Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/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
![]() |
ISSN | 2220-9964 |
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). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。