scholarly journals Urban Landscape Information Atlas and Model System Based on Remote Sensing Images

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Tian Hu ◽  
Wenbin Gong
Keyword(s):  
Remote Sensing ◽  
Urban Development ◽  
Urban Areas ◽  
Urban Landscape ◽  
Arable Land ◽  
Model System ◽  
City Image ◽  
Remote Sensing Images ◽  
The People ◽  
Landscape Information

City landscape is an element of city image, and city landscape logo should also belong to the entire system of the city image logo. Since the reform and opening up, China’s economic construction industry has attracted worldwide attention, and the improvement of people’s living standards has led to the continuous development of urban construction. The original urban style is gradually replaced by high-rise buildings, the differences between cities are getting smaller and smaller, and the people living in them have gradually abandoned the inheritance of various cultures and customs. This paper aims to study the urban landscape information map and its model system based on remote sensing images. With the support of remote sensing image technology and geographic information system platform, the urban landscape information map model system is developed, which can vividly reflect the changes in the urban landscape pattern. The urban landscape information map is used to display and reveal the spatial evolution of the urban landscape in the process of urban development. Result of empirical analysis: it summarizes the methods of geoscience information map and urban landscape information map and establishes the goal and content of researching urban landscape information map. And it provides a basis for solving the problems of urban development and urban management. In 2021, Shanghai’s urban areas have occupied more than 80%. It is conceivable that the area of arable land must be very small, but the area of green land still accounts for 40%; compared with last year, it is still an increase of 6%.

Fuzzy segmentation of urban areas in panchromatic remote sensing images

2009 ◽  
Vol 28 (12) ◽  
pp. 3112-3115
Author(s):  
Yan CHEN ◽  
Shou-hong WAN ◽  
Yu-chang GONG
Keyword(s):  
Remote Sensing ◽  
Urban Areas ◽  
Remote Sensing Images ◽  
Fuzzy Segmentation

scholarly journals Shadow Detection and Compensation from Remote Sensing Images under Complex Urban Conditions

2021 ◽  
Vol 13 (4) ◽  
pp. 699
Author(s):  
Tingting Zhou ◽  
Haoyang Fu ◽  
Chenglin Sun ◽  
Shenghan Wang
Keyword(s):  
Remote Sensing ◽  
Urban Areas ◽  
Mean Shift ◽  
Color Space ◽  
Compensation Method ◽  
Shadow Detection ◽  
Processing Unit ◽  
Shadow Region ◽  
Remote Sensing Images ◽  
Shadow Compensation

Due to the block of high-rise objects and the influence of the sun’s altitude and azimuth, shadows are inevitably formed in remote sensing images particularly in urban areas, which causes missing information in the shadow region. In this paper, we propose a new method for shadow detection and compensation through objected-based strategy. For shadow detection, the shadow was highlighted by an improved shadow index (ISI) combined color space with an NIR band, then ISI was reconstructed by the objects acquired from the mean-shift algorithm to weaken noise interference and improve integrity. Finally, threshold segmentation was applied to obtain the shadow mask. For shadow compensation, the objects from segmentation were treated as a minimum processing unit. The adjacent objects are likely to have the same ambient light intensity, based on which we put forward a shadow compensation method which always compensates shadow objects with their adjacent non-shadow objects. Furthermore, we presented a dynamic penumbra compensation method (DPCM) to define the penumbra scope and accurately remove the penumbra. Finally, the proposed methods were compared with the stated-of-art shadow indexes, shadow compensation method and penumbra compensation methods. The experiments show that the proposed method can accurately detect shadow from urban high-resolution remote sensing images with a complex background and can effectively compensate the information in the shadow region.

scholarly journals A Modified Bare Soil Index to Identify Bare Land Features during Agricultural Fallow-Period in Southeast Asia Using Landsat 8

Land ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 231
Author(s):  
Can Trong Nguyen ◽  
Amnat Chidthaisong ◽  
Phan Kieu Diem ◽  
Lian-Zhi Huo
Keyword(s):  
Remote Sensing ◽  
Land Cover ◽  
Urban Areas ◽  
Near Infrared ◽  
Urban Landscape ◽  
Bare Soil ◽  
Critical Element ◽  
Landsat 8 ◽  
Climate Conditions ◽  
Fallow Period

Bare soil is a critical element in the urban landscape and plays an essential role in urban environments. Yet, the separation of bare soil and other land cover types using remote sensing techniques remains a significant challenge. There are several remote sensing-based spectral indices for barren detection, but their effectiveness varies depending on land cover patterns and climate conditions. Within this research, we introduced a modified bare soil index (MBI) using shortwave infrared (SWIR) and near-infrared (NIR) wavelengths derived from Landsat 8 (OLI—Operational Land Imager). The proposed bare soil index was tested in two different bare soil patterns in Thailand and Vietnam, where there are large areas of bare soil during the agricultural fallow period, obstructing the separation between bare soil and urban areas. Bare soil extracted from the MBI achieved higher overall accuracy of about 98% and a kappa coefficient over 0.96, compared to bare soil index (BSI), normalized different bare soil index (NDBaI), and dry bare soil index (DBSI). The results also revealed that MBI considerably contributes to the accuracy of land cover classification. We suggest using the MBI for bare soil detection in tropical climatic regions.

Abstracting of suspected illegal land use in urban areas using case-based classification of remote sensing images

2008 ◽  
Author(s):  
Fulong Chen ◽  
Chao Wang ◽  
Chengyun Yang ◽  
Hong Zhang ◽  
Fan Wu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Urban Areas ◽  
Remote Sensing Images ◽  
Case Based

scholarly journals Evaluation criteria and methods of environmental conditions in urban areas using remotely sensed data

2014 ◽  
pp. 39-47
Author(s):  
Liudmila Lischenko ◽  
Volodimir Filipovich ◽  
Anton Mychak ◽  
Natalia Pazynych ◽  
Alexander Teremenko
Keyword(s):  
Remote Sensing ◽  
Environmental Conditions ◽  
Urban Areas ◽  
Urban Landscape ◽  
Evaluation Criteria ◽  
Remote Sensing Data ◽  
Spectral Space ◽  
Integrated Analysis ◽  
Remotely Sensed Data ◽  
Space Images

Methodology of integral estimation of the ecological state of urban areas is examined with remote sensing data. The digitalstudy of spectral descriptions of landscape-functional zones of city onspaceimagesis used. A result of their integrated analysis is the districting of urban area relation to the level of prosperity and environmental conditions. It is proposed to distinguish six levels as follows: comfortable, optimal, satisfactory, inadequate, pre-crisis and emergency. Key words: remote sensing, multi spectral space images, urban landscape, municipal territory, environmental conditions.

scholarly journals O Mais Querido Brazil - The Most Beloved of Brazil

2021 ◽  
Author(s):  
Branislav Tosic
Keyword(s):  
Urban Areas ◽  
Landscape Architecture ◽  
Urban Landscape ◽  
Public Spaces ◽  
Urban Setting ◽  
Design Strategies ◽  
Key Factors ◽  
The People ◽  
Fixed Design ◽  
The Many

<p><b>Since the early stages of stadium design, landscape architecture has frequently been overlooked, with the space surrounding these structures relegated to providing parking and accessways. In other words, rather than give consideration to creating aesthetically appealing spaces, the tendency has instead been to create sterile and unappealing concrete jungles, that pay little or no attention to how the users might experience the space as they move through it. This effectively means that potentially attractive public spaces are not being utilised, which is increasingly problematic as urban areas become ever more densely populated. </b></p><p>This issue will be considered by proposing a series of ideas that could be used in the development of a new stadium for the Brazilian football club Flamengo. This club, which is one of the biggest and most popular in South America, currently has its home at the </p><p>Maracana stadium in Rio de Janeiro. As a result of the privatisation of the previously publicly-owned stadium, Flamengo has decided that it would prefer to develop a new stadium on an entirely new site in Rio. </p><p>The fundamental aim of this research thesis is to demonstrate how landscape architecture can be used to inform the development of stadiums in such a way that the sites surroundings stadiums can become attractive and functional spaces in their own right, that will appeal to a diverse demographic. In other words, rather than being no more than a carpark and accessway, attractive only to those attending an event at the stadium, the surrounding site should be a place that people would wish to visit for itself. To achieve this, the design must take into account a number of key factors, including where the stadium is situated with respect to the surrounding urban landscape, as well as how the stadium relates to the people who will be the primary users. The intention is to create a space surrounding the stadium that is wholly integrated, both physically and socially, with both the adjacent community and the club’s supporters who will travel there to make use of the many resources on offer at the stadium. Issues that are particular to this site, such as how best to turn a previously industrial site into one that is attractive and ecologically viable are also addressed as part of this thesis. </p><p>This design-led research will show how landscape architecture can administer key elements to stadium design, through connection to the urban fabric and fan experience. Exploiting these elements with evidence through the use of adaptive, flexible and also fixed design strategies of sustainability, resilient and regenerative landscape solutions will be achieved between the existing urban setting and Flamengo’s new home.</p>

scholarly journals Checking the Plausibility of Modelled Nitrate Concentrations in the Leachate on Federal State Scale in Germany

Water ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 226
Author(s):  
Tim Wolters ◽  
Nils Cremer ◽  
Michael Eisele ◽  
Frank Herrmann ◽  
Peter Kreins ◽  
...  
Keyword(s):  
Urban Areas ◽  
Arable Land ◽  
Model System ◽  
Federal State ◽  
Federal States ◽  
German Federal States ◽  
Nitrate Concentrations ◽  
Good Agreement ◽  
Lower Rhine

In Germany, modelled nitrate concentrations in the leachate are of great importance for the development of scenarios for the long-term achievement of the groundwater quality target according to the specific requirements of the EU Water Framework Directive as well as within the context of the recently adopted general administrative regulation for the designation of nitrate-polluted areas in Germany. For the German federal states of North Rhine-Westphalia (NRW) and Rhineland-Palatinate (RLP), an area-covering modelling of mean long-term nitrate concentrations in leachate with high spatial resolution was carried out using the model system RAUMIS-mGROWA-DENUZ. Hotspot regions with nitrate concentrations in the leachate of 50 mg NO3/L and more were identified for intensively farmed areas in the Münsterland, Lower Rhine, and Vorderpfalz. The validity of modelled values was checked using measured values from 1119 preselected monitoring stations from shallow springs and aquifers filtered near to the surface with oxidizing properties. For the land use categories of urban areas, arable land, grassland, and forest, an at least good agreement of modelled nitrate concentrations in the leachate and measured nitrate concentrations in groundwater was obtained at numerous sites. An equally good agreement was obtained for 1461 measuring stations from the area of responsibility of the Erftverband, which is a major water supplier in the Lower Rhine region. Here, discrepancies have been analyzed in detail due to profound regional knowledge on observation sites. It turned out that in most cases, accuracy limitations of input data (e.g., N balance surpluses of agriculture at the municipal level, 1:50,000 soil map) have been the reason for larger deviations between observed and modelled values. In a broader sense, the case study has shown on the one hand that the model system RAUMIS-mGROWA-DENUZ is able to reliably represent interrelationships and influencing factors that determine simulated nitrate concentrations in the leachate. On the other hand, it has been proven that observed nitrate concentrations in groundwater may provide a solid data source for checking the plausibility of modelled nitrate concentrations in leachate in cases where certain preselection criteria are applied.

scholarly journals Partecipazione e approccio ai nuovi paesaggi: percezione del verde pensile come opportunità di rigenerazione dell’ecosistema urbano

2021 ◽  
Author(s):  
Stefano Melli
Keyword(s):  
Quality Of Life ◽  
Urban Areas ◽  
Urban Landscape ◽  
Environmental Crisis ◽  
Full Potential ◽  
The People ◽  
Action Strategies ◽  
The One ◽  
Roof Garden

Landscape is the result of the reciprocal transformative relationship between humans and the places where they live. In recent decades, this relationship has been weakening, especially in urban areas, where the quality of life is decreasing due to the accelerating decay and the environmental crisis. Within this context, action strategies that create new landscapes planted in a city run the risk of being rejected by the inhabitants. An iconic case is the one of the roof garden, whose reputation, distorted by greenwashing operations, is far from achieving its full potential. Therefore, it is important to implement a systemic strategy whereby the green roof redefines the urban landscape together with the people living there.

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