The Preparation of Updated Vegetation Maps by Processing Satellite Images: A Way in Sustainable Management of Agriculture
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 agricul...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Islamic Azad University
2015-12-01
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Series: | International Journal of Agricultural Management and Development |
Subjects: | |
Online Access: | http://ijamad.iaurasht.ac.ir/article_516874_2fe864c76cf36bb38cfeab41b93269c5.pdf |
Summary: | 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. |
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ISSN: | 2159-5852 2159-5860 |