Published on: April 2026
INTELLIGENT DEFORESTATION & LAND DEGRADATION MONITORING USING COMPUTER VISION AND DEEP LEARNING
Thakur Prachi Singh Chowhan Gundagani Shiva Sai Ram Jinikuntla Nandini Goud Yata Samith Jayanth
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Abstract
Urges a great deal about the conservation, regeneration and sustainable use of land, forests and ecosystems Biodiversity.
We are seeing a lot of things happening to the earth like deforestation. People are using land in ways that are not allowed. Animals are losing their homes.
It is hard to keep things for the earth and save the wildlife. We need to take care of the wildlife and the earth at the time that is the wildlife and the earth.
The current land monitoring techniques are mostly done manually they need a lot of resources. They only cover a small area.
How to Cite this Paper
Chowhan, T. P. S., Ram, G. S. S., Goud, J. N. & Jayanth, Y. S. (2026). Intelligent Deforestation & Land Degradation Monitoring using Computer Vision and Deep Learning. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.526
Chowhan, Thakur, et al.. "Intelligent Deforestation & Land Degradation Monitoring using Computer Vision and Deep Learning." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.526.
Chowhan, Thakur,Gundagani Ram,Jinikuntla Goud, and Yata Jayanth. "Intelligent Deforestation & Land Degradation Monitoring using Computer Vision and Deep Learning." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.526.
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References
[1]Torres, D. L., et al. (2021). Deforestation detection using FCNs.[2] Hansen, M. C., et al. (2013). Global forest change.[3] Achard, F., et al. (2014). NDVI-based monitoring.
[4] Pal, M., & Mather, P. (2005). SVM classification.
[5] Belgiu, M., & Drăguț, L. (2016). Random Forest.
[6] Ma, L., et al. (2019). CNN in remote sensing.
[7] Zhang, Y., et al. (2020). Change detection models.
[8] Li, X., et al. (2021). U-Net segmentation.
[9] Ronneberger, O., et al. (2015). U-Net architecture.
[10] Long, J., et al. (2015). Fully Convolutional Networks.
[11] Simonyan, K., & Zisserman, A. (2014). CNN models.
[12] Krizhevsky, A., et al. (2012). Deep learning.
[13] Goodfellow, I., et al. (2016). Deep Learning book.
[14] NASA Landsat Data Documentation.
[15] ESA Sentinel Data Documentation.
[16] INPE PRODES Project Reports.
[17] DETER Monitoring System Reports.
[18] OpenCV Documentation.
[19] TensorFlow Documentation.
[20] Recent AI-based studies (2022–2024).
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- •Published on: Apr 20 2026
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