Remote sensing land-cover change in Port Elizabeth during South Africa's democratic transition

被引:31
|
作者
Odindi, John [1 ]
Mhangara, Paidamwoyo [2 ]
Kakembo, Vincent [3 ]
机构
[1] Univ KwaZulu Natal, Sch Environm Sci, Pietermaritzburg, South Africa
[2] S African Natl Space Agcy, Pretoria, South Africa
[3] Nelson Mandela Metropolitan Univ, Dept Geosci, Port Elizabeth, South Africa
关键词
GEOGRAPHICAL INFORMATION-SYSTEMS; ACCURACY ASSESSMENT; SETTLEMENT CHANGE; URBAN POVERTY; APARTHEID; MIGRATION; IMAGERY; HEALTH; IMPACT; GROWTH;
D O I
10.4102/sajs.v108i5/6.886
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Urban population increase has caused significant urban landscape transformation globally. Before 1994, South Africa's highly regulated urban growth was shaped by the restrictive Prevention of Illegal Squatters Act of 1951. After the abolishment of the act in the 1980s, the period of transition to democracy in the 1990s was characterised by an unprecedented urban population influx that caused a myriad of socio-economic and environmental challenges. These challenges have consequently compounded the need to monitor urban growth for the planning and optimisation of urban spaces. The limitations of traditional mapping methods, such as surveying and photogrammetry, in urban mapping are well documented. In the recent past, satellite remote sensing has emerged as one of the most viable urban mapping tools. Using post-classification comparisons, we sought to monitor major land use and land cover (LULC) changes in the city of Port Elizabeth during South Africa's democratic transition (1990-2000). Images for 1990, 1995 and 2000 were acquired, geo-rectified and atmospherically corrected. An iterative self-organising data analysis (ISODATA) was then used to generate existing LULCs. Classes generated using ISODATA were then amalgamated to the city's major LULCs and resultant classes were validated using aerial photographs and field visits. Results showed that 'Built-up' and 'Bare surface' LULC classes had the highest increase and decrease, respectively. There was no change in the 'Beach or dune' LULC, whereas 'Green vegetation' and 'Water' classes had minimal changes. This study illustrates the efficacy of remote sensing in monitoring urban change and the potential of remote sensing to aid decision-making in rapidly changing urban landscapes.
引用
收藏
页码:60 / 66
页数:7
相关论文
共 50 条
  • [31] RSSFormer: Foreground Saliency Enhancement for Remote Sensing Land-Cover Segmentation
    Xu, Rongtao
    Wang, Changwei
    Zhang, Jiguang
    Xu, Shibiao
    Meng, Weiliang
    Zhang, Xiaopeng
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 32 : 1052 - 1064
  • [32] Land-cover survey in northeast China using remote sensing and GIS
    Huang Tieqing
    Liu Zhaoli
    Pan Yuchun
    Zhang Yangzhen
    Chinese Geographical Science, 1998, 8 (3) : 264 - 270
  • [33] INTEGRATING TOPOGRAPHIC DATA WITH REMOTE-SENSING FOR LAND-COVER CLASSIFICATION
    JANSSEN, LLF
    JAARSMA, MN
    VANDERLINDEN, ETM
    PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 1990, 56 (11): : 1503 - 1506
  • [34] Scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery
    Deng, Xueqing
    Zhu, Yi
    Tian, Yuxin
    Newsam, Shawn
    2021 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION WACV 2021, 2021, : 2159 - 2168
  • [35] Land Use and Land Cover Change in the Vaal Dam Catchment, South Africa: A Study Based on Remote Sensing and Time Series Analysis
    Obaid, Altayeb
    Adam, Elhadi
    Ali, K. Adem
    GEOMATICS, 2023, 3 (01): : 205 - 220
  • [36] Land-cover Classification and Change Assessment for Shijiazhuang City, North China, during 1987-2020 Based on Remote Sensing
    Song, Shi-Kai
    Wang, Lei -Bin
    Liu, Qiang
    Zhao, Yuan-Jie
    SENSORS AND MATERIALS, 2022, 34 (12) : 4289 - 4305
  • [37] Land-use and land-cover change, urban heat island phenomenon, and health implications: A remote sensing approach
    Lo, CP
    Quattrochi, DA
    PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2003, 69 (09): : 1053 - 1063
  • [38] MAPPING OF LAND-COVER CHANGE ANALYSIS IN MA'RIB AT YEMEN USING REMOTE SENSING AND GIS TECHNIQUES
    Al-Akad, Sultan
    Akensous, Youness
    Hakdaoui, Mustapha
    Al-Nahmi Fuad
    Mahyoub, Sulaiman
    Khanbari Khaled
    Swadi, Hassan
    5TH INTERNATIONAL CONFERENCE ON GEOINFORMATION SCIENCE - GEOADVANCES 2018: ISPRS CONFERENCE ON MULTI-DIMENSIONAL & MULTI-SCALE SPATIAL DATA MODELING, 2018, 42-4 (W12): : 1 - 10
  • [39] Median change vector analysis algorithm for land-use land-cover change detection from remote-sensing data
    Varshney, Avnish
    Arora, Manoj Kumar
    Ghosh, Jayanta Kumar
    REMOTE SENSING LETTERS, 2012, 3 (07) : 605 - 614
  • [40] Land use and land cover change as a consequence of the South African land reform program: A remote sensing approach
    Lidzhegu, Zwidofhelangani
    Palamuleni, Lobina Gertrude
    JOURNAL OF FOOD AGRICULTURE & ENVIRONMENT, 2012, 10 (3-4): : 1441 - 1447