... England and Wales Potentillo–Caricetum ~ 200 England and Wales Peucedano–Phragmitetum ~ 300 England and Wales Rich-fen meadow ~ 50 0 England and Wales Cladio–Molinietum ~ 600 England and Wales ... England and Wales Angelico–Phragmitetum ~ 850 England and Wales Cicuto–Phragmitetum ~ 1200 England and Wales Phragmites consociation ~ 1300 England and Wales Glyceria ma...
Ngày tải lên: 19/06/2014, 12:20
... 8 .56 Stem biomass 2 35 5. 3 0.08 2.4 0.993 2.61 Branch biomass 98.8 10. 15 0.0 95 0.0 0.999 0. 35 Leaf biomass 5. 5 8.8 0.16 0.008 0.993 0.13 Table 1. Regression coefficient, mean error and ... Grasses = 30%; Snow and Ice = 15% ; Bare Rock = 18%; Sand and Desert Rock = 7%. Remote sensing has proven a powerful "tool" for assessing the identity, characteristi...
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Biomass and Remote Sensing of Biomass Part 1 doc
... Biomass and Remote Sensing of Biomass, Edited by Islam Atazadeh p. cm. ISBN 978- 953 -307-490-0 VI Contents Part 2 Remote Sensing of Biomass 127 Chapter 8 Introduction to Remote Sensing ... Some Venezuelan Reservoirs 57 Ernesto J. González, María L. Matos, Carlos Peñaherrera and Sandra Merayo Chapter 5 Estimation of Above-Ground Biomass of Wetlands 75 Laimdota T...
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Biomass and Remote Sensing of Biomass Part 2 potx
... 122.0 53 .0 Forest-floor 383.9 23.4 1 95. 8 50 .3 1 35. 9 Annual litter-fall 52 .6 3.8 5. 3 17.7 7.9 Common birch Above-ground biomass No data Forest-floor 2026.2 123 .5 373.6 ... in above-ground part of blue spruce stand was about 40% higher (56 ,237 kg.ha -1 ). The highest amount (about 154 % compared to birch stand) was found in the larch stand (102,2...
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Biomass and Remote Sensing of Biomass Part 3 potx
... Tropical forests 12 .5 17 .5 55 3 21.9 Temperate forests 7.7 10.4 292 8.1 Boreal forests 1.9 13.7 3 95 2.6 Artic tundra 0.9 5. 6 117 0 .5 Mediterranean shrubs 5 2.8 88 ... 1.4 Crops 3.1 13 .5 15 4.1 Tropical savanna and grasslands 7.2 27.6 326 19.9 Temperate grasslands 3.8 15 182 5. 6 Deserts 1.2 27.7 169 3 .5 *Da...
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Biomass and Remote Sensing of Biomass Part 4 ppt
... Blanca 12 .5 400,000 5, 000,000 144 9 58 ' N - 67º 25& apos; W El Pueblito 6.4 49 ,50 0,000 3 15, 000,000 152 9º12’ N - 65 34’ W El Cigarrón 4.9 50 ,50 0,000 246,000,000 158 9º12’ N - 65 40’ W El ... (23.91 ± 8.98) 11 .56 – 123.44 (48 .51 ± 32.08) Copepods Taguaza 43.86 – 150 .00 ( 85. 58 ± 29.79) 3.82 – 55 .03 (28.71 ± 15. 91) Copepods Lagartijo 34.00 – 373.00 (...
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Biomass and Remote Sensing of Biomass Part 6 pptx
... 2CT 53 5 209 ab 52 1 1 35 ab 479 61 a 200 25 c 470 103 bc 352 167 bc 1NT 367 87 b 367 91 bc 310 49 b 54 3 141 b 657 118 ab 655 250 bc 2NT 4 65 104 ... 8 .5 ab 58 .5 11.0 a 1NT 66 .5 6 .5 a 65. 6 15. 4 a 2NT 54 .5 5. 6 ab 47.4 7.9 a 3NT 67 .5 10.3 a 59 .0 18 .5 a LSD (1) 14.49 22.87 CV% (2) 13.0 21 .5...
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Biomass and Remote Sensing of Biomass Part 8 pot
... 1.3.3.3 Landsat TM 7 spectral bands 30m spatial resolution 16 day repeat cycle 1.3.3.4 MODIS Multi- spectral bands 250 -1000m spatial resolution (band dependent) 1day repeat cycle 1.3.3 .5 IKONOS ... colours of the targets. For example, the bands 3 (red band), 2 (green band) and 1 (blue band) of a AVHRR image can be assigned respectively to the R, G, and B colours for display. In...
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Biomass and Remote Sensing of Biomass Part 9 potx
... blue and, especially red, bands, somewhat lighter in the green band, and notably light in the near-IR bands (maximum in Landsat's Multispectral Scanner Bands 6 and 7 and Thematic Mapper Band ... Collins, W. (1978) Remote Sensing of Crop Type and Maturity, Photogrammetric Engineering and Remote Sensing, 44, 43 -55 . Curran, P. J. (1989) Remote sensing of foliar chemi...
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Biomass and Remote Sensing of Biomass Part 10 pptx
... range, important bands for the prediction of SOM are around 410, 57 0, 66 0and 52 0, 54 0 and 55 0 nm(Brown et al., 2006). Organic matter decreases the reflectance in the range 55 0–700 nm(Galvao ... coefficients between SOM with band 1, 2, 5 and 7 were negative, and correlation between SOM and NDVI was significantly positive, (α = 0.010). Site Variable Band1 Band2 Band...
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