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Digital disaggregation of soil subgroups using DSMART in a Mediterranean semiarid landscape. [PDF]
Sci RepTurgut YS, Koca YK, Dengiz O.
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Body-centered encoding of passive tactile pattern memories. [PDF]
Sci RepIndurkar S, Kayacik B, Liu P, Kuehn E.
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How Deep Is Your Mud? Pinpointing Hidden Transitions in Restored Saltmarsh Sediments to Support Robust Assessment of Carbon Stocks. [PDF]
Estuaries CoastSparkes RB +9 more
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Population receptive field properties of the human visual claustrum zone
Pizka CA +5 more
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Arabian Journal of Geosciences, 2018
Usually, seismic record stations are established in various topographic slope positions, from valleys to ridges. In most previous studies, topographic amplification factor (TAF) is proposed as one of the indicators of earthquake wave amplification which can lead to overestimation of earthquake magnitudes in seismic networks.
Masakatsu Miyajima, Sadra Karimzadeh
exaly +3 more sources
Usually, seismic record stations are established in various topographic slope positions, from valleys to ridges. In most previous studies, topographic amplification factor (TAF) is proposed as one of the indicators of earthquake wave amplification which can lead to overestimation of earthquake magnitudes in seismic networks.
Masakatsu Miyajima, Sadra Karimzadeh
exaly +3 more sources
Application of the Topographic Position Index to Heterogeneous Landscapes
Geomorphology, 2013Topographic position index (TPI) is an algorithm increasingly used to measure topographic slope positions and to automate landform classifications. We applied TPI to a geoarchaeological research project in northwestern Belgium but its use led to erroneous landform classifications in this heterogeneous landscape.
Philippe De Maeyer +2 more
exaly +3 more sources
Spatial Information Research, 2017
This study is an attempt to classify the topographic position index (TPI) and landforms of Kerala State, India using complex spatial statistics and GIS application to identify and extract geomorphologic properties of digital elevation model with 30 m resolution.
P. Vinod
exaly +3 more sources
This study is an attempt to classify the topographic position index (TPI) and landforms of Kerala State, India using complex spatial statistics and GIS application to identify and extract geomorphologic properties of digital elevation model with 30 m resolution.
P. Vinod
exaly +3 more sources