6a8b07f9-552e-408c-8351-595ee6a7fc5f 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 2025-11-13T16:27:09 UK GEMINI 2.3 WGS 84 Woody biomass maps of Mabalane, Gurue, and Maruppa, Mozambique 2018-12-18 publication 2012-01-12 creation https://catalogue.ceh.ac.uk/id/6a8b07f9-552e-408c-8351-595ee6a7fc5f 10.5285/6a8b07f9-552e-408c-8351-595ee6a7fc5f doi: Ryan, C., McNicol, I. (2018). Woody biomass maps of Mabalane, Gurue, and Maruppa, Mozambique. NERC Environmental Information Data Centre 10.5285/6a8b07f9-552e-408c-8351-595ee6a7fc5f The data consist of woody biomass maps of three study areas - Mabalane, Gurue, and Maruppa in Mozambique. Each area map comprises three Geotiff layers stacked in the order band 1= 2007, band 2 = 2010, band 3 = 2014. Each pixel is an aboveground woody biomass in tonnes of carbon per hectare (ha). For the biomass maps -18.00000 means no data. Due to noise, it is possible to have negative biomass estimates. Individual layers can extracted for year specific analyses. Data were collected as part of the Abrupt Changes in Ecosystem Services and Wellbeing in Mozambican Woodlands (ACES) project under the ESPA programme Full details about this dataset can be found at https://doi.org/10.5285/6a8b07f9-552e-408c-8351-595ee6a7fc5f Trepathi, H. University of Edinburgh hemanttripathi05@gmail.com pointOfContact Ryan, C. University of Edinburgh casey.ryan@ed.ac.uk https://orcid.org/0000-0002-1802-0128 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 McNicol, I. University of Edinburgh I.McNicol@ed.ac.uk https://orcid.org/0000-0003-3073-5668 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 NERC Environmental Information Data Centre info@eidc.ac.uk publisher NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian biomass GEMET - Concepts, version 4.1.3 2019-01-28 creation Mozambique GeoNames 2006-01-01 creation Gurue Mabalane Maruppa otherRestrictions no limitations otherRestrictions This resource is made available under the terms of the Open Government Licence otherRestrictions © Natural Environment Research Council otherRestrictions © University of Edinburgh otherRestrictions If you reuse this data, you should cite: Ryan, C., McNicol, I. (2018). Woody biomass maps of Mabalane, Gurue, and Maruppa, Mozambique. NERC Environmental Information Data Centre https://doi.org/10.5285/6a8b07f9-552e-408c-8351-595ee6a7fc5f grid 15 English utf8 biota environment farming 2007-01-01 2014-12-31 29.871 42.137 -27.056 -9.971 TIFF NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/sd/6a8b07f9-552e-408c-8351-595ee6a7fc5f.zip Supporting information Supporting information available to assist in re-use of this dataset information https://catalogue.ceh.ac.uk/datastore/eidchub/6a8b07f9-552e-408c-8351-595ee6a7fc5f Download the data Download a copy of this data fileAccess 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 Maps are built from three ALOS PALSAR scenes per year for 2007, 2010 and 2014. These are HV backscatter in power units (not dB). Late dry season images were acquired from two tracks. These are calibrated, terrain corrected and despeckeled (using a 3x3 GammaMAP filter) using SNAP version 2.0 and exported at 15 m pixel size. Each scene was then georeferenced to a mosaicked, pansharpened Landsat 8 image acquired from Sept 2014 using ENVI v 4.8. The georefenceing used manually selected reference tie points distributed around the image. Geo reference each scene before mosaicking. Coregistering doesn’t work- in SNAP with reasonable setting it seemed to make no difference. ALOS 2 is better located than ALOS 1. If you use this data you need to acknowledge JAXA and ESA, who supplied the images, as follows: JAXA kindly provided the ALOS PALSAR data through the 4th Research Agreement for the Advanced Land Observing Satellite-2 (PI No. 1152). ESA also provided ALOS data via Category-1 Proposals 7493 and 18624. ESPA needs to be acknowledged separately.