Abstract
This paper presents an open-source framework for the analysis of close-range multispectral images with resolutions higher than 15 cm/pix. The proposed multispectral analysis methodology was applied to a 45 Ha banana farm located in Siquirres, Costa Rica, where 24 experimental circular plots with a diameter of 15 m were studied. Correlation coefficients ranging from -0.76 to -0.99 were obtained, linking vegetation indices (VIs) and vegetative/productive variables such as number of bunches, flowers, and bunch weight, over three-time intervals along an observation period of about one year.
| Original language | English |
|---|---|
| Pages (from-to) | 3470-3473 |
| Number of pages | 4 |
| Journal | International Geoscience and Remote Sensing Symposium (IGARSS) |
| DOIs | |
| State | Published - 2023 |
| Event | 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023 - Pasadena, United States Duration: 16 Jul 2023 → 21 Jul 2023 |
Keywords
- Banana Crops
- Geospatial Analysis
- Multispectral Imagery
- Multispectral Sensors
- UAS Photogrammetry
Fingerprint
Dive into the research topics of 'OPEN-SOURCE FRAMEWORK FOR CLOSE-RANGE MULTISPECTRAL IMAGERY ANALYSIS APPLIED TO BANANA CROPS IN COSTA RICA'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver