Mathematical modelling of historical reconnaissance CORONA KH‐4B Imagery

Sohn, Hong-Gyoo; Kim, Gi Hong; Yom, Jae-Hong

doi:10.1046/j.0031-868x.2003.00257.x

Cited by 68 publications

(65 citation statements)

References 4 publications

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“…A challenging task is the rectification of panoramic CORONA KH-4A and KH-4B imagery for mapping purposes. Sohn et al (2004) describe several distortion overlap effects, which are maximized towards the ends of each photograph. Fragments of our sites lie at the margins of the film strips and are therefore strongly affected by perspective distortions.…”

Section: Georeferencing and Orthorectificationmentioning

confidence: 99%

Short- and long-term thermo-erosion of ice-rich permafrost coasts in the Laptev Sea region

et al. 2013

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Permafrost coasts in the Arctic are susceptible to a variety of changing environmental factors all of which currently point to increasing coastal erosion rates and mass fluxes of sediment and carbon to the shallow arctic shelf seas. Rapid erosion along high yedoma coasts composed of Ice Complex permafrost deposits creates impressive coastal ice cliffs and inspired research for designing and implementing change detection studies for a long time, but continuous quantitative monitoring and a qualitative inventory of coastal thermo-erosion for large coastline segments is still lacking. Our goal is to use observations of thermo-erosion along the mainland coast of the Laptev Sea, in eastern Siberia, to understand how it depends on coastal geomorphology and the relative contributions of water level and atmospheric drivers. We compared multi-temporal sets of orthorectified satellite imagery from 1965 to 2011 for three segments of coastline ranging in length from 73 to 95 km and analyzed thermo-denudation (TD) along the cliff top and thermo-abrasion (TA) along the cliff bottom for two nested time periods: long-term rates (the past 39–43 yr) and short-term rates (the past 1–4 yr). The Normalized Difference Thermo-erosion Index (NDTI) was used as a proxy to qualitatively describe the relative proportions of TD and TA. Mean annual erosion rates at all three sites were higher in recent years (−5.3 ± 1.3 m a⁻¹) than over the long-term mean (−2.2 ± 0.1 m a⁻¹). The Mamontov Klyk coast exhibits primarily spatial variations of thermo-erosion, while intrasite-specific variations caused by local relief were strongest at the Buor Khaya coast, where the slowest long-term rates of around −0.5 ± 0.1 m a⁻¹ were observed. The Oyogos Yar coast showed continuously rapid erosion up to −6.5 ± 0.2 m a⁻¹. In general, variable characteristics of coastal thermo-erosion were observed not only between study sites and over time, but also within single coastal transects along the cliff profile. Varying intensities of cliff bottom and top erosion are leading to diverse qualities of coastal erosion that have different impacts on coastal mass fluxes. The different extents of Ice Complex permafrost degradation within our study sites turned out to influence not only the degree of coupling between TD and TA, and the magnitude of effectively eroded volumes, but also the quantity of organic carbon released to the shallow Laptev Sea from coastal erosion, which ranged on a long-term from 88 ± 21 to 800 ± 61 t per km coastline per year and will correspond to considerably higher amounts, if recently observed more rapid coastal erosion rates prove to be persistent

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Section: Georeferencing and Orthorectificationmentioning

confidence: 99%

Short- and long-term thermo-erosion of ice-rich permafrost coasts in the Laptev Sea region

et al. 2013

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“…On-desk interpretation was carried out on a number of satellite images from different sensors including Landsat mosaics (spatial resolution = 30 m) (http://earthexplorer.usgs.gov/) from Thematic Mapper sensor, images from LISS-III sensor (spatial resolution = 23.5 m) from Indian remote sensing satellites, Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) (spatial resolution = 15 m), GeoEye image (spatial resolution = 0.5 m), images from CORONA missions (Galiatsatos 2004) (spatial resolution = 1.8 m (Sohn et al 2004)) from the cold-war period (for more details on GeoEye & CORONA image, see Ranga et al 2015) and Shuttle Radar Topographic Mission (SRTM) digital elevation model (spatial resolution = 90 m).…”

Section: Remotely Sensed Data and Ancillary Datamentioning

confidence: 99%

Geomorphological evolution of badlands based on the dynamics of palaeo-channels and their implications

2015

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The badlands along the lower Chambal valley represent the worst case of water erosion in India. These badlands are believed to have developed due to neo-tectonic activities and, probably, strengthening of southwest monsoon in late Pleistocene-Holocene. Due to neo-tectonic activities, the Chambal River has undergone many changes before reaching to its present planform. This study reports palaeo-channels on the Chambal River's right flank along its lower reaches. Salient features of the palaeo-channels and their relation to present spatial pattern of badlands are studied. These palaeo-channels have significantly influenced the development of badlands along the lower Chambal River and have given them distinct and conspicuous spatial patterns. In the light of the evidences, a modified schematic geomorphic evolution of badlands development is also proposed starting from a pre-incision scenario till the present day situation. A major modification in the proposed model is the multi-channel planform of the Chambal River before its incision.

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“…The use of CORONA images was reported by [35][36][37]. However, only recently, some authors have started to work with geometrically-corrected images [38], even if a complete and rigorous procedure to ortho-rectify images was not yet available.…”

Section: Datamentioning

confidence: 99%

Multi-Temporal Image Analysis for Fluvial Morphological Characterization with Application to Albanian Rivers

Spada

Molinari

Bertoldi

et al. 2018

IJGI

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Abstract:A procedure for the characterization of the temporal evolution of river morphology is presented. Wet and active river channels are obtained from the processing of imagery datasets. Information about channel widths and active channel surface subdivision in water, vegetation and gravel coverage classes are evaluated along with channel centerline lengths and sinuosity indices. The analysis is carried out on a series of optical remotely-sensed imagery acquired by different satellite missions during the time period between 1968 and 2017. Data from the CORONA, LANDSAT and Sentinel-2 missions were considered. Besides satellite imagery, a digital elevation model and aerial ortho-photos were also used. The procedure was applied to three, highly dynamic, Albanian rivers: Shkumbin, Seman and Vjosë, showing a high potential for application in contexts with limitations in ground data availability. The results of the procedure were assessed against reference data produced by means of expert interpretation of a reference set of river reaches. The results differ from reference values by just a few percentage points (<6%). The time evolution of hydromorphological parameters is well characterized, and the results support the design of future studies aimed at the understanding of the relations between climatic and anthropogenic controls and the response of river morphological trajectories. Moreover, the high spatial and temporal resolution of the Sentinel-2 mission motivates the development of an automatic monitoring system based on a rolling application of the defined procedure.

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Mathematical modelling of historical reconnaissance CORONA KH‐4B Imagery

Cited by 68 publications

References 4 publications

Short- and long-term thermo-erosion of ice-rich permafrost coasts in the Laptev Sea region

Short- and long-term thermo-erosion of ice-rich permafrost coasts in the Laptev Sea region

Geomorphological evolution of badlands based on the dynamics of palaeo-channels and their implications

Multi-Temporal Image Analysis for Fluvial Morphological Characterization with Application to Albanian Rivers

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