Salim Soltani

Salim Soltani
University of Leipzig · Faculty of Physics and Earth Sciences

Master of Science
PhD student at the RS4Earth System Research,Uni-Leipzig.Focus: data science, machine learning (Deep Learning,AI),UAV.

About

5
Publications
2,727
Reads
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7
Citations
Citations since 2017
5 Research Items
7 Citations
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Introduction
Ph.D. candidate in the field of Machine Learning and Data Science at the University of Leipzig.
Skills and Expertise

Publications

Publications (5)
Article
Full-text available
Accurate information on the spatial distribution of plant species and communities is in high demand for various fields of application, such as nature conservation, forestry, and agriculture. A series of studies has shown that Convolutional Neural Networks (CNNs) accurately predict plant species and communities in high-resolution remote sensing data...
Article
Full-text available
The Kunduz River is one of the main tributaries of the Amu Darya Basin in North Afghanistan. Many communities live in the Kunduz River Basin (KRB), and its water resources have been the basis of their livelihoods for many generations. This study investigates climate change impacts on the KRB catchment. Rare station data are, for the first time, use...
Conference Paper
Full-text available
The world population is growing, and a majority of the population is and will be living in urban areas. Nearly 90 percent of this growth takes place in Asia and Africa. However, urbanisation processes are not distributed evenly. Mostly they are concentrated in prosperous regions, at infrastructural nodes, or along trade routes. The so-called New Si...
Article
Full-text available
The Kunduz River is one of the main tributaries of the Amu Darya Basin in North Afghanistan. Many communities live in the Kunduz River Basin (KRB), and its water resources have been the basis of their livelihoods for many generations. This study investigates climate change impacts on the KRB catchment. Rare station data are, for the first time, use...
Preprint
Full-text available
the total global population of this big cat species is estimated to be around 4080-6590. They spread across an area of 2 million square km with most of them being found in China, followed by Mongolia and India. The animal favors a rugged terrain interspersed with steep slopes, ridges, gullies, rocky outcrops, mostly an elevation of of 3000-4500m m....

Questions

Question (1)
Question
Dear all,
I am trying to classify urban areas using Landsat TM data, I have tried to get the image texture using GLCM and the result is somehow good, but I have seen many other literatures which exploited Multivariate Image texture and had better result compare to GLCM method.
GLCM: uses one band as input data
Multivariate Img text: uses multi-band as input data
I appreciate your help.
regards,
Salim

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