QUANTIFICATION OF LAND USE CHANGES IN COMPLEX CROPPING OF IRRIGATED INDUS BASIN, PAKISTAN USING MODIS VEGETATION TIME SERIES DATA

被引:1
|
作者
Cheema, Muhammad Jehanzeb Masud [1 ,2 ]
Ahmad, Mobin ud Din [3 ]
Khaliq, Tasneem [4 ]
Liaqat, Muhammad Usman [5 ]
Khan, Muhammad Mohsin [5 ]
Amin, Humera [6 ]
机构
[1] Univ Agr Faisalabad, CAS AFS, Faisalabad, Pakistan
[2] PMAS Arid Agr Univ, Fac Agr Engn & Technol, Rawalpindi, Pakistan
[3] CSIRO, Land & Water, Canberra, ACT, Australia
[4] Univ Agr Faisalabad, Dept Agron, Faisalabad, Pakistan
[5] Univ Agr Faisalabad, Dept Irrigat & Drainage, Faisalabad, Pakistan
[6] Univ Sargodha, Dept Sociol & Criminol, Sargodha, Pakistan
来源
关键词
LULC; irrigated Indus basin; MODIS; SAVI; rabi; kharif; crop phenology; change detection; WHEAT YIELD; PUNJAB PROVINCE; SOUTHEAST-ASIA; COVER; AGRICULTURE; INDEXES; MAP;
D O I
10.21162/PAKJAS/19.8134
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
Quantification of change in area under different crops is vital for conducting macro scale hydrological studies as spatial crop water use depends on type of crops grown. This becomes more challenging in areas with complex cropping systems like irrigated Indus basin of Pakistan. In this study, estimation of cropped area was carried out using Moderate Resolution Imaging Spectroradiometer (MODIS) vegetation time series at six-hectare spatial resolution i.e. Soil Adjusted Vegetation Index (SAW). Two cropping years i.e. 2002-03 and 2013-14 were selected to quantify cropped area as well as assess how the cropping systems had changed over a time span of eleven years. Each pixel was trained to assign the vegetation, a particular crop cluster. Four and five major crops were discerned for rabi (winter) and kharif (summer) seasons, respectively. Wheat is dominant rabi crop while rice (a high delta crop) and cotton are dominant kharif crops. Sugarcane is an annual crop and being grown in different tracts of the basin. A confusion matrix prepared for accuracy test shows an overall accuracy of 79% and 74% for rabi and kharif seasons, respectively. The Kappa coefficient (0.64 and 0.62) expresses moderate agreement between satellite-derived map and on ground situation. Change detection indicates that wheat area has been increased significantly 4.2 mha (38.3%) from 2002 to 2013. Rice and sugarcane have also shown a significant increase of 0.69 mha (26.3%) and 0.29 mha (21.8%), respectively during the time span of eleven years. However, it is highly cautious for water management planners due to higher delta of these crops. This study provides essential information for spatial distribution of major seasonal crops grown in water stressed irrigated Indus basin for efficient agricultural monitoring and water resources management.
引用
收藏
页码:489 / 498
页数:10
相关论文
共 50 条
  • [41] Monitoring and modelling land surface dynamics in Bermejo River Basin, Argentina: time series analysis of MODIS NDVI data
    Barraza, V.
    Grings, F.
    Salvia, M.
    Perna, P.
    Carbajo, A. E.
    Karszenbaum, H.
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2013, 34 (15) : 5429 - 5451
  • [42] Detecting Different Types of Directional Land Cover Changes Using MODIS NDVI Time Series Dataset
    Xu, Lili
    Li, Baolin
    Yuan, Yecheng
    Gao, Xizhang
    Zhang, Tao
    Sun, Qingling
    REMOTE SENSING, 2016, 8 (06):
  • [43] Decadal assessment of agricultural drought in the context of land use land cover change using MODIS multivariate spectral index time-series data
    Tran, Thuong V. V.
    Bruce, David
    Huang, Cho-Ying
    Tran, Duy X. X.
    Myint, Soe W. W.
    Nguyen, Duy B. B.
    GISCIENCE & REMOTE SENSING, 2023, 60 (01)
  • [44] Using Landsat data to determine land use changes in Datong basin, China
    Sun, Ziyong
    Ma, Rui
    Wang, Yanxin
    ENVIRONMENTAL GEOLOGY, 2009, 57 (08): : 1825 - 1837
  • [45] Mapping paddy rice planting areas through time series analysis of MODIS land surface temperature and vegetation index data
    Zhang, Geli
    Xiao, Xiangming
    Dong, Jinwei
    Kou, Weili
    Jin, Cui
    Qin, Yuanwei
    Zhou, Yuting
    Wang, Jie
    Menarguez, Michael Angelo
    Biradar, Chandrashekhar
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2015, 106 : 157 - 171
  • [46] Crop discrimination in Northern China with double cropping systems using Fourier analysis of time-series MODIS data
    Zhang Mingwei
    Zhou Qingbo
    Chen Zhongxin
    Liu Jia
    Zhou Yong
    Cai Chongfa
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2008, 10 (04) : 476 - 485
  • [47] Detecting the spatiotemporal changes of tidal flood in the estuarine wetland by using MODIS time series data
    Yan, Yan-Er
    Ouyang, Zu-Tao
    Guo, Hai-Qiang
    Jin, Shu-Song
    Zhao, Bin
    JOURNAL OF HYDROLOGY, 2010, 384 (1-2) : 156 - 163
  • [48] THE DYNAMICS OF GRASSLAND VEGETATION FRACTIONAL COVERAGE USING TIME-SERIES MODIS DATA IN GANNAN REGION OF CHINA
    Li, Wenlong
    Xu, Jing
    Wang, Hao
    2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2014,
  • [49] Mapping cropping patterns in irrigated rice fields in West Java']Java: Towards mapping vulnerability to flooding using time-series MODIS imageries
    Sianturi, Riswan
    Jetten, V. G.
    Sartohadi, Junun
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2018, 66 : 1 - 13
  • [50] Using Page's Cumulative Sum Test on MODIS Time Series to Detect Land-Cover Changes
    Grobler, T. L.
    Ackermann, E. R.
    van Zyl, A. J.
    Olivier, J. C.
    Kleynhans, W.
    Salmon, B. P.
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2013, 10 (02) : 332 - 336