ARTICLES

Information Extraction of Thin Rivers around Built-up Lands with False NDWI

Expand
  • Institute of Remote Sensing and Digital Earth, CAS, Beijing 100101, China

Received date: 2013-04-07

  Revised date: 2013-07-19

  Online published: 2014-01-05

Abstract

The normalized difference water index (NDWI), (Green -NIR)/(Green+NIR), proposed by Mcfeeter, is widely used but easily to mix built-up land and water body due to the spectrum similarity on these two bands (green and near infrared reflection) between the two features (water body and built-up land). It is proposed by water indexes such as MNDWI, CIWI and NWI that importing mid-infrared (MIR) band could help solve the problem, as built-up lands have a higher value on MIR compared with NIR. However, more than half of the satellites have not a MIR band, such as Beijing-1 satellite, HJ-1A/B satellites, QuickBird, IKONOS, SPOT1-3 satellites and so on. A false normalized difference water index (FNDWI) has been proposed to fix the problem without access to MIR band. FNDWI replaces the green band in NDWI with a new FGreen (false green) band, which is created by adjusting the original green band with NIR band value. FNDWI has been tested with NDWI on five different typical regions, including urban, suburb, town, village, and non-built-up lands. The experiments reveal that FNDWI has depressed the value of built-up land, highlighted river water body, thus enhanced the differences between water and built-up land by 116% to 335% of NDWI, as well as remained the original NDWI difference between vegetation and water body. Also, it is found that there exits correlation between river width (measured by pixels) and difference enhancement from NDWI to FNDWI. Difference enhancement of thinner river areas is larger than that of wider river areas. Correlation coefficient between river width and difference enhancement reaches -0.82, indicating their apparent negative correlation. In urban, suburb and town regions, water extracting results using NDWI results are polluted by built-up land information while that using FNDWI is fairly clean. Above all, it is concluded that FNDWI is better than NDWI while extracting water bodies around built-up lands, especially on those thin rivers around urban areas.

Cite this article

ZHOU Yi, XIE Guanglei, WANG Shixin, WANG Feng, WANG Futao . Information Extraction of Thin Rivers around Built-up Lands with False NDWI[J]. Journal of Geo-information Science, 2014 , 16(1) : 102 -107 . DOI: 10.3724/SP.J.1047.2014.000102

References

[1] 王柳艳, 许有鹏, 余铭婧.城镇化对太湖平原河网的影响——以太湖流域武澄锡虞区为例[J].长江流域资源与环境, 2013(2):151-156.

[2] 陈云霞, 许有鹏, 付维军.浙东沿海城镇化对河网水系的影响[J].水科学进展, 2007(1):68-73.

[3] 王文种, 刘九夫, 谢自银, 等.遥感技术在全国第一次河流湖泊普查中的应用.中国科学:信息科学, 2011增刊(41):177-186.

[4] McFeeters S K. The use of normalized difference water index (NDWI) in the delineation of open water features[J]. International Journal of Remote Sensing, 1996, 17(7):1425-1432.

[5] Campos J C, Sillero N, Brito J C. Normalized difference water indexes have dissimilar performances in detecting seasonal and permanent water in the Sahara-Sahel transition zone[J]. Journal of Hydrology, 2013(486):464-465.

[6] Barrios J M, Verstraeten W W, Maes P, et al. Remotely sensed vegetation moisture as explanatory variable of Lyme borreliosis incidence[J].?International Journal of Applied Earth Observation and Geoinformation, 2012(18):1-12.

[7] Lu S L, Wu B F, Yan N N, et al. Water body mapping method with HJ-1A/B satellite imagery[J]. International Journal of Applied Earth Observation and Geoinformation, 2011(13):428-434.

[8] 徐涵秋.利用改进的归一化差异水体指数(MNDWI)提取水体信息的研究[J].遥感学报, 2005(5):589-595.

[9] 丁凤.一种基于遥感数据快速提取水体信息的新方法[J].遥感技术与应用, 2009(2):167-171.

[10] 吴际通, 谭伟, 喻理飞.基于TM/ETM+影像的不同水体指数对比研究[J].测绘科学, 2012, http://www.cnki.net/kcms/detail/11.4415.P.2012, 0816.0943.018.html.

[11] 陈蕾, 邓孺孺, 陈启东, 等.基于水质类型的TM图像水体信息提取[J].国土资源遥感, 2012(1):90-94.

[12] 杨树文, 薛重生, 刘涛, 等.一种利用TM影像自动提取细小水体的方法[J].测绘学报, 2010(39):611-617.

[13] 李玲, 周新志, 黄君.多结构元素组合型MODIS影像水体边缘检测[J].测绘科学, 2013(2):90-92.

[14] 莫伟华, 孙涵, 钟仕全, 等.MODIS水体指数模型(CIWI)研究及其应用[J].遥感信息, 2007(5):16-21.

[15] 都金康, 黄永胜, 冯学智, 等.SPOT卫星影像的水体提取方法及分类研究[J].遥感学报, 2001(3):214-219.

[17] 于欢, 张树清, 李晓峰, 等.基于TM影像的典型内陆淡水湿地水体提取研究[J].遥感技术与应用, 2008(3):310-315.

[18] 杜云艳, 周成虎.水体的遥感信息自动提取方法[J].遥感学报, 1998(4):264-269.

[19] 廖程浩, 刘雪华.MODIS数据水体识别指数的识别效果比较分析[J].国土资源遥感, 2008(4):22-26.

[20] 徐涵秋, 杜丽萍.遥感建筑用地信息的快速提取[J].地球信息科学学报, 2010, 12(4):574-579.

[21] 韩栋, 杨晓梅, 纪凯.小卫星遥感影像自动提取水体方法研究[J].测绘科学, 2008(1):51-54.

[22] 邬明权, 牛铮, 高帅, 等.渤海陆源入海排污口的多尺度遥感监测分析[J].地球信息科学学报, 2012, 14(3):405-410.

Outlines

/