基于4尺度模型、机载POLDER和地面抛物线测量的针叶林和落叶针叶林BRDF研究

遥感信息 Pub Date : 1997-08-03 DOI:10.1109/IGARSS.1997.615828

Jing Chen, S. Leblanc, J. Cihlar, P. Bicheron, M. Leroy, D. Deering, T. Eck

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引用次数: 6

摘要

利用机载POLDER(1994年)和地面抛物线测量(1995年)以及4比例尺模式(1997年)对北方森林的定向反射率进行了调查。该模型较好地模拟了POLDER观测到的明显热点和抛物线前向散射观测到的轻微碗状。该模型还用于证明分支结构在从红光和近红外反射率计算NDVI的方向性中的重要性。

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Studies of BRDF in conifer and deciduous boreal forests using the 4-scale model and airborne POLDER and ground-based PARABOLA measurements

An investigation of directional reflectance of boreal forests is conducted using airborne POLDER (1994) and ground-based PARABOLA measurements (1995) and the 4-Scale model (1997). The model simulates well the pronounced hotspots observed by POLDER and the slight bowl shape in the forward scattering direction observed by PARABOLA. The model is also used to demonstrate the importance of branch architecture in the directionality of NDVI calculated from the red and near infrared reflectance.

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来源期刊

遥感信息

自引率

0.00%

发文量

3984

期刊介绍： Remote Sensing Information is a bimonthly academic journal supervised by the Ministry of Natural Resources of the People's Republic of China and sponsored by China Academy of Surveying and Mapping Science. Since its inception in 1986, it has been one of the authoritative journals in the field of remote sensing in China.In 2014, it was recognised as one of the first batch of national academic journals, and was awarded the honours of Core Journals of China Science Citation Database, Chinese Core Journals, and Core Journals of Science and Technology of China. The journal won the Excellence Award (First Prize) of the National Excellent Surveying, Mapping and Geographic Information Journal Award in 2011 and 2017 respectively. Remote Sensing Information is dedicated to reporting the cutting-edge theoretical and applied results of remote sensing science and technology, promoting academic exchanges at home and abroad, and promoting the application of remote sensing science and technology and industrial development. The journal adheres to the principles of openness, fairness and professionalism, abides by the anonymous review system of peer experts, and has good social credibility. The main columns include Review, Theoretical Research, Innovative Applications, Special Reports, International News, Famous Experts' Forum, Geographic National Condition Monitoring, etc., covering various fields such as surveying and mapping, forestry, agriculture, geology, meteorology, ocean, environment, national defence and so on. Remote Sensing Information aims to provide a high-level academic exchange platform for experts and scholars in the field of remote sensing at home and abroad, to enhance academic influence, and to play a role in promoting and supporting the protection of natural resources, green technology innovation, and the construction of ecological civilisation.