农情信息多种多样 ,来源不同 ,分散于各个部门或单位 ,缺乏相互交换与验证 ,综合分析与集成不够 ,特别是遥感信息为经济领域决策服务的渠道不通畅。为更好地应用各种信息 ,必须加强信息综合分析。对耕地面积、作物面积、作物单产、作物长势、粮食产量等几种农情信息中不同来源的信息进行了初步对比分析 ,肯定了遥感监测农情信息在客观性、时空连续性、可对比与可预测、低成本等几个方面的优势 ,同时也分析了遥感信息的不足和局限。认为遥感信息与其他信息不是互相替代的关系 ,而是互相补充、互相验证的关系。只有通过多源农情信息的综合分析和集成 ,才能更全面准确地反映农情。

Agricultural information is various and from different sources ,such as remote sensing monitoring, statistic data, market research, meteorological information, and in-situ measurement. These data distribute dispersedly in different government departments or units, and lack mutual exchange and validation, comprehensive analysis and organic integration. In order to take advantage of various kinds of data, comprehensive analysis should be strengthened. In this paper, agricultural information from various sources, such as cropland acreage, crop acreage, crop yield, crop growth and grain yield, is compared and analyzed preliminarily on the aspect of content and expression fashion,and statistic approach and so on. Compared agricultural information by remote sensing with other information, cropland acreage by remote sensing is accurate and credible. Crop growth monitored by remote sensing is much more direct and comprehensive. Crop acreage by remote sensing is larger than that by statistic data(statistic crop acreage maybe lesser). Crop yield of per units estimated by remote sensing is lower than statistic data(statistic data maybe higher). Crop yield estimated by remote sensing is approaching relatively to statistic data,but there is still difference. Crop yield estimated by remote sensing maybe higher,and by statistic data maybe lower . Through comparison of various agricultural information from different sources, it is affirmative that agricultural information by remote sensing has advantages in objectivity, spatio-temporal continuity, comparability, forecast-ability and lower cost. On the other hand, agricultural information by remote sensing has deficiency and localization. Though analysis in this paper it is indicated that both remote sensing information and other information are valuable in existence, and their accuracy need be enhanced. Different agricultural information could not be substituted they are complementary and validated for each other. In order to reflect agricultural circumstances more entirely and exactly, agricultural information from different sources should be comprehensively analyzed and integrated.