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中国农学通报

中国农学通报 ›› 2015, Vol. 31 ›› Issue (2): 269-275.doi: 10.11924/j.issn.1000-6850.2014-1963

• 农业科技信息 • 上一篇    下一篇

基于Landsat-8的基本农田农作物植被覆盖度研究——以温宿县为例

王 欢,张永福,安放舟   

  1. (新疆大学资源与环境科学学院,乌鲁木齐 830000）
  • 收稿日期:2014-07-16 修回日期:2014-07-16 接受日期:2014-08-18 出版日期:2015-03-19 发布日期:2015-03-19
  • 通讯作者: 王欢

Basic Farmland Crops Vegetation Coverage Research Based on Landsat-8 Remote Sensing Data——A Case Study of Wensu

Wang Huan, Zhang Yongfu, An Fangzhou   

  1. (School of Resources and Environmental Sciences, Xinjiang University, Urumqi 830000)
  • Received:2014-07-16 Revised:2014-07-16 Accepted:2014-08-18 Online:2015-03-19 Published:2015-03-19

摘要： 为了提高基本农田划定和监测工作的效率，减少人力物力的耗费，利用Landsat-8遥感数据通过像元二分法估测农作物植被覆盖度，并与基本农田农用地分等成果对比进行定量分析。结果表明，研究区内植被覆盖度以中等覆盖度为主，即大多数地区的植被覆盖度在30%~50%，这与同期的外业调查情况相一致。对于研究区来说，中等覆盖度下的植被生长状况已达到鼎盛时期，中等覆盖度的比例也随农用地等级的提高而增多，而对于分布较少的高覆盖度和极低覆盖度地区，也呈现随着基本农田等别的提高而增多和减少的趋势。这说明利用Landsat-8遥感数据估计植被覆盖度来判定植物的生长状况，从而将Landsat-8遥感数据运用到基本农田的划定和监测工作中去是可行的。

关键词: Logistic模型, Logistic模型

Abstract: In order to improve the efficiency of basic farmland delineation and monitoring and reduce the cost of manpower and resources, the author used Landsat-8 remote sensing data by pixel dichotomy to estimate crops vegetation coverage, and compared the results with Basic Farmland Agricultural Land Classification through quantitative analysis. The results showed that, vegetation coverage in the study area mainly belonged to medium level, and in most regions the vegetation coverage was from 30% to 50%, which was in consistent with the outside investigation in the same period. For the study area, vegetation coverage under medium level had reached its peak, the proportion of medium coverage also grew with the advance of agricultural land level. As for the less distributed high-coverage and low coverage areas, there was a trend of improving along with basic farmland level increasing and decreasing. This showed that remote sensing data could be used to estimate the growth of vegetation coverage for determination of the status of the plant and remote sensing technology was feasible to be applied to basic farmland planning and monitoring.