Cosmo-SkyMed and TerraSAR-X datasets for geomorphological mapping in the eastern of Marajó Island, Amazon coast

Guimarães, Ulisses Silva; Galo, Maria de Lourdes Bueno Trindade; Narvaes, Igor da Silva; Silva, Arnaldo de Queiroz da

doi:10.1016/j.geomorph.2019.106934

Cited by 10 publications

(7 citation statements)

References 57 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The use of GNSS receivers to collect positional control points is quite common for verifying the information generated in the SAR dataset, as presented by the authors Souza Filho and Paradella (2005), Oliveira et al (2011), Capaldo et al (2015), Paradella et al (2015), Guimarães et al (2018) and Guimarães et al (2020). Comparing the results obtained with other works cited and found in the literature, we observed that the most common is to work with natural features as control points for Digital Elevation Model (DEM) validation.…”

Section: Nssda Testmentioning

confidence: 60%

See 1 more Smart Citation

An Approach to Positional Quality Control Methods for Airborne Insar High-Resolution X-Band Orthoimages and P-Band Digital Terrain Model

2021

View full text Add to dashboard Cite

The positional validation of datasets is an important step for cartography studies since it allows learning about its accuracy, and also indicates the data process quality. However, the positional validation of Synthetic Aperture Radar (SAR) datasets have some additional challenges when compared to optical images due to the geometric distortions. We employ existing targets such as traffic signs and lampposts in the scene and identify them on the image as control points. We performed the validation of the geographic coordinates used as planialtimetric positional control points, using both the amplitude backscattering orthoimage and the Digital Terrain Model (DTM) generated from the InSAR system. We employed the NMAS, ASPRS and NSSDA tests along with information by the Brazilian Standards. This validation showed these control points presented the following results for 1:10,000 scale: NMAS test - class “A” in PEC and PEC-PCD; ASPRS test - RMSE x = 1.317m, RMSE y = 1.231m and RMSE z = 1.145m; and NSSDA test - RMSE r = 1,802m, Precision r = 3.118m and Precision z = 2.244m. These results prove we can use the proposed targets as control points and the used InSAR datasets meet the expected quality for generation of geotechnic products for 1:10,000 scale.

show abstract

Section: Nssda Testmentioning

confidence: 60%

“…al. (2018) and Guimarães et al (2020), it seems that the control points used have very different characteristics from those chosen by Silva (2020), having obtained though, very similar results. This proves that these points proposed in this study are sufficient for planialtimetric positional validation of the used SAR dataset.…”

Section: Nssda Testmentioning

confidence: 64%

An Approach to Positional Quality Control Methods for Airborne Insar High-Resolution X-Band Orthoimages and P-Band Digital Terrain Model

2021

View full text Add to dashboard Cite

show abstract

“…Interestingly would be the use of seasonal SAR quad-polarization in the classification scheme. Seasonal aspects were also considered by Furtado et al [8] and more recently by Guimarães et al [64] in the discrimination of complex environments containing wetlands.…”

Section: Classification Of Land Cover Classes In Different Data Input...mentioning

confidence: 97%

Benefits of Combining ALOS/PALSAR-2 and Sentinel-2A Data in the Classification of Land Cover Classes in the Santa Catarina Southern Plateau

et al. 2021

View full text Add to dashboard Cite

The Santa Catarina Southern Plateau is located in Southern Brazil and is a region that has gained considerable attention due to the rapid conversion of the typical landscape of natural grasslands and wetlands into agriculture, reforestation, pasture, and more recently, wind farms. This study’s main goal was to characterize the polarimetric attributes of the experimental quad-polarization acquisition mode of the Advanced Land Observing Satellite/Phased Array type L-band Synthetic Aperture Radar (ALOS/PALSAR-2) for mapping seven land cover classes. The polarimetric attributes were evaluated alone and combined with SENTINEL-2A using a supervised classification method based on the Support Vector Machine (SVM) algorithm. The results showed that the intensity backscattering alone reached an overall classification accuracy of 37.48% and a Kappa index of 0.26. Interestingly, the addition of polarimetric features increased to 71.35% and 0.66, respectively. It shows that the use of polarimetric decomposition features was relatively efficient in discriminating land cover classes. SENTINEL-2A data alone performed better and achieved a weighted overall accuracy and Kappa index of 85.56% and 0.82. This increase was also significant for the Z-test. However, the addition of ALOS/PALSAR-2 derived features to SENTINEL-2A slightly improved accuracy and was marginally significant at a 95% confidence level only when all features were considered. Possible implications for that performance are the accumulated precipitation prior to SAR data acquisition, which coincides with the rainy season period. The experimental quad-polarization mode of ALOS/PALSAR- 2 shall be evaluated in the near future over different seasonal conditions to confirm results. Alternatively, further studies are then suggested by focusing on additional features derived from SAR data such as texture and interferometric coherence to increase classification accuracy. These measures would be an interesting data source for monitoring specific land cover classes such as the threatened grasslands and wetlands during periods of frequent cloud coverage. Future investigations could also address multitemporal approaches employing either single or multifrequency SAR.

show abstract

Section: Delta Hydrology Sedimentation and Geomorphologymentioning

confidence: 99%

“…The Amazon delta coast composes 14% of Brazil's coastline [34], and comprises three of the country's 26 states (Amapá, Maranhão, and Pará). The sheer size of this delta implies that collecting spatial (and temporal) data on its hydrology, sedimentology, geomorphology, and landforms is a Herculean task that is best tackled by Earth-observation techniques (e.g., [34,35], complemented by field monitoring stations). The climate of the delta is equatorial humid and strongly influenced by the Intertropical Convergence Zone, the migration of which generates seasonal rainfall of up to 4000 mm between December and May and a dry season from June to November, with up to 350 mm of rainfall [36,37].…”

Section: Delta Hydrology Sedimentation and Geomorphologymentioning

confidence: 99%

Sustainable Management, Conservation, and Restoration of the Amazon River Delta and Amazon-Influenced Guianas Coast: A Review

Anthony

Brondízio

Santos³

et al. 2021

Water

View full text Add to dashboard Cite

The Amazon River delta may be currently characterized biophysically as a relatively preserved delta compared to the rampant vulnerability of many of the world’s large deltas. This status of relative preservation is reflected in a number of criteria: The still largely free-flowing nature of many of the rivers and the main stem of the Amazon that feed the delta in sediment, exceptional biodiversity, dominant shoreline accretion, and the absence of anthropogenically-generated subsidence. In this review, we show that these relatively reassuring conditions are progressively being called into question by the effects of dams on fluvial sediment supply to the delta, by increasing demographic, urban, and land development pressures in this still largely underpopulated delta, and by problems of governance that underplay aspects of basin-wide and deltaic environmental deterioration. A major challenge is that of bringing together these contrasting demands that are leading to the emergence of zones of environmental stress that test the resilience of this delta. An integral part of the strategy for the analysis of collective action, management, and conservation is that of considering the Amazon delta in terms of interacting socio-ecological systems. Pressures on the delta will be compounded in the future by decreasing fluvial sediment supply and sea-level rise. Although climate change is projected to generate surplus sediment, the rapid growth of dam constructions upstream of the delta will negatively impact the river’s sediment flux. Conservation and management of the Amazon River system aimed at keeping the delta resilient in the context of sea-level rise and reduction of sediment supply will require clear governance and better planning and anticipation, as well as socio-ecological integration. These are also requirements that will need to be implemented in the 1500 km-long coastal zone of the Guianas countries located west of the Amazon delta and the sediment dynamics and stability of which are largely determined by sediment supply from the Amazon.

show abstract

Cosmo-SkyMed and TerraSAR-X datasets for geomorphological mapping in the eastern of Marajó Island, Amazon coast

Cited by 10 publications

References 57 publications

An Approach to Positional Quality Control Methods for Airborne Insar High-Resolution X-Band Orthoimages and P-Band Digital Terrain Model

An Approach to Positional Quality Control Methods for Airborne Insar High-Resolution X-Band Orthoimages and P-Band Digital Terrain Model

Benefits of Combining ALOS/PALSAR-2 and Sentinel-2A Data in the Classification of Land Cover Classes in the Santa Catarina Southern Plateau

Sustainable Management, Conservation, and Restoration of the Amazon River Delta and Amazon-Influenced Guianas Coast: A Review

Contact Info

Product

Resources

About