基于定量遥感的绿洲土壤盐渍化研究(英文)

丁建丽

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基于定量遥感的绿洲土壤盐渍化研究(英文)

更新时间：2026-01-21

- 基于定量遥感的绿洲土壤盐渍化研究(英文)
- Journal of Xinjiang University (Natural Science Edition in Chinese and English) Vol. 27, Issue 4, Pages: 387-396(2010)
- 作者机构：
  
  新疆大学资源与环境科学学院绿洲生态教育部重点实验室
- 作者简介：
- 基金信息：
- DOI：
  CLC： S156.4
- Published：2010
- 稿件说明：
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[1]丁建丽.基于定量遥感的绿洲土壤盐渍化研究(英文)[J].新疆大学学报(自然科学版),2010,27(04):387-396.

丁建丽. 基于定量遥感的绿洲土壤盐渍化研究(英文)[J]. Journal of Xinjiang University (Natural Science Edition in Chinese and English), 2010, 27(4): 387-396.
[1]丁建丽.基于定量遥感的绿洲土壤盐渍化研究(英文)[J].新疆大学学报(自然科学版),2010,27(04):387-396. DOI：

丁建丽. 基于定量遥感的绿洲土壤盐渍化研究(英文)[J]. Journal of Xinjiang University (Natural Science Edition in Chinese and English), 2010, 27(4): 387-396. DOI：

摘要

土壤盐渍化是干旱、半干旱农业区主要的土地退化问题

同时也是一个重要的环境问题。选取塔里木盆地南缘克里雅河流域绿洲为研究靶区

利用Landsat-ETM+卫星图像数据和野外调查数据分析盐渍化土壤与地表反照率(Albedo)、土壤盐分指数(SI)之间的关系。回归分析发现

盐渍化土壤在SI-Albedo特征空间分布具有显著规律

即非盐渍化土壤呈团状分布;轻、中度盐渍化土壤具有线性分布特征;非盐渍化土壤与轻度盐渍化土壤分异明显。结合分异规律

编制分类算法模型

得到研究区盐渍化土壤信息提取结果

并与传统监督最大似然分类法结果进行对比分析。结果表明

在SI-Albedo特征空间中定量快速提取盐渍化土壤信息的总体效果较好

对准确且自动提取干旱区盐渍化土壤信息以及区域尺度盐渍化遥感定量监测研究具有重要意义。

Abstract

Soil salinization is an important worldwide environmental problem

especially in arid and semi-arid regions.Knowledge of its temporal and spatial variability is crucial for the management of oasis agriculture.Yutian County was selected for this study because of its importance as a significant site for agricultural development.Located in the south of the Keriya oasis

it has recently been exposed to severe soil salinization.Thematic Mapper-plus(ETM+) images dated October 7

2002 were used against the data of soil features obtained from field investigation and analysis of typical soil information

to extract Salinization Index (SI) and land surface albedo

which are very important biophysical parameters of land surface.In this paper the relationship between salinization index (SI) and albedo was analyzed quantitatively.Through experiment and theoretical reasoning

the author proposed a conception of SI-Albedo space and discussed its biophysical characteristics.Analysis revealed that location could be used to improve the current strategies for salinization in the SI-Albedo space

and hence the strategies for salinization mapping

by defining measurements in this feature space.An information extraction model

using the decision-tree classification method

was established and applied to classification of RS images.Results indicate that the classification based on SI-Albedo space has a higher classification accuracy than the one based on maximum likelihood.Its highest overall-accuracy is about 0.921 4% higher than the maximum likelihood.Although both techniques show some mix-class phenomena in the classification result

but the classification based on SI-Albedo space has less than the maximum likelihood

and thus a higher separability.Based on the salinized soil map

the salinity soil early-warning line was derived for anticipating further soil degradation.Such contrasting and complementary behavior suggests a potential synergism between salinization index and land surface albedo for mapping and monitoring of a complex soil salinization environment such as Keriya oasis.

关键词

Keywords

references

Zhu T Y. Soil Salinization Control In Irrigation Area (In Chinese)[M]. Beijing: Agricultural Press,1992,32-38.

Yao R J,Yang J S,Liu G M. Characteridtics and agro-biological management of saline-alkalized land in northeast China (In Chinese)[J]. Soils, 2006,38(3):256-262.

Rao B R M,Ravisankar T,Dwivedi R S,et al. Spectral behaviors of salt-affected soils[J]. International Journal of Remote Sensing,1995,16(12):2125-2136.

Metternicht G I. Remote sensing of soil salinity-potentials and constraints[J]. Remote Sensing of Environment,2003,85:1-20.

McGowen I,Mallyon S. Detection of dry land salinity using single and multi-temporal landsat imagery[J]. Proceedings of the 8th Australasian Remote Sensing Conference,Canberra,1996,26-34.

Peng W L,Li T J. The effect of Kauth-Thomas transformation of TM data in the analysis of saline soil-An example in Yang Gao Basin (In Chinese)[J]. Remote Sensing of Environment,1989,4(3): 183-190

Ding H,Wang R C,Wu J P,et al. Quantifying land use change in Zhejiang coastal region,china using multi-temporal landsat TM/ETM+ images[J]. Pedosphere,2007,17(6):712-720.

Luo Y X. Soil salinization grade using TM images based on GIS (In Chinese)[J]. Remote Sensing Information,2001,4:12-15.

Guan Y X,Liu G H,Liu Q S,et a1. The study of salt affected soils in the Yellow River delta based on remote sensing (In Chinese)[J]. Journal of Remote Sensing,2001,5(1):46-51.

Xue Y J,Hu Y M,Liu S G,et al. Improving land resource evaluation using fuzzy neural network ensembles[J]. Pedosphere,2007,17(4):429- 435.

Niu B R. Extraction of remote sensing information of surface salt accumulation in the upper reaches of the Tarim River (In Chinese)[J]. Acta Pedologica Sinica,2005,42(4):674-677.

Yutian County Commission. ed. Records of Yutian County (In Chinese)[M]. Xinjiang: Xinjiang People’s Publishing House,2006,94-140.

Tian C Y,Song Y D. Land degradation and its control measures in Xinjiang (In Chinese)[J]. Arid Zone Research,1997,14:63-67.

Ghulam Abduwasit,Qin Q M,Zhu L J. 6S model based atmospheric correction of visible and near infrared data and sensitivity analysis (In Chinese)[J]. Acta Scientiarum Naturalium Universitatis Pekinensis,2004,40(4):611-618.

Khan N M,Rastoskuev V,Sato Y,et al. Assessment of hydrosaline land degradation by using a simple approach of remote sensing indicators[J]. Agricultural Water Management,2005,77:96-109.

Liang S. Narrowband to broadband conversions of land surface albedo I: Algorithms[J]. Remote Sensing of Environment,2001,76 (2):213- 238.

Metternichit G,Zinck J A. Spatial discrimination of salt-and sodium-affected soil surfaces[J]. International Journal of Remote Sensing,1997,18(12):2571-2586.

Khan N M,Sato Y. Monitoring hydro-salinity status and its impact in irrigated semi-arid areas using IRS-1B LISS-II data[J]. Asian J. Geoin- form,2001,1(3):63-73.

Zhang Q,Wang S. Research of laws of water and heat balance and annual variation rule of surface radiation in arid areas (In Chinese)[J]. Progress in Natural Science,2007,2:211-216.

Zeng Y N,Xiang N P,Feng Z D,et al. Albedo-NDVI space and remote sensing synthesis index models for desertification monitoring (In Chinese)[J]. Scientia Geographica Snica,2006,26(1):75-81.

Xu J H,Xu R S,Xia B,et al. Research advances on soil monitoring by remote sensing (In Chinese)[J]. Research of Soil And Water Conserva- tion,2006,13(2):17-20.

Ma J Z,Zhu Z H,Li J J. The role of groundwater in the fragile ecology in the south of taklimakan desert (In Chinese)[J]. Journal of Lanzhou University(Natural Sciences),2000,36(4):88-95.

The Study On Arid Land Environmental Change And Application Of Remote Sensing (In Chinese)[M]. Urumqi: Xinjiang University Press, 2001,41-44.

Tashpolat Tiyip,Zhang F,Zhao R,et al. Selected methods and empirical analysis of extracting salinization information in the arid area of Xinjiang (In Chinese)[J]. Chinese Journal of Soil Science,2007,38(4):625-630.

Jiang H N,Tashpolat·Tiyip,Xu Y C,et al. Study on remote sensing monitoring of soil salinization in arid areas (In Chinese)[J]. Arid Zone Research,2007,24(2):168-173.

Fung T,LeDrew E F. The determination of optimal threshold levels for change detection using various accuracy indices[J]. Photogram metric Engineering & Remote Sensing,1988,54(10):1449-1454.

Ladenburger C G,Hild A L,Kazmer D J,et a1. Soilsalinity patterns in Tamarix invasions in the Bighorn Basin,Wyoming,USA[J]. Journal of Arid Environment,2006,65(1):111-128.

Metternicht G. Analysing the relationship between ground based reflectance and environmental indicators of salinity processes in the cochabamba valleys (Bolivia)[J]. International Journal of Ecology and Environmental Sciences,1998,24:359-370.

Jia H F,Liu X H,et al. eds. Principle and Application of Environmental Remote Sensing (In Chinese)[M]. Beijing: Tsinghua University Press, 2006,15-28.

Ding J L,Tashpolat Tiyip,Xiong H G,et al. Study of oasis desertitlcation dynmic change in the south of tarim basin (In Chinese)[J]. Journal of Remote Sensing,2002,6(1):56-63.

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