A Total Ratio of Vegetation Index (TRVI) for Shrubs Sparse Cover Delineating in Open Woodland
الموضوعات :
Hadi Fadaei
1
(Assistant professor of Amin police-science university)
الکلمات المفتاحية: Open woodland, Total Ratio Vegetation Index (TRVI), Maximum filtering algorithms 3x3 and 5x5,
ملخص المقالة :
Persian juniper and Pistachio are grown in low density in the rangelands of North-East of Iran. These rangelands are populated by evergreen conifers, which are widespread and present at low-density and sparse shrub of pistachio in Iran, that are not only environmentally but also genetically essential as seed sources for pistachio improvement in orchards. Rangelands offer excellent opportunities for remote-sensing-based inventories; detection of each shrub using very high-resolution satellite data is typically easier in sparse rangelands where the distance between shrubs exceeds the height of trees. In this study, the densities of juniper and natural pistachio shrubs were estimated using remote sensing to help the sustainable management and production of pistachio in this rangeland. Satellite imagery was acquired in July 2008 by Advanced Land Observing Satellite (ALOS). A vegetation index including Total Ratio Vegetation Index (TRVI) was introduced for these rangelands with sparse shrub cover, and the relationship between the new index and shrub density was investigated by the data of ALOS using 3×3 and 5×5 maximum filtering algorithms in the summer of 2011. The results showed that the distinguishing and estimating of tree density in such an open woodland using maximum filtering 3×3 filtering algorithms were more effective than filtering on ALOS satellite imageries.
Andrew, S. G., and Fisher, M., 1996. The distribution and status of the mountain juniper woodlands of Oman. Jour. Biogeography, 23(6): 791-803.
Blazquez, C.H., 1989. Computer-based image analysis and shrub counting with aerial color infrared photography. Jour. Imaging Technology, 15: 163-168.
Brandtberg, T., Mcgraw, J., Warner, T.A. and Landenberger, R., 2003. Image restoration based on multi-scale relationships of image structures. IEEE Transactions on Geoscience and Remote Sensing, 41(1): 102-110.
Chen, Q., Baldocchi, D., Gong, P., and Kelly, M., 2006. Isolating individual shrubs in a savanna woodland using small footprint LIDAR data. Photogrammetric Engineering & Remote Sensing, 72 (8): 923–932.
Colwell, J.E., 1974. Vegetation canopy reflectance. Remote Sens. Environ, 3: 175–183.
Fadaei, H. and Kolahi, M., 2008. Transect-plot inventory, a method for arid and semi-arid forests (A New Edition Method). LIFO 2008 Registration Freising (Germany), poster. (In Persian).
Fadaei, H., Suzuki, R., Sakai, T., and Torii, K., 2012. A Proposed new vegetation index, the total ratio vegetation index (TRVI), for arid and semiarid regions. ISPRS-International Archives of the Photogrammetry. Remote Sensing and Spatial Information Sciences, 1: 403-407.
Fadaei, H., T. Sakai, Yoshimura, T., and MORIYA, K., 2009. Estimation of shrub density in the juniper forest of north-east Iran by ALOS. Proceedings of the International Conference on Multipurpose Forest Management, Niigata, Japan, 47 pp.
FAO, 1992. Report on the round table on pastoralism. FAO Technical Cooperation Programme, Project TCP/IRA/2255, Rome. FAOSTAT. 2004. http://www.fao.org/waicent/portal/statistics_en.asp.
Fisher, M., and Andrew, S.G., 1995. The status and ecology of a Juniperus excelsa subsp. polycarpos woodland in the northern mountains of Oman. Vegetatio, 119(1): 33-51.
Gill, T., Johansen, K., Phinn, S., Trevithick, R., Scarth, P., & Armston, J., 2017. A method for mapping Australian woody vegetation cover by linking continental-scale field data and long-term Landsat time series. International Jour. Remote Sensing, 38(3): 679-705.
Gintzburger, G., Le Houérou, H. N., & Saïdi, S., 2006. Near East-West Asia arid and semiarid rangelands. Science et changements planétaires/Sécheresse, 17(1), 152-168.
Gougeon, F.A. and Donald G.L., 2006. The individual shrub crown approach applied to Ikonos images of a coniferous plantation area. Photogrammetric Engineering & Remote Sensing, 72 (11): 1287–1297.
Huete, A.R. and Jackson, R.D., 1987. Suitability of spectral indices for evaluating vegetation characteristics on arid rangelands. Remote Sensing of Environment, 25(2): 89-105.
Huete, A.R., Jackson, R.D. and Post, D.F., 1985. Spectral response of a plant canopy with different soil backgrounds. Remote Sensing of Environment, 17: 37-53.
Mehdi, H., Ali, S., Ali, M., & Mostafa, A., 2012. Effects of different fire severity levels on soil chemical and physical properties in Zagros forests of western Iran. (In Persian).
Ozdemir, I., 2008. Estimating stem volume by tree crown area and tree shadow area extracted from pan-sharpened Quickbird imagery in open Crimean juniper forests. International Jour. Remote Sensing, 29 (19): 5643-5655.
Purevdorj, T., Tateishi, R., Ishiyama, T. and Honda, Y., 1998. Relationships between percent vegetation cover and vegetation indices. International Jour. Remote Sensing, 19(18): 3519-3535.
Richardson, A.J. and Wiegand, C.L., 1990. Comparison of two models for simulating the soil-vegetation composite reflectance of a developing cotton canopy. International Jour. Remote Sensing, 11(3): 447-459.
Roller, N., 1973. Personal communication, Environmental Research Institute of Michigan.
Rouse, J.W., R.H. HAAS and Deering, D.W., 1974. Monitoring vegetation systems in the Great Plains with ERTS. In 3rd ERTS Symposium, Goddard Space Flight Center Greenbelt. NASA SP-351, 1. 309-317pp.
Todd, S.W., Hoffer, R.M. and Milchunas, D.G., 1998. Biomass estimation on grazed and ungrazed rangelands using spectral indices. International Jour. Remote Sensing, 19 (3): 427-438.
U.S. Salinity Laboratory Staff, 1969. Diagnosis and improvement of saline and alkali soils. U.S. Superintendent of Documents, Washington, DC. Agriculture Handbook, 60, 160 pp.
Zhao, P., Lu, D., Wang, G., Wu, C., Huang, Y., & Yu, S., 2016. Examining Spectral Reflectance Saturation in Landsat Imagery and Corresponding Solutions to Improve Forest Aboveground Biomass Estimation. Remote Sensing, 8(6): 469.
Zobeiry, M., 2002. Forest Biometry. Tehran University Publications, Tehran, 428 pp. (In Persian).
