Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Parviz Fatehi"'
Autor:
Ghasem Ronoud, Parviz Fatehi, Ali A. Darvishsefat, Erkki Tomppo, Jaan Praks, Michael E. Schaepman
Publikováno v:
Canadian Journal of Remote Sensing, Vol 47, Iss 6, Pp 818-834 (2021)
In this study, the capability of Landsat-8 (L8), Sentinel-2 (S2), Sentinel-1 (S1), and their combination was investigated for estimating aboveground biomass (AGB). A pure stand of Fagus Orientalis located in the Hyrcanian forest of Iran was selected
Externí odkaz:
https://doaj.org/article/eccf3a1efb8c4f77b9cf56a61d0818cc
Publikováno v:
Remote Sensing, Vol 7, Iss 12, Pp 16315-16338 (2015)
Spatial information of forest structural variables is crucial for sustainable forest management planning, forest monitoring, and the assessment of forest ecosystem productivity. We investigate a complex alpine forest ecosystem located in the Swiss Na
Externí odkaz:
https://doaj.org/article/f09fb4010e594f67b11158436d7e48a7
Publikováno v:
تحقیقات جنگل و صنوبر ایران, Vol 19, Iss 2, Pp 253-242 (2011)
Quantitative attributes of forest stands are valuable data that are very important for the evaluation of forest resources. Regarding to unique structure of Zagros forests, we tried to predict tree density using SPOT5-HRG satellite data in this study.
Externí odkaz:
https://doaj.org/article/a6399ecb773845fea6d0236b5d6a5868
Publikováno v:
تحقیقات جنگل و صنوبر ایران, Vol 18, Iss 1, Pp 151-143 (2010)
Stand volume is an important criterion in forest sciences for monitoring status and function of forests, estimation of productivity, prediction and modeling of forest disturbance, economic and environmental issues and forest planning. The aim of this
Externí odkaz:
https://doaj.org/article/ab72027cdc784776a7ead9d325f83606
Publikováno v:
تحقیقات جنگل و صنوبر ایران, Vol 17, Iss 3, Pp 463-450 (2009)
To evaluate the capability of SPOT5 HRG and IRS-P6 LISS-III in separating the pollarding areas of northern Zagros forests and preparing the map of this area, some parts of pollarded forests located at Baneh city were selected. The pollarding areas (S
Externí odkaz:
https://doaj.org/article/ffb4662a0c5745339dfcf6fbc8db9657
Publikováno v:
International Journal of Remote Sensing. 41:8048-8068
Satellite remote sensing may serve as an ideal technique to detect dust storms for high temporal and spatial scales. In this paper, we propose an improved dust identification index (IDII) based on ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a134522a04f95618c36c55b5f6bd45a9
https://doi.org/10.1080/01431161.2020.1770366
https://doi.org/10.1080/01431161.2020.1770366