SOIL FERTILITY EVALUATION FOR FERTILISER RECOMMENDATION USING HYPERION DATA

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 facilitatin...

Full description

Bibliographic Details
Main Authors: Ranendu Ghosh, N. Padmanabhan, K. C. Patel
Format: Article
Language:English
Published: Copernicus Publications 2015-12-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W5/241/2015/isprsarchives-XL-1-W5-241-2015.pdf
id doaj-08172086391d46968a2caafbcf4fc094
record_format Article
spelling doaj-08172086391d46968a2caafbcf4fc0942020-11-24T23:23:06ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342015-12-01XL-1-W524124710.5194/isprsarchives-XL-1-W5-241-2015SOIL FERTILITY EVALUATION FOR FERTILISER RECOMMENDATION USING HYPERION DATARanendu Ghosh0N. Padmanabhan1K. C. Patel2DA-IICT, Gujarat 382 007, IndiaAhmedabad University, Ahmedabad, Gujarat, IndiaAnand Agriculture University, Anand 388110, Gujarat , IndiaSoil 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.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W5/241/2015/isprsarchives-XL-1-W5-241-2015.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Ranendu Ghosh
N. Padmanabhan
K. C. Patel
spellingShingle Ranendu Ghosh
N. Padmanabhan
K. C. Patel
SOIL FERTILITY EVALUATION FOR FERTILISER RECOMMENDATION USING HYPERION DATA
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet Ranendu Ghosh
N. Padmanabhan
K. C. Patel
author_sort Ranendu Ghosh
title SOIL FERTILITY EVALUATION FOR FERTILISER RECOMMENDATION USING HYPERION DATA
title_short SOIL FERTILITY EVALUATION FOR FERTILISER RECOMMENDATION USING HYPERION DATA
title_full SOIL FERTILITY EVALUATION FOR FERTILISER RECOMMENDATION USING HYPERION DATA
title_fullStr SOIL FERTILITY EVALUATION FOR FERTILISER RECOMMENDATION USING HYPERION DATA
title_full_unstemmed SOIL FERTILITY EVALUATION FOR FERTILISER RECOMMENDATION USING HYPERION DATA
title_sort soil fertility evaluation for fertiliser recommendation using hyperion data
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2015-12-01
description 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.
url http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W5/241/2015/isprsarchives-XL-1-W5-241-2015.pdf
work_keys_str_mv AT ranendughosh soilfertilityevaluationforfertiliserrecommendationusinghyperiondata
AT npadmanabhan soilfertilityevaluationforfertiliserrecommendationusinghyperiondata
AT kcpatel soilfertilityevaluationforfertiliserrecommendationusinghyperiondata
_version_ 1725565395727810560