Methods of Land Cover Classification Using Worldview-3 Satellite Images in Land Management
Modern geoinformation technologies, such as remote sensing satellite missions and classification methods, are becoming increasingly prominent in land cover classification. Due to the emergence of high spatial resolution missions with improved temporal and spectral resolutions, such as Worldview-3, t...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
University North
2024-01-01
|
| Series: | Tehnički Glasnik |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/453401 |
| _version_ | 1797206152546615296 |
|---|---|
| author | Lovre Panđa Dorijan Radočaj Rina Milošević |
| author_facet | Lovre Panđa Dorijan Radočaj Rina Milošević |
| author_sort | Lovre Panđa |
| collection | DOAJ |
| description | Modern geoinformation technologies, such as remote sensing satellite missions and classification methods, are becoming increasingly prominent in land cover classification. Due to the emergence of high spatial resolution missions with improved temporal and spectral resolutions, such as Worldview-3, this approach enabled new possibilities in land management. To provide an in-depth analysis of such possibilities, this study reviews methods of land cover classification using WorldView-3 satellite imagery. With 29 different spectral channels and a spatial resolution of 1.2 m, Worldview-3 multispectral satellite images represent the most modern currently publicly available commercial multispectral images. The classification of multispectral images is performed to facilitate the identification and recognition of objects in the images. Analyzed classification methods are: supervised (semi-automatic) classification methods, unsupervised (automatic) classification methods, and object-based classification methods. In order to increase the accuracy in land cover studies, it was determined as necessary to develop automatic methods that rely on a combination of controlled and uncontrolled classification methods. This approach enables the automatic determination of samples for conducting supervised classifications of interest for land management. |
| first_indexed | 2024-04-24T09:02:28Z |
| format | Article |
| id | doaj.art-04f636fcd89a40ed9a64532ef408c358 |
| institution | Directory Open Access Journal |
| issn | 1846-6168 1848-5588 |
| language | English |
| last_indexed | 2024-04-24T09:02:28Z |
| publishDate | 2024-01-01 |
| publisher | University North |
| record_format | Article |
| series | Tehnički Glasnik |
| spelling | doaj.art-04f636fcd89a40ed9a64532ef408c3582024-04-15T19:20:29ZengUniversity NorthTehnički Glasnik1846-61681848-55882024-01-0118114214710.31803/tg-20221006135311Methods of Land Cover Classification Using Worldview-3 Satellite Images in Land ManagementLovre Panđa0Dorijan Radočaj1Rina Milošević2University of Zadar, Department of Geography Trg kneza Višeslava 9, 23000 Zadar, CroatiaFaculty of Agrobiotechnical Sciences Osijek, Vladimira Preloga 1, 31000 Osijek, CroatiaUniversity of Zadar, Department of Geography, Trg kneza Višeslava 9, 23000 Zadar, CroatiaModern geoinformation technologies, such as remote sensing satellite missions and classification methods, are becoming increasingly prominent in land cover classification. Due to the emergence of high spatial resolution missions with improved temporal and spectral resolutions, such as Worldview-3, this approach enabled new possibilities in land management. To provide an in-depth analysis of such possibilities, this study reviews methods of land cover classification using WorldView-3 satellite imagery. With 29 different spectral channels and a spatial resolution of 1.2 m, Worldview-3 multispectral satellite images represent the most modern currently publicly available commercial multispectral images. The classification of multispectral images is performed to facilitate the identification and recognition of objects in the images. Analyzed classification methods are: supervised (semi-automatic) classification methods, unsupervised (automatic) classification methods, and object-based classification methods. In order to increase the accuracy in land cover studies, it was determined as necessary to develop automatic methods that rely on a combination of controlled and uncontrolled classification methods. This approach enables the automatic determination of samples for conducting supervised classifications of interest for land management.https://hrcak.srce.hr/file/453401high-resolution imagerymultispectral imageryOBIAremote sensingsegmentationsupervised classification |
| spellingShingle | Lovre Panđa Dorijan Radočaj Rina Milošević Methods of Land Cover Classification Using Worldview-3 Satellite Images in Land Management Tehnički Glasnik high-resolution imagery multispectral imagery OBIA remote sensing segmentation supervised classification |
| title | Methods of Land Cover Classification Using Worldview-3 Satellite Images in Land Management |
| title_full | Methods of Land Cover Classification Using Worldview-3 Satellite Images in Land Management |
| title_fullStr | Methods of Land Cover Classification Using Worldview-3 Satellite Images in Land Management |
| title_full_unstemmed | Methods of Land Cover Classification Using Worldview-3 Satellite Images in Land Management |
| title_short | Methods of Land Cover Classification Using Worldview-3 Satellite Images in Land Management |
| title_sort | methods of land cover classification using worldview 3 satellite images in land management |
| topic | high-resolution imagery multispectral imagery OBIA remote sensing segmentation supervised classification |
| url | https://hrcak.srce.hr/file/453401 |
| work_keys_str_mv | AT lovrepanđa methodsoflandcoverclassificationusingworldview3satelliteimagesinlandmanagement AT dorijanradocaj methodsoflandcoverclassificationusingworldview3satelliteimagesinlandmanagement AT rinamilosevic methodsoflandcoverclassificationusingworldview3satelliteimagesinlandmanagement |