南方红壤区林下水土流失的遥感判别——以福建省长汀县为例

doi:10.13249/j.cnki.sgs.2017.08.018

地理科学 ›› 2017, Vol. 37 ›› Issue (8): 1270-1276.doi: 10.13249/j.cnki.sgs.2017.08.018

南方红壤区林下水土流失的遥感判别——以福建省长汀县为例

徐涵秋^1,²(), 张博博^1,², 关华德³, 胡秀娟^1,², 陈明华⁴, 付伟^1,²

1.福州大学环境与资源学院/遥感信息工程研究所,福建福州 350116
2.空间数据挖掘与信息共享教育部重点实验室/福建省水土流失遥感监测评估重点实验室,福建福州 350116
3.澳大利亚弗林德斯大学环境学院,阿德莱德 5001 澳大利亚
4.福建省水土保持监测站,福建福州 350001

收稿日期:2016-08-09 修回日期:2017-01-10 出版日期:2017-08-15 发布日期:2017-08-15
作者简介:
作者简介：徐涵秋(1955-), 男, 博士,教授, 博士生导师,主要从事环境与资源遥感应用研究。E-mail: hxu@fzu.edu.cn
基金资助:
国家科技支撑项目 (2013BAC08B01-05)、福建省教育厅重点项目(JA13030)资助

Detection of Soil Erosion Area Under Forest Canopy in the Red Soil Region of Southern China Using Remote Sensing Techniques: Changting County, Fujian Province

Hanqiu Xu^1,²(), Bobo Zhang^1,², Huade Guan³, Xiujuan Hu^1,², Minghua Chen⁴, Wei Fu^1,²

1. College of Environment and Resources, Institute of Remote Sensing Information Engineering, Fuzhou University, Fuzhou 350116, Fujian, China
2. Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion, Fuzhou 350116, Fujian, China;
3. School of the Environment, Flinders University, Adelaide, SA 5001, Australia
4. Fujian Monitoring Station of Water and Soil Reservation, Fuzhou 350001, Fujian, China

Received:2016-08-09 Revised:2017-01-10 Online:2017-08-15 Published:2017-08-15
Supported by:
Key Technology Research and Development Program (2013BAC08B01-05), Key Research Project of Department of Education of Fujian Province (JA13030).

摘要/Abstract

摘要：

针对林下水土流失缺乏有效判别方法的问题,提出了一种遥感判别方法。该方法以植被覆盖度、植被健康度、土壤裸露度和坡度为判别因子,采用规则法来建立林下水土流失遥感判别模型,并将其应用于福建省长汀县。结果发现,长汀县有311.66 km²的林地发生不同程度的林下水土流失,其中有13.35%的土壤侵蚀强度达到中度。通过遥感方法识别出的林下水土流失区的空间分布位置可为该县今后深入治理水土流失提供目标靶区。

关键词: 林下水土流失, 规则判别, 遥感, 植被覆盖度, 植被健康状况

Abstract:

This study proposes a new rule-based method to locate soil erosion under moderate-to high-density forest canopy using remote sensing techniques. Five factors that are closely related to the soil erosion in forest are specially selected and used as discriminators to develop the discrimination rules. The selected five factors include fractional vegetation coverage, nitrogen reflectance index, yellow leaf index, bare soil index, and slope degree. The selection of these five factors aims to detect vegetation density, vegetation health status, soil exposure degree, and terrain steepness. These five factors can all be derived from remote sensing imagery based on related thematic indices or algorithms. The proposed method was applied to the forest areas in Changting County of Fujian Province, southern China. The Hetian town of the county is one of the most typical soil loss areas in the red soil regions in southern China. A Landsat 8 OLI image acquired on October 15, 2014, in-situ measured spectral data, and nutrient data from soil samples have been used as data sources for the study. The result reveals a total area of 311.66 km² of soil erosion in forest of the county. Of them, 13.35% is in moderate erosion intensity and the rest is in light erosion intensity. The accuracy assessment against ground truth indicates that the method can achieve an overall accuracy of 88.45%, with a Kappa coefficient of 0.731. The revealed locations of soil erosion in forest provide very useful information for Changting County to develop land management plans to further reduce soil loss in forest.

Key words: soil erosion in forest, discrimination rule, remote sensing, fractional vegetation coverage, vegetation health status

中图分类号:

TP751

徐涵秋, 张博博, 关华德, 胡秀娟, 陈明华, 付伟. 南方红壤区林下水土流失的遥感判别——以福建省长汀县为例[J]. 地理科学, 2017, 37(8): 1270-1276.

Hanqiu Xu, Bobo Zhang, Huade Guan, Xiujuan Hu, Minghua Chen, Wei Fu. Detection of Soil Erosion Area Under Forest Canopy in the Red Soil Region of Southern China Using Remote Sensing Techniques: Changting County, Fujian Province[J]. SCIENTIA GEOGRAPHICA SINICA, 2017, 37(8): 1270-1276.

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样地编号	样地名称	全氮含量(g/kg)	碱解氮含量(mg/kg)
1	石壁下标准地	0.633	21.194
2	三洲牌楼下	1.136	14.952
3	路虎科技协作区	0.678	14.571
4	梨岭	1.165	54.625
5	马坑垄	0.676	16.011
6	乌石岽挖穴	0.726	22.182
7	伯湖北坑	0.738	11.271
8	石官凹	0.722	16.219
9	罗地	0.898	30.432
10	梁角	1.155	38.945

	最小值	最大值	均值	标准差	R²
黄色波段	0.001	0.721	0.055	0.034	0.992
模拟黄色波段	0.003	0.766	0.054	0.032	0.992

南方红壤区林下水土流失的遥感判别——以福建省长汀县为例

Detection of Soil Erosion Area Under Forest Canopy in the Red Soil Region of Southern China Using Remote Sensing Techniques: Changting County, Fujian Province

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