A Study on Land-cover and Sedimentary Environment Changes Before and After the 2020 Flood in the Seomjin River Chimsil Wetland

2021 ◽  
Vol 28 (4) ◽  
pp. 15-30
Author(s):  
Ye-Seul Lee ◽  
Jeong-Cheol Lim ◽  
Dong-Ho Jang
Keyword(s):  
Land Cover ◽  
Sedimentary Environment ◽  
Environment Changes ◽  
Before And After ◽  
Seomjin River

Technology or policy? Drivers of land cover change in northwestern Spain before and after the accession to European Economic Community

2015 ◽  
Vol 45 ◽  
pp. 18-25 ◽  
Author(s):  
Eduardo Corbelle-Rico ◽  
Van Butsic ◽  
María José Enríquez-García ◽  
Volker C. Radeloff
Keyword(s):  
Land Cover ◽  
Land Cover Change ◽  
European Economic Community ◽  
Economic Community ◽  
European Economic ◽  
Before And After ◽  
Northwestern Spain

scholarly journals Identification of land cover changes before and after forest and land fires in conservation areas of North Sumatra, Indonesia

2021 ◽  
Vol 912 (1) ◽  
pp. 012026
Author(s):  
A S Thoha ◽  
N Sulistiyono ◽  
N Saraswita ◽  
D Wiranata ◽  
S M Sirait ◽  
...  
Keyword(s):  
Land Cover ◽  
Forest Fires ◽  
Forest Cover ◽  
Land Cover Changes ◽  
Conservation Areas ◽  
Field Verification ◽  
Before And After ◽  
Temporal And Spatial ◽  
Wildlife Reserve ◽  
North Sumatra

Abstract Damage to conservation areas in North Sumatra can be mitigated by understanding the pattern of land cover change, which can be performed by detecting hotspots and their temporal and spatial patterns. This study aimed to explore land cover spatially and temporally before and after forest fires in the conservation areas in North Sumatra. Data on the hotspots, satellite imagery, land cover maps, and field verification were used to see the transition of land cover changes before and after forest and land fires. Temporal and spatial analysis was employed to see the trend of land cover changes of the land before and after the fires. Field verification was conducted through observations and interviews related to land cover conditions in the field caused by forest and land fires. This study found three conservation areas with the highest number of hotspots in 2014 in the period 2001-2019, including Gunung Leuser National Park (GLNP), Dolok Surungan Wildlife Reserve, and Barumun Wildlife Reserve during the 2001-2019 period. In 2010 and 2014 there were strong indications of a large area of land burning in three conservation areas. The burned land was near the outer boundary of the conservation areas and continued to expand into the areas over time. The area of the non-forest cover was relatively stable between periods prior to the discovery of several hotspots. Changes in forest cover to non-forest have become more widespread after the highest number of hotspots were detected in 2010. Conservation area management and various parties need to prevent the expansion of forest clearing considering the strategic role especially in GNLP as a world heritage.

Effect of landslides on the structural characteristics of land-cover based on complex networks

2017 ◽  
Vol 31 (22) ◽  
pp. 1750156 ◽  
Author(s):  
Jing He ◽  
Chuan Tang ◽  
Gang Liu ◽  
Weile Li
Keyword(s):  
Land Cover ◽  
Complex Networks ◽  
Power Law ◽  
Satellite Images ◽  
Structural Characteristics ◽  
Power Law Distribution ◽  
Graph Topology ◽  
Linear Coefficient ◽  
Area Distribution ◽  
Before And After

Landslides have been widely studied by geologists. However, previous studies mainly focused on the formation of landslides and never considered the effect of landslides on the structural characteristics of land-cover. Here we define the modeling of the graph topology for the land-cover, using the satellite images of the earth’s surface before and after the earthquake. We find that the land-cover network satisfies the power-law distribution, whether the land-cover contains landslides or not. However, landslides may change some parameters or measures of the structural characteristics of land-cover. The results show that the linear coefficient, modularity and area distribution are all changed after the occurence of landslides, which means the structural characteristics of the land-cover are changed.

The effect of the 2019 eruption on the Island of Stromboli (Aeolian Islands UNESCO site, Italy).

2020 ◽  
Author(s):  
Agnese Turchi ◽  
Federico Di Traglia ◽  
Tania Luti ◽  
Iacopo Zetti ◽  
Riccardo Fanti
Keyword(s):  
Land Cover ◽  
Spatial Resolution ◽  
Volcanic Activity ◽  
Landscape Patterns ◽  
Social Investigation ◽  
Aeolian Islands ◽  
Before And After ◽  
Geomorphological Evolution ◽  
The Impact ◽  
Sentinel 2

<p>Stromboli island (Italy) provides an outstanding record of volcanic island geomorphological evolution, and of ongoing volcanic phenomena with the example of the “Strombolian” types of eruption. The vegetation of Stromboli includes endemic species, some of which are exclusive to the Aeolian Islands. The western side of the island is characterized by olive trees that were cultivated by exploiting terraces up to high altitudes. All this makes an unique landscape, results of interaction between volcanic activity, geomorphological evolution, and traditional land management. Wildfires at the island of Stromboli are common phenomena related to the fallout of incandescent material on vegetation. Wildfires with small extensions are usually generated by explosions more intense “major” explosions, while large-scale wildfire have been triggered by larger scale activity, called “paroxysms”.</p><p>On 3<sup>rd</sup> July 2019 a paroxysm without long-term precursors has occurred, followed by lava flows from a vent localized in the SW crater area and sporadically from the NE one. Afterwards, on 28<sup>th</sup> August 2019, a new paroxysmal explosion has occurred followed by strong volcanic activity, culminating with a lava flow from the SW-Central crater area.</p><p>This study is focusing on environmental aftermath of the 2019 Stromboli eruptions. The analysis of Land Cover (LC) and Land Use (LU) changes is used to describe the impact on the environment of the island. The detection of impacted areas is mainly based on the integration of very high-spatial-resolution PLEIADES-1, moderate-spatial-resolution SENTINEL-2 satellite imagery, and field surveys. Normalized Burn Ratio (NBR), Normalized Difference Vegetation Index (NDVI), and Relativized Burn Ratio (RBR) were used to map the areas covered by fires. NBR easily allows to easily identify the areas impacted by wildfire and the degree of severity of the damage. This index is calculated on two SENTINEL-2 images acquired on different dates before and after the fire (after a not excessively high number of days, especially if the area affected by the fire consists mainly of pasture or low bush). RBR is obtained as the difference between the NBR index of the images acquired before and after the event. LC and LU classifications has involved the detection of new classes whose details have been calibrated on different reduction scales from 1:2.000 to 1:10.000, following the environmental units that made up the Strombolian landscape. New LC and LU classifications are the result of the intersection between classes of CORINE Land Cover project (CLC) and local landscape patterns. Field survey has been useful to conduce semi-structured interviews to the local population; the purpose of the social investigation was to collect detailed and direct information about damages.</p><p>The most impacted areas by tephra fallout are located in the south-western and southern part of the island, nearby the village of Ginostra. The results of multi-temporal comparison show that fire-damaged areas amount to 39% of the total area of the island. Artificial areas have not been particularly impacted (max 14% of decrease), whereas agricultural and semi-natural vegetated areas show a much more consistent decrease of 34% and 81%, respectively.</p>

The climatic control of sedimentary environment changes during the Weichselian – An example from the Middle Vistula Region (eastern Poland)

2019 ◽  
Vol 501 ◽  
pp. 120-134 ◽  
Author(s):  
Paweł Zieliński ◽  
Robert J. Sokołowski ◽  
Michał Jankowski ◽  
Karol Standzikowski ◽  
Stanisław Fedorowicz
Keyword(s):  
Sedimentary Environment ◽  
Environment Changes ◽  
Climatic Control

scholarly journals Effects of Visual Active Deceleration Devices on Controlling Vehicle Speeds in a Long Downhill Tunnel of an Expressway

2021 ◽  
Vol 11 (15) ◽  
pp. 6753
Author(s):  
Fu Wang ◽  
Dengjun Gu ◽  
Yuanyuan Li ◽  
Wei Liu ◽  
Guoyun Wang
Keyword(s):  
Traffic Safety ◽  
Vehicle Speed ◽  
Road Tunnel ◽  
Obvious Effect ◽  
Average Speed ◽  
Environment Changes ◽  
Fold Line ◽  
Before And After ◽  
Passing Ability ◽  
Tunnel Entrance

Because the inside of a road tunnel is a closed strip, the driving environment changes suddenly at the tunnel entrance and exit, which is why accidents occur more frequently in tunnels than elsewhere. Based on visual psychology, reverse-perspective-illusion deceleration lines (RPIDLs) and visual-intervention deceleration devices (VIDDs) were designed to control vehicle speeds near the entrance and in the middle of a tunnel, respectively. Then, to assess the speed-controlling performance of the RPIDLs and VIDDs for vehicles in a long downhill tunnel, laser velocimeters were used to measure the vehicle speeds at different observation points in the tunnel before and after implementing the RPIDLs and VIDDs. The results show that the RPIDLs and VIDDs decreased the average vehicle speed and controlled its dispersion effectively. The 60 m RPIDLs improved the traffic safety in the tunnel without lessening the passing ability therein. The slash-line VIDD had no obvious effect on the maximum vehicle speeds in the middle of the tunnel. Both the 90° fold-line VIDD and the four-yellow–four-white VIDD decreased the maximum vehicle speeds significantly. The 60 m RPIDLs and the 90° fold-line VIDD gave the best deceleration effect on vehicles near the entrance and in the middle of the tunnel, respectively, and controlled the average speed and its dispersion effectively.

scholarly journals Identification of land cover trajectories before and after forest and land fires in Jambi Province in 2019

2021 ◽  
Vol 782 (3) ◽  
pp. 032011
Author(s):  
A S Thoha ◽  
N Istima ◽  
I A Daulay ◽  
D L N Hulu ◽  
S Budi ◽  
...  
Keyword(s):  
Land Cover ◽  
Before And After

scholarly journals REDUCTION OF STRIPING NOISE IN OVERLAPPING LIDAR INTENSITY DATA BY RADIOMETRIC NORMALIZATION

2016 ◽  
Vol XLI-B1 ◽  
pp. 151-156
Author(s):  
Wai Yeung Yan ◽  
Ahmed Shaker
Keyword(s):  
Land Cover ◽  
Environmental Parameters ◽  
Airborne Lidar ◽  
Lidar Data ◽  
Intensity Data ◽  
Joint Histogram ◽  
Before And After ◽  
Range Equation ◽  
Parallel Strips ◽  
Airborne Lidar Data

To serve seamless mapping, airborne LiDAR data are usually collected with multiple parallel strips with one or two cross strip(s). Nevertheless, the overlapping regions of LiDAR data strips are usually found with unbalanced intensity values, resulting in the appearance of stripping noise. Despite that physical intensity correction methods are recently proposed, some of the system and environmental parameters are assumed as constant or not disclosed, leading to such an intensity discrepancy. This paper presents a new normalization technique to adjust the radiometric misalignment found in the overlapping LiDAR data strips. The normalization technique is built upon a second-order polynomial function fitted on the joint histogram plot, which is generated with a set of pairwise closest data points identified within the overlapping region. The method was tested on Teledyne Optech’s Gemini dataset (at 1064 nm wavelength), where the LiDAR intensity data were first radiometrically corrected based on the radar (range) equation. Five land cover features were selected to evaluate the coefficient of variation (<i>cv</i>) of the intensity values before and after implementing the proposed method. Reduction of <i>cv</i> was found by 19% to 59% in the Gemini dataset, where the striping noise was significantly reduced in the radiometrically corrected and normalized intensity data. The Gemini dataset was also used to conduct land cover classification, and the overall accuracy yielded a notable improvement of 9% to 18%. As a result, LiDAR intensity data should be pre-processed with radiometric correction and normalization prior to any data manipulation.

scholarly journals Late Pleistocene Sedimentary Environment Changes of the Takatomi Lowland in Gifu Prefecture, Central Japan

2004 ◽  
Vol 77 (13) ◽  
pp. 924-939
Author(s):  
Akio MORIYAMA ◽  
Takehiko SUZUKI ◽  
Hisanori KAKO ◽  
Toshio NAKAMURA
Keyword(s):  
Late Pleistocene ◽  
Sedimentary Environment ◽  
Central Japan ◽  
Environment Changes ◽  
Gifu Prefecture

scholarly journals Sedimentary environment changes during the Early-Middle Pleistocene transition as recorded by the Daumantai sections in Lithuania

2012 ◽  
Vol 56 (1) ◽  
Author(s):  
Valentinas BALTRUNAS ◽  
Rimante ZINKUTE ◽  
Vaida ŠEIRIENE ◽  
Valentas KATINAS ◽  
Bronislavas KARMAZA ◽  
...  
Keyword(s):  
Sedimentary Environment ◽  
Middle Pleistocene ◽  
Environment Changes ◽  
Middle Pleistocene Transition
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