We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Image-based vegetation analysis of desertified area by using a combination of ImageJ and Photoshop software.
- Authors
Tong, Jin; Wu, Longying; Li, Bin; Jiang, Nan; Huang, Jin; Wu, Di; Zhou, Lihong; Yang, Qingwen; Jiao, Yuan; Chen, Ji; Zhao, Ke; Pei, Xiangjun
- Abstract
Fractional vegetation cover (FVC) is a crucial indicator to estimate degradation and desertification for grasslands. However, traditional small-scale FVC analysis methods, such as visual estimation and point-sampling, are cumbersome and imprecise. Innovative methods like image-based FVC analysis methods, while accurate, face challenges such as complex analytical procedures and the necessary training for operations. Therefore, in this study, a combined application of ImageJ and Photoshop was employed to achieve a more effective analysis of FVC values in desertification areas. Our results showed that the FVC results obtained by combination of Photoshop and ImageJ were dependable and precise (R2 > 0.98), demonstrating equivalency to results obtained through either visual estimation or Photoshop-based methods. Furthermore, even in the face of background interference and varied shooting angles, the combination of ImageJ and Photoshop software was still able to maintain a low error rate when analyzing FVC values (average error rate = − 2.6%). In conclusion, the imaged-based combined FVC analysis method employed in our research was an effective, precise, and efficient technique for analyzing small-scale FVC, promising substantial improvement over conventional methods.
- Subjects
ERROR rates; GROUND vegetation cover; DESERTIFICATION; COMPUTER software; GRASSLANDS
- Publication
Environmental Monitoring & Assessment, 2024, Vol 196, Issue 3, p1
- ISSN
0167-6369
- Publication type
Article
- DOI
10.1007/s10661-024-12479-4