[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
Main Menu
Home::
Journal Information::
About the Journal
Editorial Board
Aims& Scopes
Peer Review Process
Publication Ethics
Copyright Open Access Policy
Abstracting and Indexing
Articles archive::
All Issues
Current Issue
Browse by Authors
Browse by Keywords
For Authors::
Call for Papers
Submission Instruction
Submission Form
For Reviewers::
Reviewers Section
Registration::
Registration Information
Registration Form
Contact us::
Contact Information
Contact us
Site Facilities::
Site map
Search contents
FAQ
Top 10 contents
Inform to friends
::
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 Samani1 , Ali Asghar Naghipour * , Pejman Tahmasbi Kohyani3 , Zahra Heidari Ghahfarrokhi3
1- Faculty of Natural Resources and Earth Science, Shahrekord University, Shahrekord, Iran
Faculty of Natural Resources and Earth Sciences, Shahrekord University, Shahrekord, Iran, Faculty of Natural Resources and Earth Sciences, Shahrekord University, Shahrekord, Iran , aa_naghipour@yahoo.com
3- Faculty of Natural Resources and Earth Sciences, Shahrekord University, Shahrekord, Iran
Abstract:   (1229 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 systematic-random sampling 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 forb 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 (“total and annual shrub production” or “total annual shrub 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 (“annual forb cover” or “annual forbs’ cover”?) (P < 0.01). AVI in August and June was correlated with the perennial grasses cover (grasses’ cover or grass cover) (r=0.56, r=0.45). The results highlighted the high potential of satellite imagery in estimating vegetation cover and biomass of different vegetation forms in a regional scale and its ability to replace traditional and expensive methods. Therefore, these results 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]   (393 Downloads)    
Type of Study: Research | Subject: Special
Received: 2025/05/16 | Accepted: 2025/07/11 | Published: 2026/03/11
References
1. Ahmad, A., Ordoñez, J., Cartujo, P., Martos, V. 2020. Remotely piloted aircraft (RPA) in agriculture: A pursuit of sustainability. Agronomy, 11(1): 7.
2. Arzani, H., King, G.W. 1994. Comparison of wheel point and point frame methods for plant cover measurement of semiarid and arid rangeland vegetation of New South Wales. The Rangeland Journal, 1: 94-105.
3. Arzani, H., King, G.W. 1995. A double sampling method for estimating forage production from cover measurement. In proceeding of 8th biennial Australian rangelands conference, 201-202.
4. Ashburn, P. 1979. The vegetative index number and crop identification. Remote Sensing Review, 13: 95-120.
5. Bagade, R.J. 2025. Evaluating Vegetation Dynamics through Multiple Vegetation Indices: An Integrated Study of CTVI, DVI, and NDVI in Pen Tehsil. International Journal of Advance and Applied Research, 12(3): 216-223.
6. Baret, F., Guyot, G. 1991. Potentials and limits of vegetation indices for LAI and APAR assessment. Remote sensing of environment, 35: 161-173.
7. Becchetti, T., George, M., McDougald, N., Dudley, D.M., Connor, M., Flavell, D.K., Vaughn, C.E., Forero, L.C., Frost, B., Oneto, S.R. 2016. Annual Range Forage Production. Univ. Calif, Agric, Nat, Resour. Publ, 8018: 1-12.
8. Bonham, C.D. 2013. Measurements for Terrestrial Vegetation: A John Wiley & Sons, Ltd., Publication.
9. Briske, D.D., Vetter, S., Coetsee, C., Turner, M.D. 2024. Rangeland afforestation is not a natural climate solution. Frontiers in Ecology and the Environment, 22(5): e2727.
10. Chen, C.F., Chen, C.R., Son, N.T. 2012. Investigating rice cropping practices and growing areas from MODIS data using empirical mode decomposition and support vector machines. GIScience & Remote Sensing, 49(1): 117-138.
11. Cilia, C., Panigada, C., Rossini, M., Meroni, M., Busetto, L., Amaducci, S., Boschetti, M., Picchi, V., Colombo, R. 2014. Nitrogen status assessment for variable rate fertilization in maize through hyperspectral imagery. Remote Sens, 6: 6549-6565.
12. Clevers, J.G.P.W. 1989. Application of a weighted infrared-red vegetation index for estimating leaf area index by correcting for soil moisture. Remote Sensing of Environment, 29: 25-37.
13. Cui, X., Gibbes, C., Southworth, J., Waylen, P. 2013. Using remote sensing to quantify vegetation change and ecological resilience in a semi-arid system. Land, 2(2): 108-130.
14. Didan, K. 2015. MODIS Vegetation Index User's Guide (Collection 6). University of Arizona, 1-28.
15. Ebrahimi, A., Bossuyt, B., Hoffmann, M. 2008. Effects of species aggregation, habitat and season on the accuracy of double‐sampling to measure herbage mass in a lowland grassland ecosystem. Grass and forage science, 63(1): 79-85.
16. Ebrahimi, A., Milotić, T., Hoffmann, M. 2010. A herbivore specific grazing capacity model accounting for spatio-temporal environmental variation: A tool for a more sustainable nature conservation and rangeland management. Ecological Modelling, 221(6): 900-910.
17. Eisfelder, C., Kuenzer, C., Dech, S. 2011. Derivation of biomass information for semi-arid areas using remote-sensing data. International Journal of Remote Sensing, 33(9): 2937-2984.
18. Fatiha, B., Abdelkader, A., Latifa, H., Mohamed, E. 2013. Spatio temporal analysis of vegetation by vegetation indices from multi-dates satellite images: application to a semi arid area in ALGERIA. Energy Procedia, 36: 667-675.
19. Frank, D.A., McNaughton, S.J. 1990. Aboveground biomass estimations with the canopy intercept method: a plant growth form caveat. Oikos, 1: 57-60.
20. Gao, X., Huete, A.R., Ni, W., Miura, T. 2000. MODIS bidirectional reflectance distribution function and albedo Algorithm: Algorithm Theoretical Basis Document Version 5.1. NASA Center for AeroSpace Information (CASI).
21. Gong, B., Im, J., Jensen, J.R., Coleman, M., Rhee, J., Nelson, E. 2012. Characterization of forest crops with a range of nutrient and water treatments using AISA hyperspectral imagery. GIScience & remote sensing, 49(4): 463-491.
22. Huete, A., Didan, K., Miura, T., Rodriguez, E.P., Gao, X., Ferreira, L.G. 2002. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote sensing of environment, 83: 195-213.
23. Hurtado-Uria, C., Hennessy, D., Shalloo, L., Schulte, R.P.O., Delaby, L., O’Connor, D. 2013. Evaluation of three grass growth models to predict grass growth in Ireland. The Journal of Agricultural Science, 151: 91-104.
24. Jackson, R.D., Huete, A.R. 1991. Interpreting vegetation indices. Preventive veterinary medicine, 11(3-4): 185-200.
25. Kumar, L., Sinha, P., Taylor, S., Alqurashi, A.F. 2015. Review of the use of remote sensing for biomass estimation to support renewable energy generation. Journal of Applied Remote Sensing, 9(1): 097696-097696.
26. Liu, H., Dahlgren, R.A., Larsen, R.E., Devine, S.M., Roche, L.M., O’Geen, A.T., Wong, A.J., Covello, S., Jin, Y. 2019. Estimating rangeland forage production using remote sensing data from a small unmanned aerial system (sUAS) and planetscope satellite. Remote Sensing, 11(5): 595.
27. Maselli, F., di Gregorio, A., Capecchi, V. Breda, F. 2009, Enrichment of land‐cover polygons with eco‐climatic information derived from MODIS NDVI imagery. Journal of Biogeography 36(4): 639-650.
28. Masters, D.G., Benes, S.E., Norman, H.C. 2007. Biosaline agriculture for forage and livestock production. Agriculture, Ecosystems & Environment, 119: 234-248.
29. Meshesha, D.T., Mohammed, M., Yosuf, D. 2019. Estimating carrying capacity and stocking rates of rangelands in Harshin District, eastern Somali Region, Ethiopia. Ecology and Evolution, 9(23):13309-13319.
30. Perry Jr, C.R., Lautenschlager, L.F. 1984. Functional equivalence of spectral vegetation indices. Remote sensing of environment, 14: 169-182.
31. Qi, J., Chehbouni, A., Huete, A.R., Kerr, Y.H., Sorooshian, S. 1994. A modified soil adjusted vegetation index. Remote sensing of environment, 48: 119-126.
32. Reeves, M., Washington-Allen, R., Angerer, J., Hunt, E.R., Kulawardhana, W., Kumar, L., Loboda, T., Loveland, T., Metternicht, G., Ramsey, R.D., Hall, J.V. 2024. A global view of remote sensing of rangelands: evolution, applications, future pathways. In Remote Sensing Handbook, Volume III (pp. 361-418). CRC Press.
33. Reinermann, S., Asam, S., Kuenzer, C. 2020. Remote Sensing of Grassland Production and Management-A Review. Remote Sensing, 12: 1949.
34. Richardson, A.J., Wiegand, C.L. 1977. Distinguishing vegetation from soil background information. Photogrammetric engineering and remote sensing, 43: 1541-1552
35. Rouse, J.W., Haas, R.H., Schell, J.A., Deering, D.W. 1974. Monitoring vegetation systems in the Great Plains with ERTS. NASA. Goddard Space Flight Center 3d ERTS-1 Symp, 1: 309-317.
36. Salem, I.B., Nazzal, Y., Sharma, M., Howari, F.M., Kumaresan, P.R., Karthi, A., Al-Taani, A.A., Maloukh, L., Xavier, C. 2024. Mapping and monitoring of mangrove species in Eastern Lagoon National Park, Abu Dhabi, using Landsat 8 OLI data. Arabian Journal of Geosciences, 17(4): 118.
37. Theau, J., Sankey, T.T., Weber, K.T. 2010. Multisensor analyses of vegetation indices in a semiarid environment, GIS Science and Remote Sensing, 47(2): 260-275.
38. Thiam, A.K. 1997. Geographic information systems and remote sensing methods for assessing and monitoring land degradation in the Sahel region: The case of southern Mauritania, 490.
39. Tsouros, D.C., Bibi, S., Sarigiannidis, P.G. 2019. A review on UAV-based applications for precision agriculture. Information, 10(11): 349.
40. Vallentine, J.F. 2001. Grazing Management. Academic Press, 2: 559-578.
41. White, R.R., Brady, M., Capper, J.L., Johnson, K.A. 2014. Optimizing diet and pasture management to improve sustainability of U.S. beef production. Agricultural Systems 130: 1-12.
42. Xiaohui, Y., Xulin, G. 2014. Quantifying Responses of Spectral Vegetation Indices to Dead Materials in Mixed Grasslands. Remote Sensing, 6(5): 4289-4304.
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 0.19 seconds with 37 queries by YEKTAWEB 4774