All Outputs (107)

Measuring beta-diversity by remote sensing: a challenge for biodiversity monitoring (2018)
Journal Article
Rocchini, D., Luque, S., Pettorelli, N., Bastin, L., Doktor, D., Faedi, N., Feilhauer, H., Feret, J.-B., Foody, G. M., Gavish, Y., Godinho, S., Kunin, W. E., Lausch, A., Leitao, P. J., Marcantonio, M., Neteler, M., Ricotta, C., Schmidtlein, S., Vihervaara, P., Wegmann, M., & Nagendra, H. (2018). Measuring beta-diversity by remote sensing: a challenge for biodiversity monitoring. Methods in Ecology and Evolution, 9(8), 1787-1798. https://doi.org/10.1111/2041-210X.12941

Biodiversity includes multiscalar and multitemporal structures and processes, with different levels of functional organization, from genetic to ecosystemic levels. One of the mostly used methods to infer biodiversity is based on taxonomic approaches... Read More about Measuring beta-diversity by remote sensing: a challenge for biodiversity monitoring.

Spatial-temporal fraction map fusion with multi-scale remotely sensed images (2018)
Journal Article
Zhang, Y., Foody, G. M., Ling, F., Li, X., Ge, Y., Du, Y., & Atkinson, P. M. (2018). Spatial-temporal fraction map fusion with multi-scale remotely sensed images. Remote Sensing of Environment, 213, https://doi.org/10.1016/j.rse.2018.05.010

Given the common trade-off between the spatial and temporal resolutions of current satellite sensors, spatial-temporal data fusion methods could be applied to produce fused remotely sensed data with synthetic fine spatial resolution (FR) and high rep... Read More about Spatial-temporal fraction map fusion with multi-scale remotely sensed images.

Using volunteered geographic information (VGI) in design-based statistical inference for area estimation and accuracy assessment of land cover (2018)
Journal Article
Stehman, S. V., Fonte, C. C., Foody, G. M., & See, L. (2018). Using volunteered geographic information (VGI) in design-based statistical inference for area estimation and accuracy assessment of land cover. Remote Sensing of Environment, 212, https://doi.org/10.1016/j.rse.2018.04.014

Volunteered Geographic Information (VGI) offers a potentially inexpensive source of reference data for estimating area and assessing map accuracy in the context of remote-sensing based land-cover monitoring. The quality of observations from VGI and t... Read More about Using volunteered geographic information (VGI) in design-based statistical inference for area estimation and accuracy assessment of land cover.

Slavery from Space: Demonstrating the role for satellite remote sensing to inform evidence-based action related to UN SDG number 8 (2018)
Journal Article
Boyd, D. S., Jackson, B., Wardlaw, J., Foody, G. M., Marsh, S., & Bales, K. (2018). Slavery from Space: Demonstrating the role for satellite remote sensing to inform evidence-based action related to UN SDG number 8. ISPRS Journal of Photogrammetry and Remote Sensing, 142, 380-388. https://doi.org/10.1016/j.isprsjprs.2018.02.012

The most recent Global Slavery Index estimates that there are 40.3 million people enslaved globally. The UN’s Agenda 2030 for Sustainable Development Goal number 8, section 8.7 specifically refers to the issue of forced labour: ending modern slavery... Read More about Slavery from Space: Demonstrating the role for satellite remote sensing to inform evidence-based action related to UN SDG number 8.

Increasing the accuracy of crowdsourced information on land cover via a voting procedure weighted by information inferred from the contributed data (2018)
Journal Article
Foody, G., See, L., Fritz, S., Moorthy, I., Perger, C., Schill, C., & Boyd, D. (2018). Increasing the accuracy of crowdsourced information on land cover via a voting procedure weighted by information inferred from the contributed data. ISPRS International Journal of Geo-Information, 7(3), https://doi.org/10.3390/ijgi7030080

Simple consensus methods are often used in crowdsourcing studies to label cases when data are provided by multiple contributors. A basic majority vote rule is often used. This approach weights the contributions from each contributor equally but the c... Read More about Increasing the accuracy of crowdsourced information on land cover via a voting procedure weighted by information inferred from the contributed data.

Supervised methods of image segmentation accuracy assessment in land cover mapping (2017)
Journal Article
Costa, H., Foody, G. M., & Boyd, D. S. (2018). Supervised methods of image segmentation accuracy assessment in land cover mapping. Remote Sensing of Environment, 205, https://doi.org/10.1016/j.rse.2017.11.024

Land cover mapping via image classification is sometimes realized through object-based image analysis. Objects are typically constructed by partitioning imagery into spatially contiguous groups of pixels through image segmentation and used as the bas... Read More about Supervised methods of image segmentation accuracy assessment in land cover mapping.

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., Galluzzi, M., Garzon-Lopez, C. X., Gillespie, T. W., He, K. S., Lenoir, J., Marcantonio, M., Nagendra, H., Ricotta, C., Rommel, E., Schmidtlein, S., Skidmore, A. K., Van de Kerchove, R., Wegmann, 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., Zhang, Y., & 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., Baltuck, M., & 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., Minghini, M., Foody, G. M., & 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.