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Urban Expansion and the Loss of Prairie and Agricultural Lands: A Satellite Remote-Sensing-Based Analysis at a Sub-Watershed Scale

Author

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  • Opeyemi A. Zubair

    (Department of History, Sociology, Geography & GIS, Tarleton State University, Stephenville, TX 76401, USA)

  • Wei Ji

    (Department of Earth & Environmental Sciences, University of Missouri-Kansas City, Kansas City, MO 64110, USA)

  • Olusola Festus

    (Department of Earth & Environmental Sciences, University of Missouri-Kansas City, Kansas City, MO 64110, USA)

Abstract

Prairies or grasslands together with areas designated as agricultural lands are one of the largest types of land cover and land use that exist today. While prairies provide habitat to a wide variety of animals and organisms, and agricultural lands support human populations, these lands, especially those in the immediate vicinities of large urban areas, are giving way to urbanization at alarming rates. In particular, prairies are often viewed as wastelands because their benefit to the effective functioning of the urban ecosystem is often not fully understood. On the other hand, many agricultural lands are being converted for several urban uses because of the high economic returns from their sale. In this study, we classified SPOT (Satellite Pour l’Observation de la Terre) satellite data of the study area using the supervised maximum likelihood classification approach in order to investigate the loss of prairies and agricultural lands due to urban expansion in six sub-watersheds in the Kansas City metropolitan area of the States of Kansas and Missouri in the U.S. Based on the classified maps, we computed the magnitude and rate of urban expansion, and the proportion of loss in prairies and agricultural lands that was a result of urban expansion. Results from the 22-year study revealed that in all six sub-watersheds, agricultural lands and grassland were depleted at alarming rates with no sustainable effort to conserve them. These results provide baseline information that can support a data-driven and sustainable path for urban expansion in the examined sub-watersheds.

Suggested Citation

  • Opeyemi A. Zubair & Wei Ji & Olusola Festus, 2019. "Urban Expansion and the Loss of Prairie and Agricultural Lands: A Satellite Remote-Sensing-Based Analysis at a Sub-Watershed Scale," Sustainability, MDPI, vol. 11(17), pages 1-12, August.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:17:p:4673-:d:261577
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    References listed on IDEAS

    as
    1. Cohen, Barney, 2006. "Urbanization in developing countries: Current trends, future projections, and key challenges for sustainability," Technology in Society, Elsevier, vol. 28(1), pages 63-80.
    2. Opeyemi A. Zubair & Wei Ji & Trina E. Weilert, 2017. "Modeling the Impact of Urban Landscape Change on Urban Wetlands Using Similarity Weighted Instance-Based Machine Learning and Markov Model," Sustainability, MDPI, vol. 9(12), pages 1-24, December.
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    Cited by:

    1. Bao Meng & Xuxi Wang & Zhifeng Zhang & Pei Huang, 2022. "Spatio-Temporal Pattern and Driving Force Evolution of Cultivated Land Occupied by Urban Expansion in the Chengdu Metropolitan Area," Land, MDPI, vol. 11(9), pages 1-17, September.
    2. Olusola O. Festus & Wei Ji & Opeyemi A. Zubair, 2020. "Characterizing the Landscape Structure of Urban Wetlands Using Terrain and Landscape Indices," Land, MDPI, vol. 9(1), pages 1-25, January.
    3. Xueru Zhang & Jie Zhou & Wei Song, 2020. "Simulating Urban Sprawl in China Based on the Artificial Neural Network-Cellular Automata-Markov Model," Sustainability, MDPI, vol. 12(11), pages 1-13, May.
    4. Edith Olmos-Trujillo & Julián González-Trinidad & Hugo Júnez-Ferreira & Anuard Pacheco-Guerrero & Carlos Bautista-Capetillo & Claudia Avila-Sandoval & Eric Galván-Tejada, 2020. "Spatio-Temporal Response of Vegetation Indices to Rainfall and Temperature in A Semiarid Region," Sustainability, MDPI, vol. 12(5), pages 1-18, March.
    5. Vasilii Erokhin & Tianming Gao & Anna Ivolga, 2020. "Structural Variations in the Composition of Land Funds at Regional Scales across Russia," Land, MDPI, vol. 9(6), pages 1-39, June.

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