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)
Potatoes fields mapping based on the phenology feature and Support Vector Machine utilizing Google Earth Engine platform

Salman Goodarzdashti; Mohamad Seifi; Mahshid Kohandel; Davoud Ashourloo; Hossein Aghighi

Articles in Press, Accepted Manuscript, Available Online from 06 February 2023


  Potatoes are the fourth most cultivated crop worldwide. Regarding the strategic role of this crop in food security, accurate potato mapping provides essential information for national crop censuses and potato yield estimation /prediction at any scale. Although remote sensing (RS) approaches based on ...  Read More

SVM-CRF Method and Box Plot Technique for Outlier Detection of Lidar Point Cloud

Farzaneh Aghighi; Omid Mahdi Ebadati E.; Hossein Aghighi

Volume 14, Issue 2 , July 2022, , Pages 91-109


  Lidar point cloud dataset and 3-D models are widely used in urban feature extraction, forest, urban and tourism management, robotics, computer game production etcetera. On the other hand, The existence of outliers in the lidar point cloud is inevitable. Therefore, outlier detection and removing them ...  Read More

Employing the Convolutional LSTM Network in Crop Classification using NDVI Time Series

Mohammad Reza Gili; Davoud Ashourloo; Hossein Aghighi; Ali Akbar Matkan; Alireza Shakiba

Volume 14, Issue 1 , June 2022, , Pages 89-106


  Changes in crop growth at relatively short intervals, asymmetry of cultivation of similar crops, the spectral similarity between different crops at certain times of the growing season, and lack of ground data make classifying crops in satellite imagery a challenging task. Changing the amount of canopy ...  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 Being expensive and time consuming, the manual extraction of tree canopy has been replaced by remote sensing techniques conducted ...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

Adoption of IoT technology to estimate evapotranspiration from satellite imagery

Soheil Radiom; hossein Aghighi; Hamid Salehi Shahrabi

Volume 12, Issue 2 , August 2020, , Pages 33-44


  Evapotranspiration is one of the most important components of energy and water balance. The most important way to get real large-scale evapotranspiration is to utilize satellite imagery and remote sensing. Implementation of evapotranspiration calculation algorithms such as SEBAL demands calculation of ...  Read More

Evaluation of Sentinel-2 imagery for the estimation of Silage maize biomass: A case study of Magsal Animal Husbandry & Agriculture, Qazvin, Iran

Farzaneh Hadadi; Hossain Aghighi; Ayoub Moradi

Volume 10, Issue 4 , February 2019, , Pages 99-120

  The accurate estimation of crop biomass using satellite data is one of the important challenges in environmental remote sensing. Traditionally, spectral vegetation indices (VIs) derived from spectral reflectances in red (R) and near infrared (NIR) bands have been employed to statistically estimate ...  Read More

Classification of LiDAR Points Cloud Using Markov Random Field and Machine Learning Techniques

F Aghighi; O.M Ebadati; H Aghighi

Volume 9, Issue 2 , December 2017, , Pages 41-60

  Light Detection and Ranging (LiDAR) point cloud dataset and 3 dimensional (3-D) models have been extensively used for urban feature extraction, urban management, forestry management, managing urban green space, tourism management, robotics, and video and computer games' production. One of the main steps ...  Read More

Evaluation of Vegetation Indices to Recognizing Wheat Leaf and Yellow Rust at Canopy Scale

D Ashourloo; H Aghighi; A.A Matkan; H Nematollahi

Volume 9, Issue 4 , May 2017, , Pages 111-128

  Wheat rust is one of the important diseases of cereal crops in Iran and other countries in the world which imposes irreparable damages to the agricultural economy. In this study, the effects of the leaf and yellow rust disease on wheat leaves reflectance were studied. For this purpose, various vegetation ...  Read More