Desertification monitoring for Hainan diggings based on geostatistical texture
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摘要: 多年來,由于對鈦礦的無序開采,使得海南島東部出現大面積的土地荒漠化.采用遙感的手段進行跟蹤監測,合理地授予采礦權,組織適當的復墾,是解決當地荒漠化的有效途徑.基于不同沙地類型在地表空間結構上的差異,提出將基于地質統計學的影像紋理應用到荒漠化監測中,通過變異函數紋理來加大各種不同類別沙地間的區別,提高樣本選擇的分離度.結果表明,運用變異函數紋理結合光譜波段的最大似然分類方法能夠很好地界定海灘沙地和內陸荒漠地的等級,最高分類精度達到92.4%,證明了基于地質統計學的影像紋理在實現該地區遙感荒漠化監測方面的有效性.Abstract: There is great desertification in the east of Hainan Island of China due to over-mining of ilmenites. The effective methods to combat desertification are monitoring the change of land with remote sensing, licensing the rights of mining ilmenites rationally, and organizing the moderate reclaim. Based on the difference of sandy land types on the spatial constructions, geostatistical texture was used to monitor desertification, and the discrimination degree of sample selection could be increased by using variogram texture to increase the difference of different kinds of sandy land. The results show that the maximum likelihood classification based on variogram texture and spectral bands can perfectly define the grades of beach sandy land and inner desertification, and the maximal classification precision comes up to 92.4%, which proves that geostatistical texture is effective in the application of desertification monitoring.
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Key words:
- desertification /
- sandy land /
- geostatistical /
- texture /
- variogram
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