Volume 76 (2023)
Volume 75 (2022)
Volume 74 (2021)
Volume 73 (2020)
Volume 72 (2019)
Volume 71 (2018)
Volume 70 (2017)
Volume 69 (2016)
Volume 68 (2015)
Volume 67 (2014)
Volume 66 (2013)
Volume 65 (2012)
Volume 63 (2010)
Volume 62 (2009)
The Effects of Drought on Vegetation Using using satellite remote sensing and meteorological data (Case study: Qazvin plain)

Setareh Bagheri; Reza Tamartash; Mohammad Jafari; Mohammad Reza Tatian; Arash Malekian

Volume 75, Issue 1 , June 2022, , Pages 1-18

https://doi.org/10.22059/jrwm.2020.277200.1361

Abstract
  Plain ecosystem is highly vulnerable to environmental changes, and drought is the most famous ecosystem change driver that is difficult to identify after its occurrence. In this research, to study the slope of vegetation changes against drought, the NDVI index of MODIS images and the SPI index from 2001 ...  Read More

The effect of snow cover area and duration changes on vegetation cover in Chaharmal and Bakhtiari Province

Leila Yaghamei; Reza Jafari; Saeed Soltani; Hasan Jahanbazi

Volume 74, Issue 4 , March 2022, , Pages 917-938

https://doi.org/10.22059/jrwm.2022.317220.1559

Abstract
  Snow is one of the effective fators on vegetation rate and function in mountainous areas. The aim of this study was to investigate the impact of snow cover area index and snow cover duration index on two declining and dominant plant species including Astragalus adscendens and Quercus brantii in Chaharmal ...  Read More

Predicting Net Primary Production of different Biomes of Jiroft Plain in the Face of Climate Change

saeed barkhori; elham rafiei sardooi; mohammadreza ramezani; ali azareh; maryam nasabpoor

Volume 73, Issue 3 , December 2020, , Pages 453-471

https://doi.org/10.22059/jrwm.2020.304190.1512

Abstract
  One of the most important and main components of ecosystems is net primary production, which is an important index for assessing the ecosystems performance in the face of environmental changes. To this end, with regards to the importance of the subject, in this study, to quantify the climate change impacts ...  Read More

Dust & Sand Source Identification Using Remotely Sensed Data: a comprehensive Approach

Behzad Rayegani; Susan Barati Ghahfarokhi; Ahmad Khoshnava

Volume 72, Issue 1 , June 2019, , Pages 83-105

https://doi.org/10.22059/jrwm.2019.251015.1223

Abstract
  The aim of this study is to develop a comprehensive approach to identifying dust & sand sources and to investigate their changes over a set period of time using remotely sensed data. For this purpose, data OLI data of Landsat 8 during the years 2013 through 2015 were used to make maps of vegetation ...  Read More

Identification of Vegetation-Vulnerable Areas to Drought Using Remote Sensing (Case study: Boushehr Province)

Fatemeh bahreini; Fatemeh Panahi; Mohammad Jafari; Arash Malekian

Volume 71, Issue 2 , September 2018, , Pages 341-354

https://doi.org/10.22059/jrwm.2018.231348.1112

Abstract
  The complexity of drought phenomenon hinders our full understanding of its impact. Field sampling, Geographic Information Systems, SPI and NDVI, EVI and SAVI indices derived from 16-day interval MODIS images during 2000-2015 were used to better understand the effects of drought on vegetation In recent ...  Read More