scholarly journals Análise da eficiência dos métodos indiretos para o mapeamento de solos frente às técnicas diretas, e suas possíveis associações: Uma revisão metodológica.

2020 ◽  
Vol 13 (2) ◽  
pp. 487
Author(s):  
José Gustavo Da Silva Nunes ◽  
Rogério Uagoda
Keyword(s):  
Remote Sensing ◽  
Low Cost ◽  
Microwave Frequency ◽  
Soil Mapping ◽  
Digital Soil Mapping ◽  
Indirect Methods ◽  
Gis And Remote Sensing ◽  
Radar Images ◽  
Cost Efficient ◽  
Landscape Information

Este artigo se trata de uma revisão metodológica de técnicas indiretas de mapeamento pedológico, envolvendo ensaios granulométricos, SIG e sensoriamento remoto dentro do mapeamento digital de solos, espectrorradiometria e Georadar (GPR), comparados e/ou associados às técnicas diretas como coleta, descrição de trincheiras ou perfis, análise da paisagem. O mapeamento digital de solos (MDS) vem se provando com uma ferramenta eficiente desde o início do ano 2000, associadas a outros métodos como o sensoriamento remoto e análises laboratoriais, o MDS forneceu ao mundo mapas que representam bem a realidade dos solos. Mas as técnicas diretas ainda são usuais e eficientes, e podem ser associadas aos métodos indiretos, para que o mapeamento de uma pequena área possa ser espalhado regionalmente. A busca por técnicas de baixo custo, eficiência e praticidade tem levado pesquisadores a buscarem técnicas como o Georradar para verificar a profundidade do solo, sem que seja necessário a destruição de perfis por meio da abertura de trincheiras, como também ao uso de imagens de radar capaz de oferecer um produto de alta resolução espacial, independentemente da altitude da plataforma, e que tem auxiliado na extração de diversas informações da paisagem diretamente ligadas à pedogênese. Esta pesquisa tem o intuito de buscar a evolução do mapeamento pedológico através das diversas técnicas citadas, e bem como a associação entre os diversos métodos para gerar um mapa de solos de alta precisão. Efficiency analysis of indirect methods for soil mapping against direct techniques, and their possible associations: A methodological reviewA B S T R A C TThis article is a methodological review of indirect techniques of pedological mapping, GIS and remote sensing within digital soil mapping, spectroradiometry and Georadar (GPR), compared to landscape analysis. Research has shown that digital soil mapping (MDS) has been an efficient tool since the beginning of the year 2000, combined with other methods such as remote sensing and laboratory analysis, MDS has provided the world with maps that represent the reality of soils well. But direct techniques are still common and efficient, and can be associated with indirect methods, so that local mapping information can be dispersed regionally. The search for low-cost, efficient and practical techniques has led researchers to look for techniques such as Georadar to check the depth of the soil, without the need to destroy profiles by opening trenches, as well as using radar images. which provide a high spatial resolution product, regardless of the platform's altitude, and which has helped in the extraction of various landscape information directly linked to pedogenesis. Spectroradiometry is a methodology that works with the measurement of radiant electromagnetic energy, and allows for quick associations between targets and spectral curves, allowing the creation of global libraries of these curves. Radiometry in turn has been widely used in systems that operate in the microwave frequency range, ranging from 1mm to 1m in length, and allow you to locate objects. This research aims to seek the evolution of pedological mapping through the various techniques mentioned, as well as the association between the various methods to generate a highly accurate soil map.Keywords: Soil Mapping; GPR; Spectroradiometry; Orbital Sensors

scholarly journals Hydrological modeling using the SWAT model based on two types of data from the watershed of Beni Haroun dam, Algeria

2019 ◽  
Vol 43 (1) ◽  
pp. 76-89 ◽  
Author(s):  
Zakaria Kateb ◽  
Hamid Bouchelkia ◽  
Abdelhalim Benmansour ◽  
Fadila Belarbi
Keyword(s):  
Remote Sensing ◽  
Hydrological Modeling ◽  
Assessment Tool ◽  
Hydrological Cycle ◽  
Swat Model ◽  
Soil Mapping ◽  
Digital Soil Mapping ◽  
Validation Period ◽  
Calibration Period ◽  
Water Assessment

AbstractThe dam of Beni Haroun is the largest in Algeria, and its transfer structures feed seven provinces (wilayas) in the eastern part of Algeria. Due to its importance in the region, it has now become urgent to study its watershed as well as all the parameters that can influence the water and solid intakes that come into the dam. The Soil and Water Assessment Tool (SWAT) model is used to quantify the water yields and identify the vulnerable spots using two scenarios. The first one uses worldwide data (GlobCover and HWSD), and the second one employs remote sensing and digital soil mapping in order to determine the most suitable data to obtain the best results. The SWAT model can be used to reproduce the hydrological cycle within the watershed. Concerning the first scenario, during the calibration period, R2 was found between 0.45 and 0.69, and the Nash–Sutcliffe efficiency (NSE) coefficient was within the interval from 0.63 to 0.80; in the validation period, R2 lied between 0.47 and 0.59, and the NSE coefficient ranged from 0.58 to 0.64. As for the second scenario, during the calibration period, R2 was between 0.60 and 0.66, and the NSE coefficient was between 0.55 and 0.75; however, during the validation period, R2 was in the interval from 0.56 to 0.70, and the NSE coefficient within the range 0.64–0.70. These findings indicate that the data obtained using remote sensing and digital soil mapping provide a better representation of the watershed and give a better hydrological modelling.

scholarly journals Combining Historical Remote Sensing, Digital Soil Mapping and Hydrological Modelling to Produce Solutions for Infrastructure Damage in Cosmo City, South Africa

2020 ◽  
Vol 12 (3) ◽  
pp. 433 ◽  
Author(s):  
George van Zijl ◽  
Johan van Tol ◽  
Darren Bouwer ◽  
Simon Lorentz ◽  
Pieter le Roux
Keyword(s):  
South Africa ◽  
Remote Sensing ◽  
Structural Damage ◽  
Kappa Statistic ◽  
Hydrological Modelling ◽  
Soil Mapping ◽  
Digital Soil Mapping ◽  
Soil Map ◽  
Structural Impacts ◽  
The Impact

Urbanization and hydrology have an interactive relationship, as urbanization changing the hydrology of a system and the hydrology commonly causing structural damage to the infrastructure. Hydrological modelling has been used to quantify the water causing structural impacts, and to provide solutions to the issues. However, in already-urbanized areas, creating a soil map to use as input in the modelling process is difficult, as observation positions are limited and visuals of the natural vegetation which indicate soil distribution are unnatural. This project used historical satellite images in combination with terrain parameters and digital soil mapping methods to produce an accurate (Kappa statistic = 0.81) hydropedology soil map for the Cosmo City suburb in Johannesburg, South Africa. The map was used as input into the HYDRUS 2D and SWAT hydrological models to quantify the water creating road damage at Kampala Crescent, a road within Cosmo City (using HYDRUS 2D), as well as the impact of urbanization on the hydrology of the area (using SWAT). HYDRUS 2D modelling showed that a subsurface drain installed at Kampala Crescent would need a carrying capacity of 0.3 m3·h−1·m−1 to alleviate the road damage, while SWAT modelling shows that surface runoff in Cosmo City will commence with as little rainfall as 2 mm·month−1. This project showcases the value of multidisciplinary work. The remote sensing was invaluable to the mapping, which informed the hydrological modelling and subsequently provided answers to the engineers, who could then mitigate the hydrology-related issues within Cosmo City.

Use of GIS and remote sensing for soil mapping and for locating new sites for permanent cropland — A case study in the “highlands” of northern Thailand

Geoderma ◽  
1993 ◽  
Vol 60 (1-4) ◽  
pp. 293-307 ◽  
Author(s):  
Montri Liengsakul ◽  
Somboon Mekpaiboonwatana ◽  
Paiboon Pramojanee ◽  
Kees Bronsveld ◽  
Herman Huizing
Keyword(s):  
Remote Sensing ◽  
Soil Mapping ◽  
Northern Thailand ◽  
Gis And Remote Sensing

scholarly journals An Integrated GIS and Remote Sensing Approach for Monitoring Harvested Areas from Very High-Resolution, Low-Cost Satellite Images

2019 ◽  
Vol 11 (21) ◽  
pp. 2539
Author(s):  
Azadeh Abdollahnejad ◽  
Dimitrios Panagiotidis ◽  
Lukáš Bílek
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Satellite Images ◽  
Sustainable Forest Management ◽  
Low Cost ◽  
Vegetation Indices ◽  
Cost Effective ◽  
Monitoring Method ◽  
Gis And Remote Sensing ◽  
Very High

Advanced monitoring and mapping of forest areas using the latest technological advances in satellite imagery is an alternative solution for sustainable forest management compared to conventional ground measurements. Remote sensing products have been a key source of information and cost-effective options for monitoring changes in harvested areas. Despite recent advances in satellite technology with a broad variety of spectral and temporal resolutions, monitoring the areal extent of harvested forest areas in managed forests is still a challenge, primarily due to the highly dynamic spatiotemporal patterns of logging activities. Our goal was to introduce a plot-based method for monitoring harvested forest areas from very high-resolution (VHR), low-cost satellite images. Our method encompassed two data categories, which included vegetation indices (VIs) and texture analysis (TA). Each group of data was used to model the amount of harvested volume both independently and in combination. Our results indicated that the composition of all spectral bands can improve the accuracy of all models of average volume by 23.52 RMSE reduction and total volume by 33.57 RMSE reduction. This method demonstrated that monitoring and extrapolation of the calculated relation and results from smaller forested areas could be applied as an automatic remote-based supervised monitoring method over larger forest areas.

Hyper-temporal remote sensing data in bare soil period and terrain attributes for digital soil mapping in the Black soil regions of China

CATENA ◽  
2020 ◽  
Vol 184 ◽  
pp. 104259 ◽  
Author(s):  
Haoxuan Yang ◽  
Xiaokang Zhang ◽  
Mengyuan Xu ◽  
Shuai Shao ◽  
Xiang Wang ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Bare Soil ◽  
Black Soil ◽  
Soil Mapping ◽  
Digital Soil Mapping ◽  
Sensing Data ◽  
Terrain Attributes

A GIS Multi-Criteria Analysis and Remote Sensing for Flood Risk Management of Bou Salem City, Tunisia

2021 ◽  
pp. 1-19
Author(s):  
Salwa Saidi ◽  
Anis Ghattassi ◽  
Samar Zaggouri ◽  
Ahmed Ezzine
Keyword(s):  
Remote Sensing ◽  
Flood Risk ◽  
Low Cost ◽  
Multicriteria Analysis ◽  
Geographical Information ◽  
Gis And Remote Sensing ◽  
Risk Levels ◽  
North East ◽  
Flood Risk Mapping ◽  
High Flood

In the context of global warming, it is very critical to delineate areas of high flood vulnerability and risk. Climate and hydrologic surveying using traditional methods is not always available and depends on external factors. So, the use of geographical information system and remote sensing is of high importance as a decision support system. This approach is of low cost and can cover a long period for surveying. This study aims to provide decision makers a framework of GIS based on multicriteria analysis for flood risk mapping. Classified remote sensing image layers are used to complete GIS-multicriteria results. Results show that the high to very high-risk levels affect the majority of the study area, particularly the south-west and north-east zones. The comparison between GIS and remote sensing approaches shows the same areas of risk and reveals that it is a reliable methodology that greatly enhances decision making.

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