Application of archival aerial photogrammetry to quantify climate forcing of alpine landscapes

Micheletti, Natan; Lane, Stuart N.; Chandler, Jim H.

doi:10.1111/phor.12099

Cited by 56 publications

(66 citation statements)

References 32 publications

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“…By increasing size, these papers are: (Meyer et al, 1996, Nebiker et al, 2014, Walstra et al, 2004, Mondino and Chiabrandoa, 2008, Véga and St-Onge, 2008, Kadmon and Harari-Kremer, 1999, Fox and Cziferszky, 2008, Cardenal et al, 2006, Necsoiu et al, 2013, Aguilar et al, 2013, Ayoub et al, 2009. (Micheletti et al, 2015) (9 dates), (Nurminen et al, 2015) (10) and (Korpela, 2006) (28) are the only authors that have processed more than 5 epochs. (Nurminen et al, 2015) consider relatively larger area (∼ 600 km 2 ) for DSM generation in forested areas.…”

Section: Fine Georeferencing Of Archival Imagesmentioning

confidence: 99%

“…The relative image orientation has a great impact on the planimetric and altimetric accuracies of the orthoimages and the subsequent DSM. Therefore, some authors chose to add manual intervention during the relative image orientation stage: tie-points are for instance manually extracted in (Micheletti et al, 2015). Multi-temporal tie-points can even be inserted (Cardenal et al, 2006).…”

Section: Interior Orientationmentioning

confidence: 99%

“…Almost all approaches identified in the literature are applied to aerial photographs with existing fiducial marks. Calibration certificates can be used to retrieve the fiducial mark physical coordinates (Nurminen et al, 2015, Korpela, 2006, Micheletti et al, 2015, Véga and St-Onge, 2008), but they are barely available today. This is a first obstacle to move to larger temporal intervals.…”

Section: Interior Orientationmentioning

confidence: 99%

“…In the literature, GCPs are measured manually using ancillary orthoimage and a Digital Terrain Model (Nurminen et al, 2015, Nocerino et al, 2012, Necsoiu et al, 2013, Véga and St-Onge, 2008, Ellis et al, 2006, Fox and Cziferszky, 2008, field GPS (Micheletti et al, 2015, Cardenal et al, 2006, Walstra et al, 2004, or with both techniques (Aguilar et al, 2013). The number of GCPs needed is important compared to the size of the study sites: around 45 GCPs for less than 10 archival aerial images in (Nurminen et al, 2015) or (Aguilar et al, 2013), or 169 GCPs for a 20 km 2 area in (Micheletti et al, 2015), 10 to 47 GCPs per image in (Ford, 2013). (Nurminen et al, 2015) argue that this important number of GCPs is required to tie the images to the ground reference system because camera calibration information as well as adequate approximate exterior orientations are often missing.…”

Section: Absolute Image Orientationmentioning

confidence: 99%

“…The digital images are generated from old analog photography, acquired with different cameras for which only coarse image localisation was stored. In addition, artefacts and noise are often observed: radiometric issues heavily impact the geometric accuracy of the orthoimages (Micheletti et al, 2015), and subsequently the computation of the DSMs. Moreover, analysing these time series is rather challenging since images exhibit highly heterogeneous spatial resolutions, with very different acquisition conditions.…”

Section: Introductionmentioning

confidence: 99%

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Toward Automatic Georeferencing of Archival Aerial Photogrammetric Surveys

Giordano¹,

Bris²,

Mallet³

2018

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Images from archival aerial photogrammetric surveys are a unique and relatively unexplored means to chronicle 3D land-cover changes over the past 100 years. They provide a relatively dense temporal sampling of the territories with very high spatial resolution. Such time series image analysis is a mandatory baseline for a large variety of long-term environmental monitoring studies. The current bottleneck for accurate comparison between epochs is their fine georeferencing step. No fully automatic method has been proposed yet and existing studies are rather limited in terms of area and number of dates. State-of-the art shows that the major challenge is the identification of ground references: cartographic coordinates and their position in the archival images. This task is manually performed, and extremely time-consuming. This paper proposes to use a photogrammetric approach, and states that the 3D information that can be computed is the key to full automation. Its original idea lies in a 2-step approach: (i) the computation of a coarse absolute image orientation; (ii) the use of the coarse Digital Surface Model (DSM) information for automatic absolute image orientation. It only relies on a recent orthoimage+DSM, used as master reference for all epochs. The coarse orthoimage, compared with such a reference, allows the identification of dense ground references and the coarse DSM provides their position in the archival images. Results on two areas and 5 dates show that this method is compatible with long and dense archival aerial image series. Satisfactory planimetric and altimetric accuracies are reported, with variations depending on the ground sampling distance of the images and the location of the Ground Control Points.

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Section: Fine Georeferencing Of Archival Imagesmentioning

confidence: 99%

Section: Interior Orientationmentioning

confidence: 99%

Section: Interior Orientationmentioning

confidence: 99%

Section: Absolute Image Orientationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Toward Automatic Georeferencing of Archival Aerial Photogrammetric Surveys

Giordano¹,

Bris²,

Mallet³

2018

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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Investigating decadal‐scale geomorphic dynamics in an alpine mountain setting

2015

Self Cite

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We know little about the effect of recent climate variability upon landscapes at the timescale of decades because of (1) the complex, nonlinear, and path‐dependent nature of the response of a landscape to climate forcing and (2) the difficulty of quantifying spatially distributed impacts at the timescale of decades to centuries, despite this being the timescale over which significant hypotheses have been raised over human impacts upon climate change and hence geomorphic systems. A unique resource to investigate the linkages between climatic variability and geomorphic response is provided by the extensive coverage of aerial imagery commonly available since the 1950s. Here we use archival digital photogrammetry to produce high‐precision digital elevation models over large spatial scales, and so to reconstruct the quantitative history of surface downwasting and sediment flux in a high mountain alpine system, over the timescales of decades. Propagation of error methods is used to identify locations of significant landscape response and to compute volumes of significant surface change. Orthorectified aerial images are used in an image correlation framework to detect horizontal and vertical displacements of components of the landscape. Results are coupled to extant climate data and modeled snow cover to show how the landscape responds to climate forcing and to geomorphological maps to understand how this response varies between landscape elements. The results show distinct landscape response to both warming and cooling periods and a tendency for the acceleration of surface displacement under warming conditions. Precipitation and snow cover are critical in controlling glacier dynamics and rock glacier displacement velocities. However, while some landforms might lead to locally high sediment flux, landscape heritage can disconnect zones of high change rates from the valley bottom. Hence, the landscape response to climate forcing is not necessarily reflected in valley system processes or sediment deposits.

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Water yield and sediment export in small, partially glaciated Alpine watersheds in a warming climate

Micheletti

Lane

2016

Water Resources Research

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Climate change is expected to modify the hydrological and geomorphological dynamics of mountain watersheds significantly, so impacting on downstream water yield and sediment supply. However, such watersheds are often poorly instrumented, making it difficult to link recent and rapid climate change to landscape response. Here we combine unique records of river flow and sediment export, with historical archival imagery to test the hypothesis that climate warming has substantially increased both water yield and sediment export from small Alpine watersheds (<3 km2) characterized by small (<0.5 km2 surface) glaciers. To examine ice and landform response to climate change, we apply archival digital photogrammetry to historical aerial imagery available from 1967 to present. We use the resulting data on ice loss, in combination with reliable records of stream flow from hydroelectric power intakes and climate data to approximate a water budget and to determine the evolution of different contributions to river flow. We use the stream flow records to estimate volumetric sediment transport capacity and compare this with the volumes of sand and gravel exported from the watersheds, quantified from records of intake flushing. The data show clearly that climate forcing since the early 1980s has been accompanied by a net increase in both water yield and sediment transport capacity, and we attribute these as signals of reduced snow accumulation and glacier recession. However, sediment export has not responded in the same way and we attribute this to limits on sediment delivery to streams because of poor rockwall‐hillslope‐channel connectivity. However, we do find that extreme climate conditions can be seen in sediment export data suggesting that these, rather than mean climate warming, may dominate watershed response.

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Application of archival aerial photogrammetry to quantify climate forcing of alpine landscapes

Cited by 56 publications

References 32 publications

Toward Automatic Georeferencing of Archival Aerial Photogrammetric Surveys

Toward Automatic Georeferencing of Archival Aerial Photogrammetric Surveys

Investigating decadal‐scale geomorphic dynamics in an alpine mountain setting

Water yield and sediment export in small, partially glaciated Alpine watersheds in a warming climate

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