Outputs (98)

Use of automated change detection and VGI sources for identifying and validating urban land use change (2020)
Journal Article
Olteanu-Raimond, A. M., See, L., Schultz, M., Foody, G., Riffler, M., Gasber, T., Jolivet, L., le Bris, A., Meneroux, Y., Liu, L., Poupée, M., & Gombert, M. (2020). Use of automated change detection and VGI sources for identifying and validating urban land use change. Remote Sensing, 12(7), Article 1186. https://doi.org/10.3390/rs12071186

© 2020, by the authors. Land use and land cover (LULC) mapping is often undertaken by national mapping agencies, where these LULC products are used for different types of monitoring and reporting applications. Updating of LULC databases is often done... Read More about Use of automated change detection and VGI sources for identifying and validating urban land use change.

Explaining the unsuitability of the kappa coefficient in the assessment and comparison of the accuracy of thematic maps obtained by image classification (2020)
Journal Article
Foody, G. M. (2020). Explaining the unsuitability of the kappa coefficient in the assessment and comparison of the accuracy of thematic maps obtained by image classification. Remote Sensing of Environment, 239, Article 111630. https://doi.org/10.1016/j.rse.2019.111630

The kappa coefficient is not an index of accuracy, indeed it is not an index of overall agreement but one of agreement beyond chance. Chance agreement is, however, irrelevant in an accuracy assessment and is anyway inappropriately modelled in the cal... Read More about Explaining the unsuitability of the kappa coefficient in the assessment and comparison of the accuracy of thematic maps obtained by image classification.

SFSDAF: an enhanced FSDAF that incorporates sub-pixel class fraction change information for spatio-temporal image fusion (2019)
Journal Article
Li, X., Foody, G. M., Boyd, D. S., Ge, Y., Zhang, Y., Du, Y., & Ling, F. (2020). SFSDAF: an enhanced FSDAF that incorporates sub-pixel class fraction change information for spatio-temporal image fusion. Remote Sensing of Environment, 237, Article 111537. https://doi.org/10.1016/j.rse.2019.111537

Spatio-temporal image fusion methods have become a popular means to produce remotely sensed data sets that have both fine spatial and temporal resolution. Accurate prediction of reflectance change is difficult, especially when the change is caused by... Read More about SFSDAF: an enhanced FSDAF that incorporates sub-pixel class fraction change information for spatio-temporal image fusion.

Night-time lights are more strongly related to urban building volume than to urban area (2019)
Journal Article
Shi, L., Foody, G. M., Boyd, D. S., Girindran, R., Wang, L., Du, Y., & Ling, F. (2020). Night-time lights are more strongly related to urban building volume than to urban area. Remote Sensing Letters, 11(1), 29-36. https://doi.org/10.1080/2150704X.2019.1682709

A strong relationship between night-time light (NTL) data and the areal extent of urbanized regions has been observed frequently. As urban regions have an important vertical dimension, it is hypothesized that the strength of the relationship with NTL... Read More about Night-time lights are more strongly related to urban building volume than to urban area.

Measuring River Wetted Width from Remotely Sensed Imagery at the Subpixel Scale with a Deep Convolutional Neural Network (2019)
Journal Article
Ling, F., Boyd, D., Ge, Y., Foody, G. M., Li, X., Wang, L., Zhang, Y., Shi, L., Shang, C., Li, X., & Du, Y. (2019). Measuring River Wetted Width from Remotely Sensed Imagery at the Subpixel Scale with a Deep Convolutional Neural Network. Water Resources Research, 55(7), 5631-5649. https://doi.org/10.1029/2018wr024136

River wetted width (RWW) is an important variable in the study of river hydrological and biogeochemical processes. Presently, RWW is often measured from remotely sensed imagery and the accuracy of RWW estimation is typically low when coarse spatial r... Read More about Measuring River Wetted Width from Remotely Sensed Imagery at the Subpixel Scale with a Deep Convolutional Neural Network.

The World's Tallest Tropical Tree in Three Dimensions (2019)
Journal Article
Shenkin, A., Chandler, C. J., Boyd, D. S., Jackson, T., Disney, M., Majalap, N., Nilus, R., Foody, G., bin Jami, J., Reynolds, G., Wilkes, P., Cutler, M. E. J., van der Heijden, G. M. F., Burslem, D. F. R. P., Coomes, D. A., Bentley, L. P., & Malhi, Y. (2019). The World's Tallest Tropical Tree in Three Dimensions. Frontiers in Forests and Global Change, 2, 1-5. https://doi.org/10.3389/ffgc.2019.00032

Here we report the recent discovery of the world's tallest tropical tree (Shorea faguetiana), possibly the world's tallest angiosperm (flowering plant), located in the rainforests of Sabah, Malaysian Borneo. In addition, we provide a novel three-dime... Read More about The World's Tallest Tropical Tree in Three Dimensions.

Key issues in rigorous accuracy assessment of land cover products (2019)
Journal Article
Stehman, S. V., & Foody, G. M. (2019). Key issues in rigorous accuracy assessment of land cover products. Remote Sensing of Environment, 231, Article 111199. https://doi.org/10.1016/j.rse.2019.05.018

© 2019 Accuracy assessment and land cover mapping have been inexorably linked throughout the first 50 years of publication of Remote Sensing of Environment. The earliest developers of land-cover maps recognized the importance of evaluating the qualit... Read More about Key issues in rigorous accuracy assessment of land cover products.

Permanent disappearance and seasonal fluctuation of urban lake area in Wuhan, China monitored with long time series remotely sensed images from 1987 to 2016 (2019)
Journal Article
Shi, L., Ling, F., Foody, G. M., Chen, C., Fang, S., Li, X., Zhang, Y., & Du, Y. (2019). Permanent disappearance and seasonal fluctuation of urban lake area in Wuhan, China monitored with long time series remotely sensed images from 1987 to 2016. International Journal of Remote Sensing, 40(22), 1-22. https://doi.org/10.1080/01431161.2019.1612119

Lakes are important to the healthy functioning of the urban ecosystem. The urban lakes in Wuhan, China, which is known as ‘city of hundreds of lakes’, are facing substantial threats mainly due to rapid urbanization. This paper focused on detecting th... Read More about Permanent disappearance and seasonal fluctuation of urban lake area in Wuhan, China monitored with long time series remotely sensed images from 1987 to 2016.

Spatial-temporal super-resolution land cover mapping with a local spatial-temporal dependence model (2019)
Journal Article
Li, X., Ling, F., Foody, G. M., Ge, Y., Zhang, Y., Wang, L., Shi, L., Li, X., & Du, Y. (2019). Spatial-temporal super-resolution land cover mapping with a local spatial-temporal dependence model. IEEE Transactions on Geoscience and Remote Sensing, 57(7), 4951-4966. https://doi.org/10.1109/TGRS.2019.2894773

The mixed pixel problem is common in remote sensing. A soft classification can generate land cover class fraction images that illustrate the areal proportions of the various land cover classes within pixels. The spatial distribution of land cover cla... Read More about Spatial-temporal super-resolution land cover mapping with a local spatial-temporal dependence model.

Super-resolution land cover mapping by deep learning (2019)
Journal Article
Ling, F., & Foody, G. M. (2019). Super-resolution land cover mapping by deep learning. Remote Sensing Letters, 10(6), 598-606. https://doi.org/10.1080/2150704x.2019.1587196

Super-resolution mapping (SRM) is a technique to estimate a fine spatial resolution land cover map from coarse spatial resolution fractional proportion images. SRM is often based explicitly on the use of a spatial pattern model that represents the la... Read More about Super-resolution land cover mapping by deep learning.