CHEN Rui, ZHAO Chao, LIU Xingran, GUO Ying, SHEN Yanjun. Land classification and spatio-temporal changes of wheat and corn in the middle reaches oasis of Heihe using multi-satellite data[J]. Chinese Journal of Eco-Agriculture, 2018, 26(9): 1415-1422. DOI: 10.13930/j.cnki.cjea.180088
Citation: CHEN Rui, ZHAO Chao, LIU Xingran, GUO Ying, SHEN Yanjun. Land classification and spatio-temporal changes of wheat and corn in the middle reaches oasis of Heihe using multi-satellite data[J]. Chinese Journal of Eco-Agriculture, 2018, 26(9): 1415-1422. DOI: 10.13930/j.cnki.cjea.180088

Land classification and spatio-temporal changes of wheat and corn in the middle reaches oasis of Heihe using multi-satellite data

  • Study on land use/cover and crop planting structure in agricultural regions is critical for analyzing changes in agricultural production activities and the ecological environment. The middle reaches oasis of Heihe is one of the most important oases in Northwest China and it is also the main commodity grain production base in Gansu Province. The use of surface water in Heihe is huge and has resulted in excessive utilization of surface water in the middle reaches of Heihe. The shortage of water resources has led to the deterioration of ecological environment in the oasis area in the middle reaches of Heihe, which has in turn caused significant damage to the development of Heihe oasis and agriculture. In order to accurately study the temporal and spatial changes of the oases in the middle reaches of Heihe, this study used MODIS satellite data to analyze the time-space variation characteristics of oases in the middle reaches of Heihe for the period from 2001 to 2015. Based on the Landsat/TM of 2001-2016, land use classification for the oasis area was obtained using the support vector machine classification. Then based on the HJ1A/CCD data for 2011-2016, a fine classification of crop planting structure was obtained from the HANTS filtered NDVI time series curve. The reason for the difference in satellite data selection was due to the failure in data quality and the late launch of the satellites. The land use classification method had high accuracy, with classification result accuracy higher than 88.46% and kappa coefficient of 0.81. The classification accuracy of wheat and maize compared with field verification points was higher than 90.8%. The results showed that 1) the area of the oasis in the middle reaches of Heihe generally increased. With the exception of 2014 and 2015 when the area of oasis slightly reduced, it increased from 2 701 km2 in 2001 to 2 936 km2 in 2015. 2) For 2001-2016, the area of bare land reduced by 436.7 km2, that of cultivated land increased by 91.3 km2, then of grassland and woodland increased by 289.6 km2 and water body remained unchanged. 3) For 2011-2016, the planted area of wheat and corn decreased. Wheat total area decreased by 195.77 km2 and that of corn decreased by 144.37 km2. The results provided the basis and reference for adjustment of the local agricultural structure and crop yield estimation, and water resources and oasis ecology protection. The innovation point of the paper was that the area of oasis calculated based on area calculation formula for vegetation coverage. This correctly reflected the trend of change in the middle reaches of Heihe in the over 15-year period. It provided a new method for the calculation of oasis area, which greatly improved the accuracy of calculation when using low resolution (over 250 m) satellite data.
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