Comparison of various image fusion methods for impervious surface classification from VNREDSat-1

Luu, Hung V.; Pham, Van-Manh; Man, Chuc D.; Bui, Hong-Thuy; Nguyen, Thanh Thi

doi:10.17703/ijact.2016.4.2.1

Cited by 2 publications

(3 citation statements)

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“…The first goal is to supply domestic demand with domestic technology capability instead of relying on foreign countries. It should utilize the characteristics of space technology as convergence technology, such as utilizing existing IT technology in Korea [9].…”

Section: Resultsmentioning

confidence: 99%

Cultural Idea and Space Development

Kim¹

2017

The International Journal of Advanced Culture Technology

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Section: Resultsmentioning

confidence: 99%

Cultural Idea and Space Development

Kim¹

2017

The International Journal of Advanced Culture Technology

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“…Apart from its advantages in substrate classifying, V1 had a limitation in that, unlike L8 and S2, it has no coastal band-and so could not acquire information on deep water in coastal areas. In addition, this is a small satellite type, with a comparatively small image size (17.5 × 17.5 km) [34,35]. While Landsat only used two scenes and S2 needed three images, to cover the study area, V1 required nine images, each covering a small area and making it difficult to collate all the imagery needed to cover the Khanh Hoa coast.…”

Section: Factors Influencing Interpretation Processesmentioning

confidence: 99%

“…After assessing the overall accuracy and Kappa coefficients, all three images had relatively high quality outputs, making it possible to establish SAV distribution status in the study area. Although V1 data gave the best results for substrate classification, as it was only launched in 2013, earlier data was not available [34,35]. Therefore, selecting Landsat gave us the advantages of not only high levels of accuracy, but also a longer data record than was available from either S2 or V1.…”

Section: Temporal Changes In Sav Extentmentioning

confidence: 99%

Mapping Submerged Aquatic Vegetation along the Central Vietnamese Coast Using Multi-Source Remote Sensing

Tín

Thach

et al. 2020

IJGI

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Submerged aquatic vegetation (SAV) in the Khanh Hoa (Vietnam) coastal area plays an important role in coastal communities and the marine ecosystem. However, SAV distribution varies widely, in terms of depth and substrate types, making it difficult to monitor using in-situ measurement. Remote sensing can help address this issue. High spatial resolution satellites, with more bands and higher radiometric sensitivity, have been launched recently, including the Vietnamese Natural Resources, Environment, and Disaster Monitoring Satellite (VNREDSat-1) (V1) sensor from Vietnam, launched in 2013. The objective of the study described here was to establish SAV distribution maps for South-Central Vietnam, particularly in the Khanh Hoa coastal area, using Sentinel-2 (S2), Landsat-8, and V1 imagery, and then to assess any changes to SAV over the last ten years, using selected historical data. The satellite top-of-atmosphere signals were initially converted to radiance, and then corrected for atmospheric effects. This treated signal was then used to classify Khanh Hoa coastal water substrates, and these classifications were evaluated using 101 in-situ measurements, collected in 2017 and 2018. The results showed that the three satellites could provide high accuracy, with Kappa coefficients above 0.84, with V1 achieving over 0.87. Our results showed that, from 2008 to 2018, SAV acreage in Khanh Hoa was reduced by 74.2%, while gains in new areas compensated for less than half of these losses. This is the first study to show the potential for using V1 and S2 data to assess the distribution status of SAV in Vietnam, and its outcomes will contribute to the conservation of SAV beds, and to the sustainable exploitation of aquatic resources in the Khanh Hoa coastal area.

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Comparison of various image fusion methods for impervious surface classification from VNREDSat-1

Abstract: Abstract

Cited by 2 publications

References 9 publications

Cultural Idea and Space Development

Cultural Idea and Space Development

Mapping Submerged Aquatic Vegetation along the Central Vietnamese Coast Using Multi-Source Remote Sensing

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