基于植被指数的GF-1与Landsat-OLI石漠化识别能力对比评价

doi:10.11849/zrzyxb.20151393

Abstract

Abstract: Vegetation index is one of the major parameters in rocky desertification information extraction by using multi-source satellite images. Based on GF-1 and Landsat-OLI, this paper compared the detachability and detection ability of multiple vegetation indices with Euclidean distance between them, so as to choose an optimal parameter from satellite images and acquire the accurate rocky desertification information. It is proved that Landsat-OLI is better than GF-1 in classifying different grades of rocky desertification and separating rocky desertification region from non-desertification region, and it has 71 parameters with Euclidean distance value greater than the threshold value of 1.56. It is easy to distinguish the rocky desertification area from non-karst area through the Euclidean distance. When classifying different grades of rocky desertification, band difference and ratio are better than single spectral index. Finally, the recommended optimal vegetation index of rocky desertification information extraction from GF-1 images and Landsat-OLI images is NDVI, followed by GRNDVI.

Key words: euclidean distance, GF-1, Landsat-OLI, optimal vegetation index, rocky desertification

CLC Number:

Q948

ZHU Da-yun, XIONG Kang-ning, XIAO Hua, LAN Jia-cheng. Comparison of Rocky Desertification Detection Ability of GF-1 and Landsat-OLI Based on Vegetation Index[J].JOURNAL OF NATURAL RESOURCES, 2016, 31(11): 1949-1957.

References

[1] 熊康宁, 李晋, 龙明忠. 典型喀斯特石漠化治理区水土流失特征与关键问题 [J]. 地理学报, 2012, 67(7): 878-888.

[2] 袁道先, 章程. 岩溶动力学的理论探索与实践 [J]. 地球学报, 2008, 29(3): 355-365.

[3] 岳跃民, 王克林, 张兵, 等. 喀斯特石漠化信息遥感提取的不确定性 [J]. 地球科学进展, 2011, 26(3): 266-274.

[4] 白晓永, 王世杰, 陈起伟, 等. 贵州土地石漠化类型时空演变过程及其评价 [J]. 地理学报, 2009, 64(5): 609-618.

[5] 李阳兵, 罗光杰, 程安云, 等. 黔中高原面石漠化演变典型案例研究——以普定后寨河地区为例 [J]. 地理研究, 2013, 32(5): 828-838.

[6] 左太安, 刁承泰, 苏维词, 等. 毕节试验区石漠化时空演变过程和演变特征 [J]. 生态学报, 2014, 34(23): 7067-7077.

[7] 胡宝清, 蒋树芳, 廖赤眉, 等. 基于3S技术的广西喀斯特石漠化驱动机制图谱分析——以广西壮族自治区为例 [J]. 山地学报, 2006, 24(2): 234-241.

[8] 李森, 王金华, 王兮之, 等. 30 a来粤北山区土地石漠化演变过程及其驱动力——以英德、阳山、乳源、连州四县(市)为例 [J]. 自然资源学报, 2009, 24(5): 816-826.

[9] YANG T, CHEN X, XU C Y, et al. Spatio-temporal changes of hydrological processes and underlying driving forces in Guizhou region, Southwest China [J]. Stochastic Environmental Research and Risk Assessment, 2009, 23(8): 1071-1087.
[10] ZHONG S Q, LI Y H, WU C H, et al. TM and ETM image based monitoring on rocky desertification in region of the return farmland pasture or forest in Tiandong County Guangxi Provice, China [J]. Sensor Letters, 2012, 10: 1-2.
[11] LI S, WU H G. Mapping karst rocky desertification using Landsat 8 images [J]. Remote Sensing Letters, 2015, 6(9): 657-666.
[12] 李松,罗绪强. 基于多时相遥感的喀斯特石漠化监测研究 [J]. 中国农学通报, 2015, 31(11): 262-267.

[13] 熊康宁,黎平,周忠发,等. 喀斯特石漠化的遥感GIS典型研究 [M]. 北京: 地质出版社, 2002.

[14] 李阳兵, 白晓永, 周国富, 等. 中国典型石漠化地区土地利用与石漠化的关系 [J]. 地理学报, 2006, 61(6): 624-632.

[15] 李森, 董玉祥, 王金华. 土地石漠化概念与分级问题再探讨 [J]. 中国岩溶, 2007, 26(4): 279-284.

[16] 包刚, 包玉海, 覃志豪, 等. 高光谱植被覆盖度遥感估算研究 [J]. 自然资源学报, 2013, 28(7): 1243-1254.

[17] HILL M J, RENZULLO L J, GUERSCHMAN J P, et al. Use of vegetation index “fingerprints” from hyperion data to characterize vegetation states within land cover/land use types in an Australian tropical Savanna [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013, 6(2): 309-319.
[18] WU W C. The generalized difference vegetation index (GDVI) for dryland characterization [J]. Remote Sensing, 2014, 6: 1211-1233.
[19] 李丽, 童立强, 李小慧. 基于植被覆盖度的石漠化遥感信息提取方法研究 [J]. 国土资源遥感, 2010, 21(2): 59-62.

[20] 凌成星, 林辉, 薛晓坡, 等. 基于植被指数特征和空间分析的石漠化信息提取 [J]. 水土保持研究,2009, 16(1): 167-172.

[21] 杨奇勇, 蒋忠诚, 马祖陆, 等. 岩溶区峰丛洼地植被指数的克里格分析 [J]. 环境科学, 2012, 33(4): 1404-1408.

[22] 马华, 王云琦, 王力, 等. 近20 a广西石漠化区植被覆盖度与气候变化和农村经济发展的耦合关系 [J]. 山地学报,2014, 32(1): 38-45.

[23] 童立强. 西南岩溶石山地区石漠化信息自动提取技术研究 [J]. 国土资源遥感, 2003, 14(4): 35-38.

[24] 程乾,陈金凤. 基于高分1号杭州湾南岸滨海陆地土地覆盖信息提取方法研究 [J]. 自然资源学报, 2015, 30(2): 350-360.

[25] 张晰, 张杰, 孟俊敏. Landsat-OLI与GF-1卫星渤海海冰探测能力对比研究 [J]. 海洋科学, 2015, 39(2): 50-56.

[26] 肖时珍, 熊康宁, 蓝家程, 等. 石漠化治理对岩溶地下水水化学和溶解无机碳稳定同位素的影响 [J]. 环境科学, 2015, 36(5): 1590-1597.

[27] 杜阳. 基于贝叶斯分类器的最小欧氏距离图像检索相关反馈及DSP实现 [D]. 长春: 吉林大学, 2006.

[28] 贾玉秋, 李冰, 程永政, 等. 基于GF-1与Landsat-OLI多光谱遥感影像的玉米LAI反演比较 [J]. 农业工程学报, 2015, 31(9): 173-179.

Comparison of Rocky Desertification Detection Ability of GF-1 and Landsat-OLI Based on Vegetation Index

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