All Outputs (101)

Remotely sensed spatial heterogeneity as an exploratory tool for taxonomic and functional diversity study (2017)
Journal Article
Rocchini, D., Bacaro, G., Chirici, G., Da Re, D., Feilhauer, H., Foody, G. M., …Rugani, B. (in press). Remotely sensed spatial heterogeneity as an exploratory tool for taxonomic and functional diversity study. Ecological Indicators, 85, https://doi.org/10.1016/j.ecolind.2017.09.055

Assessing biodiversity from field-based data is difficult for a number of practical reasons: (i) establishing the total number of sampling units to be investigated and the sampling design (e.g. systematic, random, stratified) can be difficult; (ii) t... Read More about Remotely sensed spatial heterogeneity as an exploratory tool for taxonomic and functional diversity study.

Monitoring thermal pollution in rivers downstream of dams with Landsat ETM+ thermal infrared images (2017)
Journal Article
Ling, F., Foody, G., Du, H., Ban, X., Li, X., Zhang, Y., & Du, Y. (2017). Monitoring thermal pollution in rivers downstream of dams with Landsat ETM+ thermal infrared images. Remote Sensing, 9(11), Article 1175. https://doi.org/10.3390/rs9111175

Dams play a significant role in altering the spatial pattern of temperature in rivers and contribute to thermal pollution, which greatly affects the river aquatic ecosystems. Understanding the temporal and spatial variation of thermal pollution cause... Read More about Monitoring thermal pollution in rivers downstream of dams with Landsat ETM+ thermal infrared images.

Impervious surface change mapping with an uncertainty-based spatial-temporal consistency model: a case study in Wuhan city using Landsat time-series datasets from 1987 to 2016 (2017)
Journal Article
Shi, L., Ling, F., Ge, Y., Foody, G. M., Li, X., Wang, L., …Du, Y. (2017). Impervious surface change mapping with an uncertainty-based spatial-temporal consistency model: a case study in Wuhan city using Landsat time-series datasets from 1987 to 2016. Remote Sensing, 9(11), Article 1148. https://doi.org/10.3390/rs9111148

Detailed information on the spatial-temporal change of impervious surfaces is important for quantifying the effects of rapid urbanization. Free access of the Landsat archive provides new opportunities for impervious surface mapping with fine spatial... Read More about Impervious surface change mapping with an uncertainty-based spatial-temporal consistency model: a case study in Wuhan city using Landsat time-series datasets from 1987 to 2016.

Mapping and the citizen sensor (2017)
Book
Foody, G., See, L., Fritz, S., Mooney, P., Olteanu-Raimond, A.-M., Costa Fonte, C., & Antoniou, V. (2017). G. Foody, L. See, S. Fritz, P. Mooney, A.-M. Olteanu-Raimond, C. C. Fonte, & V. Antoniou (Eds.). Mapping and the citizen sensor. Ubiquity Press. https://doi.org/10.5334/bbf

Maps are a fundamental resource in a diverse array of applications ranging from everyday activities, such as route planning through the legal demarcation of space to scientific studies, such as those seeking to understand biodiversity and inform the... Read More about Mapping and the citizen sensor.

Impacts of sample design for validation data on the accuracy of feedforward neural network classification (2017)
Journal Article
Foody, G. (2017). Impacts of sample design for validation data on the accuracy of feedforward neural network classification. Applied Sciences, 7(9), Article 888. https://doi.org/10.3390/app7090888

Validation data are often used to evaluate the performance of a trained neural network and used in the selection of a network deemed optimal for the task at-hand. Optimality is commonly assessed with a measure, such as overall classification accuracy... Read More about Impacts of sample design for validation data on the accuracy of feedforward neural network classification.

Generating a series of fine spatial and temporal resolution land cover maps by fusing coarse spatial resolution remotely sensed images and fine spatial resolution land cover maps (2017)
Journal Article
Li, X., Ling, F., Foody, G. M., Ge, Y., Zhang, Y., & Du, Y. (2017). Generating a series of fine spatial and temporal resolution land cover maps by fusing coarse spatial resolution remotely sensed images and fine spatial resolution land cover maps. Remote Sensing of Environment, 196, 293-311. https://doi.org/10.1016/j.rse.2017.05.011

© 2017 Elsevier Inc. Studies of land cover dynamics would benefit greatly from the generation of land cover maps at both fine spatial and temporal resolutions. Fine spatial resolution images are usually acquired relatively infrequently, whereas coars... Read More about Generating a series of fine spatial and temporal resolution land cover maps by fusing coarse spatial resolution remotely sensed images and fine spatial resolution land cover maps.

Improving specific class mapping from remotely sensed data by cost-sensitive learning (2017)
Journal Article
Silva, J., Bacao, F., Dieng, M., Foody, G. M., & Caetano, M. (2017). Improving specific class mapping from remotely sensed data by cost-sensitive learning. International Journal of Remote Sensing, 38(11), 3294-3316. https://doi.org/10.1080/01431161.2017.1292073

In many remote-sensing projects, one is usually interested in a small number of land-cover classes present in a study area and not in all the land-cover classes that make-up the landscape. Previous studies in supervised classification of satellite im... Read More about Improving specific class mapping from remotely sensed data by cost-sensitive learning.

Using mixed objects in the training of object-based image classifications (2017)
Journal Article
Costa, H., Foody, G. M., & Boyd, D. S. (2017). Using mixed objects in the training of object-based image classifications. Remote Sensing of Environment, 190, https://doi.org/10.1016/j.rse.2016.12.017

Image classification for thematic mapping is a very common application in remote sensing, which is sometimes realized through object-based image analysis. In these analyses, it is common for some of the objects to be mixed in their class composition... Read More about Using mixed objects in the training of object-based image classifications.

The sensitivity of mapping methods to reference data quality: training supervised image classifications with imperfect reference data (2016)
Journal Article
Foody, G. M., Pal, M., Rocchini, D., Garzon-Lopez, C. X., & Bastin, L. (2016). The sensitivity of mapping methods to reference data quality: training supervised image classifications with imperfect reference data. ISPRS International Journal of Geo-Information, 5(11), Article 199. https://doi.org/10.3390/ijgi5110199

The accuracy of a map is dependent on the reference dataset used in its construction. Classification analyses used in thematic mapping can, for example, be sensitive to a range of sampling and data quality concerns. With particular focus on the latte... Read More about The sensitivity of mapping methods to reference data quality: training supervised image classifications with imperfect reference data.

Integration of remote-sensing and ground-based observations for estimation of emissions and removals of greenhouse gases in forests: methods and guidance from the Global Forest Observations Initiative (2016)
Report
Penman, J., Green, C., Olofsson, P., Raison, J., Woodcock, C., Balzter, H., …Foody, G. M. (2016). Integration of remote-sensing and ground-based observations for estimation of emissions and removals of greenhouse gases in forests: methods and guidance from the Global Forest Observations Initiative. U.N.Food and Agriculture Organization

The Global Forest Observations Initiative (GFOI) was established by GEO in 2011, to assist countries to produce reliable, consistent reports on change in forest cover and forest use, and associated anthropogenic greenhouse gas emissions and removals.

An iterative interpolation deconvolution algorithm for superresolution land cover mapping (2016)
Journal Article
Ling, F., Foody, G. M., Ge, Y., Li, X., & Du, Y. (2016). An iterative interpolation deconvolution algorithm for superresolution land cover mapping. IEEE Transactions on Geoscience and Remote Sensing, 54(12), 7210-7222. https://doi.org/10.1109/TGRS.2016.2598534

Super-resolution mapping (SRM) is a method to produce a fine spatial resolution land cover map from coarse spatial resolution remotely sensed imagery. A popular approach for SRM is a two-step algorithm, which first increases the spatial resolution of... Read More about An iterative interpolation deconvolution algorithm for superresolution land cover mapping.

Assessing a temporal change strategy for sub-pixel land cover change mapping from multi-scale remote sensing imagery (2016)
Journal Article
Ling, F., Foody, G., Li, X., Zhang, Y., & Du, Y. (in press). Assessing a temporal change strategy for sub-pixel land cover change mapping from multi-scale remote sensing imagery. Remote Sensing, 8(8), https://doi.org/10.3390/rs8080642

Remotely sensed imagery is an attractive source of information for mapping and monitoring land cover. Fine spatial resolution imagery is typically acquired infrequently, but fine temporal resolution systems commonly provide coarse spatial resolution... Read More about Assessing a temporal change strategy for sub-pixel land cover change mapping from multi-scale remote sensing imagery.

Investigating the feasibility of geo-tagged photographs as sources of land cover input data (2016)
Journal Article
Antoniou, V., Costa Fonte, C., See, L., Estima, J., Arsanjani, J. J., Lupia, F., …Fritz, S. (2016). Investigating the feasibility of geo-tagged photographs as sources of land cover input data. ISPRS International Journal of Geo-Information, 5(5), 1-20. https://doi.org/10.3390/ijgi5050064

Geo-tagged photographs are used increasingly as a source of Volunteered Geographic Information (VGI), which could potentially be used for land use and land cover applications. The purpose of this paper is to analyze the feasibility of using this sour... Read More about Investigating the feasibility of geo-tagged photographs as sources of land cover input data.

Improving super-resolution mapping through combining multiple super-resolution land-cover maps (2016)
Journal Article
Li, X., Ling, F., Foody, G. M., & Du, Y. (2016). Improving super-resolution mapping through combining multiple super-resolution land-cover maps. International Journal of Remote Sensing, 37(10), 2415-2432. https://doi.org/10.1080/01431161.2016.1148288

Super-resolution mapping (SRM) is an ill-posed problem, and different SRM algorithms may generate non-identical fine spatial resolution land-cover maps (sub-pixel maps) from the same input coarse spatial resolution image. The output sub-pixels maps m... Read More about Improving super-resolution mapping through combining multiple super-resolution land-cover maps.

Crowdsourcing, citizen science or volunteered geographic information? The current state of crowdsourced geographic information (2016)
Journal Article
See, L., Mooney, P., Foody, G. M., Bastin, L., Comber, A., Estima, J., …Rutzinger, M. (2016). Crowdsourcing, citizen science or volunteered geographic information? The current state of crowdsourced geographic information. ISPRS International Journal of Geo-Information, 5(5), 55. https://doi.org/10.3390/ijgi5050055

Citizens are increasingly becoming an important source of geographic information, sometimes entering domains that had until recently been the exclusive realm of authoritative agencies. This activity has a very diverse character as it can, amongst oth... Read More about Crowdsourcing, citizen science or volunteered geographic information? The current state of crowdsourced geographic information.

Learning-Based Superresolution Land Cover Mapping (2016)
Journal Article
Ling, F., Zhang, Y., Foody, G. M., Li, X., Zhang, X., Fang, S., …Du, Y. (2016). Learning-Based Superresolution Land Cover Mapping. IEEE Transactions on Geoscience and Remote Sensing, 54(7), 3794-3810. https://doi.org/10.1109/TGRS.2016.2527841

Super-resolution mapping (SRM) is a technique for generating a fine spatial resolution land cover map from coarse spatial resolution fraction images estimated by soft classification. The prior model used to describe the fine spatial resolution land c... Read More about Learning-Based Superresolution Land Cover Mapping.

A Superresolution Land-Cover Change Detection Method Using Remotely Sensed Images With Different Spatial Resolutions (2016)
Journal Article
Li, X., Ling, F., Foody, G. M., & Du, Y. (2016). A Superresolution Land-Cover Change Detection Method Using Remotely Sensed Images With Different Spatial Resolutions. IEEE Transactions on Geoscience and Remote Sensing, 54(7), 3822-3841. https://doi.org/10.1109/TGRS.2016.2528583

The development of remote sensing has enabled the acquisition of information on land-cover change at different spatial scales. However, a trade-off between spatial and temporal resolutions normally exists. Fine-spatial-resolution images have low temp... Read More about A Superresolution Land-Cover Change Detection Method Using Remotely Sensed Images With Different Spatial Resolutions.

Geographically weighted evidence combination approaches for combining discordant and inconsistent volunteered geographical information (2016)
Journal Article
Comber, A., Fonte, C., Foody, G. M., Fritz, S., Harris, P., Olteanu-Raimond, A.-M., & See, L. (in press). Geographically weighted evidence combination approaches for combining discordant and inconsistent volunteered geographical information. Geoinformatica Polonica, 20(3), https://doi.org/10.1007/s10707-016-0248-z

There is much interest in being able to combine crowdsourced data. One of the critical issues in information sciences is how to combine data or information that are discordant or inconsistent in some way. Many previous approaches have taken a majorit... Read More about Geographically weighted evidence combination approaches for combining discordant and inconsistent volunteered geographical information.

The scale of VGI in map production: a perspective of European National Mapping Agencies (2016)
Journal Article
Olteanu-Raimond, A.-M., Hart, G., Foody, G. M., Touya, G., Kellenberger, T., & Demetriou, D. (in press). The scale of VGI in map production: a perspective of European National Mapping Agencies. Transactions in GIS, https://doi.org/10.1111/tgis.12189

The perspective of European National Mapping Agencies (NMA) on the role of citizen sensing in map production was explored. The NMAs varied greatly in their engagement with the community generating volunteered geographic information (VGI) and in their... Read More about The scale of VGI in map production: a perspective of European National Mapping Agencies.

Impacts of species misidentification on species distribution modeling with presence-only data (2015)
Journal Article
Costa, H., Foody, G. M., Jiménez, S., & Silva, L. (2015). Impacts of species misidentification on species distribution modeling with presence-only data. ISPRS International Journal of Geo-Information, 4(4),

Spatial records of species are commonly misidentified, which can change the predicted distribution of a species obtained from a species distribution model (SDM). Experiments were undertaken to predict the distribution of real and simulated species us... Read More about Impacts of species misidentification on species distribution modeling with presence-only data.