All Outputs (107)

Global and Local Assessment of Image Classification Quality on an Overall and Per-Class Basis without Ground Reference Data (2022)
Journal Article
Foody, G. M. (2022). Global and Local Assessment of Image Classification Quality on an Overall and Per-Class Basis without Ground Reference Data. Remote Sensing, 14(21), Article 5380. https://doi.org/10.3390/rs14215380

Ground reference data are typically required to evaluate the quality of a supervised image classification analysis used to produce a thematic map from remotely sensed data. Acquiring a suitable ground data set for a rigorous assessment of classificat... Read More about Global and Local Assessment of Image Classification Quality on an Overall and Per-Class Basis without Ground Reference Data.

Double down on remote sensing for biodiversity estimation: a biological mindset (2022)
Journal Article
Rocchini, D., Torresani, M., Beierkuhnlein, C., Feoli, E., Foody, G. M., Lenoir, J., Malavasi, M., Moudrý, V., Šímová, P., & Ricotta, C. (2022). Double down on remote sensing for biodiversity estimation: a biological mindset. Community Ecology, https://doi.org/10.1007/s42974-022-00113-7

In the light of unprecedented planetary changes in biodiversity, real-time and accurate ecosystem and biodiversity assessments are becoming increasingly essential for informing policy and sustainable development. Biodiversity monitoring is a challeng... Read More about Double down on remote sensing for biodiversity estimation: a biological mindset.

The spectral species concept in living color (2022)
Journal Article
Rocchini, D., Santos, M. J., Ustin, S. L., Féret, J. B., Asner, G. P., Beierkuhnlein, C., Dalponte, M., Feilhauer, H., Foody, G. M., Geller, G. N., Gillespie, T. W., He, K. S., Kleijn, D., Leitão, P. J., Malavasi, M., Moudrý, V., Müllerová, J., Nagendra, H., Normand, S., Ricotta, C., …Lenoir, J. (2022). The spectral species concept in living color. Journal of Geophysical Research: Biogeosciences, 127(9), Article e2022JG007026. https://doi.org/10.1029/2022JG007026

Biodiversity monitoring is an almost inconceivable challenge at the scale of the entire Earth. The current (and soon to be flown) generation of spaceborne and airborne optical sensors (i.e., imaging spectrometers) can collect detailed information at... Read More about The spectral species concept in living color.

Assuring the quality of VGI on land use and land cover: experiences and learnings from the LandSense project (2022)
Journal Article
Foody, G., Long, G., Schultz, M., & Olteanu-Raimond, A.-M. (2022). Assuring the quality of VGI on land use and land cover: experiences and learnings from the LandSense project. Geo-Spatial Information Science, 27(1), 16-37. https://doi.org/10.1080/10095020.2022.2100285

The potential of citizens as a source of geographical information has been recognized for many years. Such activity has grown recently due to the proliferation of inexpensive location aware devices and an ability to share data over the internet. Rece... Read More about Assuring the quality of VGI on land use and land cover: experiences and learnings from the LandSense project.

Citizen science for Earth Observation (Citzens4EO): understanding current use in the UK (2022)
Journal Article
Boyd, D. S., Foody, G. M., Brown, C., Mazumdar, S., Marshall, H., & Wardlaw, J. (2022). Citizen science for Earth Observation (Citzens4EO): understanding current use in the UK. International Journal of Remote Sensing, 43(8), 2965-2985. https://doi.org/10.1080/01431161.2022.2076574

The role of Earth observation (EO) data in addressing societal problems from environmental through to humanitarian should not be understated. Recent innovation in EO means provision of analysis ready data and data cubes, which allows for rapid use of... Read More about Citizen science for Earth Observation (Citzens4EO): understanding current use in the UK.

Making (remote) sense of lianas (2022)
Journal Article
van der Heijden, G. M., Proctor, A. D., Calders, K., Chandler, C., Field, R., Foody, G. M., Krishna Moorthy, S. M., Schnitzer, S., Waite, C., & Boyd, D. S. (2022). Making (remote) sense of lianas. Journal of Ecology, 110(3), 498-513. https://doi.org/10.1111/1365-2745.13844

Lianas (woody vines) are abundant and diverse, particularly in tropical ecosystems. Lianas use trees for structural support to reach the forest canopy, often putting leaves above their host tree. Thus they are major parts of many forest canopies. Yet... Read More about Making (remote) sense of lianas.

Monitoring high spatiotemporal water dynamics by fusing MODIS, Landsat, water occurrence data and DEM (2021)
Journal Article
Li, X., Ling, F., Foody, G. M., Boyd, D. S., Jiang, L., Zhang, Y., Zhou, P., Wang, Y., Chen, R., & Du, Y. (2021). Monitoring high spatiotemporal water dynamics by fusing MODIS, Landsat, water occurrence data and DEM. Remote Sensing of Environment, 265, Article 112680. https://doi.org/10.1016/j.rse.2021.112680

Monitoring the spatiotemporal dynamics of surface water from remote sensing imagery is essential for understanding water's impact on the global ecosystem and climate change. There is often a tradeoff between the spatial and temporal resolutions of im... Read More about Monitoring high spatiotemporal water dynamics by fusing MODIS, Landsat, water occurrence data and DEM.

Detection of spatial and temporal patterns of liana infestation using satellite-derived imagery (2021)
Journal Article
Chandler, C. J., van der Heijden, G. M., Boyd, D. S., & Foody, G. M. (2021). Detection of spatial and temporal patterns of liana infestation using satellite-derived imagery. Remote Sensing, 13(14), 1-15. https://doi.org/10.3390/rs13142774

Lianas (woody vines) play a key role in tropical forest dynamics because of their strong influence on tree growth, mortality and regeneration. Assessing liana infestation over large areas is critical to understand the factors that drive their spatial... Read More about Detection of spatial and temporal patterns of liana infestation using satellite-derived imagery.

Informing action for United Nations SDG target 8.7 and interdependent SDGs: Examining modern slavery from space (2021)
Journal Article
Boyd, D. S., Perrat, B., Li, X., Jackson, B., Landman, T., Ling, F., Bales, K., Choi-Fitzpatrick, A., Goulding, J., Marsh, S., & Foody, G. M. (2021). Informing action for United Nations SDG target 8.7 and interdependent SDGs: Examining modern slavery from space. Humanities and Social Sciences Communications, 8, Article 111. https://doi.org/10.1057/s41599-021-00792-z

This article provides an example of the ways in which remote sensing, Earth observation, and machine learning can be deployed to provide the most up to date quantitative portrait of the South Asian ‘Brick Belt’, with a view to understanding the exten... Read More about Informing action for United Nations SDG target 8.7 and interdependent SDGs: Examining modern slavery from space.

Tracking small-scale tropical forest disturbances: Fusing the Landsat and Sentinel-2 data record (2021)
Journal Article
Zhang, Y., Ling, F., Wang, X., Foody, G. M., Boyd, D. S., Li, X., Du, Y., & Atkinson, P. M. (2021). Tracking small-scale tropical forest disturbances: Fusing the Landsat and Sentinel-2 data record. Remote Sensing of Environment, 261, Article 112470. https://doi.org/10.1016/j.rse.2021.112470

Information on forest disturbance is crucial for tropical forest management and global carbon cycle analysis. The long-term collection of data from the Landsat missions provides some of the most valuable information for understanding the processes of... Read More about Tracking small-scale tropical forest disturbances: Fusing the Landsat and Sentinel-2 data record.

rasterdiv—An Information Theory tailored R package for measuring ecosystem heterogeneity from space: To the origin and back (2021)
Journal Article
Rocchini, D., Thouverai, E., Marcantonio, M., Iannacito, M., Da Re, D., Torresani, M., Bacaro, G., Bazzichetto, M., Bernardi, A., Foody, G. M., Furrer, R., Kleijn, D., Larsen, S., Lenoir, J., Malavasi, M., Marchetto, E., Messori, F., Montaghi, A., Moudrý, V., Naimi, B., …Wegmann, M. (2021). rasterdiv—An Information Theory tailored R package for measuring ecosystem heterogeneity from space: To the origin and back. Methods in Ecology and Evolution, 12(6), 1093-1102. https://doi.org/10.1111/2041-210X.13583

Ecosystem heterogeneity has been widely recognized as a key ecological indicator of several ecological functions, diversity patterns and change, metapopulation dynamics, population connectivity or gene flow. In this paper, we present a new R package—... Read More about rasterdiv—An Information Theory tailored R package for measuring ecosystem heterogeneity from space: To the origin and back.

Impacts of ignorance on the accuracy of image classification and thematic mapping (2021)
Journal Article
Foody, G. M. (2021). Impacts of ignorance on the accuracy of image classification and thematic mapping. Remote Sensing of Environment, 259, Article 112367. https://doi.org/10.1016/j.rse.2021.112367

Thematic maps are often derived from remotely sensed imagery via a supervised image classification analysis. The training and testing stages of a supervised image classification may proceed ignorant of the presence of some classes in the region to be... Read More about Impacts of ignorance on the accuracy of image classification and thematic mapping.

Remote sensing liana infestation in an aseasonal tropical forest: addressing mismatch in spatial units of analyses (2021)
Journal Article
Chandler, C. J., van der Heijden, G. M. F., Boyd, D. S., Cutler, M. E. J., Costa, H., Nilus, R., & Foody, G. M. (2021). Remote sensing liana infestation in an aseasonal tropical forest: addressing mismatch in spatial units of analyses. Remote Sensing in Ecology and Conservation, 7(3), 397-410. https://doi.org/10.1002/rse2.197

The ability to accurately assess liana (woody vine) infestation at the landscape level is essential to quantify their impact on carbon dynamics and help inform targeted forest management and conservation action. Remote sensing techniques provide pote... Read More about Remote sensing liana infestation in an aseasonal tropical forest: addressing mismatch in spatial units of analyses.

Scrutinizing relationships between submarine groundwater discharge and upstream areas using thermal remote sensing: A case study in the northern Persian gulf (2021)
Journal Article
Samani, A. N., Farzin, M., Rahmati, O., Feiznia, S., Kazemi, G. A., Foody, G., & Melesse, A. M. (2021). Scrutinizing relationships between submarine groundwater discharge and upstream areas using thermal remote sensing: A case study in the northern Persian gulf. Remote Sensing, 13(3), Article 358. https://doi.org/10.3390/rs13030358

© 2021 by the authors. Licensee MDPI, Basel, Switzerland. Nutrient input through submarine groundwater discharge (SGD) often plays a significant role in primary productivity and nutrient cycling in the coastal areas. Understanding relationships betwe... Read More about Scrutinizing relationships between submarine groundwater discharge and upstream areas using thermal remote sensing: A case study in the northern Persian gulf.

Comparison of simple averaging and latent class modeling to estimate the area of land cover in the presence of reference data variability (2021)
Journal Article
Xing, D., Stehman, S. V., Foody, G. M., & Pengra, B. W. (2021). Comparison of simple averaging and latent class modeling to estimate the area of land cover in the presence of reference data variability. Land, 10(1), Article 35. https://doi.org/10.3390/land10010035

© 2021 by the authors. Licensee MDPI, Basel, Switzerland. Estimates of the area or percent area of the land cover classes within a study region are often based on the reference land cover class labels assigned by analysts interpreting satellite image... Read More about Comparison of simple averaging and latent class modeling to estimate the area of land cover in the presence of reference data variability.

Object-Based Area-to-Point Regression Kriging for Pansharpening (2020)
Journal Article
Zhang, Y., Atkinson, P. M., Ling, F., Foody, G. M., Wang, Q., Ge, Y., Li, X., & Du, Y. (2021). Object-Based Area-to-Point Regression Kriging for Pansharpening. IEEE Transactions on Geoscience and Remote Sensing, 59(10), 8599-8614. https://doi.org/10.1109/TGRS.2020.3041724

IEEE Optical earth observation satellite sensors often provide a coarse spatial resolution (CR) multispectral (MS) image together with a fine spatial resolution (FR) panchromatic (PAN) image. Pansharpening is a technique applied to such satellite sen... Read More about Object-Based Area-to-Point Regression Kriging for Pansharpening.

Let your maps be fuzzy!—Class probabilities and floristic gradients as alternatives to crisp mapping for remote sensing of vegetation (2020)
Journal Article
Feilhauer, H., Zlinszky, A., Kania, A., Foody, G. M., Doktor, D., Lausch, A., & Schmidtlein, S. (2020). Let your maps be fuzzy!—Class probabilities and floristic gradients as alternatives to crisp mapping for remote sensing of vegetation. Remote Sensing in Ecology and Conservation, https://doi.org/10.1002/rse2.188

© 2020 The Authors. Remote Sensing in Ecology and Conservation published by John Wiley & Sons Ltd on behalf of Zoological Society of London. Mapping vegetation as hard classes based on remote sensing data is a frequently applied approach, even thou... Read More about Let your maps be fuzzy!—Class probabilities and floristic gradients as alternatives to crisp mapping for remote sensing of vegetation.

Investigating the potential of radar interferometry for monitoring rural artisanal cobalt mines in the democratic republic of the congo (2020)
Journal Article
Brown, C., Daniels, A., Boyd, D. S., Sowter, A., Foody, G., & Kara, S. (2020). Investigating the potential of radar interferometry for monitoring rural artisanal cobalt mines in the democratic republic of the congo. Sustainability, 12(23), Article 9834. https://doi.org/10.3390/su12239834

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. Greater awareness of the serious human rights abuses associated with the extraction and trade of cobalt in the Democratic Republic of the Congo (DRC) has applied increasing pressure for busine... Read More about Investigating the potential of radar interferometry for monitoring rural artisanal cobalt mines in the democratic republic of the congo.

Cloud detection in Landsat-8 imagery in Google Earth Engine based on a deep convolutional neural network (2020)
Journal Article
Yin, Z., Ling, F., Foody, G. M., Li, X., & Du, Y. (2020). Cloud detection in Landsat-8 imagery in Google Earth Engine based on a deep convolutional neural network. Remote Sensing Letters, 11(12), 1181-1190. https://doi.org/10.1080/2150704X.2020.1833096

© 2020 Informa UK Limited, trading as Taylor & Francis Group. Google Earth Engine (GEE) provides a convenient platform for applications based on optical satellite imagery of large areas. With such data sets, the detection of cloud is often a necess... Read More about Cloud detection in Landsat-8 imagery in Google Earth Engine based on a deep convolutional neural network.

Remote sensing of fish-processing in the Sundarbans Reserve Forest, Bangladesh: an insight into the modern slavery-environment nexus in the coastal fringe (2020)
Journal Article
Jackson, B., Boyd, D. S., Ives, C. D., Decker Sparks, J. L., Foody, G. M., Marsh, S., & Bales, K. (2020). Remote sensing of fish-processing in the Sundarbans Reserve Forest, Bangladesh: an insight into the modern slavery-environment nexus in the coastal fringe. Maritime Studies, 19(4), 429–444. https://doi.org/10.1007/s40152-020-00199-7

© 2020, The Author(s). Land-based fish-processing activities in coastal fringe areas and their social-ecological impacts have often been overlooked by marine scientists and antislavery groups. Using remote sensing methods, the location and impacts of... Read More about Remote sensing of fish-processing in the Sundarbans Reserve Forest, Bangladesh: an insight into the modern slavery-environment nexus in the coastal fringe.