Document Type : علمی - پژوهشی

Authors

1 Fars Agricultural and Natural Resources Research and Education Center

2 Department of water engineering, Agriculture Faculty, Shiraz university

Abstract

Iranian oak has been affected by oak canopy level dieback in recent years. This phenomenon has led to damage a vast part of the oak forests in the Zagros arena. As to the suitable temporal and spacial resolution of the recent satellite images, it seems promising to detect the forest dieback by remote sensing. The spatial capabilities of Spot6 images with pan and spectral resolution of 1.5 and 6 m, respectively in detecting the drying of oak trees was investigated. The forest area was located on ​​Kuhmareh district of Shiraz in Fars province. The values of different indices such NDVI, EVI, TDVI, SAVI, RNDVI, OSAVI, DVI, MSR of each tree stocks was obtained and the corresponding quantity of dryness was determined at the filed. The best correlation was obtained between TDVI and the observed data. A non-linear function was built based on TDVI standard deviation to predict the dryness of more than 30% as y=17.92(x-0.06)-0.32 with an R2 = 82%. Monitoring forest areas to understand the decline or recovery of trees will be of great help to the forest management community. Therefore, using the results of this study can be a proof to compare the current situation with future periods.

Keywords

Allen, C.D., 2009, Climate-Induced Forest Dieback: An Escalating Global Phenomenon, Unasylva (English ed.) 2009, Vol.60, No.231/232, PP. 43–49.
Barazmand, S., Shataee Joybari, Sh. & Abdi, O., 2012, Recognition Possibility of Treescanopy Die Back Using High Resolution Satellite Image of Quick Bird (Case Study: Shastkolate Forest, Gorgan), Iranian Journal of Forest and Poplar Research, 19(4), PP. 466–477 (In Persian).
Fallah Shamsi, S.R., Negahban, M., Ahmadi, Sh., Soleimani, H., Moeinoldin, M. & Ranjbar, E., 2011, Identification of Spatial Extension Pattern in Iranian Oak Forests Using Remote Sensing Techniques, Proceeding of The First National Conference of Zagros Forests, Shiraz.
Hamzapour, M., Kya-daliri, H. & Bordbar, S.K., 2011, Preliminary Study of Manna Oak (Quercus Brantii Lindl.) Tree Decline in Dashte-Barm of Kazeroon, Fars Provinc, Iranian Journal of Forest and Poplar Research, 19(2), PP. 352–363 (In Persian).
Haywood, A. & Stone, C., 2011, Mapping Eucalypt Forest Susceptible to Dieback Associated with Bell Miners (Manorina Melanophys) Using Laser Scanning, SPOT 5 and Ancillary Topographical Data, Ecological Modelling, 222(5), PP. 1174–1184.
 
ـــــــــــــــــــــــــــــــــــــــــــــــــــــــــــ
1. Zakeri Anaraki and Fallah Shamsi
2. Karami
 
 
Karami, O., Fallah, A., Shataei, Sh. & Latifi, H., 2016, Investigation on the Feasibility of Mapping of Oak Forest Dieback Severity Using Worldview-2 Satellite Data (Case Study: Ilam Forests), Journal of Forest and Poplar Research, 25(3), PP. 452–462 (In Persian).
Maurer, T., 2013, How to Pan-Sharpen Images Using the Gram-Schmidt Pan-Sharpen Method – a Recipe, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XL-1/W1, ISPRS Hannover Workshop 2013, 21–24 May 2013, Hannover, Germany.
Ogaya, R., Barbeta, A., Başnou, C. & Peñuelas, J., 2015, Satellite Data as Indicators of Tree Biomass Growth and Forest Dieback in a Mediterranean Holm Oak Forest, Annals of forest Science, 72(1), PP. 135–144.
Pir Bavaghar, M., 2011, Evaluation of Capability of IRS-P6 Satellite Data for Predicting Quantitative Attributes of Forests (Case Study: Northern Zagros Forests), Iranian Journal of Forest, Vol. 3, No. 4, PP. :277–289 (In Persian).
Rouyan Consult Engineer Co., 2007, Physiogaphy Studies of Kohmareh- Sorkhi Region of Fars province (In Persian).
Wang, C., Lu, Z. & Haithcoat, T.L., 2007, Using Landsat Images to Detect Oak Decline in the Mark Twain National Forest, Ozark Highlands, Forest Ecology and Management, 240(1–3), PP. 70–78.
Zakeri Anaraki, S. & Fallah Shamsi, S.R., 2014, An Investigation on Persian Oak (Quercus Brantii Lindl) Single Tree Defoliation Mapping, Using Rapideye and Aster-L1B Satellite Imageries, Iranian Journal of Forest, Vol. 5, No. 4, PP. 443–456 (In Persian).
Zobeiri, M. & Majd, A., 2017, AnIntroduction to Remoote Sensing Technology Its Application in Natural Resources, Tehran University Publication.