Investigating the 15-year-old seasonal variations in leaf area index using MODIS sensors in Iran

author

Abstract:

Today, it is widely used satellite imagery to monitor vegetation cover. The aim of this study is to analyses the leaf area in the period of 1395-1381 with the spatial resolution of a kilometer using the data of two remote sensing products of MODIS Terra and Aqua and seasonally. For this purpose, data were analyzed and statistical-mathematical compilation, coding and database creation were done in the software and then prepared the seasonal average map. These maps indicate that the centers of the center, east, and south-east are almost empty of leaf and / or leaf area. The area of the leaf is very thin in some areas and there is no vegetation cover 58.26 percentage of Iran.  In contrast, they have a good leaf area, the northern slopes of the Alborz, the North-West highlands and the middle Zagros domains whit 41.74 percentage, which generally include the fields, with the exception of the Hyrcanian forests and Arasbaran. In terms of time, the highest mean leaf area was in spring and summer with an average of 0.47 and 0.36, and the lowest mean were autumn and winter. In the next stage, the leaf area index was prepared. The cells were then placed in four chapters and finally in two groups. These two groups include the cold season with the autumn and winter season, and the hot season group with spring and summer.     

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

the impact of e-readiness on ec success in public sector in iran the impact of e-readiness on ec success in public sector in iran

acknowledge the importance of e-commerce to their countries and to survival of their businesses and in creating and encouraging an atmosphere for the wide adoption and success of e-commerce in the long term. the investment for implementing e-commerce in the public sector is one of the areas which is focused in government‘s action plan for cross-disciplinary it development and e-readiness in go...

seasonal changes in canopy leaf area index and moDis vegetation products for a boreal forest site in central Finland

Seasonal change in leaf area index (LAI) is highly important in remote sensing of land surface phenology because LAI is a main driving factor of forest reflectance. We present a time series of in situ measurements of boreal forest LAI expanding throughout the growing period from budburst to senescence. We measured the LAI of 20 stands at approximately two-week intervals between mid-May and mid-...

full text

The Healthy Eating Index 2005 among 13-17 Year-Old Students in Iran

Background: Quality of diet is one of the most important factors in maintaining and improving the children's health; whereas, the quality of children's diet has not been studied in Isfahan City of Iran. This study was conducted to assess the adequacy of diet using healthy eating index (HEI)-2005 among 13-17 year-old students in Isfahan during 2014. Methods: The empirical data on dietary intakes...

full text

the translators agency and ideological manipulation in translation: the case of political texts in translation classes in iran

در این تحقیق به نقش واسطه ای مترجم در ایجاد تغییرات ایدئولوژیک در ترجمه متون سیاسی پرداخته شده است. بدین منظور محقق متنی سیاسی در خصوص ادعاهای آمریکا در مورد برنامه هسته ای ایران را انتخاب کرد. این متن از سایت spacewar.com انتخاب شد که دارای ایدئولوژی مغرضانه در مورد برنامه هسته ای ایران است. سپس یک گروه 30 نفره از دانشجویان کارشناسی ارشدرشته مترجمی زبان انگلیسی دانشگاه شیخ بهایی انتخاب شدند. ا...

15 صفحه اول

metrics for the detection of changed buildings in 3d old vector maps using als data (case study: isfahan city)

هدف از این تحقیق، ارزیابی و بهبود متریک های موجود جهت تایید صحت نقشه های قدیمی سه بعدی برداری با استفاده از ابر نقطه حاصل از لیزر اسکن جدید شهر اصفهان می باشد . بنابراین ابر نقطه حاصل از لیزر اسکنر با چگالی حدودا سه نقطه در هر متر مربع جهت شناسایی عوارض تغییر کرده در نقشه های قدیمی سه بعدی استفاده شده است. تمرکز ما در این تحقیق بر روی ساختمان به عنوان یکی از اصلی ترین عارضه های شهری می باشد. من...

Evaluation of an Operational Leaf Area Index Retrieval Approach Using Vegetation and Modis Data

An operational method has been proposed to estimate the leaf area index (LAI) from satellite imagery in the framework of EUMETSAT Satellite Application Facility on Land Surface Analysis (LSA SAF). This study evaluates the performance of the LSA SAF LAI retrieval algorithm when prototyped to VEGETATION/CYCLOPES and MODIS reflectances over Europe for the 2000-2003 period. The results indicate tha...

full text

My Resources

Save resource for easier access later

Save to my library Already added to my library

{@ msg_add @}


Journal title

volume 7  issue 14

pages  189- 208

publication date 2019-10

By following a journal you will be notified via email when a new issue of this journal is published.

Keywords

No Keywords

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023