Soil content prediction from satellite image data is an emerging research field as it can handle vast land areas non-invasively. However, this approach faces challenges due to the moisture and soil/vegetation patterns, as the hyperspectral reflections are varied due to those phenomena, although the soil content may be the same. To handle this, soil and vegetation indices are already proposed; however, there are no explicit indices to handle dry soil and dry vegetation. The existing soil index cannot separate dry soil from moist soil; on the other hand, the existing vegetation index cannot separate dead vegetation from bare soil. This paper, to the best of our knowledge, is the first to introduce dry soil index (DSI) and dry vegetation index (DVI) by considering the hyperspectral reflection variations and different moisture levels. Unlike the existing indices, the proposed indices use non-visual range bands in the formulations due to the greater reflection variations. This study uses the publicly available Land Use and Coverage Area Body Survey (LUCAS) 2018 dataset and corresponding Landsat 8 satellite images. We have used a number of learning-based models to analyze the performance, and we use DVI and DSI as features for predicting three soil contents (i.e., organic carbon, calcium carbonate, and nitrogen). Experimental results show that DVI and DSI are essential in filtering bare soil to improve soil content prediction performance.

Original languageEnglish
Title of host publication2023 International Conference on Digital Image Computing
Subtitle of host publicationTechniques and Applications, DICTA 2023
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages8
ISBN (Electronic)9798350382204
ISBN (Print)9798350382211
Publication statusPublished - 2023
EventThe International Conference on Digital Image Computing: Techniques and Applications: DICTA 2023 - Sails Port Macquarie, Port Macquarie, Australia
Duration: 28 Nov 202301 Dec 2023
https://www.dictaconference.org/?page_id=2623 (Conference program)

Publication series

Name2023 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2023


ConferenceThe International Conference on Digital Image Computing: Techniques and Applications
CityPort Macquarie
OtherDigital Image Computing: Techniques and Applications (DICTA) is the main Australian Conference on computer vision, image processing, pattern recognition, and related areas. DICTA was established in 1991 as the premier conference of the Australian Pattern Recognition Society (APRS).
DICTA provides a forum for researchers, engineers, and practitioners to present their latest findings and innovations in these areas, as well as to exchange ideas and discuss emerging trends and challenges in the field. The conference covers a wide range of topics, including image and video processing, machine learning, pattern recognition, and computer graphics, among others.​
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