[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
Main Menu
Home::
Journal Information::
Articles archive::
For Authors::
For Reviewers::
Registration::
Contact us::
Site Facilities::
::
Search in website

Advanced Search
..
Receive site information
Enter your Email in the following box to receive the site news and information.
..
:: Volume 13, Issue 27 (3-2026) ::
PEC 2026, 13(27): 125-139 Back to browse issues page
Evaluation of Landsat Satellite Imagery Capability in Estimating Production and Cover of Different Vegetation Forms
Razieh Soureshjani Samani , Ali asghar Naghipour * , Pejman Tahmasbi Kohyani , Zahra Heidari Ghahfarrokhi
Shahrekord University , aa_naghipour@yahoo.com
Abstract:   (124 Views)
Rangeland biomass production, as an indicator of annual plant growth, is influenced by various factors such as climate, soil, and topography. Due to the high cost of traditional field-based measurement methods, the use of remote sensing data as a fast, cost-effective, and reliable tool has gained significant importance in natural resource management. This study aimed to evaluate the efficiency of Landsat-8 satellite imagery in estimating the production of different vegetation forms in the semi-steppe rangelands of the Tang-e-Sayyad Protected Area in Chaharmahal-va-Bakhtiari Province. Field sampling was conducted using a random-systematic method across eight sites. In each site, three macroplots (30 × 30 m) were selected, and vegetation cover and biomass data were collected using 2 × 2 m plots. The results showed that vegetation indices including NDVI, DVI, PVI, PVI1, CTVI, RATIO, RVI, SAVI, TTVI, and TVI in April had a significant relationship (P < 0.001) with the production of annual forbs species. Additionally, WDVI in June was strongly correlated (r=0.61, P < 0.001) with the production of perennial grasses, and EVI (P < 0.05) in August showed a strong relationship with total and shrub annual production. NDVI in April, as well as NDVI and EVI in August, exhibited significant correlations (P < 0.05) with total and annual production. Vegetation indices including NDVI, DVI, MSAVI1, MSAVI2 ,PVI1, PVI2, CTVI, RATIO, TSAVI1, TSAVI2, SAVI, TTVI and TVI in June showed a significant relationship with annual forbs cover (P < 0.01). AVI in August and June was correlated with the perennial grasses cover (r=0.56, r=0.45). Result showed that the high potential of satellite imagery in estimating vegetation cover and biomass of different vegetation forms in regional scale and the suceession of them with traditon and expensive methods so they can be used in sustainable rangeland management.
 
Article number: 8
Keywords: Semi-steppe rangelands, Tang-e-Sayyad protected area, Vegetation indices, Chaharmahal-va-Bakhtiari, Correlation.
Full-Text [PDF 1488 kb]   (55 Downloads)    
Type of Study: Research | Subject: Special
Received: 2025/05/16 | Accepted: 2025/07/11 | Published: 2026/03/11
Send email to the article author

Add your comments about this article
Your username or Email:

CAPTCHA


XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Soureshjani Samani R, Naghipour A A, Tahmasbi Kohyani P, Heidari Ghahfarrokhi Z. Evaluation of Landsat Satellite Imagery Capability in Estimating Production and Cover of Different Vegetation Forms. PEC 2026; 13 (27) : 8
URL: http://pec.gonbad.ac.ir/article-1-1019-en.html


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 13, Issue 27 (3-2026) Back to browse issues page
مجله حفاظت زیست بوم گیاهان Journal of Plant Ecosystem Conservation
Persian site map - English site map - Created in 0.04 seconds with 37 queries by YEKTAWEB 4741