An improved dust identification index (IDII) based on MODIS observation-Reference-Cited by-同舟云学术

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An improved dust identification index (IDII) based on MODIS observation

Published:2020-08-21 Issue:20 Volume:41 Page:8048-8068
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Zandkarimi Arash¹,Fatehi Parviz²,Shah-Hoseini Reza³^ORCID

Affiliation:

1. Department of Remote Sensing, College of Planning and Environmental Sciences, University of Tabriz , Tabriz, Iran

2. Department of Forestry and Forest Economics, College of Agriculture and Natural Resources, University of Tehran , Karaj, Iran

3. School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran , Tehran, Iran

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2020.1770366

Reference70 articles.

1. An evaluation of satellite dust-detection algorithms in the Middle East region

2. Effect of major dust storm on optical, physical, and radiative properties of aerosols over coastal and urban environments in Western India

3. A review of techniques and technologies for sand and dust storm detection

4. Changes in aerosol optical properties due to dust storms in the Middle East and Southwest Asia

5. Evaluating MODIS Dust-Detection Indices over the Arabian Peninsula

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Application of global dust detection index (GDDI) for sand and dust storm monitoring over Kingdom of Saudi Arabia;Natural Hazards;2024-06-25

2. Identifying Dust Sources Affecting Southwestern Iran (Khuzestan Province) Using Remote Sensing Techniques and HYSPLIT Model;Journal of the Indian Society of Remote Sensing;2023-01-03

3. Prior land surface reflectance-based sandstorm detection from space using deep learning;Frontiers in Earth Science;2022-09-13

4. A novel hybrid sand and dust storm detection method using MODIS data on GEE platform;European Journal of Remote Sensing;2022-07-07

5. Dust storm detection of a convolutional neural network and a physical algorithm based on FY-4A satellite data;Advances in Space Research;2022-06

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