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LAND USE-COVER CHANGE TRAJECTORY AND IMPLICATION ON THE AGRICULTURAL AREAS OF SAO PAULO CITY: A GEOINFORMATICS APPROACH

Chukwudi Nwaogu, Babatunde Alabi, Nasir A. Uma, Bridget E. Diag, Victor A. Agidi, Chinwe G Onwuagb

First published: 2024-11-15https://doi.org/10.5593/sgem2024/2.1/s08.17View metrics

Abstract

Agricultural productivity and environmental changes can be greatly affected by agricultural and other land use. Mapping of vegetation and land cover is a fundamental way of managing the natural resources on the earth surface. To determine or study the crop productivities of any geographical location, agricultural land use is one of the crucial clues for reliable information. We aimed to investigate the effects of urbanization on agricultural lands in Sao Paulo city. A 30-year multi-temporal satellite imagery dataset from four distinct years were mapped: 1992 (Landsat TM), 2002 (Landsat ETM+), 2012 (Landsat ETM+), and 2022 (Sentinel) were collected and analyzed using geospatial tools. Identified land use were waterbody, settlement, agricultural land, wetland, and forest. Change detection analysis was performed using Erdas imagine software and future prediction was achieved by applying Idrisi selva 15 software. The result indicated between 1992 and 2022 settlement and wetland increased in areas while agricultural land, forest and waterbody decreased. These observed changes in the spatial pattern of LULC could be attributed to the encroachment and converted to other uses such as settlement and urban agriculture. The overall changes depicted in the evolution matrix and map demonstrated that, because of speculation practices, urbanization has primarily affected agricultural land use. Application of geospatial technologies (remote sensing and GIS) has proved effective in monitoring LULC changes and providing vital information for policy making in Sao Paulo City-s food (in)security and urban sustainable development.

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Publication details

Title
LAND USE-COVER CHANGE TRAJECTORY AND IMPLICATION ON THE AGRICULTURAL AREAS OF SAO PAULO CITY: A GEOINFORMATICS APPROACH
Authors
Chukwudi Nwaogu, Babatunde Alabi, Nasir A. Uma, Bridget E. Diag, Victor A. Agidi, Chinwe G Onwuagb
Proceedings
24th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2024, Informatics, Geoinformatics and Remote Sensing, Vol 24, Issue 2.1
Publisher
STEF92 Technology
Year
2024
Pages
131-138
SWS Citekey
Nwaogu20248131138
ISSN
1314-2704; 13142704
ISBN
9786197603699
Language
en
Publication type
Conference Paper
Proceedings contents
Open official contents
Keywords
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