Accuracy Comparison of VHR Systematic-Ortho Satellite Imageries Against VHR Orthorectified Imageries Using GCP

Widyaningrum, E.; Fajari, M. K.; Octariady, Jali

doi:10.5194/isprs-archives-xli-b1-305-2016

Cited by 3 publications

(2 citation statements)

References 3 publications

(1 reference statement)

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“…The horizontal accuracy of the orthorectified images is evaluated based on RMSE error value obtained by computing changes in the coordinate object at a very high-resolution DEM of 31 cm to the coordinate object in the orthoimage result. Equations ( 1), [22] are used to determine the RMSE for X and Y coordinates and RMSE horizontal ðX, YÞ, respectively.…”

Section: Resultsmentioning

confidence: 99%

Orthorectification of WorldView‐3 Satellite Image Using Airborne Laser Scanning Data

et al. 2021

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Satellite images have been widely used to produce land use and land cover maps and to generate other thematic layers through image processing. However, images acquired by sensors onboard various satellite platforms are affected by a systematic sensor and platform-induced geometry errors, which introduce terrain distortions, especially when the sensor does not point directly at the nadir location of the sensor. To this extent, an automated processing chain of WorldView-3 image orthorectification is presented using rational polynomial coefficient (RPC) model and laser scanning data. The research is aimed at analyzing the effects of varying resolution of the digital surface model (DSM) derived from high-resolution laser scanning data, with a novel orthorectification model. The proposed method is validated on actual data in an urban environment with complex structures. This research suggests that a DSM of 0.31 m spatial resolution is optimum to achieve practical results (root-mean-square error = 0.69 m ) and decreasing the spatial resolution to 20 m leads to poor results (root-mean-square error = 7.17 ). Moreover, orthorectifying WorldView-3 images with freely available digital elevation models from Shuttle Radar Topography Mission (SRTM) (30 m) can result in an RMSE of 7.94 m without correcting the distortions in the building. This research can improve the understanding of appropriate image processing and improve the classification for feature extraction in urban areas.

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Section: Resultsmentioning

confidence: 99%

Orthorectification of WorldView‐3 Satellite Image Using Airborne Laser Scanning Data

et al. 2021

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“…However, the direct georeferencing method that we applied referred that orthorectification was processed without ground control point (GCP) and independent checkpoints (ICP), resulting in a mild shift of location and take effect of Root Mean Square Error (RMSE) value. Although the shifting is about 2-2.5 m compared to orthorectification using GCP and ICP [41], in the future, we suggested applying GCP and ICP for similar analysis to increase geometric accuracy when resources allow. Other analyses to increase the degree of spatial data accuracy focused on verification of the area of paddy fields with annual crop rotation.…”

Section: Implications For Methodologymentioning

confidence: 99%

Groundwater-Extracting Rice Production in the Rejoso Watershed (Indonesia) Reducing Urban Water Availability: Characterisation and Intervention Priorities

Khasanah¹,

Tanika

Pratama³

et al. 2021

Land

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Production landscapes depend on, but also affect, ecosystem services. In the Rejoso watershed (East Java, Indonesia), uncontrolled groundwater use for paddies reduces flow of lowland pressure-driven artesian springs that supply drinking water to urban stakeholders. Analysis of the water balance suggested that the decline by about 30% in spring discharge in the past decades is attributed for 47 and 53%, respectively, to upland degradation and lowland groundwater abstraction. Consequently, current spring restoration efforts support upland agroforestry development while aiming to reduce lowland groundwater wasting. To clarify spatial and social targeting of lowland interventions five clusters (replicable patterns) of lowland paddy farming were distinguished from spatial data on, among other factors, reliance on river versus artesian wells delivering groundwater, use of crop rotation, rice yield, fertiliser rates and intensity of rodent control. A survey of farming households (461 respondents), complemented and verified through in-depth interviews and group discussions, identified opportunities for interventions and associated risks. Changes in artesian well design, allowing outflow control, can support water-saving, sustainable paddy cultivation methods. With rodents as a major yield-reducing factor, solutions likely depend on more synchronized planting calendars and thus on collective action for effectiveness at scale. Interventions based on this design are currently tested.

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The application of mask R-CNN for building extraction

Susetyo,

Harintaka,

Rizaldy

2023

Machine Learning and Information Processing: Proceedings of Icmlip 2023

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Accuracy Comparison of VHR Systematic-Ortho Satellite Imageries Against VHR Orthorectified Imageries Using GCP

Cited by 3 publications

References 3 publications

Orthorectification of WorldView‐3 Satellite Image Using Airborne Laser Scanning Data

Orthorectification of WorldView‐3 Satellite Image Using Airborne Laser Scanning Data

Groundwater-Extracting Rice Production in the Rejoso Watershed (Indonesia) Reducing Urban Water Availability: Characterisation and Intervention Priorities

The application of mask R-CNN for building extraction

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