Abhirup Dikshit

university of new south wales

H指数:28

被引数:2,891

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Co-Occurring Flash and Standard Droughts Amplify Global Fire Behavior

共发生的闪急干旱和标准干旱加剧全球火灾行为

Geophysical Research Letters

IF4.6

2026-09-150

OAAI

Characterization of the Australia's 2019 megafires: a remote-sensing perspective

澳大利亚2019年巨型野火特征研究：遥感视角

INTERNATIONAL JOURNAL OF REMOTE SENSING

IF2.6

2025-09-010

PRE

Artificial Intelligence: A new era for spatial modelling and interpreting climate-induced hazard assessment

GEOSCIENCE FRONTIERS

IF8.9

2024-07-013

Spatial flood susceptibility mapping using an explainable artificial intelligence (XAI) model

使用可解释的人工智能 (XAI) 模型进行空间洪水敏感性映射

GEOSCIENCE FRONTIERS

IF8.9

2023-11-0160

An explainable AI (XAI) model for landslide susceptibility modeling

APPLIED SOFT COMPUTING

IF6.6

2023-07-0160

OAAI

Short-time-series grassland mapping using Sentinel-2 imagery and deep learning-based architecture

使用Sentinel-2图像和基于深度学习的架构的短时间序列草地制图

EGYPTIAN JOURNAL OF REMOTE SENSING AND SPACE SCIENCES

IF4.1

2022-12-0119

OAAI

Spatial based drought assessment: Where are we heading? A review on the current status and future

SCIENCE OF THE TOTAL ENVIRONMENT

IF8

2022-10-0125

PRE

Solving transparency in drought forecasting using attention models

SCIENCE OF THE TOTAL ENVIRONMENT

IF8

2022-09-0114

PRE

Landslide susceptibility mapping using CNN-1D and 2D deep learning algorithms: comparison of their performance at Asir Region, KSA

BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT

IF4.2

2022-03-3054

PRE

Comparative study of convolutional neural network (CNN) and support vector machine (SVM) for flood susceptibility mapping: a case study at Ras Gharib, Red Sea, Egypt

卷积神经网络 (CNN) 和支持向量机 (SVM) 用于洪水敏感性映射的比较研究: 以埃及红海Ras Gharib为例

GEOCARTO INTERNATIONAL

IF3.5

2022-03-2540

PRE

Artificial neural networks in drought prediction in the 21st century-A scientometric analysis

APPLIED SOFT COMPUTING

IF6.6

2022-01-0165

PRE

Pathways and challenges of the application of artificial intelligence to geohazards modelling

GONDWANA RESEARCH

IF8.6

2021-12-01109

OAAI

Interpretable and explainable AI (XAI) model for spatial drought prediction

用于空间干旱预测的可解释和可解释的AI (XAI) 模型

SCIENCE OF THE TOTAL ENVIRONMENT

IF8

2021-12-01132

PRE

Comparison between Deep Learning and Tree-Based Machine Learning Approaches for Landslide Susceptibility Mapping

深度学习和基于树的机器学习方法在滑坡敏感性制图中的比较

WATER

IF3

2021-09-2725

An improved SPEI drought forecasting approach using the long short-term memory neural network

JOURNAL OF ENVIRONMENTAL MANAGEMENT

IF8.4

2021-04-01107

OAAI

Long lead time drought forecasting using lagged climate variables and a stacked long short-term memory model

SCIENCE OF THE TOTAL ENVIRONMENT

IF8

2021-02-01102

PREAI

Parametric Study of Local Site Response for Bedrock Ground Motion to Earthquake in Phuentsholing, Bhutan

SUSTAINABILITY

IF3.3

2020-06-2912

OAAI

Temporal Probability Assessment and Its Use in Landslide Susceptibility Mapping for Eastern Bhutan

WATER

IF3

2020-01-1735

OAAI

Estimating Rainfall Thresholds for Landslide Occurrence in the Bhutan Himalayas

估计不丹喜马拉雅山滑坡发生的降雨阈值

WATER

IF3

2019-08-0544

OAAI

Automatic calculation of rainfall thresholds for landslide occurrence in Chukha Dzongkhag, Bhutan

不丹Chukha Dzongkhag滑坡发生的降雨阈值的自动计算

BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT

IF4.2

2018-11-0145

PREAI

Abhirup Dikshit

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