Development of a transferrable hybrid retrieval model for mapping sweet potato chlorophyll at matured growth stage using ultra high-resolution UAV data

Tsele, Philemon; Ramoelo, Abel; Moleleki, Lucy; Laurie, Sunette; Mphela, Whelma; Tshuma, Natasha

doi:10.5194/isprs-annals-XI-3-2026-813-2026

Articles | Volume XI-3-2026

https://doi.org/10.5194/isprs-annals-XI-3-2026-813-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/isprs-annals-XI-3-2026-813-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume XI-3-2026

08 Jul 2026

| 08 Jul 2026

Development of a transferrable hybrid retrieval model for mapping sweet potato chlorophyll at matured growth stage using ultra high-resolution UAV data

Philemon Tsele, Abel Ramoelo, Lucy Moleleki, Sunette Laurie, Whelma Mphela, and Natasha Tshuma

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Evaluation of Machine Learning Methods for Estimation of Leaf Chlorophyll Content (LCC) Across 15 Soybean Cultivars During Early Reproductive Stage

Carli Kriek, Philemon Tsele, George Chirima, and Adolph Nyamugama

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., XI-3-2026, 731–739, https://doi.org/10.5194/isprs-annals-XI-3-2026-731-2026,https://doi.org/10.5194/isprs-annals-XI-3-2026-731-2026, 2026

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