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Field data for satellite validation and forest structure modeling in a pure and sparse forest of Picea glehnii in northern Hokkaido
Ecological Research ( IF 1.7 ) Pub Date : 2020-05-25 , DOI: 10.1111/1440-1703.12114
Tomoko K. Akitsu 1 , Tatsuro Nakaji 2 , Toshiya Yoshida 3 , Rei Sakai 2 , Wataru Mamiya 2 , Terigele 4 , Kentaro Takagi 5 , Yoshiaki Honda 6 , Koji Kajiwara 6 , Kenlo N. Nasahara 1
Affiliation  

To validate and to improve ecological products obtained from satellites, such as a leaf area index (LAI), above‐ground biomass (AGB), and a fraction of photosynthetically active radiation (fAPAR), in‐situ accurate data are indispensable. They must be not a single point‐data but an areal data representing the satellite footprint. Their accuracy needs to be much higher than the required accuracy for the satellite products. The quantitative assessment of their error is necessary for evaluating the satellite products' error from the discrepancy between the satellite products and the in‐situ data. However, such data had not been available. In particular, there had been few data of LAI in a sparse evergreen needle‐leaved forest, because of difficulty of accuracy control of in‐situ observation in such a forest. To overcome the difficulty and to obtain the representative LAI, we made an allometric equation to estimate the leaf mass of Picea glehnii in northern Hokkaido. We report the allometric equations of leaf mass and AGB of P. glehnii, its leaf mass per area (LMA), its leaf life span, its leaf distribution, its crown shapes, its wood specific gravity, and tree locations. We also report LAI, AGB, and fAPAR within the 500 m × 500 m area, which is the footprint scale of the Global Change Observation Mission‐Climate satellite, in a pure and sparse forest of P. glehnii in northern Hokkaido. These precise data are useful for validation of other satellite data, especially with higher spatial resolution, and forest structure modeling.

中文翻译:

北海道北部云杉纯净稀疏森林中的卫星验证和森林结构建模的现场数据

为了验证和改善从卫星获得的生态产品,例如叶面积指数(LAI),地上生物量(AGB)和部分光合有效辐射(fAPAR),必不可少的就地准确数据。它们不能是单点数据,而是代表卫星足迹的面数据。它们的精度需要远远高于卫星产品所需的精度。从卫星产品和现场数据之间的差异来评估卫星产品的误差,必须对其误差进行定量评估。但是,尚无此类数据。尤其是,在稀疏的常绿针叶林中,由于很难进行原位观察的精确控制,因此LAI的数据很少。北海道北部的云杉。我们报告了P. glehnii的叶质量和AGB ,其单位面积叶质量(LMA),叶寿命,叶分布,冠形状,木材比重和树木位置的异速方程。我们还报告了500 m×500 m区域内的LAI,AGB和fAPAR,这是全球变化观察团气候卫星的足迹规模,该卫星位于北海道北部格伦尼松纯净稀疏的森林中。这些精确的数据可用于验证其他卫星数据,尤其是在具有更高空间分辨率和森林结构建模的情况下。
更新日期:2020-05-25
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