Abiotic Stress Detection using Hyperspectral Remote Sensing

Author: Jonali Goswami, K.K. Sarma, Ranjan Das and P.L.N. Raju

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Abstract

Abiotic stresses are one of the major factors affecting crop production in many parts of the India. The need of the hour is to minimize the yield losses due to these abiotic stresses. Early detection can help to reduce the impact of stresses on crop growth and yield. The recent developments in hyperspectral remote sensing hold a major key in early detection of abiotic stress over a larger area with less involvement of cost, time and labour. The works relevant to abiotic stress characterization particularly nitrogen stress based on plant spectral reflectance are dealt in this paper. It was observed from the spectral data analysis that the stress indicating parameter such as Leaf area index, chlorophyll, photosynthesis can be precisely estimated using proximal hyperspectral remote sensing approach. The research work done also elucidates that hyperspectral techniques can lead to the development of real-time management of nutrient stress, thereby reducing the yield losses due these stress

Keywords

Abiotic stress, Nitrogen, Hyperspectral Remote Sensing, Speroradiomcteter

Conclusion

Recent advances in Hyperspectral remote sensing demonstrate great utility for a variety of crop stress detection. However, any stresses interfere with photosynthesis and physical structure of the plants and affect absorption of light energy and reflectance spectrum of plants, hyperspectral remote sensing was effectively used in identifying different stresses. However, as we know, remote sensing is not a standalone system, it has to be validated through proper ground truth and integrated with other collateral information for facilitating decision support.

References

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How to cite this article

Goswami, Jonali; Sarma, K.K.; Das, Ranjan and Raju, P.L.N. (2019). Abiotic Stress Detection using Hyperspectral Remote Sensing. Biological Forum – An International Journal, 11(1): 131-136.