Spatial scale and pattern dependences of aboveground biomass estimation from satellite images: a case study of the Sierra National Forest, California-Reference-Cited by-同舟云学术

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Spatial scale and pattern dependences of aboveground biomass estimation from satellite images: a case study of the Sierra National Forest, California

Published:2016-03-26 Issue:8 Volume:31 Page:1711-1723
ISSN:0921-2973
Container-title:Landscape Ecology
language:en
Short-container-title:Landscape Ecol

Author:

Tao Shengli,Guo Qinghua,Wu Fangfang,Li Le,Wang Shaopeng,Tang Zhiyao,Xue Baolin,Liu Jin,Fang Jingyun

Funder

Sierra Nevada Adaptive Management Project

National Natural Science Foundation of China

National Key Basic Research Program of China

Publisher

Springer Science and Business Media LLC

Subject

Nature and Landscape Conservation,Ecology,Geography, Planning and Development

Link

http://link.springer.com/content/pdf/10.1007/s10980-016-0357-y.pdf

Reference70 articles.

1. Asner GP (2009) Tropical forest carbon assessment: integrating satellite and airborne mapping approaches. Environ Res Lett 4(3):4–11

2. Birth GS, McVey GR (1968) Measuring the color of growing turf with a reflectance spectrophotometer. Agron J 60(6):640–643

3. Blackard JA, Finco MV, Helmer EH, Holden GR, Hoppus ML, Jacobs DM, Lister AJ, Moisen GG, Nelson MD, Riemann R, Ruefenacht B (2008) Mapping US forest biomass using nationwide forest inventory data and moderate resolution information. Remote Sens Environ 112(4):1658–1677

4. Boyd DS (1999) The relationship between the biomass of Cameroonian tropical forests and radiation reflected in middle infrared wavelengths (3.0-5.0 μm). Int J Remote Sens 20(5):1017–1023

5. Boyd DS, Foody GM, Curran PJ, Lucas RM, Honzak M (1996) An assessment of radiance in Landsat TM middle and thermal infrared wavebands for the detection of tropical forest regeneration. Int J Remote Sens 17(2):249–261

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