Volume 15 (2023)
Volume 14 (2022)
Volume 13 (2021)
Volume 12 (2020)
Volume 11 (2019)
Volume 10 (2018)
Volume 9 (2017)
Volume 8 (2016)
Volume 7 (2015)
Volume 6 (2014)
Volume 5 (2013)
Volume 4 (2012)
Volume 3 (2011)
Volume 2 (2010)
Volume 1 (2009)
Crop mapping using a combination of Sentinel-1 and 2 images in Ardabil province

Ali shamsoddini; Bahar Asadi

Articles in Press, Accepted Manuscript, Available Online from 25 January 2023


  Identifying and mapping crops provides important information for managing agricultural lands and estimating the area under cultivation of crops. This study investigates the importance of red edge bands for segregation of crops including wheat, barley, alfalfa, beans, broad beans, flax, corn, sugar beet ...  Read More

Temporal-spatial assessment of monthly precipitation based on CHIRPS,TRMM and MERRA data in Iran

Zahra Barkhordari; Ali Shamsoddini

Articles in Press, Accepted Manuscript, Available Online from 11 March 2024


  Due to the limitations of real precipitation measurement and the lack of proper spatial and temporal coverage of rainfall measurement in the country, remote sensing technology with high temporal and spatial resolution is considered as a useful tool for estimating the amount of precipitation phenomenon ...  Read More

Evaluation of Spatio-Temporal Downscaling Algorithms of MODIS Data to Sentinel- 2 Data in Different Land Cover Classes

Nahid Haghshenas; Ali Shamsoddini

Volume 15, Issue 4 , February 2024, , Pages 100-83


  Normally, images with a high resolution (temporal or spatial) are available, while there is a limitation in accessing images which are simultaneously high spatial and temporal resolution. While, in some applications, access to images with high spatial and temporal resolution is necessary. Therefore, ...  Read More

Combining Multiple Solution and Cost Function for Better LAI Estimation

alijafar mousivand; meysam shir mohammad pour; ali shamsoddini

Volume 14, Issue 2 , July 2022, , Pages 61-74


  Vegetation is a key component of the earth planet, which controls the energy and water exchanges between atmosphere and the Earth surface and plays an important role in the global energy cycles, such as oxygen, carbon dioxide, and water. Monitoring and management of vegetation are done using its biophysical ...  Read More

Urban Tree Canopy Mapping Using Object Oriented Classification and Machine Learning Algorithms

Nahid Haghshenas; Ali shamsoddini; Hossein Aghighi

Volume 13, Issue 1 , May 2021, , Pages 17-32


  It is necessary to know about the quantity of urban tree canopy cover due to its role in air and noise pollution reduction, wind prevention, saving rain water, and runoff control. Being expensive and time consuming, the manual extraction of tree canopy has been replaced by remote sensing techniques conducted ...  Read More

Comparative analysis of LAI retrieval from hyperspectral imagery using machine learning approaches

Behzad Mohammadi Sheikh Razi; Mohammad Sharif Molla; Ali Jafar Mousivand; Ali Shamsoddini

Volume 12, Issue 3 , February 2021, , Pages 47-64


  < p >Vegetation biophysical and biochemical variables are key inputs to a wide range of modelling approaches for carbon, water, energy cycle, climate and agricultural applications. Leaf Area Index (LAI) is among the most important canopy variables, used by many different physiological and functional ...  Read More

MODIS image downscaling using STARFM and SADFAT algorithms for daily Landsat-like spatial resolution evapotranspiration mapping

hamid salehi; Ali shamsoddini; Seyed Majid Mirlatifi

Volume 10, Issue 3 , January 2019, , Pages 123-140

  Satellites acquire data in low, medium, and high spatial resolutions. Freely-available high temporal resolution images are often acquired in medium (or low) spatial resolution and high spatial resolution images usually suffer from a low temporal resolution or from high costs. Moreover, high spatial resolution ...  Read More

Medium Spatial Resolution Image Classification Based on Spatial and Thermal Indices

A Shamsoddini; Sh Esmaeili

Volume 9, Issue 2 , December 2017, , Pages 117-132

  Differentiating agricultural areas which are not covered by vegetation from bare lands as well as identifying bare lands from urban areas in medium spatial resolution images, e.g. Landsat imagery, are usually difficult and erroneous tasks which lead to the inaccurate classification results. Therefore, ...  Read More