Universität zu Köln

Willkomm, Maximilian, Follmann, Alexander and Dannenberg, Peter ORCID: 0000-0002-4159-6635 (2019). Rule-based, hierarchical land use and land cover classification of urban and peri-urban agriculture in data-poor regions with RapidEye satellite imagery: a case study of Nakuru, Kenya. J. Appl. Remote Sens., 13 (1). BELLINGHAM: SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS. ISSN 1931-3195

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Abstract

Urban and peri-urban agriculture (UPA) is of high importance for city dwellers especially in medium-sized cities in sub-Saharan Africa as it fulfills a wide range of multifunctional urban needs. However, the extent of recent agricultural land use dynamics in sub-Saharan African cities under rapid urbanization so far remains unclear. This study assessed the operationality of a rule-based, hierarchical classification of RapidEye satellite imagery to monitor land use and land cover (LULC) dynamics from 2010 to 2017 with a focus on UPA and its patch sizes on the example of the rapidly growing medium-sized city Nakuru, Kenya. The hierarchical system was able to provide a high-resolution, multitemporal, area-wide data set, and proved beneficial through a high flexibility in considering each class separately. Though the approach offered limitations in distinguishing between agricultural crops, the produced data set gave insights about intense LULC dynamics and high land use pressure indicated, in particular, by an increase of sealed areas by 83%, an ongoing expansion of agricultural land and high variations in the detected classes between the years. In the context of data shortage, the findings contribute to the understanding of urbanization patterns in sub-Saharan Africa. (C) 2019 Society of Photo-Optical Instrumentation Engineers (SPIE)

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Willkomm, Maximilian UNSPECIFIED UNSPECIFIED UNSPECIFIED Follmann, Alexander UNSPECIFIED UNSPECIFIED UNSPECIFIED Dannenberg, Peter UNSPECIFIED orcid.org/0000-0002-4159-6635 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-156764
DOI:	10.1117/1.JRS.13.016517
Journal or Publication Title:	J. Appl. Remote Sens.
Volume:	13
Number:	1
Date:	2019
Publisher:	SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
Place of Publication:	BELLINGHAM
ISSN:	1931-3195
Language:	English
Faculty:	Faculty of Mathematics and Natural Sciences
Divisions:	Faculty of Mathematics and Natural Sciences > Department of Geosciences > Geographisches Institut
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language FOOD SECURITY; GOOGLE EARTH; DYNAMICS; AREAS; RESOLUTION; URBANIZATION; PATTERNS; GROWTH; ROME; CITY Multiple languages Environmental Sciences; Remote Sensing; Imaging Science & Photographic Technology Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/15676