Gro for GooD Land Cover Land Use Data 1990 & 2015, Kwale County, Kenya (NERC grant NE/M008894/1)

This data set contains land cover/land use data for the year 1990 and 2015 obtained through processing of Landsat images of US Geological Survey. These data sets were obtained through a supervised classification carried out with Landsat 8 image for 2015; Landsat 4 and 5 were used for land use classification of 1990. Gro for GooD: Groundwater Risk Management for Growth and Development

Date (Creation): 2017-11-17

Citation identifier: http://data.bgs.ac.uk/id/dataHolding/13607231

Point of contact

Organisation name	Individual name	Electronic mail address	Role
University of Oxford	Dr R A Hope	not available	Principal investigator
University of Oxford	Nancy Gladstone	not available	Point of contact
Rural Focus Ltd	Mike Thomas	not available	Originator
Jomo Kenyatta University of Agriculture and Technology	John Gathenya	not available	Originator
British Geological Survey	Enquiries	not available	Distributor
British Geological Survey	Enquiries	not available	Point of contact

Maintenance and update frequency: notApplicable

GEMET - INSPIRE themes, version 1.0

Geology

BGS Thesaurus of Geosciences

NGDC Deposited Data

dataCentre

NGDC Deposited Data

Keywords

NERC_DDC

Access constraints: Other restrictions

Other constraints: no limitations

Other constraints: The dataset is made freely available for access, e.g. via the Internet. Either no third party data / information is contained in the dataset or BGS has secured written permission from the owner(s) of any third party data / information contained in the dataset to make the dataset freely accessible.

Use constraints: Other restrictions

Other constraints: The copyright of materials derived from the British Geological Survey's work is vested in the Natural Environment Research Council [NERC]. No part of this work may be reproduced or transmitted in any form or by any means, or stored in a retrieval system of any nature, without the prior permission of the copyright holder, via the BGS Intellectual Property Rights Manager. Use by customers of information provided by the BGS, is at the customer's own risk. In view of the disparate sources of information at BGS's disposal, including such material donated to BGS, that BGS accepts in good faith as being accurate, the Natural Environment Research Council (NERC) gives no warranty, expressed or implied, as to the quality or accuracy of the information supplied, or to the information's suitability for any use. NERC/BGS accepts no liability whatever in respect of loss, damage, injury or other occurence however caused.

Other constraints: Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]"

Spatial representation type: Text, table

Language: English

Topic category

Geoscientific information

Begin date: 1990-01-01

End date: 2015-12-31

Unique resource identifier: Arc 1960 / UTM zone 37S (EPSG::21037)

Distribution format

Name	Version
archive files (.7z)

Distributor contact

Organisation name	Individual name	Electronic mail address	Role
British Geological Survey	Enquiries	not available	Distributor

OnLine resource

Protocol	Linkage	Name
	http://www.bgs.ac.uk/services/ngdc/accessions/index.html#item104409

OnLine resource

Protocol	Linkage	Name
	http://reshare.ukdataservice.ac.uk/853667/

Hierarchy level: Dataset

Other: dataset

Conformance result

Title: INSPIRE Implementing rules laying down technical arrangements for the interoperability and harmonisation of Geology

Date (Publication): 2011

Explanation: See the referenced specification

Pass: No

Conformance result

Title: 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

Date (Publication): 2010-12-08

Explanation: See http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2010:323:0011:0102:EN:PDF

Pass: No

Statement: Imagery used in the analysis was downloaded from the Earth Explorer USGS image database (Landsat Imagery Archive). A number of images for the 1990 land cover were combined i.e. 1992, 1991, 1995 and small section of 1997. This was done for cloud removal purposes alongside cloud cover removal algorithms applied for areas with less than 50% cloud cover. Cloud cover was not a major problem for 2015 images. Landsat 166063 was used for the classification for the years mentioned above. Image pre-processing procedures; cloud cover removal using the assessment cloud cover algorithm mosaicking of different images as cloud removal tools was applied. The images were set to WGS84 UTM zone 37s. [See Landuse landcover methodology.txt file within the zip data set for further details]