Sampling approach for estimation of crop acreage under cloud cover satellite data in hilly regions

Prachi Misra Sahoo; Anil Rai; Sudhakar Krishnamoorthy; B. K. Handique; P. P. N. Rao; M. P. Oza; J. S. Parihar

doi:10.1117/12.697964

11 December 2006 Sampling approach for estimation of crop acreage under cloud cover satellite data in hilly regions

Prachi Misra Sahoo, Anil Rai, Sudhakar Krishnamoorthy, B. K. Handique, P. P. N. Rao, M. P. Oza, J. S. Parihar

Proceedings Volume 6411, Agriculture and Hydrology Applications of Remote Sensing; 641109 (2006) https://doi.org/10.1117/12.697964
Event: SPIE Asia-Pacific Remote Sensing, 2006, Goa, India

Abstract

Crop acreage estimation in hilly regions is till date a challenge for the remote sensing community due to the problems of undulating topography, inaccessibility to vast areas, smaller field size, practice of shifting cultivation, accounting for area falling under hill shades and valleys. Remote sensing alone may not be able to provide reliable estimate of crop acreage in these areas. In addition to this if these regions are humid or tropical for which it is difficult to get cloud free data then the problem becomes even more complicated. Many studies has been conducted in past for cloud/shadow removal but to estimate the crop area under the cloud cover has not been attempted. In this study at attempt has been made to estimate area under paddy crop in a district of Meghalaya by using sampling approach devised by integrating remote sensing, GIS and ground survey data taking into account the problem of hilly regions mentioned above. In addition to this technique for estimating the area under cloud /shadow using the previous year data and only on the basis of current year data is also proposed.

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Prachi Misra Sahoo, Anil Rai, Sudhakar Krishnamoorthy, B. K. Handique, P. P. N. Rao, M. P. Oza, and J. S. Parihar "Sampling approach for estimation of crop acreage under cloud cover satellite data in hilly regions", Proc. SPIE 6411, Agriculture and Hydrology Applications of Remote Sensing, 641109 (11 December 2006); https://doi.org/10.1117/12.697964

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KEYWORDS

Clouds

Roads

Satellites

Remote sensing

Global Positioning System

Satellite imaging

Earth observing sensors

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