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学者姓名：骆社周
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Abstract ：
Solar-induced chlorophyll fluorescence (SIF) is used to estimate terrestrial gross primary production (GPP) due to its physiological link to photosynthesis. However, strong angular variations in satellite-observed SIF (SIFobs), especially for forest canopies with a high structural heterogeneity, hampers robust estimation of GPP. Here, we use directional SIFobs datasets from OCO-2 and TROPOMI satellite sensors and the 3D discrete anisotropic radiative transfer model to investigate the directional properties of far-red SIFobs and their relationships with two GPP products obtained from MODIS and FluxCom datasets for three European forest types with contrasting canopy structures, i.e., boreal, temperate and Mediterranean forests. We found bowl-like angular distribution patterns of SIFobs in both observed and simulated boreal and temperate forests, but no generic distribution pattern of SIFobs was found for the Mediterranean forest. In our GPP estimation of boreal forest, oblique SIFobs performed better than the widely used nadir SIFobs. However, we did not find an optimal view angle suitable for all three forest types. Further, the angular dependencies and forest structure impacts present in SIFobs were found to still propagate into the estimation of total emitted SIF (SIFtotal), which generally regarded as free of these confounding effects. Finally, our results demonstrate that two commonly used variables, i.e., SIFobs with a constant viewing angle and the approximated SIFtotal, both fail to produce a robust relationship with GPP for the Mediterranean forest. These findings highlight the importance of forest canopy structural heterogeneity, including forest floor, on interpretation of directional satellite SIF observations, even when corrected and expressed as a total canopy SIF emission.
Keyword ：
Directional properties Directional properties Forest canopy structure Forest canopy structure Forest floor Forest floor Gross primary production Gross primary production Solar -induced chlorophyll fluorescence Solar -induced chlorophyll fluorescence Solar -viewing geometry Solar -viewing geometry
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| GB/T 7714 | Liu, Weiwei , Atherton, Jon , Mottus, Matti et al. Analysing far-red SIF directional anisotropy of three structurally contrasting forest canopies towards improved GPP estimation [J]. | AGRICULTURAL AND FOREST METEOROLOGY , 2023 , 338 . |
| MLA | Liu, Weiwei et al. "Analysing far-red SIF directional anisotropy of three structurally contrasting forest canopies towards improved GPP estimation" . | AGRICULTURAL AND FOREST METEOROLOGY 338 (2023) . |
| APA | Liu, Weiwei , Atherton, Jon , Mottus, Matti , Malenovsky, Zbynek , Luo, Shezhou , Zhang, Yongguang et al. Analysing far-red SIF directional anisotropy of three structurally contrasting forest canopies towards improved GPP estimation . | AGRICULTURAL AND FOREST METEOROLOGY , 2023 , 338 . |
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Abstract ：
The form of inorganic N in soil is governed by N transformations, but the relationship between the soil N transformation dynamics and the N uptake by plants is unclear. The effect of liming and nitrification inhibitor on crop N uptake efficiency (NUE) and N loss due to altered soil N processes was investigated using a (15) N tracing approach. Crops with different N uptake strategies (sweet potato (Dioscorea esculenta L.); an ammonium-N preferring plant and pakchoi (Brassica chinensis L.); a nitrate-N preferring plant) were grown in two agricultural soils with different pH values with or without lime and nitrification inhibitor (3,4-dimethylpyrazole phosphate, DMPP). We monitored the effects of (15) N-nitrate or (15) N-ammonium on the plant biomass and NUE, residual soil N, leachate, and emitted gas. The NUE of pakchoi in acidic soil was greater with nitrate than with ammonium; however, when lime was applied, the NUE of pakchoi increased significantly compared to ammonium alone. The NUE of pakchoi was not affected by N source in the alkaline soil, but application of DMPP together with ammonium significantly reduced NUE of pakchoi compared to ammonium alone. The N source had no effect on the NUE of sweet potato in acidic or alkaline soils, while NUE increased significantly after application of lime and ammonium (31.3%) and with application of DMPP (32.4%) compared to ammonium alone (30% in acidic soil and 23% in alkaline soil). Pakchoi NUE was significantly (p < 0.05) related to gross mineralization rate and the inorganic N supply capacity. Nitrous oxide emissions after N fertilization were greater in the alkaline than in acid soil greater after ammonium than after nitrate application. Since DMPP together with ammonium reduced N2O losses from the alkaline soil, this indicates the importance of nitrification as an N2O production process. Nitrate leaching was greater with lime and ammonium application compared to ammonium alone in the acidic soil, whereas the opposite occurred for ammonium leaching. In summary, crop NUE can be significantly increased by lime treatment whereas the addition of DMPP also increased the NUE of sweet potato, which prefer ammonium, grown in the alkaline soil.
Keyword ：
Acid soil Acid soil Alkaline soil Alkaline soil Plant N uptake Plant N uptake
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| GB/T 7714 | Guo, Baoling , Zheng, Xiangzhou , Yu, Juhua et al. Liming and nitrification inhibitor affects crop N uptake efficiency and N loss through changing soil N processes [J]. | BIOLOGY AND FERTILITY OF SOILS , 2022 , 58 (8) : 949-959 . |
| MLA | Guo, Baoling et al. "Liming and nitrification inhibitor affects crop N uptake efficiency and N loss through changing soil N processes" . | BIOLOGY AND FERTILITY OF SOILS 58 . 8 (2022) : 949-959 . |
| APA | Guo, Baoling , Zheng, Xiangzhou , Yu, Juhua , Ding, Hong , Luo, Shezhou , Carswell, Alison et al. Liming and nitrification inhibitor affects crop N uptake efficiency and N loss through changing soil N processes . | BIOLOGY AND FERTILITY OF SOILS , 2022 , 58 (8) , 949-959 . |
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叶面积指数（Leaf Area Index,LAI）是作物长势监测及产量估算的重要指标，准确高效的LAI反演对农田经济的宏观管理具有重要作用。研究探索了联合无人机激光雷达（Light Detection and Ranging,LiDAR）和高光谱数据反演玉米叶面积指数的潜力，并分析了LiDAR数据不同采样尺寸、高度阈值、点密度对LAI反演精度的影响同时确定三者的最优值。该研究分别从重采样的LiDAR数据和高光谱影像中提取了LiDAR变量和植被指数，然后基于偏最小二乘回归（Partial Least Square Regression,PLSR）和随机森林（Random Forest,RF）回归两种算法分别利用LiDAR变量、植被指数、联合LiDAR变量和植被指数构建预测模型，并确定反演玉米LAI的最优预测模型。结果表明：反演玉米LAI的最优采样尺寸、高度阈值、点密度分别为5.5 m、0.55 m、18 points/m2，研究发现最高的点密度（420 points/m2）并没有产生最优的玉米LAI反演精度，因此单独依靠增加点密度的方法提高LAI的反演精度并不可靠。基于LiDAR变量获得的LAI反演精度（PLSR:R2=0.874,RMSE=0.317;RF:R2=0.942,RMSE=0.222）高于基于植被指数获得的LAI反演精度（PLSR:R2=0.741,RMSE=0.454;RF:R2=0.861,RMSE=0.338），而使用组合变量构建预测模型的反演精度（PLSR:R2=0.885,RMSE=0.304;RF:R2=0.950,RMSE=0.203）优于使用单一变量建立的LAI预测模型，其中利用联合LiDAR变量和植被指数建立的随机森林回归模型为最优预测模型。因此，将两种数据源融合在提高植被LAI反演精度方面具有一定的潜力。
Keyword ：
叶面积指数 叶面积指数 无人机激光雷达 无人机激光雷达 点云密度 点云密度 玉米 玉米 高光谱 高光谱
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| GB/T 7714 | 张亚倩 , 骆社周 , 王成 et al. 联合无人机激光雷达和高光谱数据反演玉米叶面积指数 [J]. | 遥感技术与应用 , 2022 , 37 (05) : 1097-1108 . |
| MLA | 张亚倩 et al. "联合无人机激光雷达和高光谱数据反演玉米叶面积指数" . | 遥感技术与应用 37 . 05 (2022) : 1097-1108 . |
| APA | 张亚倩 , 骆社周 , 王成 , 习晓环 , 聂胜 , 黎东 et al. 联合无人机激光雷达和高光谱数据反演玉米叶面积指数 . | 遥感技术与应用 , 2022 , 37 (05) , 1097-1108 . |
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课程是人才培养的核心要素，课程质量直接决定人才培养质量。课题组针对地方农林类高等院校农科类专业测量学课程长期存在的问题，结合测量学课程的特点，以福建农林大学农业资源与环境专业测量学课程为例，围绕课前学习、课堂学习、课后学习和多元化的学习评价体系，从课程教学目标、教学内容和教学组织等方面，探索基于慕课和翻转课堂相结合的混合式一流本科课程建设的路径，为地方农林类高等院校农科类专业一流本科基础课程的建设提供参考。
Keyword ：
一流课程 一流课程 农业资源与环境专业 农业资源与环境专业 测量学 测量学 混合式教学 混合式教学 翻转课堂 翻转课堂
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| GB/T 7714 | 马丹 , 曹佳萍 , 张黎明 et al. 新时代视域下测量学一流本科课程建设路径探索 [J]. | 大学教育 , 2022 , (06) : 107-109 . |
| MLA | 马丹 et al. "新时代视域下测量学一流本科课程建设路径探索" . | 大学教育 06 (2022) : 107-109 . |
| APA | 马丹 , 曹佳萍 , 张黎明 , 骆社周 . 新时代视域下测量学一流本科课程建设路径探索 . | 大学教育 , 2022 , (06) , 107-109 . |
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Point cloud filtering is a crucial step in most airborne light detection and ranging (LiDAR) applications. Many filtering algorithms have been proposed, but the filtering effect has some limitations in complex environments. To improve the filtering effect in complex terrain, a multilevel adaptive filter (MAF) combining morphological reconstruction and thin plate spline (TPS) interpolation is proposed. The digital elevation model (DEM) generated in each iteration is used as the marker image for morphological reconstruction to extract ground pixels, and an adaptive residual threshold is achieved by using terrain gradient as a compensation. The benchmark dataset provided by the International Society for Photogrammetry and Remote Sensing (ISPRS) and another LiDAR dataset in northwestern China were used to evaluate the filtering performance of MAF. For the ISPRS benchmark dataset, MAF obtained the lowest average total error (3.72%) and highest average kappa coefficient (87.16%) compared with eight classic filtering algorithms. For the dataset in northwestern China, the DEM generated from the filtering result of MAF obtained higher accuracy than the filtering result of TerraScan. Overall, the MAF achieved promising results without considering the selection of filtering window, which may enhance the robustness and applicability of the algorithm in different environments.
Keyword ：
interpolation-based algorithm interpolation-based algorithm morphological reconstruction morphological reconstruction point cloud filtering point cloud filtering thin plate spline interpolation thin plate spline interpolation
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| GB/T 7714 | Meng, Xiangshuang , Lin, Yi , Yan, Lei et al. Airborne LiDAR Point Cloud Filtering by a Multilevel Adaptive Filter Based on Morphological Reconstruction and Thin Plate Spline Interpolation [J]. | ELECTRONICS , 2019 , 8 (10) . |
| MLA | Meng, Xiangshuang et al. "Airborne LiDAR Point Cloud Filtering by a Multilevel Adaptive Filter Based on Morphological Reconstruction and Thin Plate Spline Interpolation" . | ELECTRONICS 8 . 10 (2019) . |
| APA | Meng, Xiangshuang , Lin, Yi , Yan, Lei , Gao, Xianlian , Yao, Yunjun , Wang, Cheng et al. Airborne LiDAR Point Cloud Filtering by a Multilevel Adaptive Filter Based on Morphological Reconstruction and Thin Plate Spline Interpolation . | ELECTRONICS , 2019 , 8 (10) . |
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