scholarly journals Remote Sensing of Urban Forests

2019 ◽  
Vol 11 (20) ◽  
pp. 2383 ◽  
Author(s):  
Giovanni Sanesi ◽  
Vincenzo Giannico ◽  
Mario Elia ◽  
Raffaele Lafortezza
Keyword(s):  
Remote Sensing ◽  
Urban Areas ◽  
Spatial Dynamics ◽  
Urban Forests ◽  
Urban Environments ◽  
Special Issue ◽  
Wide Range ◽  
Temporal And Spatial ◽  
New Sensors

Urban forests and green infrastructures at large are of critical importance for contemporary cities as they provide a wide range of ecosystem services (ESS) that enhance the quality of life of urban dwellers. Remote sensing technologies have greatly contributed to assessing and mapping the spatial distribution of ESS in urban areas, although more research is needed given the availability of new sensors from multiple satellites and platforms and the particular characteristics of urban environments (e.g., high heterogeneity). This Special Issue hosts papers focusing on the temporal and spatial dynamics of urban forests with special attention given to the most recent remote sensing technologies as well as advanced methods for processing geospatial data and extracting meaningful information.

scholarly journals Image Segmentation and Object-Based Image Analysis for Environmental Monitoring: Recent Areas of Interest, Researchers’ Views on the Future Priorities

2020 ◽  
Vol 12 (11) ◽  
pp. 1772
Author(s):  
Brian Alan Johnson ◽  
Lei Ma
Keyword(s):  
Remote Sensing ◽  
Image Analysis ◽  
Image Segmentation ◽  
Online Survey ◽  
Accuracy Assessment ◽  
Learning Approaches ◽  
Special Issue ◽  
Object Based Image Analysis ◽  
Object Based ◽  
Wide Range

Image segmentation and geographic object-based image analysis (GEOBIA) were proposed around the turn of the century as a means to analyze high-spatial-resolution remote sensing images. Since then, object-based approaches have been used to analyze a wide range of images for numerous applications. In this Editorial, we present some highlights of image segmentation and GEOBIA research from the last two years (2018–2019), including a Special Issue published in the journal Remote Sensing. As a final contribution of this special issue, we have shared the views of 45 other researchers (corresponding authors of published papers on GEOBIA in 2018–2019) on the current state and future priorities of this field, gathered through an online survey. Most researchers surveyed acknowledged that image segmentation/GEOBIA approaches have achieved a high level of maturity, although the need for more free user-friendly software and tools, further automation, better integration with new machine-learning approaches (including deep learning), and more suitable accuracy assessment methods was frequently pointed out.

Impactul activităților umane asupra stării peisajelor geografice din bazinul hidografic Cogâlnic în anii 2004-2014

2020 ◽  
Author(s):  
Nicolae Boboc ◽  
◽  
Valentina Munteanu ◽  
Keyword(s):  
Statistical Data ◽  
Environmental Changes ◽  
Spatial Dynamics ◽  
Anthropogenic Pressure ◽  
Human Pressure ◽  
Republic Of Moldova ◽  
Temporal And Spatial ◽  
The Republic ◽  
High Degree

The high degree of land use in the Republic of Moldova as a whole, and the Cogâlnic river basin in particular, imposes the need to assess the quality of the environment and the characteristics of the anthropogenic pressure on the landscapes in temporal and spatial dynamics and to identifying an adequate of measure system for the purpose to maintain/restore the optimal structure and functioning of landscape systems. Based from the Land Cadastre on data, statistical data of population censuses, bibliographic and cartographic sources, a system, was appraised a system of indicators(of naturalness, of artificialization of landscapes, environmental changes) and quantified human pressure on the environment through agriculture and anthropogenic pressure on forest landscapes from the Cogâlnic catchment area. The values of the indices and the human pressure on the landscapes were processed using GIS techniques and elaborated cartographic models.

scholarly journals Welcome to the Ziggurat Journal of Materials Technology - a New Open Access Journal

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Jürgen Bast
Keyword(s):  
Urban Areas ◽  
Technological Progress ◽  
High Stress ◽  
Scientific Work ◽  
Open Access Journal ◽  
Human Society ◽  
New Materials ◽  
Wide Range ◽  
Global Population

Dear readers, authors and colleagues, Technological progress plays an essential role in the development of human society. The increasing global population and its mobility, the expansion of urban areas, climate protection and the conservation of fossil resources present challenges that can only be overcome by the improvement of existing resources and the development of new components, materials and production processes. Conventional materials have quickly reached their limit as new mechanisms are developed. These fields of application require the supply of new materials working in aggressive environments at extreme temperatures and high stress. These new materials are also expected to automatically alert us when critical loads are reached to avoid accidents caused by failures. This is the first issue of the Ziggurat Journal of Materials Technology, and we hope that you are satisfied with the content. The title of the journal primarily suggests materials technology; however, we strive to present a broad range of topics, including questions about the interaction between design, material, manufacturing and energy. The efficient interaction between these parameters results in components that are optimally designed and economically feasible. The idea for this journal resulted from the editors' realisation of the large knowledge potential that is being developed at colleges and universities around the world by scholars and PhD students. These clients must have the opportunity to publish their work and get in touch with other scientists. We want to reach out to young researchers and encourage them to present their work to a wide range of readers. Furthermore, a scientific career today requires evidence of publications that withstand the corresponding assessments of specialist colleagues and meet the criteria of good scientific work. In this context, the submitted articles will be subjected to a strict review. The principal objective is not to criticise work but rather to provide advice on how to improve the quality of the work presented. With this in mind, we would like to invite you to submit articles and use this journal as a reference for your ongoing scientific work.

scholarly journals Recreation and Therapy in Urban Forests—The Potential Use of Sensory Garden Solutions

Forests ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 1402
Author(s):  
Sandra Wajchman-Świtalska ◽  
Alina Zajadacz ◽  
Anna Lubarska
Keyword(s):  
Urban Areas ◽  
Universal Design ◽  
Spatial Models ◽  
Urban Forests ◽  
Or Groups ◽  
Design For All ◽  
Wide Range ◽  
Individual Trees ◽  
Partially Sighted ◽  
Communication Lines

Urban forests are not only woodlands or groups of trees, but also individual trees, street trees, trees in parks, trees in derelict corners, and gardens. All of which are located in urban and peri-urban areas and diversify the landscape and provide a wide range of social benefits. Sensory gardens play a specific therapeutic and preventive role. Designing such gardens as a recreational infrastructure element can successfully enrich urban forests. Following the principles of universal design may provide enjoyment for all city-dwellers, with special attention given to the needs of individuals with disabilities. We studied 15 gardens and one sensory path located in various regions in Poland. The inventory was carried out on the basis of the features considered important in spatial orientation by blind and partially sighted people. The results showed that the solutions used were only partly adequate for the needs of selected users. We found neither tactile walking surface indicators (e.g., communication lines and terrain), spatial models, nor applications in mobile devices. However, these could be useful for all visitors. We confirmed that although problems with the use of forest tourist space are dependent on the type of disability, by implementing the idea of universal design for all elements of recreational infrastructure, forests may be accessible for all users.

scholarly journals Introduction to the Special Issue: Legumes as Food Ingredient: Characterization, Processing, and Applications

Foods ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1525
Author(s):  
Alfonso Clemente ◽  
Jose C. Jimenez-Lopez
Keyword(s):  
Grain Legumes ◽  
Sensory Profile ◽  
Special Issue ◽  
Food Ingredient ◽  
Food Ingredients ◽  
Wide Range ◽  
Key Aspects ◽  
Lactic Bacteria ◽  
Essential Food

Legumes are major ingredients in the Mediterranean diet, playing an essential role in developing countries. Grain legumes, such as lentil, chickpea, pea, lupin and beans, among others, are recognized as good sources of proteins, starch, fiber, vitamins and minerals for human nutrition, being an essential food crop for people worldwide. Due to their nutritional and techno-functional properties, legumes are widely used by the food industry as ingredients in a wide range of products for general and specific groups of the population, including vegetarians, diabetics or celiac patients. The Special Issue “Legumes as Food Ingredients: Characterization, Processing, and Applications” covers key aspects regarding the nutritional quality of legume flours and their derived products, as well as the health benefits of some of their bioactive components. The amounts of antinutritional components, such as certain allergens that might pose risks to sensitized consumers, are reported to be reduced by processing. Several pretreatments, including fermentation with lactic bacteria and yeasts, are used to improve the nutritional and sensory profile of the legume-derived products, increasing their acceptance by consumers.

scholarly journals Preface: Remote Sensing for Flood Mapping and Monitoring of Flood Dynamics

2019 ◽  
Vol 11 (8) ◽  
pp. 943 ◽  
Author(s):  
Alessio Domeneghetti ◽  
Guy J.-P. Schumann ◽  
Angelica Tarpanelli
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Flood Mapping ◽  
Special Issue ◽  
Sensing Data ◽  
Wide Range ◽  
Flood Monitoring ◽  
Novel Processing ◽  
Flood Dynamics ◽  
Processing Techniques

This Special Issue is a collection of papers that focus on the use of remote sensing data and describe methods for flood monitoring and mapping. These articles span a wide range of topics; present novel processing techniques and review methods; and discuss limitations and challenges. This preface provides a brief overview of the content.

scholarly journals Integrating Satellite-Derived Data as Spatial Predictors in Multiple Regression Models to Enhance the Knowledge of Air Temperature Patterns

Urban Science ◽  
2019 ◽  
Vol 3 (4) ◽  
pp. 101 ◽  
Author(s):  
Lucille Alonso ◽  
Florent Renard
Keyword(s):  
Remote Sensing ◽  
Air Temperature ◽  
Urban Areas ◽  
Land Development ◽  
Explanatory Variables ◽  
Dense Networks ◽  
Urban Heat ◽  
Derived Data ◽  
Computer Resources

With the phenomenon of urban heat island and thermal discomfort felt in urban areas, exacerbated by climate change, it is necessary to best estimate the air temperature in every part of an area, especially in the context of the on-going rationalization weather stations network. In addition, the comprehension of air temperature patterns is essential for multiple applications in the fields of agriculture, hydrology, land development or public health. Thus, this study proposes to estimate the air temperature from 28 explanatory variables, using multiple linear regressions. The innovation of this study is to integrate variables from remote sensing into the model in addition to the variables traditionally used like the ones from the Land Use Land Cover. The contribution of spectral indices is significant and makes it possible to improve the quality of the prediction model. However, modeling errors are still present. Their locations and magnitudes are analyzed. However, although the results provided by modelling are of good quality in most cases, particularly thanks to the introduction of explanatory variables from remote sensing, this can never replace dense networks of ground-based measurements. Nevertheless, the methodology presented, applicable to any territory and not requiring specific computer resources, can be highly useful in many fields, particularly for urban planners.

scholarly journals Detection of Urban Areas using Genetic Algorithms and Kohonen Maps on Multispectral images

2018 ◽  
Vol 8 (1) ◽  
pp. 46-62 ◽  
Author(s):  
Djelloul Mokadem ◽  
Abdelmalek Amine ◽  
Zakaria Elberrichi ◽  
David Helbert
Keyword(s):  
Remote Sensing ◽  
Genetic Algorithms ◽  
Urban Areas ◽  
Satellite Image ◽  
Initial Population ◽  
Landsat Images ◽  
Kohonen Maps ◽  
Multispectral Satellite Image

In this article, the detection of urban areas on satellite multispectral Landsat images. The goal is to improve the visual interpretations of images from remote sensing experts who often remain subjective. Interpretations depend deeply on the quality of segmentation which itself depends on the quality of samples. A remote sensing expert must actually prepare these samples. To enhance the segmentation process, this article proposes to use genetic algorithms to evolve the initial population of samples picked manually and get the most optimal samples. These samples will be used to train the Kohonen maps for further classification of a multispectral satellite image. Results are obtained by injecting genetic algorithms in sampling phase and this paper proves the effectiveness of the proposed approach.

scholarly journals Special Issue on Remote Sensing of Snow and Its Applications

Geosciences ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. 277 ◽  
Author(s):  
Ali Nadir Arslan ◽  
Zuhal Akyürek
Keyword(s):  
Remote Sensing ◽  
Snow Cover ◽  
Land Surface ◽  
Climate Models ◽  
Weather Forecasting ◽  
Special Issue ◽  
Carbon Cycles ◽  
Wide Range ◽  
Remote Sensing Techniques

Snow cover is an essential climate variable directly affecting the Earth’s energy balance. Snow cover has a number of important physical properties that exert an influence on global and regional energy, water, and carbon cycles. Remote sensing provides a good understanding of snow cover and enable snow cover information to be assimilated into hydrological, land surface, meteorological, and climate models for predicting snowmelt runoff, snow water resources, and to warn about snow-related natural hazards. The main objectives of this Special Issue, “Remote Sensing of Snow and Its Applications” in Geosciences are to present a wide range of topics such as (1) remote sensing techniques and methods for snow, (2) modeling, retrieval algorithms, and in-situ measurements of snow parameters, (3) multi-source and multi-sensor remote sensing of snow, (4) remote sensing and model integrated approaches of snow, and (5) applications where remotely sensed snow information is used for weather forecasting, flooding, avalanche, water management, traffic, health and sport, agriculture and forestry, climate scenarios, etc. It is very important to understand (a) differences and similarities, (b) representativeness and applicability, (c) accuracy and sources of error in measuring of snow both in-situ and remote sensing and assimilating snow into hydrological, land surface, meteorological, and climate models. This Special Issue contains nine articles and covers some of the topics we listed above.

scholarly journals Characterization of Energy Flux Partitioning in Urban Environments: Links with Surface Seasonal Properties

2012 ◽  
Vol 51 (2) ◽  
pp. 219-241 ◽  
Author(s):  
Thomas Loridan ◽  
C. S. B. Grimmond
Keyword(s):  
Urban Areas ◽  
Flux Ratio ◽  
Surface Flux ◽  
Active Surface ◽  
Urban Environments ◽  
Wave Radiation ◽  
Energy Fraction ◽  
Surface Exchange ◽  
Flux Partitioning ◽  
Wide Range

AbstractA better understanding of links between the properties of the urban environment and the exchange to the atmosphere is central to a wide range of applications. The numerous measurements of surface energy balance data in urban areas enable intercomparison of observed fluxes from distinct environments. This study analyzes a large database in two new ways. First, instead of normalizing fluxes using net all-wave radiation only the incoming radiative fluxes are used, to remove the surface attributes from the denominator. Second, because data are now available year-round, indices are developed to characterize the fraction of the surface (built; vegetation) actively engaged in energy exchanges. These account for shading patterns within city streets and seasonal changes in vegetation phenology; their impact on the partitioning of the incoming radiation is analyzed. Data from 19 sites in North America, Europe, Africa, and Asia (including 6-yr-long observation campaigns) are used to derive generalized surface–flux relations. The midday-period outgoing radiative fraction decreases with an increasing total active surface index, the stored energy fraction increases with an active built index, and the latent heat fraction increases with an active vegetated index. Parameterizations of these energy exchange ratios as a function of the surface indices [i.e., the Flux Ratio–Active Index Surface Exchange (FRAISE) scheme] are developed. These are used to define four urban zones that characterize energy partitioning on the basis of their active surface indices. An independent evaluation of FRAISE, using three additional sites from the Basel Urban Boundary Layer Experiment (BUBBLE), yields accurate predictions of the midday flux partitioning at each location.

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