COMPARING PROCESS-BASED NET PRIMARY PRODUCTIVITY MODELS IN A MEDITERRANEAN WATERSHED

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DÖNMEZ C., BERBEROĞLU S., Forrest M., Cilek A., HICKLER T.

ISPRS Conference on Serving Society with Geoinformatics (SSG), Antalya, Türkiye, 11 - 17 Kasım 2013, ss.67-74 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.5194/isprsarchives-xl-7-w2-67-2013
  • Basıldığı Şehir: Antalya
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.67-74
  • Anahtar Kelimeler: NPP Modelling, Remote Sensing, Percent Tree Cover, Model Comparison, CASA, LPJ-GUESS, GLOBAL TELECONNECTIONS, VEGETATION MODEL, CLIMATE
  • Çukurova Üniversitesi Adresli: Evet

Özet

The aim of this study was to compare the estimation capability of two different process-based NPP models (CASA and LPJ-GUESS) in a Mediterranean watershed. Remotely sensed data and climate time series (temperature, precipitation and solar radiation) were input to these models in the example of Goksu River Basin which is located in the Eastern Mediterranean Part of Turkey.