All Outputs (4)

Reviewing the Spectral Variation Hypothesis: Twenty years in the tumultuous sea of biodiversity estimation by remote sensing (2024)
Journal Article
Torresani, M., Rossi, C., Perrone, M., Hauser, L. T., Féret, J.-B., Moudrý, V., Simova, P., Ricotta, C., Foody, G. M., Kacic, P., Feilhauer, H., Malavasi, M., Tognetti, R., & Rocchini, D. (2024). Reviewing the Spectral Variation Hypothesis: Twenty years in the tumultuous sea of biodiversity estimation by remote sensing. Ecological Informatics, 82, Article 102702. https://doi.org/10.1016/j.ecoinf.2024.102702

Twenty years ago, the Spectral Variation Hypothesis (SVH) was formulated as a means to link between different aspects of biodiversity and spatial patterns of spectral data (e.g. reflectance) measured from optical remote sensing. This hypothesis initi... Read More about Reviewing the Spectral Variation Hypothesis: Twenty years in the tumultuous sea of biodiversity estimation by remote sensing.

DeepWaterFraction: A globally applicable, self-training deep learning approach for percent surface water area estimation from Landsat mission imagery (2024)
Journal Article
Hao, Z., Foody, G., Ge, Y., Cai, X., Du, Y., & Ling, F. (2024). DeepWaterFraction: A globally applicable, self-training deep learning approach for percent surface water area estimation from Landsat mission imagery. Journal of Hydrology, 638, Article 131512. https://doi.org/10.1016/j.jhydrol.2024.131512

Surface water area estimation is essential for understanding global environmental dynamics, yet it presents significant challenges, particularly when dealing with small water bodies like ponds and narrow width rivers. Surface water areas for these sm... Read More about DeepWaterFraction: A globally applicable, self-training deep learning approach for percent surface water area estimation from Landsat mission imagery.

The effects of extreme heat on human health in tropical Africa (2024)
Journal Article
Kunda, J. J., Gosling, S. N., & Foody, G. M. (2024). The effects of extreme heat on human health in tropical Africa. International Journal of Biometeorology, 68, 1015-1033. https://doi.org/10.1007/s00484-024-02650-4

This review examines high-quality research evidence that synthesises the effects of extreme heat on human health in tropical Africa. Web of Science (WoS) was used to identify research articles on the effects extreme heat, humidity, Wet-bulb Globe Tem... Read More about The effects of extreme heat on human health in tropical Africa.

Ground Truth in Classification Accuracy Assessment: Myth and Reality (2024)
Journal Article
Foody, G. M. (2024). Ground Truth in Classification Accuracy Assessment: Myth and Reality. Geomatics, 4(1), 81-90. https://doi.org/10.3390/geomatics4010005

The ground reference dataset used in the assessment of classification accuracy is typically assumed implicitly to be perfect (i.e., 100% correct and representing ground truth). Rarely is this assumption valid, and errors in the ground dataset can cau... Read More about Ground Truth in Classification Accuracy Assessment: Myth and Reality.