"Trees: structure and function" . "3"^^ . . . . "86868" . "Estimation of total leaf area (LAT) is important to express biochemical properties in plant ecology and remote sensing studies. A measurement of LAT is easy in broadleaf species, but it remains challenging in coniferous canopies. We proposed a new geometrical model to estimate Norway spruce LAT and compared its accuracy with other five published methods. Further, we assessed variability of the total to projected leaf area conversion factor (CF) within a crown and examined its implications for remotely sensed estimates of leaf chlorophyll content (C ab). We measured morphological and biochemical properties of three most recent needle age classes in three vertical canopy layers of a 30 and 100-year-old spruce stands. Newly introduced geometrical model and the parallelepiped model predicted spruce LAT with an error <5 % of the average needle LAT, whereas two models based on an elliptic approximation of a needle shape underestimated LAT by up to 60 %. The total to projected leaf area conversion factor varied from 2.5 for shaded to 3.9 for sun exposed needles and remained invariant with needle age class and forest stand age. Erroneous estimation of an average crown CF by 0.2 introduced an error of 2\u20133 \u03BCg cm2 into the crown averaged C ab content. In our study, this error represents 10\u201315 % of observed crown averaged C ab range (33\u201353 \u03BCg cm2). Our results demonstrate the importance of accurate LAT estimates for validation of remotely sensed estimates of C ab content in Norway spruce canopies." . . "Lhot\u00E1kov\u00E1, Z." . "RIV/67179843:_____/13:00381096" . "RIV/67179843:_____/13:00381096!RIV14-GA0-67179843" . "[348DC641599F]" . . . . "Kaplan, V\u011Broslav" . "Measurements methods and variability assesment of the Norway spruce total leaf area. Implications for remote sensing"@en . . "Malenovsk\u00FD, Z." . . . . "Measurements methods and variability assesment of the Norway spruce total leaf area. Implications for remote sensing"@en . . . . "1" . . . "11"^^ . "27" . "DE - Spolkov\u00E1 republika N\u011Bmecko" . "Hanu\u0161, Jan" . "Measurements methods and variability assesment of the Norway spruce total leaf area. Implications for remote sensing" . . . "000313732500011" . "10.1007/s00468-012-0774-8" . . . "Estimation of total leaf area (LAT) is important to express biochemical properties in plant ecology and remote sensing studies. A measurement of LAT is easy in broadleaf species, but it remains challenging in coniferous canopies. We proposed a new geometrical model to estimate Norway spruce LAT and compared its accuracy with other five published methods. Further, we assessed variability of the total to projected leaf area conversion factor (CF) within a crown and examined its implications for remotely sensed estimates of leaf chlorophyll content (C ab). We measured morphological and biochemical properties of three most recent needle age classes in three vertical canopy layers of a 30 and 100-year-old spruce stands. Newly introduced geometrical model and the parallelepiped model predicted spruce LAT with an error <5 % of the average needle LAT, whereas two models based on an elliptic approximation of a needle shape underestimated LAT by up to 60 %. The total to projected leaf area conversion factor varied from 2.5 for shaded to 3.9 for sun exposed needles and remained invariant with needle age class and forest stand age. Erroneous estimation of an average crown CF by 0.2 introduced an error of 2\u20133 \u03BCg cm2 into the crown averaged C ab content. In our study, this error represents 10\u201315 % of observed crown averaged C ab range (33\u201353 \u03BCg cm2). Our results demonstrate the importance of accurate LAT estimates for validation of remotely sensed estimates of C ab content in Norway spruce canopies."@en . "0931-1890" . "6"^^ . . "I, P(GA205/09/1989)" . "Measurements methods and variability assesment of the Norway spruce total leaf area. Implications for remote sensing" . "Luke\u0161, Petr" . . "Homolov\u00E1, L." . "chlorophyll content; conversion factor; Picea abies; projected leaf area; remote sensing; total leaf area"@en .