利用SPOT4与SPOT5卫星数据目视解译黑龙江省水稻种植面积精度的对比分析

以黑龙江省桦川县水稻种植集中区域为示范区,选择8 km×8 km为试验样区,分别利用SPOT4（20 m）、SPOT5（10 m）数据对水稻播种面积进行人工目视解译,并结合地面实际测量获得道路、林带、沟渠等线状地物,最后利用GIS软件对数据进行综合分析,分别求得2种数据源的水稻提取结果,以Quick-Bird（0.61 m）的解译成果为真值进行对比分析。结果表明：工作区内SPOT4（20 m）与SPOT5（10 m）数据源解译数据误差在1.20%,在黑龙江省利用SPOT4（20 m）数据人工目视解译水稻种植面积与SPOT5（10 m）的数据精度相差不大,在实际水稻种植面积提取中可以利用SPOT4（20 m）数据代替SPOT5（10 m）数据。

Precision Analysis of Rice-planting Area in Heilongjiang Province by Visual Image Interpreting Applying Satellite SPOT4 and SPOT5 Images

Selecting rice-planting concentrative area of Huachuan County in Heilongjiang province as demonstration area,the experimental sample area was 8 km×8 km,rice-planting area was interpreted by applying SPOT4（20 m） and SPOT5（10 m） images respectively,and the experimental data were comprehensively analyzed by using the GIS software combining the linear features of actual ground measurement,such as road,forest belt,ditch.Finally,the rice extraction results of two types of data sources were obtained,The results showed that compared with the result of visual image interpretation applying QuickBird（0.61 m） images,the visual image interpretation error was 1.20% by applying satellite SPOT4（20 m） and SPOT5（10 m） images in the same experimental area.The difference between the precision of rice-planting area in Heilongjiang province by Visual Image Interpreting applying satellite SPOT4（20 m） and SPOT5（10 m） images was little.Actually,it could extract the rice-planting area applying SPOT4（20 m） instead of SPOT5（10 m）.