Hybrid classification of Landsat data and GIS for land use/cover change analysis of the Bindura district, Zimbabwe

被引:39
|
作者
Kamusoko, C. [1 ]
Aniya, M. [1 ]
机构
[1] Univ Tsukuba, Grad Sch Life & Environm Sci, Tsukuba, Ibaraki 3058572, Japan
关键词
COVER CHANGES; LIVELIHOOD DYNAMICS; DEFORESTATION; RESETTLEMENT; LANDSCAPE; ACCURACY; DELTA; AREA;
D O I
10.1080/01431160802244268
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Rapid land use/cover changes have taken place in many parts of Zimbabwe, including the Bindura district, mainly due to unequal land distribution during the colonial period, demographic pressure, agricultural expansion, government policies and environmental factors such as drought. This study monitored and analysed land use/cover changes in the Bindura district using Landsat data for 1973, 1989 and 2000 and discussed socioeconomic backgrounds for changes. A hybrid supervised/unsupervised classification approach coupled with geographical information systems (GIS) analyses was employed to generate land use/cover maps with six classes; agriculture, woodland, mixed rangeland, settlement, bare land and water. A post-classification comparison change detection technique revealed different trends in land use/cover changes over the two periods (1973-1989 and 1989-2000). During the colonial and pre-economic structural adjustment program (ESAP) independent period (1973-1989), the rates of agriculture and bare land changes were greater in the communal areas (CAs) than in the large-scale commercial farms (LSCF), with 'woodland to agriculture' and 'mixed rangeland to agriculture' conversions dominating. In contrast, land use/cover changes in the LSCF increased more than the CAs during the post-ESAP independent period (1989-2000), as 'woodland to agriculture', 'mixed rangeland to agriculture' and 'woodland to mixed rangeland' conversions dominated. The major land use/cover changes in the study area as derived from Landsat data are mainly due to the dynamic nature of agriculture practice such as extension of crop fields on one hand and the abandonment of croplands on the other hand, with additional factors such as wildfires and droughts. Observed trends in land use/cover changes indicate that deforestation and the encroachment of cultivation in woodland areas is a continuous trend in all the land tenure systems. Our results, therefore, suggest that an efficient and sustainable land use plan is required to reduce the rapid land use/cover changes, particularly the loss of woodland areas.
引用
收藏
页码:97 / 115
页数:19
相关论文
共 50 条
  • [21] Land-use/land-cover change analysis in part of Ethiopia using Landsat Thematic Mapper Data
    Dwivedi, RS
    Sreenivas, K
    Ramana, KV
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2005, 26 (07) : 1285 - 1287
  • [22] Land Cover Classification Using Landsat Data (Study Area: Pekan District, Pahang State, Malaysia)
    Bin Jamaruppin, Mohamad Eliyass
    Bayuaji, Luhur
    Pebrianti, Dwi
    2015 4TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND COMPUTER SYSTEMS (ICSECS), 2015, : 1 - 5
  • [23] A Hybrid Approach for Land Use/Land Cover Classification
    Tang, Yanbing
    Pannell, Clifton W.
    GISCIENCE & REMOTE SENSING, 2009, 46 (04) : 365 - 387
  • [24] THE USE OF LAND COVER CHANGE LIKELIHOOD FOR IMPROVING LAND COVER CLASSIFICATION
    Reis, Mariane S.
    Sant'Anna, Sidnei J. S.
    Dutra, Luciano V.
    Escada, Maria Isabel S.
    Pantaleao, Eliana
    2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2017, : 3222 - 3225
  • [25] Image classification with LiDAR and GIS-data - moving from land cover to land use
    Kressler, Florian
    Steinnocher, Klaus
    REMOTE SENSING FOR ENVIRONMENTAL MONITORING, GIS APPLICATIONS AND GEOLOGY VI, 2006, 6366
  • [26] Land-cover change monitoring with classification trees using Landsat TM and ancillary data
    Rogan, J
    Miller, J
    Stow, D
    Franklin, J
    Levien, L
    Fischer, C
    PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2003, 69 (07): : 793 - 804
  • [27] Discrete classification approach to land cover and land use change identification based on Landsat image time sequences
    Stow, Douglas A.
    Shih, Hsiao-Chien
    Coulter, Lloyd L.
    REMOTE SENSING LETTERS, 2014, 5 (10) : 922 - 931
  • [28] Tracking the Land Use/Land Cover Change in an Area with Underground Mining and Reforestation via Continuous Landsat Classification
    Mi, Jiaxin
    Yang, Yongjun
    Zhang, Shaoliang
    An, Shi
    Hou, Huping
    Hua, Yifei
    Chen, Fuyao
    REMOTE SENSING, 2019, 11 (14):
  • [29] VEGETATION ANALYSIS AND LAND USE LAND COVER CLASSIFICATION OF FOREST IN UTTARA KANNADA DISTRICT INDIA USING REMOTE SENSIGN AND GIS TECHNIQUES
    Koppad, A. G.
    Janagoudar, B. S.
    ISPRS WG IV/1 INTERNATIONAL CONFERENCE ON GEOMATIC AND GEOSPATIAL TECHNOLOGY 2017: GEOSPATIAL AND DISASTER MANAGEMENT, 2017, 42-4 (W5): : 121 - 125
  • [30] Land Use and Land Cover Change Detection and Prediction in the Kathmandu District of Nepal Using Remote Sensing and GIS
    Wang, Sonam Wangyel
    Gebru, Belay Manjur
    Lamchin, Munkhnasan
    Kayastha, Rijan Bhakta
    Lee, Woo-Kyun
    SUSTAINABILITY, 2020, 12 (09)