Outputs (98)

Characterising the Thematic Content of Image Pixels with Topologically Structured Clustering (2025)
Journal Article
Foody, G. M. (2025). Characterising the Thematic Content of Image Pixels with Topologically Structured Clustering. Remote Sensing, 17(1), Article 130. https://doi.org/10.3390/rs17010130

The location of a pixel in feature space is a function of its thematic composition. The latter is central to an image classification analysis, notably as an input (e.g., training data for a supervised classifier) and/or an output (e.g., predicted cla... Read More about Characterising the Thematic Content of Image Pixels with Topologically Structured Clustering.

The future of decent work: Forecasting heat stress and the intersection of sustainable development challenges in India's brick kilns (2024)
Journal Article
Boyd, D. S., Jackson, B., Sparks, J. D., Foody, G. M., Girindran, R., Gosling, S., Trodd, Z., Bhriain, L. H., & Rodriguez-Huerta, E. (2024). The future of decent work: Forecasting heat stress and the intersection of sustainable development challenges in India's brick kilns. Sustainable Development, https://doi.org/10.1002/sd.3272

The impacts of climate change-induced heat stress on workers are most prevalent in sectors with decent work deficits and this requires consideration for sustainable development. This paper focuses on the informal economy of brick kilns in India, a se... Read More about The future of decent work: Forecasting heat stress and the intersection of sustainable development challenges in India's brick kilns.

Spatial–Temporal Analysis of Greenness and Its Relationship with Poverty in China (2024)
Journal Article
Xie, W., Ge, Y., Hamm, N. A. S., Foody, G. M., & Ren, Z. (2024). Spatial–Temporal Analysis of Greenness and Its Relationship with Poverty in China. Remote Sensing, 16(21), Article 3938. https://doi.org/10.3390/rs16213938

Ecological environmental protection and poverty alleviation are of great significance for the study of human–land relationship coordination and sustainable development, and they have also been a focus of attention in China in the past few decades. In... Read More about Spatial–Temporal Analysis of Greenness and Its Relationship with Poverty in China.

Addressing multiple facets of bias and uncertainty in continental scale biodiversity databases (2024)
Journal Article
Marchetto, E., Livornese, M., Sabatini, F. M., Tordoni, E., Da Re, D., Lenoir, J., Testolin, R., Bacaro, G., Cazzolla Gatti, R., Chiarucci, A., Foody, G. M., Gábor, L., Groom, Q., Iaria, J., Malavasi, M., Moudrý, V., Santovito, D., Šímová, P., Zannini, P., & Rocchini, D. (2024). Addressing multiple facets of bias and uncertainty in continental scale biodiversity databases. Biodiversity Informatics, 18, https://doi.org/10.17161/bi.v18i.21810

The availability of biodiversity databases is expanding at unprecedented rates. Nevertheless, species occurrence data can be intrinsically biased and contain uncertainties that impact the accuracy and reliability of biodiversity estimates. In this st... Read More about Addressing multiple facets of bias and uncertainty in continental scale biodiversity databases.

Under the mantra: 'Make use of colorblind friendly graphs' (2024)
Journal Article
Rocchini, D., Chieffallo, L., Thouverai, E., D'Introno, R., Dagostin, F., Donini, E., Foody, G., Garnier, S., Mazzochini, G. G., Moudry, V., Rudis, B., Simova, P., Torresani, M., & Nowosad, J. (2024). Under the mantra: 'Make use of colorblind friendly graphs'. Environmetrics, 35(6), Article e2877. https://doi.org/10.1002/env.2877

Colorblindness is a genetic condition that affects a person's ability to accurately perceive colors. Several papers still exist making use of rainbow colors palette to show output. In such cases, for colorblind people such graphs are meaningless. In... Read More about Under the mantra: 'Make use of colorblind friendly graphs'.

Resolving data gaps in global surface water monthly records through a self-supervised deep learning strategy (2024)
Journal Article
Hao, Z., Cai, X., Ge, Y., Foody, G., Li, X., Yin, Z., Du, Y., & Ling, F. (2024). Resolving data gaps in global surface water monthly records through a self-supervised deep learning strategy. Journal of Hydrology, 640, Article 131673. https://doi.org/10.1016/j.jhydrol.2024.131673

The distribution of land surface water bodies is constantly changing. Monitoring these changes is critical for both humanity and the ecological system. The Joint Research Centre Global Surface Water (GSW) dataset is crucial in monitoring global water... Read More about Resolving data gaps in global surface water monthly records through a self-supervised deep learning strategy.

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.

Optical and radar Earth observation data for upscaling methane emissions linked to permafrost degradation in sub-Arctic peatlands in northern Sweden (2023)
Journal Article
Sjögersten, S., Ledger, M., Siewert, M., de la Barreda-Bautista, B., Sowter, A., Gee, D., Foody, G., & Boyd, D. S. (2023). Optical and radar Earth observation data for upscaling methane emissions linked to permafrost degradation in sub-Arctic peatlands in northern Sweden. Biogeosciences, 20(20), 4221-4239. https://doi.org/10.5194/bg-20-4221-2023

Permafrost thaw in Arctic regions is increasing methane (CH4) emissions into the atmosphere, but quantification of such emissions is difficult given the large and remote areas impacted. Hence, Earth observation (EO) data are critical for assessing pe... Read More about Optical and radar Earth observation data for upscaling methane emissions linked to permafrost degradation in sub-Arctic peatlands in northern Sweden.