Introduction to LiDAR Remote Sensing

Edisi

-

ISBN/ISSN

9781032671505

Deskripsi Fisik

xvi, 804 hlm.; 24 cm.

Judul Seri

-

No. Panggil

621.3678 WAN i

Modeling ANN-Based Estimations of Probabilistic-Based Failure Soil Depths for…

In this study, an ANN-derived innovative model was developed for estimating the failure soil depths of rainfall-induced shallow landslide events, named the SM_EFD_LS model. The proposed SM_EFD_LS model was created using the modified ANN model via the genetic algorithm calibration approach (GA-SA) with multiple transfer functions (MTFs) (ANN_GA-SA_MTF) with a significant number of failure soil d…

Research and Application of Geomechanics Using 3D Model of Deep Shale Gas in …

The deep shale gas resources of the Sichuan Basin are abundant and constitute an important component of China’s natural gas production. Complicated by fault zones and other geostructures, the in situ stress state of the deep shale gas reservoirs in the Luzhou block remains poorly understood. This study integrated multiple datasets, including acoustic logging, diagnostic fracture injection tes…

Geochronology, Petrogenesis, and Geological Significance of the Longchahe Gra…

Longchahe porphyritic granite is the largest pluton within the western Gejiu complex, a series of mainly intermediate to felsic alkali intrusions in southwestern China. Our research indicates that the pluton intruded during the Late Cretaceous (82–84 Ma). The pluton is primarily a medium- to coarse-grained porphyritic granite, which shows weakly peraluminous (A/CNK = 0.92–1.82, with an aver…

Imaging Shallow Velocity Structure of an Inactive Fault by Airgun Seismic Sou…

We observed high-quality waves from a repeatable airgun seismic source recorded by a linear ultra-dense seismic array across the Xiliushui fault zone, one of the inactive faults in the Qilian Mountain, on the northeastern margin of the Tibetan Plateau, China. We used Snell’s law of seismic ray propagation to determine a simplified ambient velocity model. Based on the flexible and precise spec…

Hydrometeorological Variability of Olive Ridley Sea Turtle (Lepidochelys oliv…

The conservation of the olive ridley turtle (Lepidochelys olivacea) is increasingly critical due to declining global populations. This study investigates the influence of hydrometeorological conditions on the nesting season and annual hatchling sex ratios conducted at the Playón de Mismaloya Federal Reserve in Tomatlán, Jalisco, Mexico. The research specifically examines variations in sand te…

Global Sn Isotope Compositions of Cassiterite Identify the Magmatic–Hydroth…

Published Sn isotope data along with 150 new analyses of cassiterite and four granite analyses constrain two major tin isotope fractionation steps associated with (1) separation of tin from the magma/orthomagmatic transitional environment and (2) hydrothermal activity. A distinct Sn isotope difference across deposit type, geological host rocks, and time of ore deposit formation demonstrates tha…

Prepocessing and Analytical Results of the Tidal Gravity Observations Recorde…

Edisi

-

ISBN/ISSN

-

Deskripsi Fisik

12 hlm. illus.

Judul Seri

-

No. Panggil

526.1 CHE p

Wide & deep learning for predicting relative mineral compositions of sediment…

This study develops a method to use deep learning models to predict the mineral assemblages and their relative abundances in paleolake cores using high-resolution XRF core scan elemental data and X-ray diffraction (XRD) mineralogical results from the same core taken at coarser resolution. It uses the XRF core scan data along with published mineralogical information from the Olduvai Gorge Coring…

EQGraphNet: Advancing single-station earthquake magnitude estimation via deep…

Magnitude estimation is a critical task in seismology, and conventional methods usually require dense seismic station arrays to provide data with sufficient spatiotemporal distribution. In this context, we propose the Earthquake Graph Network (EQGraphNet) to enhance the performance of single-station magnitude estimation. The backbone of the proposed model consists of eleven convolutional neural…