Estimations of deciduous forest biomass by analyzing vegetation microwave emission

Zhongjun Zhang; Lixin Zhang; Shaojie Zhao; Huan Wang

doi:10.1117/12.892056

15 September 2011 Estimations of deciduous forest biomass by analyzing vegetation microwave emission

Zhongjun Zhang, Lixin Zhang, Shaojie Zhao, Huan Wang

Proceedings Volume 8156, Remote Sensing and Modeling of Ecosystems for Sustainability VIII; 815609 (2011) https://doi.org/10.1117/12.892056
Event: SPIE Optical Engineering + Applications, 2011, San Diego, California, United States

Abstract

Forest is important in global carbon cycle and has potential impact on global climatic change. Whether the soil moisture under forest area can be detected by microwave emission signature is unknown due to the dense forest cover. Also, the relationship between forest biomass and its microwave emissivity and transmissivity is of interest to be studied. The microwave emission contribution received by the radiometer above the forest canopy comes from both the soil surface and vegetation layer. In this study, a high-order emission model, Matrix-Doubling, was employed to simulate the emissivity of a young deciduous forest. A field experiment before and after watering the deciduous tree stand was carried in June 5, 2011 in Baoding, China to verify the model, and to measure the tree transmissivity. A tree was selected to be cut to measure the tree parameters and weighed its biomass. Assuming the forest as a non-scattering medium, the effective single-scattering albedo is obtained for 0th-order model by fitting the same emissivity from Matrix-Doubling model. For lower albedo which could be ignored, transmissivity of trees can be deduced by measured Brightness Temperatures before and after watering the underlying soil. The relationship between forest biomass and its transmissivity is presented in this paper.

Citation Download Citation

Zhongjun Zhang, Lixin Zhang, Shaojie Zhao, and Huan Wang "Estimations of deciduous forest biomass by analyzing vegetation microwave emission", Proc. SPIE 8156, Remote Sensing and Modeling of Ecosystems for Sustainability VIII, 815609 (15 September 2011); https://doi.org/10.1117/12.892056

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KEYWORDS

Microwave radiation

Vegetation

Soil science

Scattering

Remote sensing

Biological research

Ku band

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