Analysis of Different Interpolation Methods for Soil Moisture Mapping Using Field Measurements and Remotely Sensed Data
In this research, we comparatively analyzed different interpolation methods to create soil moisture maps by using field measurements and remotely sensed data. Impacts of number and distribution of field measurements on interpolation procedure was also investigated. Soil moisture measurements of 36...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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IJEGEO
2016-12-01
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| Series: | International Journal of Environment and Geoinformatics |
| Subjects: | |
| Online Access: | http://dergipark.gov.tr/download/article-file/294322 |
| _version_ | 1797923485470687232 |
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| author | Mehmet Zeki İmamoğlu Elif Sertel |
| author_facet | Mehmet Zeki İmamoğlu Elif Sertel |
| author_sort | Mehmet Zeki İmamoğlu |
| collection | DOAJ |
| description | In this research, we comparatively analyzed different interpolation methods to create soil moisture maps by
using field measurements and remotely sensed data. Impacts of number and distribution of field measurements
on interpolation procedure was also investigated. Soil moisture measurements of 36 different locations
collected from Büyükçekmece water basin and RADARSAT-1 image of the same region obtained
simultaneously on 2nd of September 2010 to create soil moisture maps of the study region. Locations of 36
field measurement points were selected considering land use/cover, soil type, elevation, spatial distribution and
accessibility to transportation lines. 25 of sample points were used as Control Points (CPs) and used for soil
moisture map creation and 11 of them were reserved and used as Independent Check Points (ICPs) to validate
the accuracy of each approach applied. Two different experiments were conducted with 25 and 15 CPs to
analyze the impact of number and spatial distribution on interpolation. Inverse Distance Weighting (IDW),
Global Polynominal Interpolation (GPI), Local Polynominal Interpolation (LPI), Radial Basis Functions
(RBF), Kriging, Cokriging and regeression methods were applied to different combination of data sets to create
soil moisture maps and obtained results were compared. |
| first_indexed | 2024-04-10T14:46:55Z |
| format | Article |
| id | doaj.art-87c3a9c4ec2b47468c26ac38ef10f6b6 |
| institution | Directory Open Access Journal |
| issn | 2148-9173 2148-9173 |
| language | English |
| last_indexed | 2024-04-10T14:46:55Z |
| publishDate | 2016-12-01 |
| publisher | IJEGEO |
| record_format | Article |
| series | International Journal of Environment and Geoinformatics |
| spelling | doaj.art-87c3a9c4ec2b47468c26ac38ef10f6b62023-02-15T16:07:51ZengIJEGEOInternational Journal of Environment and Geoinformatics2148-91732148-91732016-12-0133112510.30897/ijegeo.306477Analysis of Different Interpolation Methods for Soil Moisture Mapping Using Field Measurements and Remotely Sensed DataMehmet Zeki İmamoğlu0Elif Sertel1Istanbul Technical University, Science and Technology Institute, Geomatics Engineering Programme, Maslak, İstanbuIstanbul Technical University, Civil Engineering Faculty, Geomatics Engineering Department, Maslak, İstanbul. In this research, we comparatively analyzed different interpolation methods to create soil moisture maps by using field measurements and remotely sensed data. Impacts of number and distribution of field measurements on interpolation procedure was also investigated. Soil moisture measurements of 36 different locations collected from Büyükçekmece water basin and RADARSAT-1 image of the same region obtained simultaneously on 2nd of September 2010 to create soil moisture maps of the study region. Locations of 36 field measurement points were selected considering land use/cover, soil type, elevation, spatial distribution and accessibility to transportation lines. 25 of sample points were used as Control Points (CPs) and used for soil moisture map creation and 11 of them were reserved and used as Independent Check Points (ICPs) to validate the accuracy of each approach applied. Two different experiments were conducted with 25 and 15 CPs to analyze the impact of number and spatial distribution on interpolation. Inverse Distance Weighting (IDW), Global Polynominal Interpolation (GPI), Local Polynominal Interpolation (LPI), Radial Basis Functions (RBF), Kriging, Cokriging and regeression methods were applied to different combination of data sets to create soil moisture maps and obtained results were compared.http://dergipark.gov.tr/download/article-file/294322GeoistatisticGISInterpolationRadarsat-1Soil Moisture |
| spellingShingle | Mehmet Zeki İmamoğlu Elif Sertel Analysis of Different Interpolation Methods for Soil Moisture Mapping Using Field Measurements and Remotely Sensed Data International Journal of Environment and Geoinformatics Geoistatistic GIS Interpolation Radarsat-1 Soil Moisture |
| title | Analysis of Different Interpolation Methods for Soil Moisture Mapping Using Field Measurements and Remotely Sensed Data |
| title_full | Analysis of Different Interpolation Methods for Soil Moisture Mapping Using Field Measurements and Remotely Sensed Data |
| title_fullStr | Analysis of Different Interpolation Methods for Soil Moisture Mapping Using Field Measurements and Remotely Sensed Data |
| title_full_unstemmed | Analysis of Different Interpolation Methods for Soil Moisture Mapping Using Field Measurements and Remotely Sensed Data |
| title_short | Analysis of Different Interpolation Methods for Soil Moisture Mapping Using Field Measurements and Remotely Sensed Data |
| title_sort | analysis of different interpolation methods for soil moisture mapping using field measurements and remotely sensed data |
| topic | Geoistatistic GIS Interpolation Radarsat-1 Soil Moisture |
| url | http://dergipark.gov.tr/download/article-file/294322 |
| work_keys_str_mv | AT mehmetzekiimamoglu analysisofdifferentinterpolationmethodsforsoilmoisturemappingusingfieldmeasurementsandremotelysenseddata AT elifsertel analysisofdifferentinterpolationmethodsforsoilmoisturemappingusingfieldmeasurementsandremotelysenseddata |