基于GIS和RS的新疆典型农区非耕地系数的应用研究  

Non-cultivated land coefficient of the typical agriculture area in Xinjiang based on GIS and RS

作　　者：冯雪力[1,2] 吴世新[1] 陈红[1,2] 

机构地区：[1]中国科学院新疆生态与地理研究所,新疆乌鲁木齐830011 [2]中国科学院研究生院,北京100049

出　　处：《干旱区地理》2010年第4期630-635,共6页Arid Land Geography

基　　金：中国科学院知识创新重大项目:耕地保育与持续高效现代农业试点工程-新疆后备耕地的潜力评价与开发模式(KZCX1-YW-09-10)

摘　　要：耕地中的非耕地是影响耕地面积遥感调查精度的主要因素。以2005年度中巴资源卫星数据和Quick B ird数据为信息源,通过对传统的分层抽样方法进行改进,采用GIS和RS技术对伊宁县耕地中的非耕地进行抽样计算,并利用加权法和平均法得到伊宁县非耕地系数的估计值,计算结果表明:研究区北部地区的非耕地系数为0.142 7,中部地区为0.084 0,南部地区为0.076 1。通过抽样检验,上述结果满足精度要求,可以应用于伊宁县或与伊宁县具有相似状况地区耕地面积的遥感调查,以提高其调查的精度。Timely and accurate estimations of cultivated land area at a national or provincial level are essential to management decisions of farmers and the government. Remote sensing technology is one of the most popular methods. Non-cultivated land in cultivated land is the key factor affecting monitoring cultivated land area using remote sensing technology on a large scale. The purpose of this study is how to get relatively accurate arable land area effectively by means of RS and sampling methods. In this paper, the conception of non-cultivated land coefficient was proposed to express the percentage of non-cultivated land in arable land. Accurate area of cultivated land could be gotten from calculating the approximate arable land area by using the non-cultivated land coefficient. Combined with remote sensing technology, stratified sampling methods can be used to study the non-cultivated land coefficient effectively. Taking Yining County, Ili Prefecture, Xinjiang, as a study area, the paper improved the traditional stratified sampling methods based on the CBERS and Quick Bird data in 2005, such as considering stratified characters, the number of strata, sample size assignment of each stratum and sampling strategy inside stratum, and then calculated the ratios of small features in Yining County farmland by GIS and RS technologies. Finally, the estimated value of the non-cultivated land coefficient can be acquired through two methods, one is mean method that regards the importance of sampling units as the same; another is weighting method that considers the importance of sampling units as difference. In this paper, the study area was divided into three parts according to the terrain differences ： the northern region, the central region and the southern region. Based on the platform of Arcgis, spatial database can be built to store the sampling data and calculate the non-cultivated land coefficient. It is time-saving that using the Quick Bird data to substitute for filed measurements. The results are as follows： non-cul

关 键 词：非耕地系数 分层抽样 新疆典型农区 GIS和RS 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]