Mobasheri , Mohammad Reza
Khavaran Institute of Higher Education
[ 1 ] - Detection of the wheat rust disease infected farms using Landsat images
The goal of this study is to identify farms which are affected by wheat rust disease. For this, the sensor data of Landsat 7 satellites in growing season of 2013 and 2014 along with some laboratorial data containing reflectance spectrum of leaf and leaf health degree in different levels of disease are used. The reflectance values of leaf are collected by an ASD spectroradiometer in the range of...
[ 2 ] - Development of an Index-based Regression Model for Soil Moisture Estimation Using MODIS Imageries by Considering Soil Texture Effects
Soil moisture content (SMC) is one of the most significant variables in drought assessment and climate change. Near-real time and accurate monitoring of this quantity by means of remote sensing (RS) is a useful strategy at regional scales. So far, various methods for the SMC estimation using a RS data have been developed. The use of spectral information based on a small range of electromagnetic...
[ 3 ] - Detection of construction debris dumping sites using Landsat images (Case study: Shahriar and Mallard districts)
Natural phenomena and human activities are always changing the earth and Knowing about changad information of the earth’s surface is becoming more and more important in monitoring the local, regional and global resources and environments. The large collection of past and present remote sensing images made it possible to analyze spatio-temporal pattern of environmental elements and impacts of hu...
[ 4 ] - Wheat Leaf Rust Disease Severity Estimation Using Reflectance Spectrum Coding Methods
Using spectroradiometry and remote sensing techniques is an effective and rapid method in diagnosing vegetation diseases which enforced mostly by using spectral vegetation indices and statistical methods. The present study aimed to deploy encoding technique for the reflectance spectrum of the wheat leaves to assess the severity of the Rust disease. This is unlike to the spectral vegetation ind...
[ 5 ] - پیش بینی مناطق در خطر سرمازدگی با استفاده از مدل NEAT
سرمازدگی ازجمله پدیدههایی است که همه ساله خسارات بسیاری بر بخش کشاورزی وارد میسازد. از دیدگاه هواشناسی/اقلیمشناسی هنگامی که دمای هوا به کمتر از آستانه تحمل گیاهی می<stro...
[ 6 ] - Non-destructive Method for Estimating Biomass of Plants Using Digital Camera Images
Abstract Plant growth and biomass assessments are required in production and research. Such assessments are followed by major decisions (e.g., harvest timing) that channel resources and influence outcomes. In research, resources required to assess crop status affect other aspects of experimentation and, therefore, discovery. Destructive harvests are important because they influence treatment s...
[ 7 ] - Determination of the susceptible areas to wheat rust outbreak using threshold values and satellite images
Wheat is one of the most important grain crop in the world . This kind of plants getting infected by various natural and human factors. Occurrence of disease in this crop may cause disturbance in the circle of economic and management. Therefore prediction and prevention of this disease is one of the main concerns for managers. The method that can help to predict the conditions suitable for dise...
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