Building a soil spectral library for Tajikistan comparing local and global modeling approaches

Hergarten, Christian; Nazarmavloev, Farrukh; Wolfgramm, Bettina (2013). Building a soil spectral library for Tajikistan comparing local and global modeling approaches. Bornimer Agrartechnische Berichte, 82, pp. 265-269.

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Over the last ~20 years, soil spectral libraries storing near-infrared reflectance (NIR) spectra from diverse soil samples have been built for many places, since almost 10 years also for Tajikistan. Many calibration approaches have been reported and used for prediction from large and heterogeneous libraries, but most are hampered by the high diversity of the soils, where the mineral background is heavily influencing spectral features. In such cases, local learning strategies have the advantage of building locally adapted calibrations, which can deal better with nonlinearities. Therefore, it was our major aim to identify the most efficient approach to develop an accurate and stable locally weigthed calibration model using a spectral library compiled over the past years. Keywords: Tajikistan, Near-Infrared spectroscopy (NIRS), soil organic carbon, locally weighted regression, regional and local spectral library.

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

08 Faculty of Science > Institute of Geography > Integrative Geography > Unit Sustainable Land Management
08 Faculty of Science > Institute of Geography > NCCR North-South Management Centre (discontinued)
10 Strategic Research Centers > Centre for Development and Environment (CDE)

UniBE Contributor:

Hergarten, Christian and Wolfgramm, Bettina

Subjects:

300 Social sciences, sociology & anthropology > 330 Economics

ISSN:

0947-7314

Submitter:

Users 124 not found.

Date Deposited:

08 Aug 2014 11:00

Last Modified:

05 Nov 2015 10:48

Uncontrolled Keywords:

Tajikistan, Near-Infrared spectroscopy (NIRS), soil organic carbon, locally weighted regression, regional and local spectral library

BORIS DOI:

10.7892/boris.46525

URI:

https://boris.unibe.ch/id/eprint/46525

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