Please use this identifier to cite or link to this item: http://localhost:8081/xmlui/handle/123456789/5860
Title: CROPPING PATTERN SUITABILITY STUDIES IN A PART OF NORTH WESTERN GANGETIC PLAIN USING REMOTE SENSOR DATA
Authors: Nigam, Rajan Kumar
Keywords: CIVIL ENGINEERING;CROPPING PATTERN SUITABILITY;NORTH WESTERN GANGETIC PLAIN;REMOTE SENSOR DATA
Issue Date: 1989
Abstract: The suitability of cropping pattern for an area is mainly governed by the soil properties, water resources, and climatic conditions of the area. The use of remote sensor data in cropping pattern suitability study is necessary to reduce time and cost involve in it. The present study is consist of three parts: (i) Soil survey, (ii) Ground water resource assessment and (iii) Assessment and suggestions about cropping pattern suitability. In soil survey, the boundaries of different soil classes is mapped from FCC based on spectral variation. The field visit is carried out at selected ground sampling points to collect the soil samples, to measure the ground reflectance, and to collect the details about soil depth and status of erosion. The soil samples collected during the field visit, is analyzed in the laboratory to determine texture, salinity and alkalinity of soil. In order to estimate the soil texture from MSS data, the relationship between percentage of sand and clay with the ground reflectance and the relationship between ground reflectance and MSS. data is developed. The details about soil so obtained, is used to modify soil boundaries at some places. The ground water resources is assessed in terms of . safe withdrawl depth of ground water as per the I.A.R.I. guidelines. Finally, the suitability of different common Kharif and rabi crops is assessed based on soil properties water resources and climatic conditions. The conclusions drawn from this study are: (i) remote sensor data can be used for obtaining finer in-formation like soil texture, (ii) the soil boundaries based on spectrally separable classes on LANDSAT FCC is close to the actual soil boundaries, ancr(iii) remote sensor data coupled with ground truth and meteorological data-canipe msed for assessing cropping pattern suitability of the area.
URI: http://hdl.handle.net/123456789/5860
Other Identifiers: M.Tech
Research Supervisor/ Guide: Dubey, O. P.
Shaema, K. P.
metadata.dc.type: M.Tech Dessertation
Appears in Collections:MASTERS' THESES (Civil Engg)

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