Estimation of salt pond area in Madura based on satellite imagery
Salt is one of the essential commodities in Madura. Still, this commodity is often a problem related to the volume of production that cannot be determined with certainty. Sometimes, the estimation and actual production in the field is much different. The satellite image is a picture of an area photo...
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| Veröffentlicht in: | IOP conference series. Earth and environmental science 2021-11, Vol.924 (1), p.12064 |
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| creator | Mu’tamar, M F F Firmansyah, R A Ulya, M |
| description | Salt is one of the essential commodities in Madura. Still, this commodity is often a problem related to the volume of production that cannot be determined with certainty. Sometimes, the estimation and actual production in the field is much different. The satellite image is a picture of an area photographed by satellite remote sensing of an area according to conditions in the field. Satellite imagery can be used to estimate the area of production of a commodity at a specific location. This study aimed to estimate the total area of salt pond in the Madura Island, specifically Sampang district, using a Landsat 8 satellite image. The method used spectral analysis that extracts multispectral data Landsat 8 to result from different areas. Field observations were conducted to validate the area. The results show that the accuracy of satellite image interpretation of salt ponds and non-salt ponds was 67.5%. Based on the result, it is possible to estimate salt pond area production in the Sampang district using Landsat 8. However, classification results must be improved by using other classification methods. |
| doi_str_mv | 10.1088/1755-1315/924/1/012064 |
| format | Article |
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Still, this commodity is often a problem related to the volume of production that cannot be determined with certainty. Sometimes, the estimation and actual production in the field is much different. The satellite image is a picture of an area photographed by satellite remote sensing of an area according to conditions in the field. Satellite imagery can be used to estimate the area of production of a commodity at a specific location. This study aimed to estimate the total area of salt pond in the Madura Island, specifically Sampang district, using a Landsat 8 satellite image. The method used spectral analysis that extracts multispectral data Landsat 8 to result from different areas. Field observations were conducted to validate the area. The results show that the accuracy of satellite image interpretation of salt ponds and non-salt ponds was 67.5%. Based on the result, it is possible to estimate salt pond area production in the Sampang district using Landsat 8. 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However, classification results must be improved by using other classification methods.</description><subject>Classification</subject><subject>Commodities</subject><subject>Landsat</subject><subject>Landsat satellites</subject><subject>Ponds</subject><subject>Remote sensing</subject><subject>Salts</subject><subject>Satellite imagery</subject><subject>Satellites</subject><subject>Spectral analysis</subject><subject>Spectrum analysis</subject><issn>1755-1307</issn><issn>1755-1315</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFkF1LwzAUhoMoOKd_QQLeeFObNF_N5Rh1ChMv1OtwuiTSUduadBf792ZUJoLgVQ7ked9zeBC6puSOkrLMqRIio4yKXBc8pzmhBZH8BM2OH6fHmahzdBHjlhCpONMztKji2HzA2PQd7j2O0I546DuLITjATYefwO4C4BqiszhBEUbXts3ocIq9u7C_RGce2uiuvt85eruvXpcP2fp59bhcrLNNITXPCtBgSykFY9YTtXG1FVp5Kih4zkF76RRYIZUDz2TNalFSWlDtHHegpGZzdDP1DqH_3Lk4mm2_C11aaQpJtGKMa5YoOVGb0McYnDdDSIeGvaHEHHSZgwlzsGKSLkPNpCsFb6dg0w8_zVX18gszg_UJLf5A_-n_AjMfeBA</recordid><startdate>20211101</startdate><enddate>20211101</enddate><creator>Mu’tamar, M F F</creator><creator>Firmansyah, R A</creator><creator>Ulya, M</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope></search><sort><creationdate>20211101</creationdate><title>Estimation of salt pond area in Madura based on satellite imagery</title><author>Mu’tamar, M F F ; Firmansyah, R A ; Ulya, M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2694-2a9ad866533df07cebd597f151af44a9f6e7ad567eaf36b3b5811219ee4ea7693</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Classification</topic><topic>Commodities</topic><topic>Landsat</topic><topic>Landsat satellites</topic><topic>Ponds</topic><topic>Remote sensing</topic><topic>Salts</topic><topic>Satellite imagery</topic><topic>Satellites</topic><topic>Spectral analysis</topic><topic>Spectrum analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mu’tamar, M F F</creatorcontrib><creatorcontrib>Firmansyah, R A</creatorcontrib><creatorcontrib>Ulya, M</creatorcontrib><collection>Institute of Physics Open Access Journal Titles</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Environmental Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Environmental Science Collection</collection><jtitle>IOP conference series. 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| subjects | Classification Commodities Landsat Landsat satellites Ponds Remote sensing Salts Satellite imagery Satellites Spectral analysis Spectrum analysis |
| title | Estimation of salt pond area in Madura based on satellite imagery |
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