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Research Article Open access CC BY 4.0

Can Soil Spectroscopy be a Strong Alternative to the Conventional Methods of Analysis?

Altaf Kuntoji, K S Somashekar, Shreya S Hanji, C. N. Nalina, Bhavya, V, Sumanth Kumar, G.V., Mridul Chetia, Tripta Verma

International Journal of Plant & Soil Science · pp. 755–770 · Published 23 Sep 2024

10.9734/ijpss/2024/v36i95025

Abstract

Soil is considered as the source of life on the globe. Although, numerous research studies, the soil is not completely understood whereas it is dynamic complex matrix include many simultaneous processes. The conventional methods of soil testing are the most reliable for assessing the land productivity and management. Unfortunately, these methods are time consuming and laborious as well as costly and hazardous to the environment. Therefore, the soil spectroscopy technique provides the functions of detecting, characterizing, quantifying and mapping several soil properties based on the uses of different kinds of the sensors (ground-based, airborne-based, and satellite-based). An integration of soil spectroscopic data, data processing, and modelling is considered as an effective tool for estimating soil parameters. Although these advanced techniques able to predict the majority of soil properties, there are some of these properties require more experiments for building accurate calibration models for estimation. Moreover, creating accurate soil spectral libraries (SSLs) for specific areas or soil types is very crucial for saving time, effort, expenses of soil surveying, sampling, and analysis. The application of these SSLs has a big limitation of the continuous variability of the soil properties over time. Thus, establishing extensive spectral libraries is important and mandatory for covering the small scaled areas’ variabilities as well as available soil types. Till now, the soil spectroscopy is not entirely replacing the conventional testing methods of soils because these techniques need future applications to be trusted and guaranteed of their effectiveness.

Remote sensing spectroscopy soil prediction soil analysis

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