Arid
DOI10.3390/ijgi5030035
Soil Moisture Mapping in an Arid Area Using a Land Unit Area (LUA) Sampling Approach and Geostatistical Interpolation Techniques
Gharechelou, Saeid1; Tateishi, Ryutaro1; Sharma, Ram C.1; Johnson, Brian Alan2
通讯作者Gharechelou, Saeid
来源期刊ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
ISSN2220-9964
出版年2016
卷号5期号:3
英文摘要

Soil moisture (SM) plays a key role in many environmental processes and has a high spatial and temporal variability. Collecting sample SM data through field surveys (e.g., for validation of remote sensing-derived products) can be very expensive and time consuming if a study area is large, and producing accurate SM maps from the sample point data is a difficult task as well. In this study, geospatial processing techniques are used to combine several geo-environmental layers relevant to SM (soil, geology, rainfall, land cover, etc.) into a land unit area (LUA) map, which delineates regions with relatively homogeneous geological/geomorphological, land use/land cover, and climate characteristics. This LUA map is used to guide the collection of sample SM data in the field, and the field data is finally spatially interpolated to create a wall-to-wall map of SM in the study area (Garmsar, Iran). The main goal of this research is to create a SM map in an arid area, using a land unit area (LUA) approach to obtain the most appropriate sample locations for collecting SM field data. Several environmental GIS layers, which have an impact on SM, were combined to generate a LUA map, and then field surveying was done in each class of the LUA map. A SM map was produced based on LUA, remote sensing data indexes, and spatial interpolation of the field survey sample data. The several interpolation methods (inverse distance weighting, kriging, and co-kriging) were evaluated for generating SM maps from the sample data. The produced maps were compared to each other and validated using ground truth data. The results show that the LUA approach is a reasonable method to create the homogenous field to introduce a representative sample for field soil surveying. The geostatistical SM map achieved adequate accuracy; however, trend analysis and distribution of the soil sample point locations within the LUA types should be further investigated to achieve even better results. Co-kriging produced the most accurate SM map of the study area.


英文关键词land unit area (LUA) map geospatial database spatial variability GIS geostatistic soil moisture mapping
类型Article
语种英语
国家Japan
收录类别SCI-E
WOS记录号WOS:000373367400014
WOS关键词LOESS PLATEAU
WOS类目Geography, Physical ; Remote Sensing
WOS研究方向Physical Geography ; Remote Sensing
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/193865
作者单位1.Chiba Univ, Ctr Environm Remote Sensing CEReS, Chiba 2638522, Japan;
2.Inst Global Environm Strategies, 2108-11 Kamiyamaguchi, Hayama, Kanagawa 2400115, Japan
推荐引用方式
GB/T 7714
Gharechelou, Saeid,Tateishi, Ryutaro,Sharma, Ram C.,et al. Soil Moisture Mapping in an Arid Area Using a Land Unit Area (LUA) Sampling Approach and Geostatistical Interpolation Techniques[J],2016,5(3).
APA Gharechelou, Saeid,Tateishi, Ryutaro,Sharma, Ram C.,&Johnson, Brian Alan.(2016).Soil Moisture Mapping in an Arid Area Using a Land Unit Area (LUA) Sampling Approach and Geostatistical Interpolation Techniques.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,5(3).
MLA Gharechelou, Saeid,et al."Soil Moisture Mapping in an Arid Area Using a Land Unit Area (LUA) Sampling Approach and Geostatistical Interpolation Techniques".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 5.3(2016).
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