cacb66de-aea0-41d5-97b3-9eacd4683aaf English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:18:45 UK GEMINI 2.3 OSGB 1936 / British National Grid Land Cover/Land Use maps (30m) for Shivamogga, Sindhudurg and Wayanad, India, 2018 2023-03-20 publication https://catalogue.ceh.ac.uk/id/cacb66de-aea0-41d5-97b3-9eacd4683aaf 10.5285/cacb66de-aea0-41d5-97b3-9eacd4683aaf doi: Samrat, A., Purse, B.V., Vanak, A.T., Chaudhary, A., Uday, N.G., Rahman, M., Hassall, R., George, C., Gerard, F. (2023). Land Cover/Land Use maps (30m) for Shivamogga, Sindhudurg and Wayanad, India, 2018. NERC EDS Environmental Information Data Centre 10.5285/cacb66de-aea0-41d5-97b3-9eacd4683aaf This dataset contains Land Cover/Land Use (LCLU) maps for Sindhudurg, Shivamogga and Wayanad, India. LCLU products are state-of-the-art statically stable and area weighted accuracy assessed products. The LCLU product was generated for Kyasanur Forest Disease (KFD), a Zoonotic disease. KFD is an “ecotonal” disease. Diverse forest-plantation mosaics, zone moist evergreen forest and plantation, and low coverage of dry deciduous forest will cause higher risks for KFD. Our LCLU product aimed to separate diverse forest types and plantation and we achieved high accuracy (>90%). The study covers Sindhudurg, Shivamogga, and Wayanad Western Ghats district which belong to Indian state Maharashtra, Karnataka, and Kerala respectively. Full details about this dataset can be found at https://doi.org/10.5285/cacb66de-aea0-41d5-97b3-9eacd4683aaf Samrat, A. Ashoka Trust for Research in Ecology and the Environment abhisheksamrat02@gmail.com https://orcid.org/0000-0003-1943-8574 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information pointOfContact NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher Samrat, A. Ashoka Trust for Research in Ecology and the Environment abhisheksamrat02@gmail.com https://orcid.org/0000-0003-1943-8574 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Purse, B.V. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0001-5140-2710 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Vanak, A.T. Ashoka Trust for Research in Ecology and the Environment avanak@atree.org https://orcid.org/0000-0003-2435-4260 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Chaudhary, A. Quantitative Disease Ecology and Conservation (QDEC) Lab Group, Department of Geography, University of Florida, Gainesville, Florida, United States of America. anusha.chaudhary98@gmail.com author Uday, N.G. Ashoka Trust for Research in Ecology and the Environment gowri.uday@atree.org author Rahman, M. Ashoka Trust for Research in Ecology and the Environment mujeeb.rahman@atree.org author Hassall, R. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk author George, C. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0001-6318-2196 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Gerard, F. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0001-5916-5174 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk owner Ashoka Trust for Research in Ecology and the Environment enquiries@ceh.ac.uk owner land use land cover GEMET - Concepts, version 4.1.3 2019-01-28 creation Wayanad Sindhudurg Shimoga GeoNames 2006-01-01 creation Land cover Mapping otherRestrictions no limitations otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions If you reuse this data, you should cite: Samrat, A., Purse, B.V., Vanak, A.T., Chaudhary, A., Uday, N.G., Rahman, M., Hassall, R., George, C., Gerard, F. (2023). Land Cover/Land Use maps (30m) for Shivamogga, Sindhudurg and Wayanad, India, 2018. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/cacb66de-aea0-41d5-97b3-9eacd4683aaf grid 30 English utf8 biota environment imageryBaseMapsEarthCover 2018-01-01 2018-12-31 73.288 76.565 11.35 16.7 TIFF Geopackage NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/cacb66de-aea0-41d5-97b3-9eacd4683aaf Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/cacb66de-aea0-41d5-97b3-9eacd4683aaf.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 The Land Cover/Land Use (LCLU) product was derived from Landsat 8 Operational Land Imager reflectance Tier 1 imagery. The signature was randomly divided into 20% test sample size and 80% sample size. The 80% sample size was further divided into 30% validation sample and 70% training sample and the sampling strategy was carried out randomly for 50 times. Each set of the 70% (training set) and 30% sample (validation set) was used to generate the LCLU and validate it. The final LCLU was a mode of 50 time LCLU and finally the 20% sample was used for testing the accuracy of Mode’s LCLU.