The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XL-1/W5
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W5, 241–247, 2015
https://doi.org/10.5194/isprsarchives-XL-1-W5-241-2015
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W5, 241–247, 2015
https://doi.org/10.5194/isprsarchives-XL-1-W5-241-2015

  11 Dec 2015

11 Dec 2015

SOIL FERTILITY EVALUATION FOR FERTILISER RECOMMENDATION USING HYPERION DATA

Ranendu Ghosh1, N. Padmanabhan2, and K. C. Patel3 Ranendu Ghosh et al.
  • 1DA-IICT, Gujarat 382 007, India
  • 2Ahmedabad University, Ahmedabad, Gujarat, India
  • 3Anand Agriculture University, Anand 388110, Gujarat , India

Keywords: Soil fertility, Soil testing, Hyperion, Hyperspectral, Spectral Feature Fitting (SFF), Pixel Purity Index (PPI), Correlogram

Abstract. Soil fertility characterised by nitrogen, phosphorus, potassium, calcium, magnesium and sulphur is traditionally measured from soil samples collected from the field. The process is very cumbersome and time intensive. Hyperspectral data available from Hyperion payload of EO 1 was used for facilitating preparation of soil fertility map of Udaipur district of Rajasthan state, India. Hyperion data was pre-processed for band and area sub setting, atmospheric correction and reflectance data preparation. Spectral analysis in the form of SFF and PPI were carried out for selecting the ground truth sites for soil sample collection. Soil samples collected from forty one sites were analysed for analysis of nutrient composition. Generation of correlogram followed by multiple regressions was done for identifying the most important bands and spectral parameters that can be used for nutrient map generation.