scholarly journals Morphological Changes Detection of a Large Earthflow Using Archived Images, LiDAR-Derived DTM, and UAV-Based Remote Sensing

2020 ◽  
Vol 13 (1) ◽  
pp. 120
Author(s):  
Massimo Conforti ◽  
Michele Mercuri ◽  
Luigi Borrelli
Keyword(s):  
Morphological Changes ◽  
Source Area ◽  
Temporal Analysis ◽  
Earth Satellite ◽  
Google Earth ◽  
Aerial Photographs ◽  
Temporal Data ◽  
Transport Zone ◽  
Multi Temporal ◽  
System Data

In mountainous landscapes, where strongly deformed pelitic sediments outcrop, earthflows can dominate denudation processes and landscape evolution. This paper investigated geological and geomorphological features and space-time evolution over a 65-year time span (1954–2019) of a large earthflow, representative of wide sectors of the Apennine chain of southern Italy. The landslide, with a maximum length of 1.85 × 103 m, affects an area of 4.21 × 105 m2 and exhibits two source zones: a narrow and elongated transport zone and a lobate accumulation zone. Spatial and temporal morphological changes of the earthflow were assessed, comparing multi-source and multi-temporal data (aerial photographs, Google Earth satellite images, Light Detection and Ranging (LiDAR) and Unmanned Aerial Vehicles (UAV) system data). Geomorphic changes, quantified using Digital Terrain Models (DTMs) of differences, highlighted an extensive lowering of the topographic surface in the source area and a significant uplift at the landslide toe. Moreover, the multi-temporal analysis showed a high increase of landslide surface (more than 66%) during the last 65 years. The volumetric analyses showed that different sectors of the earthflow were active at different times, with different rates of topographic change. Overall, the used approach highlighted the great potentiality of the integration of multi-source and multi-temporal data for the diachronic reconstruction of morphological landslide evolution.

scholarly journals MULTI-TEMPORAL ANALYSIS OF WWII RECONNAISSANCE PHOTOS

2016 ◽  
Vol XLI-B8 ◽  
pp. 973-978
Author(s):  
P. Meixner ◽  
M. Eckstein
Keyword(s):  
Czech Republic ◽  
Temporal Analysis ◽  
Aerial Photographs ◽  
Adjacent Area ◽  
Unexploded Ordnance ◽  
Aerial Photo ◽  
Multi Temporal ◽  
Occupied Territories ◽  
The Impact ◽  
Open Cast

There are millions of aerial photographs from the period of the Second Wold War available in the Allied archives, obtained by aerial photo reconnaissance, covering most of today’s European countries. They are spanning the time from 1938 until the end of the war and even beyond. Photo reconnaissance provided intelligence information for the Allied headquarters and accompanied the bombing offensive against the German homeland and the occupied territories. <br><br> One of the initial principal targets in Bohemia were the synthetized fuel works STW AG (Sudetenländische Treibstoffwerke AG) in Zaluzi (formerly Maltheuren) near Most (formerly Brück), Czech Republic. The STW AG synthetized fuel plant was not only subject to bombing raids, but a subject to quite intensive photo reconnaissance, too - long before the start of the bombing campaign. With a multi-temporal analysis of the available imagery from international archives we will demonstrate the factory build-up during 1942 and 1943, the effects of the bombing raids in 1944 and the struggle to keep the plant working in the last year of the war. Furthermore we would like to show the impact the bombings have today, in form of potential unexploded ordnance in the adjacent area of the open cast mines.

scholarly journals Analysis of urban development by means of multi-temporal fragmentation metrics from LULC data

2015 ◽  
Vol XL-7/W3 ◽  
pp. 1411-1418 ◽  
Author(s):  
M. Sapena ◽  
L. A. Ruiz
Keyword(s):  
Urban Form ◽  
Urban Areas ◽  
Morphological Changes ◽  
Landscape Fragmentation ◽  
Growth Patterns ◽  
Temporal Data ◽  
Gis And Remote Sensing ◽  
Multi Temporal ◽  
Remote Sensing Techniques ◽  
Selection Of

The monitoring and modelling of the evolution of urban areas is increasingly attracting the attention of land managers and administration. New data, tools and methods are being developed and made available for a better understanding of these dynamic areas. We study and analyse the concept of landscape fragmentation by means of GIS and remote sensing techniques, particularly focused on urban areas. Using LULC data obtained from the European Urban Atlas dataset developed by the local component of Copernicus Land Monitoring Services (scale 1:10,000), the urban fragmentation of the province of Rome is studied at 2006 and 2012. A selection of indices that are able to measure the land cover fragmentation level in the landscape are obtained employing a tool called <i>IndiFrag</i>, using as input data LULC data in vector format. In order to monitor the urban morphological changes and growth patterns, a new module with additional multi-temporal metrics has been developed for this purpose. These urban fragmentation and multi-temporal indices have been applied to the municipalities and districts of Rome, analysed and interpreted to characterise quantity, spatial distribution and structure of the urban change. This methodology is applicable to different regions, affording a dynamic quantification of urban spatial patterns and urban sprawl. The results show that urban form monitoring with multi-temporal data using these techniques highlights urbanization trends, having a great potential to quantify and model geographic development of metropolitan areas and to analyse its relationship with socioeconomic factors through the time.

scholarly journals Sand Dune Dynamics Exploiting a Fully Automatic Method Using Satellite SAR Data

2020 ◽  
Vol 12 (23) ◽  
pp. 3993
Author(s):  
José Manuel Delgado Blasco ◽  
Marco Chini ◽  
Gert Verstraeten ◽  
Ramon F. Hanssen
Keyword(s):  
Temporal Analysis ◽  
Google Earth ◽  
The South ◽  
Western Sahara ◽  
Migration Rates ◽  
Multi Temporal ◽  
Barchan Dunes ◽  
Radar Satellite ◽  
Thresholding Algorithm ◽  
Dune Dynamics

This work presents an automatic procedure to quantify dune dynamics on isolated barchan dunes exploiting Synthetic Aperture RADAR satellite data. We use C-band datasets, allowing the multi-temporal analysis of dune dynamics in two study areas, one located between the Western Sahara and Mauritania and the second one located in the South Rayan dune field in Egypt. Our method uses an adaptive parametric thresholding algorithm and common geospatial operations. A quantitative dune dynamics analysis is also performed. We have measured dune migration rates of 2–6 m/year in the NNW-SSE direction and 11–20 m/year NNE-SSW for the South Rayan and West-Sahara dune fields, respectively. To validate our results, we have manually tracked several dunes per study area using Google Earth imagery. Results from both automatic and manual approaches are consistent. Finally, we discuss the advantages and limitations of the approach presented.

scholarly journals UAV Photogrammetry and Ground Surveys as a Mapping Tool for Quickly Monitoring Shoreline and Beach Changes

2020 ◽  
Vol 8 (1) ◽  
pp. 52 ◽  
Author(s):  
Antonio Zanutta ◽  
Alessandro Lambertini ◽  
Luca Vittuari
Keyword(s):  
Morphological Changes ◽  
Three Dimensional ◽  
Temporal Analysis ◽  
Anthropogenic Factors ◽  
Engineering Structures ◽  
Northern Adriatic ◽  
Mapping Tool ◽  
Multi Temporal ◽  
Maintenance Work ◽  
Three Dimensional Models

The aim of this work is to evaluate UAV photogrammetric and GNSS techniques to investigate coastal zone morphological changes due to both natural and anthropogenic factors. Monitoring morphological beach change and coastline evolution trends is necessary to plan efficient maintenance work, sand refill and engineering structures to avoid coastal drift. The test area is located on the Northern Adriatic coast, a few kilometres from Ravenna (Italy). Three multi-temporal UAV surveys were performed using UAVs supported by GCPs, and Post Processed Kinematic (PPK) surveys were carried out to produce three-dimensional models to be used for comparison and validation. The statistical method based on Crossover Error Analysis was used to assess the empirical accuracy of the PPK surveys. GNSS surveys were then adopted to evaluate the accuracy of the 2019 photogrammetric DTMs. A multi-temporal analysis was carried out by gathering LiDAR dataset (2013) provided by the “Ministero dell’Ambiente e della Tutela del Territorio e del Mare” (MATTM), 1:5000 Regional Technical Cartography (CTR, 1998; DBTR 2013), and 1:5000 AGEA orthophotos (2008, 2011). The digitization of shoreline position on multi-temporal orthophotos and maps, together with DTM comparison, permitted historical coastal changes to be highlighted.

scholarly journals DYNAMIC MORPHOLOGICAL CHANGES OF SPIT IN APRIL–MAY 2014 IN OPAK RIVER MOUTH, BANTUL, DAERAH ISTIMEWA YOGYAKARTA

2015 ◽  
Vol 6 (2) ◽  
Author(s):  
Yan Restu Freski ◽  
Agung Setianto ◽  
Srijono Srijono
Keyword(s):  
Global Positioning System ◽  
Wind Direction ◽  
Morphological Changes ◽  
River Mouth ◽  
Field Work ◽  
Google Earth ◽  
Aerial Photographs ◽  
Ocean Energy ◽  
Global Positioning ◽  
Periodic Models

As an oceanic coast, the beaches in the southern part of Java Island are predominantly influenced by ocean energy which is driven by periodical monsoon. This periodical process impacts the dynamic changes of spit in the river mouth system. Therefore, spit is a key to study the process in the southern coast of Java Island especially in Opak River Mouth. It needs a deep-root explanation about the morphological changes and the sedimentological mechanism. This research project was built by data such as spit geometry, aerial photographs and spontaneous wind direction. The supporting data included multitemporal IKONOS-Quickbird images from Google Earth and aerial photographs. These data were collected from field-work investigation and laboratorywork. The spit geometry was compiled by Global Positioning System handheld tracking along the edge of spit and crosschecked by aerial photograph using pole. The ultimate interpretation and periodic models were built by data reconstruction based on the geometry of spit and spontaneous wind direction. Spit changed weekly due to monsoon transition in April to May 2014. The morphological changes could be noted as the spit starting to be cut off by the highrate flow of Opak River. The process continued until the net drift moving westward. Keywords: April, coast, May, Opak river mouth, spit.

scholarly journals MULTI-TEMPORAL ANALYSIS OF WWII RECONNAISSANCE PHOTOS

2016 ◽  
Vol XLI-B8 ◽  
pp. 973-978 ◽  
Author(s):  
P. Meixner ◽  
M. Eckstein
Keyword(s):  
Czech Republic ◽  
Temporal Analysis ◽  
Aerial Photographs ◽  
Adjacent Area ◽  
Unexploded Ordnance ◽  
Aerial Photo ◽  
Multi Temporal ◽  
Occupied Territories ◽  
The Impact ◽  
Open Cast

There are millions of aerial photographs from the period of the Second Wold War available in the Allied archives, obtained by aerial photo reconnaissance, covering most of today’s European countries. They are spanning the time from 1938 until the end of the war and even beyond. Photo reconnaissance provided intelligence information for the Allied headquarters and accompanied the bombing offensive against the German homeland and the occupied territories. &lt;br&gt;&lt;br&gt; One of the initial principal targets in Bohemia were the synthetized fuel works STW AG (Sudetenländische Treibstoffwerke AG) in Zaluzi (formerly Maltheuren) near Most (formerly Brück), Czech Republic. The STW AG synthetized fuel plant was not only subject to bombing raids, but a subject to quite intensive photo reconnaissance, too - long before the start of the bombing campaign. With a multi-temporal analysis of the available imagery from international archives we will demonstrate the factory build-up during 1942 and 1943, the effects of the bombing raids in 1944 and the struggle to keep the plant working in the last year of the war. Furthermore we would like to show the impact the bombings have today, in form of potential unexploded ordnance in the adjacent area of the open cast mines.

scholarly journals Gaussian Kernel Based Classification Approach for Wheat Identification

2014 ◽  
Vol XL-8 ◽  
pp. 671-676 ◽  
Author(s):  
R. Aggarwal ◽  
A. Kumar ◽  
P. L. N. Raju ◽  
Y. V. N. Krishna Murthy
Keyword(s):  
Research Work ◽  
Temporal Analysis ◽  
Gaussian Kernel ◽  
Wheat Crop ◽  
Landsat 8 ◽  
Temporal Data ◽  
Crop Acreage ◽  
Fuzzy Classifier ◽  
Agrarian Economy ◽  
Multi Temporal

Agriculture holds a pivotal role in context to India, which is basically agrarian economy. Crop type identification is a key issue for monitoring agriculture and is the basis for crop acreage and yield estimation. However, it is very challenging to identify a specific crop using single date imagery. Hence, it is highly important to go for multi-temporal analysis approach for specific crop identification. This research work deals with implementation of fuzzy classifier; Possibilistic <i>c</i>-Means (PCM) with and without kernel based approach, using temporal data of Landsat 8- OLI (Operational Land Imager) for identification of wheat in Radaur City, Haryana. The multi- temporal dataset covers complete phenological cycle that is from seedling to ripening of wheat crop growth. The experimental results show that inclusion of Gaussian kernel, with Euclidean Norm (ED Norm) in Possibilistic c-Means (KPCM), soft classifier has been more robust in identification of the wheat crop. Also, identification of all the wheat fields is dependent upon appropriate selection of the temporal date. The best combination of temporal data corresponds to tillering, stem extension, heading and ripening stages of wheat crop. Entropy at testing sites of wheat has been used to validate the classified results. The entropy value at testing sites was observed to be low, implying lower uncertainty of existence of any other class at wheat test sites and high certainty of existence of wheat crop.

scholarly journals Spatial and multi-temporal analysis of deforestation and quantification of the remnant forests on Porto Rico Island, Paraná, Brazil

1999 ◽  
Vol 42 (1) ◽  
Author(s):  
João Batista Campos
Keyword(s):  
Social Transformation ◽  
Forest Cover ◽  
Temporal Analysis ◽  
The State ◽  
Aerial Photographs ◽  
Conservation Units ◽  
Land Occupation ◽  
Serra Do Mar ◽  
Multi Temporal ◽  
Colonization Process

The process of land occupation by the state of Paraná practically decimated its forests. Presently, only 7% from a total area of 83.41% is covered by forests. Most of them are now concentrated in the "Serra do Mar" and in the Iguaçu National Park. With regard to forest cover the most critical region is situated in the northwestern of the state with less than 1% of its area covered by forest. This restricted area mainly consists of conservation units and the islands of the high Paraná River floodplain. The present study consists of a spatial and multi-temporal analysis of deforestation and the quantification of the remnant forests on Porto Rico island (22º45'S; 53º15'W), which have their occupation history linked to the colonization process of the region. Historical aerial photographs of this region were used and the relationship of deforestation with the process of colonization and social transformation of the region is discussed.

scholarly journals Historical memory of the geology of Antioquia: Emil Grosse and The Carboniferous Tertiary of Antioquia

2021 ◽  
Vol 48 (2) ◽  
Author(s):  
Felipe Velásquez Ruiz ◽  
Marion Weber Scharff ◽  
Verónica Botero Fernández
Keyword(s):  
Historical Memory ◽  
Temporal Analysis ◽  
Google Earth ◽  
Field Trips ◽  
Geospatial Information ◽  
Thin Sections ◽  
Gold Silver ◽  
Multi Temporal ◽  
Western Side ◽  
Coal Reserves

The Carboniferous Tertiary of Antioquia (TCA), published by Dr. Jakob Emil Grosse in 1926, is one of the most influential scien­tific results of the Ordinance 16 of 1918 of the Honorable Departmental Assembly of Antioquia. The work began with the main objective of quantifying the coal reserves of Antioquia, and showing their surface extension on a scale of 1:50 000, in a region that includes the Arma river to the Puente de Occidente and from the western side of the Cauca River to the Romeral lineament and the plains of Ovejas. As a result, extensive work comprising petrological, structural, and economic geology studies was published in a manuscript published in Spanish and German, plus four attached maps, including coal, gold, silver, kaolin, and carbonate mines, among others. In the present work, the four TCA maps were digitized at a scale of 1:50 000 with Bessel 1841 datum and created a unified file in .kml format, which can be used directly in field trips, via Google Earth on cell phones, tablets, or computers. The metadata associates the information in the TCA with the Servicio Geológico Colombiano for the year 2015. In addition, 480 thin sections were scanned, which were donated by Dr. Grosse to the Escuela Nacional de Minas and today are in the Museum of Geosciences of the Faculty of Mines of the Universidad Nacional de Colombia. The geospatial information contained in each thin section was interpreted and georeferenced, obtaining, as a result, a list with north and west geographic coordinates, in degrees, minutes, and seconds. This unpublished information is available in the supplementary material of this article. Finally, nine field trips were made to the places referenced in 23 photographs of the TCA between 1920 and 1923 to take their current equivalent and thus carry out a multi-temporal analysis of the TCA.

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