[PDF] Top 20 A satellite-based global landslide model
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A satellite-based global landslide model
... the model 100 times with different combinations of training and validation ...the model landslide prediction in ...both landslide and non-landslide ...calculated based on the ... See full document
9
Global root zone storage capacity from satellite based evaporation
... is based on the tested hypothesis that plants will not root deeper than nec- essary (Milly and Dunne, 1994; Milly, 1994; Schenk, ...both model independent and indirectly observation ... See full document
23
Non-Gaussian data assimilation of satellite-based leaf area index observations with an individual-based dynamic global vegetation model
... frequent satellite-based leaf area index (LAI) data with an individual- based DGVM known as the SEIB-DGVM, which stands for the spatially explicit individual-based DGVM (Sato et ...SEIB-DGVM ... See full document
15
Global distribution and seasonal dependence of satellite-based whitecap fraction
... That the uncertainty of the SSA flux drives substantial geographical biases has also been noted in model estimates of derived quantities. Using a lower limit for sea salt concentrations, Haywood et al. [1999] could ... See full document
9
Performance of the global Geo-Potential models over Egypt
... field model based on EGM2008 derived gravity anomalies and GOCE Satellite Gravity Gradiometry (SGG) data and the Satellite-to-Satellite Tracking (SST) observations up to degree and ... See full document
5
Evaluation of Himawari-8 surface downwelling solar radiation by ground-based measurements
... is based on a fast neural network, accurately reproducing the radiative transfer ...This satellite-based radiation data set, AM- ATERASS solar radiation, uses the Comprehensive Analysis Program for ... See full document
21
Methodology for evaluating lateral boundary conditions in the regional chemical transport model MATCH (v5.5.0) using combined satellite and ground-based observations
... the global EMEP model are directly compared at the lateral boundaries of the Euro- pean model domain, with satellite retrievals from the Terra- MOPITT (Measurements Of Pollution In The ... See full document
17
algorithm using global landslide inventories
... Most landslide hazard assessment algorithms in common use are applied to small regions, where high- resolution, in situ, observables are ...nary global landslide hazard algorithm has been developed ... See full document
14
Assessment of the performance of X-band satellite radar data for landslide mapping and monitoring: Upper Tena Valley case study
... a model to predict the distribution of Persistent Scatterers based on the slope geometry and the land use information, which has then been validated with X-band data ...for landslide mapping but also ... See full document
11
A Proposed Model to Forecast Hourly Global Solar Irradiation Based on Satellite Derived Data, Deep Learning and Machine Learning Approaches
... 3. Forecasting method optimization: after the ap- plication of RECV-Xgboost, the selected pix- els are trained with LSTM to predict the GHI one hour ahead. In order to optimize the deep LSTM network, a hyper parameter ... See full document
13
Analysis fire patterns and drivers with a global SEVER-FIRE v1.0 model incorporated into dynamic global vegetation model and satellite and on-ground observations
... 1. Estimation of fire weather danger index and fire prob- ability. Fire weather danger index FDI(d), measured from 0 (“no fire danger”) to 1 (“extreme fire danger”), is estimated in SEVER-FIRE based on the ... See full document
22
Global land surface evaporation estimated from satellite based observations
... existing satellite-sensor products to estimate reliable fields of daily global evaporation at a ...is based on the Priestley and Taylor (1972) radiation-driven evaporation model, it limits the ... See full document
17
Evaluation of a Global Vegetation Model using time series of satellite vegetation indices
... the model simulations, we use prod- ucts from the MODIS instrument, on board the Terra satel- ...reflectance model, which is then applied to correct the measurements for directional effects (Vermote et ... See full document
12
Remote sensing for characterisation and kinematic analysis of large slope failures : Debre Sina landslide, Main Ethiopian Rift Escarpment
... VHR satellite images older than 2005, we used aerial photographs from 1986 to build a pre-event ...Differential Global Positioning System (DGPS) measurements were ... See full document
21
Global detection of rainfall-triggered landslide clusters
... of landslide events (as given by the GLC) in the west of North America are small compared to most other re- gions, there is also a considerable amount of events, where the size is unknown (43 %, ...the ... See full document
12
Evaluation of the global aerosol microphysical ModelE2-TOMAS model against satellite and ground-based observations
... aerosol model predictions. The model captures the observed annual cycle of dust very well at most NH sites but not at the SH sites, except Nor- folk and ...The model captures the observed magni- tude ... See full document
37
A dynamic landslide hazard assessment system for Central America and Hispaniola
... potential landslide activity in near real time: Landslide Haz- ard Assessment for Situational ...and satellite-based rainfall estimates into a binary decision tree, considering both daily and ... See full document
16
Optimal estimator for assessing landslide model performance
... cell-based landslide model performance is based on the ratio of successfully predicted landslide sites over total actual landslide sites without considering the performance in ... See full document
9
Modeling of Satellite-Earth Link Channel and Simulating in Space-Ground Integrated Network
... Muti-network fusion is one of the trends of future network, in the near future, we may build a unified network which contain the space satellite network and the ground internet. It will connect the earth with the ... See full document
5
Rainfall Threshold Analysis and Bayesian Probability Method for Landslide Initiation Based on Landslides and Rainfall Events in the Past
... probability model applied to calculate the probabilities of landslide occurrence in the study area follow two cases, one-dimensional case and two-dimensional ...26 landslide events in the past ... See full document
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