Detecting of Lithological Units by Using Terrestrial Spectral Data and Remote Sensing Image

Gürsoy, Önder; Kaya, Ş.

doi:10.1007/s12524-016-0586-1

Cited by 15 publications

(8 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…(2) Geoscience Information Atlas. Geoinformation Atlas is a new method to study the urban landscape, and the geoinformation Atlas is based on the application of geoinformation science and remote sensing [4]. e use of geoscience information map to study the urban landscape can describe the past, present, and future of the urban landscape and discover the evolution process of the urban landscape [8].…”

Section: Innovation Points Of Is Researchmentioning

confidence: 99%

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

Gong

2021

Mobile Information Systems

View full text Add to dashboard Cite

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%.

show abstract

Section: Innovation Points Of Is Researchmentioning

confidence: 99%

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

Gong

2021

Mobile Information Systems

View full text Add to dashboard Cite

show abstract

“…The techniques are included in the software as standard as they have been used for the analysis of remote sensing data (SFF [73][74][75], SAM [76][77][78], BE [79][80][81]). For the analysis of heritage based hyperspectral data only SAM appears to have been used previously [42,82,83].…”

Section: Spectralonmentioning

confidence: 99%

Comparing the effectiveness of hyperspectral imaging and Raman spectroscopy: a case study on Armenian manuscripts

et al. 2018

View full text Add to dashboard Cite

There is great practical and scholarly interest in the identification of pigments in works of art. This paper compares the effectiveness of the widely used Raman Spectroscopy (RS), with hyperspectral imaging (HSI), a reflectance imaging technique, to evaluate the reliability of HSI for the identification of pigments in historic works of art and to ascertain if there are any benefits from using HSI or a combination of both. We undertook a case study based on six Armenian illuminated manuscripts (eleventh-eighteenth centuries CE) in the Bodleian Library, University of Oxford. RS, and HSI (380-1000 nm) were both used to analyse the same 10 folios, with the data then used to test the accuracy and efficiency of HSI against the known results from RS using reflectance spectra reference databases compiled by us for the project. HSI over the wavelength range 380-1000 nm agreed with RS at best 93% of the time, and performance was enhanced using the SFF algorithm and by using a database with many similarities to the articles under analysis. HSI is significantly quicker at scanning large areas, and can be used alongside RS to identify and map large areas of pigment more efficiently than RS alone. HSI therefore has potential for improving the speed of pigment identification across manuscript folios and artwork but must be used in conjunction with a technique such as RS.

show abstract

“…As a supervised classification technique, it is highly dependent on the identification of the training areas obtained from the observation of a field spectrometer, or are taken directly from a remote sensing image with sufficient field data, or from spectral libraries [30,38]. Developed by Kruse et al [30], SAM determines rapidly and easily the spectral similarity between the image spectra to reference reflectance spectra ( Figure 2) [38][39][40][41] and it is based on the number of bands used in the processed image [42][43][44]. Small angle values indicate greater similarity between pixel and reference spectra [45].…”

Section: Supervised Classificationmentioning

confidence: 99%

Mapping Forest Species in the Central Middle Atlas of Morocco (Azrou Forest) through Remote Sensing Techniques

Mohajane

Essahlaoui

Oudija

et al. 2017

IJGI

View full text Add to dashboard Cite

Abstract:The studies of forest ecosystems from remotely-sensed data are of great interest to researchers because of ecosystem services provided by this ecosystem, including protection of soils and vegetation, climate stabilization, and regulation of the hydrological cycle. In this context, our study focused on the use of a spectral angle mapper (SAM) classification method for mapping species in the Azrou Forest, Central Middle Atlas, Morocco. A Sentinel-2A image combined with ground reference data were used in this research. Four classes (holm oak, cedar forest, bare soil, and others-unclassified) were selected; they represent, respectively, 27, 11, 24, and 38% of the study area. The overall accuracy of classification was estimated to be around 99.72%. This work explored the potential of the SAM classification combined with Sentinel-2A data for mapping land cover in the Azrou Forest ecosystem.

show abstract

Detecting of Lithological Units by Using Terrestrial Spectral Data and Remote Sensing Image

Cited by 15 publications

References 14 publications

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

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

Comparing the effectiveness of hyperspectral imaging and Raman spectroscopy: a case study on Armenian manuscripts

Mapping Forest Species in the Central Middle Atlas of Morocco (Azrou Forest) through Remote Sensing Techniques

Contact Info

Product

Resources

About