Estimation of Above Ground Forest Biomass at Muğla Using ICESat GLAS and Landsat Data
Yazarlar (1)
Doç. Dr. Doğukan Doğu YAVAŞLI
Kırşehir Ahi Evran Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SCOPUS dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Remote Sensing Applications: Society and Environment | ||
| Dergi ISSN | 2352-9385 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | Scopus | ||
| Makale Dili | İngilizce | Basım Tarihi | 10-2016 |
| Cilt / Sayı / Sayfa | 4 / 0 / 211–218 | DOI | 10.1016/j.rsase.2016.11.004 |
| Makale Linki | http://linkinghub.elsevier.com/retrieve/pii/S2352938516300295 | ||
| Özet |
| Accurate estimation of aboveground forest biomass (AGB) is essential for carbon budgets. In this study we present the use of both satellite lidar (ICESat/GLAS) and optical (Landsat) data for estimation of AGB at Muğla province of Turkey. We collected field data in 2013 and 2014. Plot-level AGB estimates were calculated using equations representative to the species at the study area. Various GLAS parameters and Landsat vegetation indices were modeled using multiple regression analysis to estimate AGB. In the first model (Model1) height of median energy (HOME) and the ratio of HOME to maximum vegetation height (%HOME) parameter of GLAS showed relation with field based AGB estimates with a coefficient of determination (R2) of 0.88. The second model (Model2) that uses the AGB estimations of Model1 and the variables obtained from Landsat TM indices had a R2 of 0.73. The resulting map was validated … |
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| Google Scholar | 16 |