The Preparation of Updated Vegetation Maps by Processing Satellite Images: A Way in Sustainable Management of Agriculture
محورهای موضوعی : Environmental policy and managementAli Mohammadi Torkashvand 1 , Shahryar Sobhe Zahedi 2
1 - Department of Soil Science, Rasht Branch, Islamic Azad University, Rasht, Iran.
2 - Research Center of Agriculture and Natural Resources, Guilan, Iran
کلید واژه: Vegetation, Sustainable agriculture, Satellite Images, Agriculture management,
چکیده مقاله :
An important factor in sustainable agriculture and economic management is to calculate areas under different crops that the inputs of agriculture connect to this topic. Planning of agricultural mechanization, fertilizer and pesticide requirements, pests and diseases control, estimates of agricultural production, income and tax and financial planning, all linked to the cultivated areas and estimation of agricultural products. One of the problems in the agricultural section of Iran is the lack of accurate statistics of cultivated crops areas that this is much higher for horticultural products. Over time, it varies the area of land under cultivated crop, and orchards and bare lands; consequently the estimation of yield is not done as well due to these changes caused some problems in planning and management. Land Surveying is time-consuming and expensive, while mapping farms and orchards lands through classified satellite images is a high speed and low cost way. Nowadays, the satellite image processing techniques have developed for the estimation of crops, pest control, agricultural macro planning and preparing updated maps. A principal problem is the interference of plants spectral reflections that different methods have been proposed by researchers to differentiate vegetation on satellite images. At this paper, remote sensing imagery in mapping vegetation or various plants are investigated.
یک عامل مهم در مدیریت اقتصادی و کشاورزی پایدار، محاسبه سطح زیر کشت محصولات مختلف است که واردات کشاورزی بدان وابسته است. برنامهریزی مکانیزاسیون کشاورزی، نیازهای کود و سم، آفتکشها و کنترل بیماریهای گیاهی، برآورد تولید کشاورزی، برنامهریزی واردات و مالیات، همه به برآورد سطح زیر کشت و تولیدات کشاورزی ارتباط دارد. یکی از مشکلات بخش کشاورزی ایران، فقدان آمار دقیق از سطح زیر کشت محصولات کشاورزی است که این موضوع در تولیدات باغبانی بیشتر است. در طول زمان، سطح زیر کشت محصولات کشاورزی، باغات و اراضی بایر تغییر میکند و در نتیجه برآورد عملکرد به خوبی صورت نمیپذیرد و این مشکلاتی را در برنامهریزی و مدیریت ایجاد میکند. نقشهبرداری زمینی وقتگیر و پرهزینه است، در حالیکه تهیه نقشه به کمک طبقهبندی تصاویر ماهوارهای دارای سرعت زیاد و کم هزینه است. امروزه، تکنیکهای پردازش تصویر در تخمین محصولات و تولید نقشههای به روز شده توسعه یافته است. یک مشکل اساسی، تداخل بازتابهای طیفی گیاهان است که روشهای مختلفی توسط محققین برای تمایز پوششهای گیاهی بر روی تصاویر ماهوارهای پیشنهاد شده است. در این مقاله، پردازش تصاویر ماهوارهای در نقشهبرداری پوشش گیاهی متنوع بررسی شده است
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