Using ArcticDEM to identify and quantify pan-Arctic retrogressive thaw slump activity

2020 ◽  
Author(s):  
Chunli Dai ◽  
Melissa Jones ◽  
Ian Howat ◽  
Anna Liljedahl ◽  
Antoni Lewkowicz ◽  
...  
Keyword(s):  
High Resolution ◽  
Land Surface ◽  
Satellite Images ◽  
Automated Detection ◽  
Future Research ◽  
Mass Wasting ◽  
Contributing Factors ◽  
Digital Elevation ◽  
Retrogressive Thaw Slump ◽  
High Resolution Satellite Imagery

<p>With the increased availability and coverage of high resolution satellite imagery, characterizing processes at the pan-Arctic scale is now possible. This baseline pan-Arctic product will enable us to highlight areas for future research efforts and to standardize observations that are currently locally or regionally focused. The ArcticDEM project (www.arcticdem.org) has released a large collection of 2 meter resolution Digital Elevation Models (DEMs) for all land areas above 60 °N. These DEMs are created using high resolution (~0.5 m) stereo paired satellite images (by DigitalGlobe and include Worldview- 1 (launched 2007), 2 (2009), 3 (2014) and GeoEye-1 (2008) satellites). Using repeat DEMs, we are developing algorithms for automated detection to identify and quantify land surface topographic changes from Arctic volcano eruptions and mass wasting events to create a pan-Arctic mass wasting inventory, including retrogressive thaw slumps. Currently, retreat rates reported for retrogressive thaw slumping activity differ between studies, and our dataset will enable rates to be standardized for slump activity after 2007. Furthermore, our mass wasting inventory will enable us to investigate the triggers of mass wasting events and to analyze the linkages to the contributing factors including climate, topography, and geology. We will be presenting preliminary results focusing specifically on retrogressive thaw slumps, including time series analysis for topographic change detection and using field observations for validation. We welcome collaborators who can share the field or remote sensing observations to aid in our validation efforts.</p>

scholarly journals Vehicle Detection and Classification from High Resolution Satellite Images

2014 ◽  
Vol II-1 ◽  
pp. 1-8 ◽  
Author(s):  
L. Abraham ◽  
M. Sasikumar
Keyword(s):  
High Resolution ◽  
Satellite Imagery ◽  
Satellite Images ◽  
Weather Forecasting ◽  
Vehicle Detection ◽  
Satellite Imaging ◽  
Suitable Alternative ◽  
High Resolution Satellite Images ◽  
Technological Developments ◽  
High Resolution Satellite Imagery

In the past decades satellite imagery has been used successfully for weather forecasting, geographical and geological applications. Low resolution satellite images are sufficient for these sorts of applications. But the technological developments in the field of satellite imaging provide high resolution sensors which expands its field of application. Thus the High Resolution Satellite Imagery (HRSI) proved to be a suitable alternative to aerial photogrammetric data to provide a new data source for object detection. Since the traffic rates in developing countries are enormously increasing, vehicle detection from satellite data will be a better choice for automating such systems. In this work, a novel technique for vehicle detection from the images obtained from high resolution sensors is proposed. Though we are using high resolution images, vehicles are seen only as tiny spots, difficult to distinguish from the background. But we are able to obtain a detection rate not less than 0.9. Thereafter we classify the detected vehicles into cars and trucks and find the count of them.

scholarly journals Automated Coastline Extraction Using the Very High Resolution WorldView (WV) Satellite Imagery and Developed Coastline Extraction Tool (CET)

2021 ◽  
Vol 11 (20) ◽  
pp. 9482
Author(s):  
Fran Domazetović ◽  
Ante Šiljeg ◽  
Ivan Marić ◽  
Josip Faričić ◽  
Emmanuel Vassilakis ◽  
...  
Keyword(s):  
High Resolution ◽  
Satellite Imagery ◽  
Land Surface ◽  
Coastal Areas ◽  
Ease Of Use ◽  
Future Research ◽  
Mapping Technique ◽  
Surface Model ◽  
Stereo Pair ◽  
Very High

The accurate extraction of a coastline is necessary for various studies of coastal processes, as well as for the management and protection of coastal areas. Very high-resolution satellite imagery has great potential for coastline extraction; however, noises in spectral data can cause significant errors. Here, we present a newly developed Coastal Extraction Tool (CET) that overcomes such errors and allows accurate and time-efficient automated coastline extraction based on a combination of WorldView-2 (WV-2) multispectral imagery and stereo-pair-derived digital surface model (DSM). Coastline extraction is performed and tested on the Iž-Rava island group, situated within the Northern Dalmatian archipelago (Croatia). Extracted coastlines were compared to (a) coastlines extracted from state topographic map (1:25,000), and (b) coastline extracted by another available tool. The accuracy of the extracted coastline was validated with centimeter accuracy reference data acquired using a UAV system (Matrice 600 Pro + MicaSense RedEdge-MX). Within the study area, two small islets were detected that have not been mapped during the earlier coastline mapping efforts. CET proved to be a highly accurate coastline mapping technique that successfully overcomes spectral-induced errors. In future research, we are planning to integrate data obtained by UAVs infrared thermography (IRT) and in situ sensors, measuring sea and land surface temperatures (SST and LST), into the CET, given that this has shown promising results. Considering its accuracy and ease of use, we suggest that CET can be applied for automated coastline extraction in other large and indented coastal areas. Additionally, we suggest that CET could be applied in longitudinal geomorphological coastal erosion studies for the automated detection of spatio-temporal coastline displacement.

scholarly journals Adaptive digital technique for discriminating between shadow and water bodies in the high resolution satellite imagery

2019 ◽  
Vol 14 (31) ◽  
pp. 81-88
Author(s):  
Anaam Kadhim Hadi
Keyword(s):  
High Resolution ◽  
Satellite Imagery ◽  
Satellite Images ◽  
Google Earth ◽  
Experimental Results ◽  
Water Bodies ◽  
Digital Technique ◽  
Matlab Program ◽  
High Resolution Satellite Images ◽  
High Resolution Satellite Imagery

This research presents a new algorithm for classification theshadow and water bodies for high-resolution satellite images (4-meter) of Baghdad city, have been modulated the equations of thecolor space components C1-C2-C3. Have been using the color spacecomponent C3 (blue) for discriminating the shadow, and has beenused C1 (red) to detect the water bodies (river). The new techniquewas successfully tested on many images of the Google earth andIkonos. Experimental results show that this algorithm effective todetect all the types of the shadows with color, and also detects thewater bodies in another color. The benefit of this new technique todiscriminate between the shadows and water in fast Matlab program.

scholarly journals Mapping of Polar Areas Based on High-Resolution Satellite Images: The Example of the Henryk Arctowski Polish Antarctic Station

2017 ◽  
Vol 104 (1) ◽  
pp. 65-78
Author(s):  
Zdzisław Kurczyński ◽  
Sebastian Różycki ◽  
Paweł Bylina
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Satellite Images ◽  
Mean Squared Error ◽  
Remote Sensing Data ◽  
Aerial Images ◽  
Polar Regions ◽  
Technical Requirements ◽  
Digital Elevation ◽  
High Resolution Satellite Images

Abstract To produce orthophotomaps or digital elevation models, the most commonly used method is photogrammetric measurement. However, the use of aerial images is not easy in polar regions for logistical reasons. In these areas, remote sensing data acquired from satellite systems is much more useful. This paper presents the basic technical requirements of different products which can be obtain (in particular orthoimages and digital elevation model (DEM)) using Very-High-Resolution Satellite (VHRS) images. The study area was situated in the vicinity of the Henryk Arctowski Polish Antarctic Station on the Western Shore of Admiralty Bay, King George Island, Western Antarctic. Image processing was applied on two triplets of images acquired by the Pléiades 1A and 1B in March 2013. The results of the generation of orthoimages from the Pléiades systems without control points showed that the proposed method can achieve Root Mean Squared Error (RMSE) of 3-9 m. The presented Pléiades images are useful for thematic remote sensing analysis and processing of measurements. Using satellite images to produce remote sensing products for polar regions is highly beneficial and reliable and compares well with more expensive airborne photographs or field surveys.

scholarly journals Deteksi Deforestasi Menggunakan Citra Satelit Resolusi Tinggi Pada Lanskap Hutan Mangrove Percut Sei Tuan

2018 ◽  
Vol 1 (2) ◽  
pp. 213-217
Author(s):  
Nurdin Sulistiyono ◽  
Pindi Patana ◽  
Achmad Siddik Thoha ◽  
Khairil Amri ◽  
Onrizal Onrizal
Keyword(s):  
Land Use ◽  
High Resolution ◽  
Mangrove Forest ◽  
Satellite Images ◽  
Methodological Approach ◽  
Google Earth ◽  
Forest Landscape ◽  
Mangrove Forests ◽  
High Resolution Satellite Imagery ◽  
Spatial Plan

Hutan mangrove telah diketahui memiliki peran penting sebagai penyangga kehidupan kawasan pantai dan mata rantai penghubung ekosistem daratan dan ekosistem laut. Namun demikian tekanan terhadap lanskap hutan mangrove dirasakan semakin besar tiap tahunnya dalam bentuk deforestasi. Pemanfaatan citra satelit resolusi tinggi dari Google Earth dapat digunakan untuk kegiatan monitoring lanskap hutan mangrove dalam skala yang lebih detail. Penelitian ini bertujuan untuk mengidentifikasi deforestasi serta kesesuaian pola peruntukan ruang pada lanskap hutan mangrove di Percut Sei Tuan pada periode tahun 2011 - 2016.  Pendekatan metodelogi yang digunakan adalah dengan menggunakan post classificaion comparism dengan metode on screen pada citra satelit dari google earth.  Hasil penelitian menunjukan besarnya laju deforestasi pada lanskap hutan mangrove sebesar 77,43ha atau sebesar 15,43 ha/tahun. Penggunaan lahan pada lanskap hutan mangrove di Percut Sei Tuan pada tahun 2011 dan 2016 tidak sesuai dengan peruntukan lahan sebagaimana yang tercantum dalam Rencana Tata Ruang Wilayah Kabupaten Deli Serdang.   Mangrove forests have been known to have an important role as a buffer to the life of coastal areas and links to land ecosystems and marine ecosystems. However, the pressure on the landscape of mangrove forests is greater each year in the form of deforestation. The use of high-resolution satellite imagery from Google Earth can be used to monitor the landscape of mangrove forests on a more detailed scale. This study aims to identify deforestation and the suitability of space designation patterns in the mangrove forest landscape in Percut Sei Tuan in the period 2011 - 2016. The methodological approach used is to use post classificaion comparism with on-screen methods on satellite images from Google Earth. The results showed that the rate of deforestation in the mangrove forest landscape was 77.43 ha or 15.43 ha / year. Land use in the mangrove forest landscape in Percut Sei Tuan in 2011 and 2016 is not in accordance with the land allotment as stated in the Deli Serdang Regency Spatial Plan.

scholarly journals An Unmixing-Based Bayesian Model for Spatio-Temporal Satellite Image Fusion in Heterogeneous Landscapes

2019 ◽  
Vol 11 (3) ◽  
pp. 324 ◽  
Author(s):  
Jie Xue ◽  
Yee Leung ◽  
Tung Fung
Keyword(s):  
High Resolution ◽  
Data Fusion ◽  
Spatial Resolution ◽  
Temporal Resolution ◽  
Land Surface ◽  
Satellite Images ◽  
Satellite Image ◽  
Heterogeneous Landscapes ◽  
Bayesian Data Fusion ◽  
Spatio Temporal

Studies of land surface dynamics in heterogeneous landscapes often require satellite images with a high resolution, both in time and space. However, the design of satellite sensors often inherently limits the availability of such images. Images with high spatial resolution tend to have relatively low temporal resolution, and vice versa. Therefore, fusion of the two types of images provides a useful way to generate data high in both spatial and temporal resolutions. A Bayesian data fusion framework can produce the target high-resolution image based on a rigorous statistical foundation. However, existing Bayesian data fusion algorithms, such as STBDF (spatio-temporal Bayesian data fusion) -I and -II, do not fully incorporate the mixed information contained in low-spatial-resolution pixels, which in turn might limit their fusion ability in heterogeneous landscapes. To enhance the capability of existing STBDF models in handling heterogeneous areas, this study proposes two improved Bayesian data fusion approaches, coined ISTBDF-I and ISTBDF-II, which incorporate an unmixing-based algorithm into the existing STBDF framework. The performance of the proposed algorithms is visually and quantitatively compared with STBDF-II using simulated data and real satellite images. Experimental results show that the proposed algorithms generate improved spatio-temporal-resolution images over STBDF-II, especially in heterogeneous areas. They shed light on the way to further enhance our fusion capability.

scholarly journals Η συμβολή των δορυφορικών πολυφασματικών εικόνων στη Γεωμορφολογία, από τη δεκαετία του 70 (δορυφόροι LANDSAT) μέχρι σήμερα (δορυφόροι IKONOS, QuickBird). Παραδείγματα από την Ελλάδα.

2005 ◽  
Vol 38 ◽  
pp. 157
Author(s):  
Θ. ΑΣΤΑΡΑΣ ◽  
Δ. ΟΙΚΟΝΟΜΙΔΗΣ ◽  
Α. ΜΟΥΡΑΤΙΔΗΣ
Keyword(s):  
High Resolution ◽  
Satellite Images ◽  
Shuttle Radar Topography Mission ◽  
Aerial Photographs ◽  
Medium Resolution ◽  
Digital Elevation ◽  
High Resolution Satellite Images ◽  
Multispectral Satellite Images ◽  
Geomorphological Units ◽  
Land Systems

This paper describes initially the availability of multispectral satellite images, from the launch of the first Earth Resources Satellites (Landsat series), with medium resolution capabilities (80m), to the launch of the contemporary satellites (QuickBird, 2001), with very high resolution capabilities (60cm). It reviews researches, concerning the visual and digital image analyses of the LANDSAT series, SPOT, 1RS, TERRA and QuickBird satellite images that have been carried out during the last 20 years in the Department of Physical and Environmental Geography, School of Geology, Aristotle University of Thessaloniki. These researches are of geomorphological-geological interest and involve applications in various areas of Greece. In particular, practical examples are provided, concerning the detection and delineation of landslides in Macedonia and Epirus Provinces, the detection and classification of geomorphological units (land systems) in Peloponnesos, Thrace, Macedonia and Santorini areas and the analysis of drainage network in Central Macedonia Province with emphasis in the delineation of severe erosional phenomena. Reason for this review paper, is the contemporary use of Digital Elevation Models (DEMs) with 10-30 m accuracy, from the Shuttle Radar Topography Mission (SRTM / 2000) and their contribution, along with the high resolution satellite images, (from TERRA, QuickBird, etc), in the 3-D visualization of the Earths' relief. In particular, the use of 3-D satellite images will assist geoscientists and especially geomorphologists, to study the Earths' relief and its' evolution, more quickly, with better accuracy and at lower cost, compared with aerial photographs and 2-D satellite images, which have been used during the last 20 years.

scholarly journals shorelines of the Holocene Megalake Chad (Africa, Sahara) investigated with very high resolution satellite imagery (Pléiades) : example of the Goz Kerki paleo-spit

2014 ◽  
pp. 63-68 ◽  
Author(s):  
Mathieu Schuster ◽  
Claude Roquin ◽  
Abderamane Moussa ◽  
Jean-François Ghienne ◽  
Philippe Duringer ◽  
...  
Keyword(s):  
High Resolution ◽  
Satellite Imagery ◽  
Satellite Images ◽  
Field Surveys ◽  
Large Size ◽  
High Resolution Satellite Imagery ◽  
Sahel Region ◽  
Lake Deposits ◽  
Humid Period ◽  
Very High

Megalake Chad (350,000 km2), the largest paleo-lake of the Sahara-Sahel area, is one of the most emblematic marker of the hydroclimatic changes that occurred during the African Humid Period (AHP; ca. 11,500 — 5,000 years BP) in subtropical Africa. From field surveys, the existence of Megalake Chad is well demonstrated by widespread typical lake deposits. However, considering the very large size of this paleo-lake, it is best evidenced and understood from space. Conspicuous paleo-littoral features distributed along hundreds of kilometers are clearly visible on second generation satellite images. These features represent major archives of the Megalake Chad and of the climate during the AHP. This paper is the first attempt to investigate the paleo-littoral of Megalake Chad with very high resolution satellite imagery. A Pléiades scene (images and DEM) is used to characterize the fossil sand spit of the Goz Kerki, which is one of the most representative and best preserved littoral features of Megalake Chad. Thanks to Pléiades stereoscopic images the geomorphology and the lithology of this paleo-spit can now be detailed and the evolution of the paleo-bathymetry of Megalake Chad can be reconstructed. This brings new insights into the paleo-environments and paleo-climates of the Sahara-Sahel region.

Simulating the IHOP_2002 Fair-Weather CBL with the WRF-ARW–Noah Modeling System. Part II: Structures from a Few Kilometers to 100 km across

2010 ◽  
Vol 138 (3) ◽  
pp. 745-764 ◽  
Author(s):  
Margaret A. LeMone ◽  
Fei Chen ◽  
Mukul Tewari ◽  
Jimy Dudhia ◽  
Bart Geerts ◽  
...  
Keyword(s):  
Boundary Layer ◽  
High Resolution ◽  
Land Surface ◽  
Satellite Images ◽  
Maximum Amplitude ◽  
Weather Data ◽  
Dimensional Structure ◽  
Surface Model ◽  
Grid Spacing ◽  
Fair Weather

Abstract Fair-weather data along the May–June 2002 International H2O Project (IHOP_2002) eastern track and the nearby Argonne Boundary Layer Experiments (ABLE) facility in southeast Kansas are compared to numerical simulations to gain insight into how the surface influences convective boundary layer (CBL) structure, and to evaluate the success of the modeling system in replicating the observed behavior. Simulations are conducted for 4 days, using the Advanced Research version of the Weather Research and Forecasting (WRF) model coupled to the Noah land surface model (LSM), initialized using the High-Resolution Land Data Assimilation System (HRLDAS). Because the observations focus on phenomena less than 60 km in scale, the model is run with 1-km grid spacing, offering a critical look at high-resolution model behavior in an environment uncomplicated by precipitation. The model replicates the type of CBL structure on scales from a few kilometers to ∼100 km, but some features at the kilometer scales depend on the grid spacing. Mesoscale (tens of kilometers) circulations were clearly evident on 2 of the 4 days (30 May and 20 June), clearly not evident on 1 day (22 June), with the situation for the fourth day (17 June) ambiguous. Both observed and modeled surface-heterogeneity-generated mesoscale circulations are evident for 30 May. On the other hand, 20 June satellite images show north-northwest–south-southeast cloud streets (rolls) modulated longitudinally, presumably by tropospheric gravity waves oriented normal to the roll axis, creating northeast–southwest ridges and valleys spaced 50–100 km apart. Modeled cloud streets showed similar longitudinal modulation, with the associated two-dimensional structure having maximum amplitude above the CBL and no relationship to the CBL temperature distribution; although there were patches of mesoscale vertical velocity correlated with CBL temperature. On 22 June, convective rolls were the dominant structure in both model and observations. For the 3 days for which satellite images show cloud streets, WRF produces rolls with the right orientation and wavelength, which grows with CBL depth. Modeled roll structures appeared for the range of CBL depth to Obukhov length ratios (−zi/L) associated with rolls. However, sensitivity tests show that the roll wavelength is also related to the grid spacing, and the modeled convection becomes more cellular with smaller grid spacing.

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