LAND USE CLASSIFICATION AND LAND COVER ASSESSMENT USING ACCURACY MATRIX FOR DHAMTARI DISTRICT, CHHATTISGARH, INDIA

被引:0
|
作者
Khan, Farhan [1 ]
Das, Bhumika [2 ]
机构
[1] Rungta Coll Engn & Technol, Bhilai, India
[2] Mats Univ, Raipur, Madhya Pradesh, India
来源
关键词
Accuracy assessment; Land classification; Kappa coefficient; Land change; Chhattisgarh; Land cover; USE/LAND COVER; SURFACE TEMPERATURE; AREA; GIS; DYNAMICS; COASTAL; IMAGERY;
D O I
暂无
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
The land use land cover change monitoring is vital for planning, developing and managing of any region. The main aim of this study is to monitor Land use and land Cover ( LULC) changes of Dhamtari district of Chhattisgarh for the periods of 1999-2004, 2004-2009, 2009-2014, and 2014-2020. Landsat-8 and Landsat-5 data were used to generate LC map. The imageries were then used for supervised classification using maximum likelihood technique to prepare LULC maps. The change map of study area is for a time period of 1999-2020. This change map shows the change of one class to other. Five major classes viz; agriculture, barren land, forest area, urban area and water bodies have been identified. The forest and agriculture class are dominant in the study area. The LULC in the study area has experienced intricate changes over past two decades. The accuracy was assessed using google imageries and field verification, 200 random points were selected to verify the LULC map. The results Shows, agriculture, Forest, Urban area have increased by 25.60% (1037.9Km(2)), 42.60% (1728.2Km(2)), 23.60% ( 958Km(2)) while barren land and water bodies have decreased by 4.80% ( 194.2Km(2)) and 3.50% (141.6Km(2)) respectively. The average changes occurred in each class in last two decade from 1999-2020 are agriculture land 22%, barren land 22%, Forest 38%, urban land 15%, and water bodies changes to 3%. The results from the study will help the policy makers to understand the change trend and land management in the Dhamtari District.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] Accuracy assessment of land use/land cover classification in parts of Kadapa district (Andhra Pradesh, India), using remote sensing and GIS
    Rajasekhar, M.
    Raju, G. Sudarsana
    Raju, R. Siddi
    Ramachandra, M.
    Kumar, B. Pradeep
    [J]. JOURNAL OF INDIAN GEOPHYSICAL UNION, 2019, 23 (04): : 356 - 366
  • [2] Assessment of Land Use/Land Cover Change and NDVI Analysis in Wokha District, Nagaland, India
    Pathan, Shehnaj Ahmed
    Atomi, V
    [J]. HUMAN ECOLOGY, 2024, 52 (03) : 549 - 561
  • [3] Status of land cover classification accuracy assessment
    Foody, GM
    [J]. REMOTE SENSING OF ENVIRONMENT, 2002, 80 (01) : 185 - 201
  • [4] Land use/land cover and land surface temperature analysis in Wayanad district, India, using satellite imagery
    John, Jovish
    Bindu, G.
    Srimuruganandam, B.
    Wadhwa, Abhinav
    Rajan, Poornima
    [J]. ANNALS OF GIS, 2020, 26 (04) : 343 - 360
  • [5] ACCURACY ASSESSMENT OF GAME-BASED CROWDSOURCED LAND-USE/LAND COVER IMAGE CLASSIFICATION
    Pistorius, Theodor
    Poona, Nitesh
    [J]. 2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2014,
  • [6] Geometric Accuracy Assessment of Classified Land Use/Land Cover Changes
    Moeller, Markus
    Birger, Jens
    Glaesser, Cornelia
    [J]. PHOTOGRAMMETRIE FERNERKUNDUNG GEOINFORMATION, 2014, (02): : 91 - 100
  • [7] Improving the Accuracy of Land Use and Land Cover Classification of Landsat Data Using Post-Classification Enhancement
    Manandhar, Ramita
    Odeh, Inakwu O. A.
    Ancev, Tiho
    [J]. REMOTE SENSING, 2009, 1 (03) : 330 - 344
  • [8] 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.
    [J]. ISPRS WG IV/1 INTERNATIONAL CONFERENCE ON GEOMATIC AND GEOSPATIAL TECHNOLOGY 2017: GEOSPATIAL AND DISASTER MANAGEMENT, 2017, 42-4 (W5): : 121 - 125
  • [9] Evaluating the effects of spatial resolution on land use and land cover classification accuracy
    Mishra, Varun Narayan
    Prasad, Rajendra
    Kumar, Pradeep
    Gupta, Dileep Kumar
    Dikshit, Prabhat Kumar Singh
    Dwivedi, Shyam Bihari
    Ohri, Anurag
    [J]. 2015 INTERNATIONAL CONFERENCE ON MICROWAVE, OPTICAL AND COMMUNICATION ENGINEERING (ICMOCE), 2015, : 208 - 211
  • [10] Does environmental data increase the accuracy of land use and land cover classification?
    Zeferino, Leiliane Bozzi
    Tavares de Souza, Ligia Faria
    do Amaral, Cibele Hummel
    Fernandes Filho, Elpidio Inacio
    de Oliveira, Teogenes Senna
    [J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2020, 91