Recent University of Leicester ODA and Global Challenge Publications

Ameen B., Balzter H., Jarvis C., Wey E., Thomas C., Marchand M. (2018), Validation of hourly global horizontal irradiance for two satellite-derived datasets in northeast Iraq, Remote Sensing 10: https://doi.org/10.3390/rs10101651

Ameen B., Balzter H., Jarvis C., Wheeler J. (2019), Modelling hourly global horizontal irradiance from satellite-derived datasets and climate variables as new inputs with artificial neural networks, Energies 12: https://doi.org/10.3390/en12010148

Ameen B., Balzter H., Jarvis C. (2018), Quality control of Global Horizontal Irradiance estimates through BSRN, TOACs and Air Temperature/Sunshine duration test procedures, Climate 6: https://doi.org/10.3390/cli6030069

Anaya J.A., Gutierrez-Velez V., Pacheco-Pascagaza A.M., Palomino-Ángel S., Han N., Balzter H. (2020), Drivers of forest loss in a megadiverse hotspot on the pacific Coast of Colombia, Remote Sensing 12: https://doi.org/10.3390/RS12081235

Anaya J.A., Gutierrez-Velez V., Pacheco-Pascagaza A.M., Palomino-Ángel S., Han N., Balzter H. (2020), Drivers of forest loss in a megadiverse hotspot on the pacific Coast of Colombia, Remote Sensing 12: https://doi.org/10.3390/RS12081235

Araza A., de Bruin S., Herold M., Quegan S., Labrière N., Rodríguez-Veiga P., Avitabile V., Santoro M., Mitchard E., Ryan C., et al. (2022), A comprehensive framework for assessing the accuracy and uncertainty of global above-ground biomass maps, Remote Sensing of Environment 272: https://doi.org/10.1016/j.rse.2022.112917

Araza A., de Bruin S., Herold M., Quegan S., Labrière N., Rodríguez-Veiga P., Avitabile V., Santoro M., Mitchard E., Ryan C., et al. (2022), A comprehensive framework for assessing the accuracy and uncertainty of global above-ground biomass maps, Remote Sensing of Environment 272: https://doi.org/10.1016/j.rse.2022.112917

Barrett K., Baxter R., Kukavskaya E.A., Balzter H., Shvetsov E.G., Buryak L.V. (2020), Postfire recruitment failure in Scots pine forests of southern Siberia, Remote Sensing of Environment 237: https://doi.org/10.1016/j.rse.2019.111539

Bispo P., Pardini M., Papathanassiou K., Kugler F., Balzter H., Rains D., dos Santos J., Rizaev I., Tansey K., dos Santos M., et al. (2019), Mapping forest successional stages in the Brazilian Amazon using forest heights derived from TanDEM-X SAR interferometry, Remote Sensing of Environment 232: https://doi.org/10.1016/j.rse.2019.05.013

Clarke B., Tierz P., Calder E., Yirgu G. (2020), Probabilistic Volcanic Hazard Assessment for Pyroclastic Density Currents From Pumice Cone Eruptions at Aluto Volcano, Ethiopia, Frontiers in Earth Science 8: https://doi.org/10.3389/feart.2020.00348

Clokie M., Blasdel B., Demars B., Sicheritz-Ponten T. (2020), Rethinking Phage Ecology by Rooting it Within an Established Plant Framework, PHAGE: Therapy, Applications, and Research 1: 121-136 https://doi.org/10.1089/phage.2020.0015

Cole B., Smith G., Balzter H. (2018), Acceleration and fragmentation of CORINE land cover changes in the United Kingdom from 2006–2012 detected by Copernicus IMAGE2012 satellite data, International Journal of Applied Earth Observation and Geoinformation 73: 107-122 https://doi.org/10.1016/j.jag.2018.06.003

Cole B., Smith G., De la Barreda-Bautista B., Hamer A., Payne M., Codd T., Johnson S.C.M., Chan L.Y., Balzter H. (2022), Dynamic Landscapes in the UK Driven by Pressures from Energy Production and Forestry—Results of the CORINE Land Cover Map 2018, Land 11: https://doi.org/10.3390/land11020192

da Conceição Bispo P., Rodríguez-Veiga P., Zimbres B., do Couto de Miranda S., Giusti Cezare C.H., Fleming S., Baldacchino F., Louis V., Rains D., Garcia M., et al. (2020), Woody aboveground biomass mapping of the brazilian savanna with a multi-sensor and machine learning approach, Remote Sensing 12: https://doi.org/10.3390/RS12172685

de Moura Y.M., Balzter H., Galvão L.S., Dalagnol R., Espírito-Santo F., Santos E.G., Garcia M., da Conceição Bispo P., Oliveira R.C., Shimabukuro Y.E. (2020), Carbon dynamics in a human-modified tropical forest: A case study using multi-temporal LiDAR data, Remote Sensing 12: https://doi.org/10.3390/rs12030430

Garcia M., Saatchi S., Ustin S., Balzter H. (2018), Modelling forest canopy height by integrating airborne LiDAR samples with satellite Radar and multispectral imagery, International Journal of Applied Earth Observation and Geoinformation 66: 159-173 https://doi.org/10.1016/j.jag.2017.11.017

Hamad R., Kolo K., Balzter H. (2018), Post-War Land Cover Changes and Fragmentation in Halgurd Sakran National Park (HSNP), Kurdistan Region of Iraq, Land 7: https://doi.org/10.3390/land7010038

Hamad R., Balzter H., Kolo K. (2019), Assessment of heavy metal release into the soil after mine clearing in Halgurd-Sakran National Park, Kurdistan, Iraq, Environmental Science and Pollution Research 26: 1517-1536 https://doi.org/10.1007/s11356-018-3597-3

Hamad R., Balzter H., Kolo K. (2018), Predicting land use/land cover changes using a CA-Markov model under two different scenarios, Sustainability (Switzerland) 10: https://doi.org/10.3390/su10103421

Hamad R., Kolo K., Balzter H. (2018), Land cover changes induced by demining operations in Halgurd-Sakran national park in the Kurdistan region of Iraq, Sustainability (Switzerland) 10: https://doi.org/10.3390/su10072422

Hodges F.E., Sicheritz-Ponten T., Clokie M. (2021), The Effect of Oxygen Availability on Bacteriophage Infection: A Review, PHAGE: Therapy, Applications, and Research 2: https://doi.org/10.1089/phage.2020.0041

Ibrahim S., Balzter H., Tansey K., Mathieu R., Tsutsumida N. (2019), Impact of soil reflectance variation correction on woody cover estimation in Kruger National Park using MODIS data, Remote Sensing 11: https://doi.org/10.3390/rs11080985

Ibrahim S., Kaduk J., Tansey K., Balzter H., Lawal U.M. (2021), Detecting phenological changes in plant functional types over West African savannah dominated landscape, International Journal of Remote Sensing 42: 567-594 https://doi.org/10.1080/01431161.2020.1811914

Ibrahim Y., Balzter H., Kaduk J. (2018), Land degradation continues despite greening in the Nigeria-Niger border region, Global Ecology and Conservation 16: https://doi.org/10.1016/j.gecco.2018.e00505

Iqbal I.M., Balzter H., Firdaus-E-barren , Shabbir A. (2021), Identifying the spectral signatures of invasive and native plant species in two protected areas of pakistan through field spectroscopy, Remote Sensing 13: https://doi.org/10.3390/rs13194009

Jones E.H., Letarov A., Clokie M. (2020), Neat Science in a Messy World: The Global Impact of Human Behavior on Phage Therapy, Past and Present, PHAGE: Therapy, Applications, and Research 1: 16-22 https://doi.org/10.1089/phage.2019.0002

Moore D.P. (2019), The October 2017 red sun phenomenon over the UK, Weather 74: 348-353 (Trade Journal) https://doi.org/10.1002/wea.3440

Munyati C., Balzter H., Economon E. (2020), Correlating Sentinel-2 MSI-derived vegetation indices with in-situ reflectance and tissue macronutrients in savannah grass, International Journal of Remote Sensing 41: 3820-3844 https://doi.org/10.1080/01431161.2019.1708505

Onyia N., Balzter H., Berrio J. (2019), Spectral diversity metrics for detecting oil pollution effect on biodiversity in the niger delta, Remote Sensing 11: https://doi.org/10.3390/rs11222662

Onyia N., Balzter H., Berrio J. (2018), Normalized difference vegetation vigour index: A new remote sensing approach to biodiversity monitoring in oil polluted regions, Remote Sensing 10: https://doi.org/10.3390/rs10060897

Ozigis M., Kaduk J., Jarvis C., da Conceição Bispo P., Balzter H. (2020), Detection of oil pollution impacts on vegetation using multifrequency SAR, multispectral images with fuzzy forest and random forest methods, Environmental Pollution 256: https://doi.org/10.1016/j.envpol.2019.113360

Page S.E., Mishra S., Agus F., Anshari G.Z., Dargie G., Evers S., Jauhiainen J., Jaya A., Jovani-Sancho A.J., Laurén A., et al. (2022), Anthropogenic impacts on lowland tropical peatland biogeochemistry, Nature Reviews Earth and Environment : https://doi.org/10.1038/s43017-022-00289-6

Palmer P., Marvin M.R., Siddans R., Kerridge B.J., Moore D.P. (2022), Nocturnal survival of isoprene linked to formation of upper tropospheric organic aerosol, Science 375: 562-566 https://doi.org/10.1126/science.abg4506

Pandey P., Balzter H., Srivastava P.K., Petropoulos G., Bhattacharya B.K. (2020), Future perspectives and challenges in hyperspectral remote sensing In: Hyperspectral Remote Sensing: Theory and Applications, pgs: 429-439 (Book:Book Chapter) https://doi.org/10.1016/B978-0-08-102894-0.00021-8

Peruchi Trevisan D., da Conceição Bispo P., Almeida D., Imani M., Balzter H., Moschini L.E. (2020), Environmental vulnerability index: An evaluation of the water and the vegetation quality in a Brazilian Savanna and Seasonal Forest biome, Ecological Indicators 112: https://doi.org/10.1016/j.ecolind.2020.106163

Pourshamsi M., Garcia M., Lavalle M., Balzter H. (2018), A Machine-Learning Approach to PolInSAR and LiDAR Data Fusion for Improved Tropical Forest Canopy Height Estimation Using NASA AfriSAR Campaign Data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 11: 3453-3463 https://doi.org/10.1109/JSTARS.2018.2868119

Pourshamsi M., Xia J., Yokoya N., Garcia M., Lavalle M., Pottier E., Balzter H. (2021), Tropical forest canopy height estimation from combined polarimetric SAR and LiDAR using machine-learning, ISPRS Journal of Photogrammetry and Remote Sensing 172: 79-94 https://doi.org/10.1016/j.isprsjprs.2020.11.008

Rasul A., Balzter H., Ibrahim G.R.F., Hameed H.M., Wheeler J., Adamu B., Ibrahim S., Najmaddin P. (2018), Applying built-up and bare-soil indices from Landsat 8 to cities in dry climates, Land 7: https://doi.org/10.3390/land7030081

Rasul A., Ibrahim S., Onojeghuo A.R., Balzter H. (2020), A trend analysis of leaf area index and land surface temperature and their relationship from global to local scale, Land 9: 1-17 https://doi.org/10.3390/land9100388

Rodríguez-Veiga P., Carreiras J., Smallman T., Exbrayat J., Ndambiri J., Mutwiri F., Nyasaka D., Quegan S., Williams M., Balzter H. (2020), Carbon stocks and fluxes in kenyan forests and wooded grasslands derived from earth observation and model-data fusion, Remote Sensing 12: https://doi.org/10.3390/RS12152380

Rodríguez-Veiga P., Barbosa-Herrera A.P., Barreto-Silva J.S., da Conceição Bispo P., Cabrera E., Capachero C., Galindo G., Gou Y., Moreno L.M., Louis V., et al. (2019), Mapping the spatial distribution of Colombia’s forest aboveground biomass using SAR and optical data In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, pgs: 57-60 (Conference Proceeding) https://doi.org/10.5194/isprs-archives-XLII-3-W7-57-2019

Rodríguez-Veiga P., Quegan S., Carreiras J., Persson H.J., Fransson J.E.S., Hoscilo A., Ziółkowski D., Stereńczak K., Lohberger S., Stängel M., et al. (2019), Forest biomass retrieval approaches from earth observation in different biomes, International Journal of Applied Earth Observation and Geoinformation 77: 53-68 https://doi.org/10.1016/j.jag.2018.12.008

Santoro M., Cartus O., Carvalhais N., Rozendaal D.M.A., Avitabile V., Araza A., de Bruin S., Herold M., Quegan S., Rodríguez-Veiga P., et al. (2021), The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations, Earth System Science Data 13: 3927-3950 https://doi.org/10.5194/essd-13-3927-2021

Stratoulias D., Balzter H., Zlinszky A., Toth V. (2018), A comparison of airborne hyperspectral-based classifications of emergent wetland vegetation at lake Balaton, Hungary, International Journal of Remote Sensing 39: 5689-5715 https://doi.org/10.1080/01431161.2018.1466081

Tierz P., Clarke B., Calder E., Dessalegn F., Lewi E., Yirgu G., Fontijn K., Crummy J.M., Bekele Y., Loughlin S. (2020), Event Trees and Epistemic Uncertainty in Long-Term Volcanic Hazard Assessment of Rift Volcanoes: The Example of Aluto (Central Ethiopia), Geochemistry, Geophysics, Geosystems 21: https://doi.org/10.1029/2020GC009219

Trevisan D.P., da Conceição Bispo P., Gou Y., de Souza B.F., Liesenberg V., Harris A., Balzter H., Moschini L.E. (2021), Analysis of a landscape intensely modified by agriculture in the tietê-jacaré watershed, Brazil, Sustainability (Switzerland) 13: https://doi.org/10.3390/su13169304

Trevisan D.P., Ruggiero M.H., Bispo P., Almeida D., Imani M., Balzter H., Moschini L.E. (2021), Evaluation of environmental naturalness: A case study in the tietê-jacaré hydrographic basin, São Paulo, Brazil, Sustainability (Switzerland) 13: https://doi.org/10.3390/su13063021

Tsutsumida N., Nagai S., Rodríguez-Veiga P., Katagi J., Nasahara K., Tadono T. (2019), Mapping spatial accuracy of forest type classification in jaxa's high-resolution land use and land cover map In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pgs: 57-63 (Conference Proceeding) https://doi.org/10.5194/isprs-annals-IV-3-W1-57-2019

Verdezoto N.X., Bagalkot N., Akbar S.Z., Sharma S., Mackintosh N., Harrington D.M., Griffiths P. (2021), The Invisible Work of Maintenance in Community Health: Challenges and Opportunities for Digital Health to Support Frontline Health Workers in Karnataka, South India, Proceedings of the ACM on Human-Computer Interaction 5: https://doi.org/10.1145/3449165

Wiederkehr N., Gama F., Castro P.B.N., Bispo P., Balzter H., Sano E., Liesenberg V., Santos J.R., Mura J. (2020), Discriminating forest successional stages, forest degradation, and land use in central Amazon using ALOS/PALSAR‐2 full‐polarimetric data, Remote Sensing 12: 1-30 https://doi.org/10.3390/rs12213512

Zhang Y., Balzter H., Li Y. (2021), Influence of impervious surface area and fractional vegetation cover on seasonal urban surface heating/cooling rates, Remote Sensing 13: https://doi.org/10.3390/rs13071263

Zhang Y., Wang X., Balzter H., Qiu B., Cheng J. (2019), Directional and zonal analysis of urban thermal environmental change in fuzhou as an indicator of urban landscape transformation, Remote Sensing 11: https://doi.org/10.3390/rs11232810

Zhu H., Wang J., Wang S.H., Zhang Y., Gorriz J.M. (2022), ConvNet-CA: A Lightweight Attention-Based CNN for Brain Disease Detection In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pgs: 3-12 (Book Series:Conference Paper) https://doi.org/10.1007/978-3-031-06242-1_1