MODIS卫星影像显示的2001-2017年中国荒漠化年度状况

doi:10.7522/j.issn.1000-694X.2019.00023

摘要/Abstract

摘要： 年度监测是及时掌握荒漠化动态的有效方法。以MODIS卫星影像为数据源，依据荒漠化土地特征和荒漠化遥感监测指标选取原则，选取了能够基于中低分辨率MODIS卫星数据反演的4个遥感监测指标，将原国家林业局第三次荒漠化监测结果与MODIS反演的4个遥感监测指标的栅格图进行叠加，参照各监测指标在不同荒漠化程度等级下的像元值，得到各指标荒漠化程度判别值。根据原国家林业局荒漠化监测气候分区规定，基于各监测指标判别值，应用决策树分类方法，实现了中国不同气候区域2001-2017年的荒漠化状况年度监测。以2009年原国家林业局第四次中国荒漠化土地监测结果与本文年度监测结果对比，吻合度达92.62%。

关键词: 荒漠化, MODIS影像, 遥感, 年度监测

Abstract: The annual monitoring of desertification provides us an effective method to grasp the dynamics of desertification in time. Taking MODIS satellite image as data source, according to desertification land characteristics and the principle of selecting desertification remote sensing monitoring indicators, four remote sensing monitoring indicators which can be retrieved from low and medium resolution MODIS satellite data are selected. The results of the third desertification monitoring by the former State Forestry Administration and the raster maps of four remote sensing monitoring indicators retrieved by MODIS are superimposed. The pixel values under different desertification degree levels are used to obtain the discriminant values of desertification degree for each index. According to the climate zoning regulations of desertification monitoring of the former State Forestry Administration, based on the discriminant values of monitoring indicators, the annual monitoring results of desertification in different climatic regions of China from 2001 to 2017 are realized by using decision tree classification method. By comparing the results of the fourth China desertification land monitoring in 2009 with the annual monitoring results in this paper, the coincidence is 92.62%.

Key words: desertification, MODIS image data, remote sensing, annual monitoring

中图分类号:

P627
P931.3

李志鹏, 曹晓明, 丁杰, 冯益明. MODIS卫星影像显示的2001-2017年中国荒漠化年度状况[J]. 中国沙漠, 2019, 39(6): 135-140.

Li Zhipeng, Cao Xiaoming, Ding Jie, Feng Yiming. Annual Desertification during 2001-2017 in China Based on MODIS Satellite Images[J]. Journal of Desert Research, 2019, 39(6): 135-140.

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