Items where authors include "Comber, AJ"

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Number of items: 9.

Article

Mc Cutchan, M, Comber, AJ orcid.org/0000-0002-3652-7846, Giannopoulos, I et al. (1 more author) (2021) Semantic Boosting: Enhancing Deep Learning Based LULC Classification. Remote Sensing, 13 (16). 3197. ISSN 2072-4292

Li, Z, Comber, A, White, JC et al. (4 more authors) (2021) Land cover harmonization using Latent Dirichlet Allocation. International Journal of Geographical Information Science, 35 (2). pp. 348-374. ISSN 1365-8816

Tao, X, Fu, Z and Comber, AJ orcid.org/0000-0002-3652-7846 (2019) An Analysis of Modes of Commuting in Urban and Rural Areas. Applied Spatial Analysis and Policy, 12 (4). pp. 831-845. ISSN 1874-463X

Li, T, Lü, Y, Fu, B et al. (2 more authors) (2019) Bundling ecosystem services for detecting their interactions driven by large-scale vegetation restoration: enhanced services while depressed synergies. Ecological Indicators, 99. pp. 332-342. ISSN 1470-160X

Lü, Y, Hu, J, Fu, B et al. (5 more authors) (2019) A framework for the regional critical zone classification: The case of the Chinese Loess Plateau. National Science Review, 6 (1). pp. 14-18. ISSN 2095-5138

Li, T, Lu, Y, Fu, B et al. (3 more authors) (2017) Gauging policy-driven large-scale vegetation restoration programmes under a changing environment: Their effectiveness and socio-economic relationships. Science of the Total Environment, 607. pp. 911-919. ISSN 0048-9697

Hu, J, Lü, Y, Fu, B et al. (2 more authors) (2017) Quantifying the effect of ecological restoration on runoff and sediment yields: A meta-analysis for the Loess Plateau of China. Progress in Physical Geography, 41 (6). pp. 753-774. ISSN 0309-1333

Comber, AJ orcid.org/0000-0002-3652-7846, Davies, H, Pinder, D et al. (3 more authors) (2016) Mapping coastal land use changes 1965–2014: methods for handling historical thematic data. Transactions of the Institute of British Geographers, 41 (4). pp. 442-459. ISSN 0020-2754

Comber, AJ, Harris, P and Tsutsumida, N (2016) Improving land cover classification using input variables derived from a geographically weighted principal components analysis. ISPRS Journal of Photogrammetry and Remote Sensing, 119. pp. 347-360. ISSN 0924-2716

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