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A

Akshar Tripathi

Indian Institute of Technology Patna

H指数:13

被引数:479

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A lightweight support vector-based multisensor remote sensing framework for regional soil moisture estimation

基于轻量级支持向量机的多传感器遥感区域土壤湿度估算框架

Journal of Hydroinformatics

IF2.2

2026-05-010

PRE

Phase filtering strategies in PSInSAR for rapid earthquake impact assessment: Insights from the 2025 Mandalay event

PSInSAR中用于快速地震影响评估的相位滤波策略：来自2025年曼德勒事件的启示

Spatial Information Research

IF2

2025-12-270

PRE

Post-DORIAN forest damage assessment in the Prince Edward Island National Park, Canada employing multi-sensor satellite data

加拿大爱德华王子岛国家公园后多里安飓风森林损害评估：采用多传感器卫星数据

remote sensing applications society and environment

IF0

2025-09-110

PRE

Agricultural drought assessment using deep learning and multi-sensor remote sensing data integration

基于深度学习和多传感器遥感数据融合的农业干旱评估

Physics and Chemistry of the Earth, Parts A/B/C

IF0

2025-06-190

PRE

Multi-Sensor Remote Sensing Data Integration for Agricultural Droughts: A PRISMA-Based Review in the Indian Context

EARTH SYSTEMS AND ENVIRONMENT

IF4.7

2024-12-040

PRE

Estimating Land Subsidence and Gravimetric Anomaly Induced by Aquifer Overexploitation in the Chandigarh Tri-City Region, India by Coupling Remote Sensing with a Deep Learning Neural Network Model

IF3

2023-03-207

OA

Interoperability of C-Band Sentinel-1 SAR and GRACE Satellite Sensors on PSInSAR-Based Urban Surface Subsidence Mapping of Varanasi, India

IEEE SENSORS JOURNAL

IF4.5

2022-11-019

PRE

Application of Geospatial Techniques in Evaluating Spatial Variability of Commercially Harvested Mangoes in Bangladesh

IF3.3

2022-10-195

OA

A remote sensing based study of tropospheric ozone concentration amid COVID-19 lockdown over India using Sentinel-5P satellite data

GEOCARTO INTERNATIONAL

IF3.5

2022-09-227

PRE

A deep learning multi-layer perceptron and remote sensing approach for soil health based crop yield estimation

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION

IF8.6

2022-09-0130

OAAI

Delineating Flood Zones upon Employing Synthetic Aperture Data for the 2020 Flood in Bangladesh

EARTH SYSTEMS AND ENVIRONMENT

IF4.7

2022-02-0410

PRE

A simplified subsurface soil salinity estimation using synergy of SENTINEL-1 SAR and SENTINEL-2 multispectral satellite data, for early stages of wheat crop growth in Rupnagar, Punjab, India

LAND DEGRADATION & DEVELOPMENT

IF3.7

2021-06-1326

PREAI

Synergetic utilization of sentinel-1 SAR and sentinel-2 optical remote sensing data for surface soil moisture estimation for Rupnagar, Punjab, India

GEOCARTO INTERNATIONAL

IF3.5

2020-09-1629

PREAI