Geoscience and Remote Sensing, New Achievements Part 5 docx

Biomass and Remote Sensing of Biomass Part 5 pot

Biomass and Remote Sensing of Biomass Part 5 pot

... 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...

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Biomass and Remote Sensing of Biomass Part 7 docx

Biomass and Remote Sensing of Biomass Part 7 docx

... 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 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

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

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

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

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

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

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

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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