Digital Orthophoto Generation with Aerial Photographs

Rabiu, Lawali; Waziri, Dauda A.

doi:10.5901/ajis.2014.v3n7p133

Cited by 5 publications

(3 citation statements)

References 5 publications

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“…However, LiDAR remains costly with elongated timeframes to capture (Nelson and Grubesic, 2020) which could restrict its application in PV site selection. Conversely, aerial photogrammetry has developed significantly over recent years with increased spatial resolution (Pan et al, 2019) along with improved photogrammetric techniques (Rabiu and Waziri, 2014). Furthermore, aerial photogrammetry is often collected on a routine basis by national mapping agencies, thus providing regular updates at lower costs than LiDAR.…”

Section: Discussionmentioning

confidence: 99%

Investigating the suitability of GIS and remotely-sensed datasets for photovoltaic modelling on building rooftops

Gawley

McKenzie

2022

Energy and Buildings

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Section: Discussionmentioning

confidence: 99%

Investigating the suitability of GIS and remotely-sensed datasets for photovoltaic modelling on building rooftops

Gawley

McKenzie

2022

Energy and Buildings

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“…The aerial photos of 1996 (collected from Survey Department of Nepal) covering the study area were converted into Orthophoto (ERDAS, 2010). The orthophoto was used to derive land use (Lillesand et al, 2011;Lawali and Dauda, 2014) in 1996. WorldView 2 image of 2011 with 2 m multispectral spatial resolution and the 0.5 m panchromatic spatial resolution was used to obtain recent land use information.…”

Section: Methodsmentioning

confidence: 99%

Landscape dynamics in the northeast part of Andhikhola watershed, Middle hills of Nepal

2019

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Depopulation and increasing greenery due to agriculture land abandonment is general scenario in many highlands of Nepal in recent decades. High resolution remote sensing image is used in land use change analysis. Recently, object based image analysis technique has helped to improve the land use classification accuracies using object based image analysis. Thus, this study was carried out with high resolution image data sources and innovative technique of land use classification in the northeast part of Andhikhola watershed, in the Middle Hill of Nepal. Increasing greenery due to agriculture land abandonment in the hill slope is the major land use change. Secondly, increasing built-up area in lowland along the highway is another. Decreasing hill farmers is the major drivers of converting cultivated land into vegetated area and increasing built-up area is due to urbanization and shift of rural people from hill slope to lowland and accessible area. Converting cultivated land into forest, shrubs and grassland is at marginal land and remote areas which is mostly controlled by altitude, slope gradient and slope aspect. Additionally, land suitability and accessibility are also other important controlling factors.

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“…With the development of technology, digital photogrammetry has been widely adopted in almost all areas of mapping. Especially digital orthophotos and digital elevation models, which are photogrammetric products, are being intensively utilized by the private sector due to their easy interpretability (Rabiu & Waziri, 2014).…”

Section: Introductionmentioning

confidence: 99%

Comparison of Point Accuracies on Digital Elevation Model Obtained from Digital Air Photographs with Different Specifications

Yaman

Yilmaz

Bilgilioğlu

2019

International Journal of Environment and Geoinformatics

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Photogrammetry is a map production technique or science applied by measurements made from terrestrial images with terrestrial cameras or more commonly used images taken with airborne cameras. With the development of technology, digital photogrammetry has been widely adopted in almost all areas of mapping. Especially digital orthophotos and digital elevation models, which are photogrammetric products, are being intensively utilized by the private sector due to their easy interpretability. Digital photogrammetry is also a good method to automatically collect digital elevation models. Digital elevation model production is an important process in photogrammetry. A digital elevation model is an important product by itself as well as plays an important role in creating products such as orthophoto. The geometrical accuracy of digital elevation model used in geomatics applications is of even greater importance. In this study, three different digital elevation models were produced using digital aerial photographs of 7 cm, 15 cm and 25 cm ground sample distance taken in 2011 of Aksaray University campus area. Then, by using the heights measured by GPS and read the same heights from the digital elevation model, root mean square errors of ground control points, check points and tie points were calculated and compared with recommended standards. When the results are examined, it is seen that the values were close to and below the recommended values. Therefore, it can be seen that the digital elevation models produced with the aerial photographs taken at 7, 15 and 25 cm ground sample distances can be used for studies that do not require.

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Digital Orthophoto Generation with Aerial Photographs

Abstract: Orthophoto process transforms a vertical aerial photograph in to the

Cited by 5 publications

References 5 publications

Investigating the suitability of GIS and remotely-sensed datasets for photovoltaic modelling on building rooftops

Investigating the suitability of GIS and remotely-sensed datasets for photovoltaic modelling on building rooftops

Landscape dynamics in the northeast part of Andhikhola watershed, Middle hills of Nepal

Comparison of Point Accuracies on Digital Elevation Model Obtained from Digital Air Photographs with Different Specifications

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