High-precision remote sensing mapping of aeolian sand landforms based on deep learning algorithms
Open Geosciences, 2022 It is significant to adopt deep learning algorithms and higher-resolution remote sensing images in mapping large-scale and high-precision of aeolian landform. In this study, the western part of Horqin Sandy Land was taken as the study area.
Du Huishi, Wang Jingfa, Han Cheng
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River Detection in Remotely Sensed Imagery Using Gabor Filtering and Path Opening
Remote Sensing, 2015 Detecting rivers from remotely sensed imagery is an initial yet important step in space-based river studies. This paper proposes an automatic approach to enhance and detect complete river networks.
Kang Yang +5 more
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International Journal of Digital Earth, 2020 Urban areas presently consume around 75% of global primary energy supply, which is expected to significantly increase in the future due to urban growth.
Pranab K. Roy Chowdhury +6 more
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Shuitu baochi tongbao, 2023 [Objective] The land cover during the grain for green project (GGP) at Chaoyang City, Liaoning Province were analyzed, and the trend of inter annual land class changes were tracked and monitored, and the impact of the project on barren hills, cultivated ...
Shuai Yanmin +4 more
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A Co-Citation and Cluster Analysis of Scientometrics of Geographic Information Ontology
ISPRS International Journal of Geo-Information, 2018 Geographic information ontology represents an effective means of expressing geographic concepts and relationships between them. As an emerging field of study, it has drawn the attention of increasing numbers of scholars worldwide.
Yu Liu +4 more
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Effect of image radiometric correction levels of Landsat images to the land cover maps resulted from maximum likelihood classification [PDF]
E3S Web of Conferences, 2020 Radiometric correction of remote sensing images is required to improve the quality of image pixel values and provide a measurable physical unit of each pixel.
Kamal Muhammad +2 more
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SPATIOTEMPORAL VISUALIZATION OF TIME-SERIES SATELLITE-DERIVED CO2 FLUX DATA USING VOLUME RENDERING AND GPU-BASED INTERPOLATION ON A CLOUD-DRIVEN DIGITAL EARTH [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 The ocean carbon cycle has a significant influence on global climate, and is commonly evaluated using time-series satellite-derived CO2 flux data. Location-aware and globe-based visualization is an important technique for analyzing and presenting the ...
S. Wu +9 more
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Revisiting the Role of Place in Geographic Information Science
ISPRS International Journal of Geo-Information, 2018 Although place-based investigations into human phenomena have been widely conducted in the social sciences over the last decades, this notion has only recently transgressed into Geographic Information Science (GIScience). Such a place-based GIS comprises
Helena Merschdorf, Thomas Blaschke
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World citation and collaboration networks: uncovering the role of geography in science [PDF]
, 2012 Modern information and communication technologies, especially the Internet, have diminished the role of spatial distances and territorial boundaries on the access and transmissibility of information.
A Agrawal +35 more
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Spatial modeling for estimating land prices of new autonomous region candidates lembang city [PDF]
E3S Web of ConferencesThe population in Indonesia which reaches ± 268 million people causes the population’s need for land to increase. Land has an important role in the development of area, all aspects of development will be related to the need for land.
Wulandari Ervika Putri +4 more
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