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Forest Health Monitoring using Hyperspectral Remote Sensing Techniques

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Spatial Modeling in Forest Resources Management

Part of the book series: Environmental Science and Engineering ((ESE))

Abstract

Hyperspectral Remote sensing is a handy tool for forest health monitoring. This study focuses on forest health monitoring using hyperspectral satellite data and validates it with tree spectral data. In the study area, increasing mining and anthropogenic activities within and near forest lands have caused threats to forest health. All these necessitate assessing the forest health in the areas surrounding mines. We have used two methods for the forest health assessment: one is VIs (vegetation indices) based model, and another is tree spectral analysis. The supervised classification (SAM) method was used for forest health classification based on spectral data. The results showed that a healthy forest portion was located in the hilly side of the study area while an unhealthy segment was situated alongside the mines. Hyperion data-based VIs model shows better accuracy than spectral based other methods. Also, it was found that the hyperspectral data based forest health classification gave a higher accuracy than multispectral data. Finally, forest health results were justified by ground tree spectral data. This work provides an effective guideline for forest planning and management.

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Authors and Affiliations

  1. Department of Mining Engineering, Indian Institute of Technology, Kharagpur, India

    Narayan Kayet

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  1. Narayan Kayet
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Correspondence to Narayan Kayet .

Editor information

Editors and Affiliations

  1. PG Department of Geography, Raja Narendra Lal Khan Women’s College (Autonomous), Vidyasagar University, Midnapore, West Bengal, India

    Pravat Kumar Shit

  2. Department of Natural Resources and Environmental Engineering, College of Agriculture, Shiraz University, Shiraz, Iran

    Hamid Reza Pourghasemi

  3. Department of Remote Sensing & GIS, Vidyasagar University, Midnapore, West Bengal, India

    Pulakesh Das

  4. TPF Getinsa Euroestudios S.l, Gurgaon, Haryana, India

    Gouri Sankar Bhunia

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Kayet, N. (2021). Forest Health Monitoring using Hyperspectral Remote Sensing Techniques. In: Shit, P.K., Pourghasemi, H.R., Das, P., Bhunia, G.S. (eds) Spatial Modeling in Forest Resources Management . Environmental Science and Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-56542-8_10

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