Land Cover Change Detection from Remotely Sensed IoT Data for Assessment of Land Degradation: A Survey

Rohini Selvaraj and Suresh Kumar Nagarajan ()
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Rohini Selvaraj: Department of Information Security, School of Computer Science and Engineering, Vellore Institute of Technology (VIT), Vellore 632014, Tamil Nadu, India
Suresh Kumar Nagarajan: Department of Information Security, School of Computer Science and Engineering, Vellore Institute of Technology (VIT), Vellore 632014, Tamil Nadu, India

Journal of Information & Knowledge Management (JIKM), 2021, vol. 20, issue supp01, 1-10

Abstract: As the contamination over the surface of the earth is increasing exponentially, the land cover and land use detection techniques are considered as important elements in mapping and monitoring the land degradation. Remote sensing plays a vital role in identifying the land changes over the period of time. As land degradation occurs, resource demand will increase and reliable service to achieve land neutrality will increase. Connected device (IoT) could be used to achieve this neutrality in an intelligent and effective manner. Innumerable change detection methods have been developed for as far back as five decades. These studies deal in detail about the different satellite imagery data, image preprocessing techniques and the discussion of pixel-based and object-based change detection techniques. In addition, the dataset, preprocessing and change detection technique are interrelated with each other and their connection between the techniques are clarified dependent on the element of image analysis. The merits and limitation of different methods are also explained in detail.

Keywords: Change detection; object-based; pixel-based; hybrid change detection; remote sensing; IoT; environmental monitoring (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1142/S0219649221400116

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