Mesapam, S. and Patel, P. (2015). “Analysis of monthly soil moisture variations derived from AMSR-E for the year 2010 over Indian subcontinent.” Proceedings, International Conference on Sustainable Energy and Built Environment, VIT University, 539–545.
Ulaby, F. T., Dubois, P. C., and Jacob, V.Z. (1996). “Radar mapping of surface soil moisture.” Journal of Hydrology. 184(1-2), 57–84.
Srivastava, H. S., Patel, P., Manchanda, M. L. and Adiga, S. (2002). “An attempt to incorporate the effect of crop cover in the soil moisture estimation using multi-incidence angle RADARSAT-1 SAR data.” Asian Journal of Geoinformatics., 2(1), 33–40.
Srivastava, H. S., Patel, P., Manchanda, M. L. and Adiga, S. (2003). “Use of multi-incidence angle RADARSAT-1 SAR data to incorporate the effect of surface roughness in soil moisture estimation.” IEEE Transactions on Geoscience and Remote Sensing., 41(7), 1638–1640.
Srivastava, H. S., Patel, P. and Navalgund, R. R. (2006). “Incorporating soil texture in soil moisture estimation from extended low-1 beam mode RADARSAT-1 SAR data.” International Journal of Remote Sensing., 27(12), 2587–2598.
Kornelen, K. C. and Coulibaly, P. (2013). “Advances in soil moisture retrieval from synthetic aperture radar and hydrological applications.” Journal of Hydrology., 476, 460–489.
Patel, P., Srivastava, H. S., Panigrahy, S. and Parihar, J. S. (2006). “Comparative evaluation of the sensitivity of multi-polarized multi-frequency SAR backscatter to plant density.” International Journal of Remote Sensing., 27(2), 293–305.
Srivastava, H. S., Patel, P., Navalgund, R. R. and Sharma, Y. (2008). “Retrieval of surface roughness using multi-polarized Envisat-1 ASAR data.” Geocarto Int., 23(1), 67–77.
Patel, P., Srivastava, H. S. and Navalgund, R. R. (2009). “Use of synthetic aperture radar polarimetry to characterize wetland targets of Keoladeo National Park, Bharatpur, India.” Current Science., 97(4), 529–537.
Srivastava, H. S., Patel, P., Sharma, K. P., Krishnamurthy, Y. V. N. and Dadhwal, V. K. (2011). “A semi-empirical modeling approach to calculate two-way attenuation in radar backscatter from soil due to crop cover.” Current Science., 100(12), 1871–1874.
Patel, P. and Srivastava, H. S. (2015). “An approach to validate soil moisture derived from passive microwave sensors using SAR as an interface.” International Journal of Remote Sensing., 36(9), 2353–2374.
Martinez, C., Hancock, G. R., Kalma, J. D. and Wells, T. (2007). “Spatio-temporal distribution of near-surface and root zone soil moisture at the catchment scale.” Hydrological Processes., 22(4) 2699–2714.
Verhoest, N. E. C., Lievens, H., Wagner, W., Àlvarez-Mozos, J., Moran, M. S. and Mattia, F. (2008). “On the soil roughness parameterization problem in soil moisture retrieval of bare surfaces from synthetic aperture radar.” Sens. J., 8, 4213–4248.
Berthet, L., Andréassian, V., Perrin, C. and Javelle, P. (2009). “How crucial is it to account for the Antecedent Moisture Conditions in flood forecasting? Comparison of event-based and continuous approaches on 178 catchments.” Hydrology and Earth System Sciences., 13, 819–831.
Brocca, L., Melone, F., Moramarco, T. and Singh, V. P., (2014). “Assimilation of observed soil moisture data in storm rainfall-runoff modelling.” Journal of Hydrologic Engineering., 14(2), 153–165.
Bhagia, N., Oza, M.P., Rajak, D.R., Singh, R.P., Sehgal, V.K., Ravi, N., Srivastava, H.S., Patel, J.H., Ray, S.S. and Dadhwal, V.K. (1997). “An attempt to make national wheat production forecast using multidate WiFS data for 1996-97 season.” Bull. National Natural Resources Management System, NNRMS (B)-21, 54–58.
Patel, P., Srivastava, H. S., and Navalgund, R. R., (2006). “Estimating wheat yield: an approach for estimating number of grains using cross-polarized ENVISAT-1 ASAR data.” Proceedings SPIE 6410.
Koster, R. D., Mahanama, S. P. P., Livneh, B., Lettenmaier, D. P. and Reichle, R. H. (2010). “Skill in stream-flow forecasts derived from large-scale estimates of soil moisture and snow.” Nature Geosciences., 3, 613–6.
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Information
Published In
World Environmental and Water Resources Congress 2019: Watershed Management, Irrigation and Drainage, and Water Resources Planning and Management
Pages: 83 - 90
Editors: Gregory F. Scott and William Hamilton, Ph.D.
ISBN (Online): 978-0-7844-8233-9
Copyright
© 2019 American Society of Civil Engineers.
History
Published online: May 16, 2019
Published in print: May 16, 2019
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