Abstract:The world faces two interlinked crises: climate change and loss of biodiversity. Forest restoration on degraded lands and surplus croplands can play a significant role both in sequestering carbon and re-establishing bio-diversity. There is a considerable body of research and practice that addresses forest restoration. However, there has been little work by computer scientists to bring powerful computational techniques to bear on this important area of work, perhaps due to a lack of awareness. In an attempt to bridge this gap, we present our vision of how techniques from computer science, broadly speaking, can aid current practice in forest restoration.
| Comments: | 9 pages |
| Subjects: | Computers and Society (cs.CY); Computer Vision and Pattern Recognition (cs.CV) |
| Cite as: | arXiv:2109.07898 [cs.CY] |
| (or arXiv:2109.07898v1 [cs.CY] for this version) | |
| https://doi.org/10.48550/arXiv.2109.07898 arXiv-issued DOI via DataCite |
Submission history
From: Srinivasan Keshav [view email]
[v1]
Thu, 12 Aug 2021 16:29:49 UTC (251 KB)