Tien Dat Pham

Nhà nghiên cứu Hồ sơ 6/10

Đại học Quốc gia Hà Nội · Khoa học Trái đất

96 công bố · 4.173 trích dẫn · h-index 31

Thông tin

🏛️Nơi công tác: Đại học Quốc gia Hà Nội
🔬Lĩnh vực: Khoa học Trái đất
🆔ORCID: 0000-0002-6422-2847
✍️Hồ sơ chưa đầy đủ — bổ sung thông tin

Chỉ số h-index 31 xếp học giả này vào lĩnh vực Khoa học Trái đất, thuộc nhóm 5% dẫn đầu trong 1.456 hồ sơ cùng lĩnh vực của danh bạ này.

Công bố tiêu biểu

A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area399 trích dẫn
The Science of The Total Environment · 2019 · DOI

Remote Sensing Approaches for Monitoring Mangrove Species, Structure, and Biomass: Opportunities and Challenges325 trích dẫn
Remote Sensing · 2019 · DOI

A novel hybrid approach based on a swarm intelligence optimized extreme learning machine for flash flood susceptibility mapping315 trích dẫn
CATENA · 2019 · DOI

Flash flood susceptibility modeling using an optimized fuzzy rule based feature selection technique and tree based ensemble methods280 trích dẫn
The Science of The Total Environment · 2019 · DOI

Improving Accuracy Estimation of Forest Aboveground Biomass Based on Incorporation of ALOS-2 PALSAR-2 and Sentinel-2A Imagery and Machine Learning: A Case Study of the Hyrcanian Forest Area (Iran)275 trích dẫn
Remote Sensing · 2018 · DOI

A Review of Remote Sensing Approaches for Monitoring Blue Carbon Ecosystems: Mangroves, Seagrassesand Salt Marshes during 2010–2018178 trích dẫn
Sensors · 2019 · DOI

Soil Salinity Mapping Using SAR Sentinel-1 Data and Advanced Machine Learning Algorithms: A Case Study at Ben Tre Province of the Mekong River Delta (Vietnam)167 trích dẫn
Remote Sensing · 2019 · DOI

Estimating Mangrove Above-Ground Biomass Using Extreme Gradient Boosting Decision Trees Algorithm with Fused Sentinel-2 and ALOS-2 PALSAR-2 Data in Can Gio Biosphere Reserve, Vietnam148 trích dẫn
Remote Sensing · 2020 · DOI

Comparison of Machine Learning Methods for Estimating Mangrove Above-Ground Biomass Using Multiple Source Remote Sensing Data in the Red River Delta Biosphere Reserve, Vietnam146 trích dẫn
Remote Sensing · 2020 · DOI

A novel intelligence approach based active and ensemble learning for agricultural soil organic carbon prediction using multispectral and SAR data fusion141 trích dẫn
The Science of The Total Environment · 2021 · DOI

Về lĩnh vực Khoa học Trái đất

1.456học giả

17.832công bố

260.826trích dẫn

3.8h-index trung bình

Hướng nghiên cứu phổ biến trong lĩnh vực:

Geological and Geophysical StudiesHydrology and Watershed Management Studiesearthquake and tectonic studiesClimate variability and modelsAir Quality and Health ImpactsFlood Risk Assessment and Management

Nơi có nhiều học giả lĩnh vực này nhất: