منابع مشابه
A model-based approach for mapping rangelands covers using Landsat TM image data
Empirical models are important tools for relating field-measured biophysical variables to remotely sensed data. Regression analysis has been a popular empirical method of linking these two types of data to estimate variables such as biomass, percent vegetation canopy cover, and bare soil. This study was conducted in a semi-arid rangeland ecosystem of Qazvin province, Iran. This paper presents t...
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This paper presents a method for predicting areas at risk from dryland salinity using information derived from multi-temporal Landsat TM satellite images combined with landform data derived from high-quality digital elevation models. The method is applied in the south west agricultural region of Western Australia to predict areas at risk from dryland salinity. This paper presents modifications ...
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Neural networks are massively parallel arrays of simple processing units that can be used for computationally complicated tasks such as image processing. This paper develops an efficient method for processing remote-sensing satellite data using complex valued artificial neurons as an approach to the problems associated with computer vision— region identification and classification—as they are a...
متن کاملDetection of Drought Effects Change on Isfahan City Green Vegetation Cover by Using Landsat TM and ETM+ Data
احمد مختاری1، ناهید کاوهزاده 2، فرزاد شنبه دستجردی3 1- عضو هیات علمی مرکز تحقیقات کشاورزی و منابع طبیعی اصفهان[email protected] 2 -کارشناس مرکز تحقیقات کشاورزی و منابع طبیعی اصفهان 3-کارشناس ارشد مرکز تحقیقات کشاورزی و منابع طبیعی اصفهان چکیده امروزه استفاده از سامانههای سنجش از دور جزء لاینفک مطالعات زیست محیطی و از اسناد معتبر در بررسیهای اقتصاد محیط زیست، توسعه سامانههای دقیقت...
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ژورنال
عنوان ژورنال: The Journal of Japan Institute of Navigation
سال: 1987
ISSN: 0388-7405,2187-3275
DOI: 10.9749/jin.76.33