TXT-tool 1.081-3.1 Landslide Recognition and Mapping Using Aerial Photographs and Google Earth

2017 ◽  
pp. 67-82
Author(s):  
Hiromitsu Yamagishi ◽  
Rigoberto Moncada
Keyword(s):  
Google Earth ◽  
Aerial Photographs

Paleogeography of the Sartan Glaciation of the Hamar-Daban Ridge (Southern Baikal Region)

2020 ◽  
Vol 26 (7) ◽  
pp. 17-32
Author(s):  
F. Enikeev ◽  
Keyword(s):  
Baikal Region ◽  
Lower Boundary ◽  
Google Earth ◽  
Aerial Photographs ◽  
Mountainous Regions ◽  
Mountain Valley ◽  
The Subject ◽  
Remote Identification ◽  
Glacial Landforms ◽  
The Last Glacial

Based on the methods of remote identification and spatial fixation of glacial relief forms with their subsequent geomorphological analysis, the lower boundary of the chionosphere, the glacier feeding areas, boundaries and glacier parameters of the maximum phase of the Last Glacial Maximum glaciers (MIS 2) of the mountainous regions of Southern Baikal region were established and a paleogeographic map was constructed. The object of this study was the dynamics of exogenous processes during the development of the permafrost zone in the Southern Baikal region. The subject of the study is the glacial landforms of the Late Neopleistocene of the Khamar-Daban ridge. Glaciers were reconstructed using absolute marks of destructive and accumulative traces using topographic maps, aerial photographs and satellite images. Paleogeographic constructions were carried out using computer programs Google Earth Pro and SAS. Planet release. The final generalization of the primary material was carried out on a topographic basis on a scale of 1:500,000. The results obtained made it possible to establish the depression of the snow boundary at the maximum of the last cooling at 1300…1400 m in relation to the current climatic and to reveal the features of deformation of the lower border of the chionosphere. The reconstruction of the paleogeographic situation showed the spread of simple and complex (dendritic) types of mountain-valley glaciers, as well as mesh and mountain-glaciation glaciers in some parts of the mountain top. It was established that in the region of the maximum depression of the snowy border, some glaciers reached the coast of Lake Baikal, which could contribute to dilution of secondary aureoles and the displacement of placer mineral deposits. On the southern slope of the Khamar-Daban ridge, the snow boundary passed at an altitude of 1800…2200 m, and glaciation was limited to the development of only circus and circus-valley glaciers of small sizes, contributing to the formation of placers far removed from indigenous sources

Google Earth Revisited

2017 ◽  
Vol 1 (1) ◽  
pp. 77-88 ◽  
Author(s):  
Dimitris Kaimaris ◽  
Petros Patias ◽  
Olga Georgoula
Keyword(s):  
Digital Terrain Model ◽  
Google Earth ◽  
Aerial Photographs ◽  
Editorial Team ◽  
Research Activity ◽  
Ongoing Research ◽  
Terrain Model ◽  
Digital Terrain ◽  
The City ◽  
Ongoing Research Activity

The interpretation of photos and the processing of Google Earth imagery which allowed the “random” discovery, as a result of a non-systematical research, of a numerous marks of buried constructions in the wide area of the city of Larisa (Thessaly, Greece) is presented in this project. Additional data as aerial photographs over time, satellite images and the digital terrain model of the same area has been used. From the numerous marks, this project mainly focuses on three positions where the positive marks (soilmarks or/and cropmarks), circular or/and linear, reveal on a satisfying level covered construction of great dimensions. The ongoing research activity of the editorial team along with this research highlights the advantages of using Google Earth imagery in an attempt to “random” mark of unknown covered constructions, or, in the frame of a systematic survey of aerial and remote sensing archaeology, as additional and not exclusive source of information.

Dormant and Active Landslides Classification Using Machine Learning Algorithms Coupled With Geological Field Inspection: Pohang Case Study

2020 ◽  
Author(s):  
Omar F. Althuwaynee ◽  
In-Tak Hwang ◽  
Hyuck-jin Park ◽  
Swang-Wan Kim ◽  
Ali Aydda
Keyword(s):  
Machine Learning ◽  
Landslide Susceptibility ◽  
Field Work ◽  
Google Earth ◽  
Aerial Photographs ◽  
Susceptibility Map ◽  
Alluvial Deposits ◽  
Basic Field ◽  
Entire Study ◽  
Extreme Gradient Boosting

<p>In 1998, intense rainfall events hit the Pohang state, south west of Korea, which results in highest number of landslides registered in this area (generally the area has a relatively short history of landslide inventorying). The current inventory was digitized using Aerial photographs (lack of photogeological stereoscopic analysis of the aerial images) and coupled with basic field verification (due to limit funding available). Leaving the applied susceptibility maps models performed, using this inventory, with high degree of uncertainty.  Currently a research initiative carried to audit the landslide inventory using freely available aerial photographs and the time tuning function in Google earth for aerial archives. We notice some slopes area covered with deformed forest types that is similar in texture to that seen in digitized locations of landslides inventory. Due to long retune period of similar rainfall event, and with an assumption that the available landslides inventory might not complete. A certain hypothesis of additional investigation including field work to audit the landslides incidents is highly needed. In the current research, we assumed that, some dormant slopes caused by the 1998 event can be reactivated with the current extreme (uncontrolled) uses of slopes by human activities (constructions of real estate’s projects). To that end, a methodology of three main stages were proposed.</p><p>Stage one; Dormant susceptibility map (DSM) coupled with landslide susceptibility map will be produced. Machine learning supervised classification of eXtreme Gradient Boosting algorithms and Ensemble Random Forest, that run on tree-based classification assumption considering only active and dormant landslides as well as stable ground. Stage two; field work needs to be designed by geological and geotechnical experts to collect the doubtful locations by guidance of DSM and consider the new locations as dormant inventory. However, the areas of low dormant susceptibility (or mutual zones with Landslide susceptibility) will be recommended for advanced filed work and soil sampling test to complete the landslides identification of such highly urbanized area. Stage three; knowing the contour depths of diluvial and alluvial deposits can be useful for extracting areas that are more prone to landslides. Especially in the case of a rigid bedrock beneath the diluvial crust. Therefore, reconstructing the Quaternary formation thickness using boreholes repository and then represent the entire study area using CoKriging surface interpolation technique with elevation model. The current research results will provide us a better understanding of landcover stability conditions and their spatial prediction features.</p><div> <div> </div> <div>[email protected]</div> <div>[email protected]</div> </div>

scholarly journals SISTEMATIZAÇÃO DE UMA EXPERIÊNCIA AGROECOLÓGICA NO CERRADO BRASILEIRO: SUBSÍDIOS PARA O PLANEJAMENTO DE UNIDADES PRODUTIVAS DE BASES ECOLÓGICAS

Nativa ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 573-581
Author(s):  
Isabel Corrêa Fontes Chagas de Oliveira ◽  
Renato Linhares De Assis ◽  
Adriana Maria de Aquino
Keyword(s):  
Satellite Images ◽  
Social Economic ◽  
Google Earth ◽  
Aerial Photographs ◽  
Construction Process ◽  
Brazilian Cerrado ◽  
Way Of Life ◽  
Complex Dynamic ◽  
Field Surveys ◽  
Midwest Region

Este estudo consiste na sistematização de uma experiência agroecológica a partir do ordenamento e síntese dos processos do seu uso e ocupação. A experiência iniciou em 1984, em unidade agroecológica pioneira, com características neorurais, na região Centro-oeste do Brasil. A pesquisa contou com entrevistas não estruturadas, levantamento de campo, pesquisa bibliográfica e documental (fotografias, revistas, jornais, imagens de satélite e fotografias aéreas). Utilizou-se a ferramenta Google Earth para avaliar o mosaico de agroecossistemas resultante da ação agroecológica no espaço e tempo. Os resultados apontaram uma dinâmica complexa do processo de construção de agroecossistemas e redes sociais, configurando-se num desenho agroecológico que ultrapassa as fronteiras físicas da propriedade. O processo de síntese e análise relatado, além de empoderar os protagonistas, traz a luz do conhecimento científico aprendizados de uma experiência empírica de um modo de vida integrado à natureza, com riqueza em variedade, diversidade e possibilidades nos processos biológicos, sociais, econômicos, éticos, morais e culturais, que pode inspirar e subsidiar outras iniciativas de base agroecológica. Palavras-chave: neoruralidade; gerenciamento agroecológico; redesenho da paisagem; agroecossistemas.   Systematization of an agroecological experience in the Brazilian Cerrado: subsidies for the planning of productive units of ecological bases   ABSTRACT: This study consists of the systematization of an agroecological experience from the ordering and synthesis of the processes of its use and occupation. The experience began in 1984, in a pioneering agroecological unit, with neorural characteristics, in the Midwest region of Brazil. The research included unstructured interviews, field surveys, bibliographic and documentary research (photographs, magazines, newspapers, satellite images, and aerial photographs). The Google Earth tool was used to evaluate the mosaic of agroecosystems resulting from agroecological action in space and time. The results pointed toward a complex dynamic of the construction process of agroecosystems and social networks, configuring itself in an agroecological design that goes beyond the physical boundaries of the property. The reported process of synthesis and analysis, in addition to empowering the protagonists, brings to light scientific knowledge learning from an empirical experience of a way of life integrated with nature, with a wealth of variety, diversity, and possibilities in biological, social, economic, ethical, moral and cultural processes, which can inspire and subsidize other agroecological initiatives. Keywords: neorurality; agroecological management; landscape redesign; agroecosystems.

Google Earth Revisited

2019 ◽  
pp. 724-735
Author(s):  
Dimitris Kaimaris ◽  
Petros Patias ◽  
Olga Georgoula
Keyword(s):  
Digital Terrain Model ◽  
Google Earth ◽  
Aerial Photographs ◽  
Editorial Team ◽  
Research Activity ◽  
Ongoing Research ◽  
Terrain Model ◽  
Digital Terrain ◽  
The City ◽  
Source Of Information

The interpretation of photos and the processing of Google Earth imagery which allowed the “random” discovery, as a result of a non-systematical research, of a numerous marks of buried constructions in the wide area of the city of Larisa (Thessaly, Greece) is presented in this project. Additional data as aerial photographs over time, satellite images and the digital terrain model of the same area has been used. From the numerous marks, this project mainly focuses on three positions where the positive marks (soilmarks or/and cropmarks), circular or/and linear, reveal on a satisfying level covered construction of great dimensions. The ongoing research activity of the editorial team along with this research highlights the advantages of using Google Earth imagery in an attempt to “random” mark of unknown covered constructions, or, in the frame of a systematic survey of aerial and remote sensing archaeology, as additional and not exclusive source of information.

scholarly journals Impact of Anthropogenic Facilities on the Morphodynamic Evolution of an Estuarine System: The Case of Oum Er-Rbia Estuary (Azemmour, Morocco)

2019 ◽  
Vol 7 (8) ◽  
pp. 248 ◽  
Author(s):  
Mustapha El Jakani ◽  
Said Ettazarini ◽  
Hassan Rhinane ◽  
Mohammed Raji ◽  
Mohamed Radid ◽  
...  
Keyword(s):  
River Flow ◽  
Field Work ◽  
Google Earth ◽  
Aerial Photographs ◽  
Estuarine System ◽  
Watershed Area ◽  
Morphologic Evolution ◽  
Gis Environment ◽  
Morphodynamic Evolution ◽  
Sand Deposition

The Oum Er-Rbia estuary is located on the Atlantic littoral of Morocco. It undergoes severe clogging due to the sand deposition in its outlet. The current study examined the indicators of the morphodynamic evolution in the littoral system including the Oum Er-Rbia estuary and the neighboring beaches over 1970–2017. The methodology adopted was based on the analysis and the interpretation of aerial photographs and Google Earth images under a GIS environment and field work. The morphodynamic evolution was discussed by taking into account the evolution of hydraulic facilities installed in the watershed area, especially the construction of dams, as well as the dredging works in the Oum Er-Rbia estuary. The results highlight the morphologic evolution estimated in terms of surface units observed in the estuary and the neighboring beaches. The evolution of the littoral system was mainly influenced by the closest dam location and by the dredging works, in addition to the regulation of the river flow by the installation of hydraulic facilities upstream.

Mapping Giant Reed (Arundo donax) Infestations along the Texas–Mexico Portion of the Rio Grande with Aerial Photography

2011 ◽  
Vol 4 (4) ◽  
pp. 402-410 ◽  
Author(s):  
Chenghai Yang ◽  
James H. Everitt ◽  
John A. Goolsby
Keyword(s):  
Aerial Photography ◽  
Rio Grande ◽  
Economic Loss ◽  
The United States ◽  
Water Area ◽  
Google Earth ◽  
Aerial Photographs ◽  
Giant Reed ◽  
Invasive Weed ◽  
Aerial Photos

AbstractGiant reed is an invasive weed throughout the southern half of the United States, with the densest stands growing along the coastal rivers of southern California and the Rio Grande in Texas. The objective of this study was to use aerial photography to map giant reed infestations and to estimate infested areas along the Texas–Mexico portion of the Rio Grande. Aerial color-infrared photographs were taken along the Rio Grande between Brownsville and El Paso, TX, in June and July 2002. Based on the aerial photographs and ground surveys, the portion of the river from San Ygnacio to Lajitas, which has a river length of 898 km (558 mi), was found to be infested with giant reed. To estimate infested areas along both sides of the river, 65 (13.5%) of the 480 aerial photographs taken between Lajitas and San Ygnacio were randomly selected. The aerial photographs were digitized, rectified to Google Earth imagery, and then classified using maximum-likelihood classification techniques. The infested areas on both sides of the river, as well as water area and river length, from each photographic image were determined. Based on the estimates from the 65 aerial photos, the ratio of giant reed area to water area and the ratio of giant reed area to river length were calculated. The total giant reed area along the Rio Grande between Lajitas and San Ygnacio was estimated to be 5,981 ha (14,779 ac) with 3,714 ha or 62% on the U.S. side and 2,267 ha or 38% on the Mexican side. This study provides the first accurate estimates of giant reed infestations along the Texas–Mexico portion of the Rio Grande and will be useful for both land owners and government agencies for the estimation of water usage and economic loss and for the management and control of giant reed.

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 From the Landslide to the Mangrove; Coupling Sediment Supply Pulses and River Sediment Deposits in the context of Climate Change in Thailand.

2021 ◽  
Author(s):  
Jerome Curoy ◽  
Raymond Ward ◽  
John Barlow
Keyword(s):  
Grain Size ◽  
Google Earth ◽  
Sediment Supply ◽  
Aerial Photographs ◽  
Grain Size Analysis ◽  
Size Analysis ◽  
Negative Power ◽  
Scaling Properties ◽  
Surface Areas ◽  
Southern Thailand

<p>In Thailand landslides and flooding are two major natural disasters affecting more than 11 million people living in coastal provinces. Such events have significant human and economic impacts. For example, in 1988, landslides resulted in 373 deaths and caused up to US$80 million in damage (Tanavud, 2008); in 2011, floods and landslides affected more than two million people and killed 53 across Southern Thailand with a village of about 100 households being buried by one large slide (EarthObservatory, 2021). Landslides in the Krabi province in Thailand are predominantly shallow and rainfall-induced, they also represent the main source of sediment pulses for coastal environments such as mangroves and beaches. This study aims at investigating the link between sediment availability from 3 river catchments in the province of Krabi in Southern Thailand and sedimentation rate evolution in mangroves directly downstream in order to understand coastal the sediment shortages and therefore coastal erosion in that area.</p><p>Landslide inventories were evaluated using high resolution imagery (<10m) such as aerial photographs, Theos and EO-1 satellite imagery, Google Earth historical tool covering a time period from 2007 to present. Calculations of the surface areas and volumes of landslides was calculated in ArcMap using the formulae developed by Larsen et al. (2010). Landslide erosion was modelled using an approach based upon the negative power law scaling properties of rockfall magnitude–frequency distribution to establish total volumes of sediment for specific years or seasons.</p><p>Core samples taken in the mangroves near the river mouths were used to identify markers of landslide events and associated sediment cascades based on grain size distribution and <sup>137</sup>Cs dating.</p><p>Preliminary results show sedimentation rates in the mangroves from 0.9 to 2 mm/year since 1963 and sediment volumes made available to transport from 0.3 to 68300 m<sup>3</sup>/year since 2007 across the 3 catchments.</p><p>Grain size analysis shows variations of the D<sub>50</sub> and the sorting coefficient throughout the sediment recording indicators of landslides and high intensity rainfall events.</p>

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.

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