ABSTRACT Daily average net radiation （DANR） is an important variable for estimating evapotranspiration from satellite data at regional scales, and is used for atmospheric and hydrologic modeling, as well as ecosyst...ABSTRACT Daily average net radiation （DANR） is an important variable for estimating evapotranspiration from satellite data at regional scales, and is used for atmospheric and hydrologic modeling, as well as ecosystem management. A scheme is proposed to estimate the DANR over large heterogeneous areas under clear-sky conditions using only remotely sensed data. The method was designed to overcome the dependence of DANR estimates on ground data, and to map spatially consistent and reasonably distributed DANR, by using various land and atmospheric data products retrieved from MODIS （Moderate Resolution Imaging Spectroradiometer） data. An improved sinusoidal model was used to retrieve the diurnal variations of downward shortwave radiation using a single instantaneous value from satellites. The downward shortwave component of DANR was directly obtained from this instantaneous value, and the upward shortwave component was estimated using satellite-derived albedo products. Four observations of air temperature from MOD07_L2 and MYD07_L2 data products were used to derive the downward longwave component of DANR, while the upward longwave component was estimated using the land surface temperature （LST） and the surface emissivity from MOD1 l_L2. Compared to in situ observations at the cropland and grassland sites located in Tongyu, northern China, the root mean square error （RMSE） of DANR estimated for both sites under clear-sky conditions was 37 W m-2 and 40 W m-2, respectively. The errors in estimation of DANR were comparable to those from previous satellite-based methods. Our estimates can be used for studying the surface radiation balance and evapotranspiration.展开更多
Soil acidification is a major global issue of sustainable development for ecosystems. The increasing soil acidity induced by excessive nitrogen （N） fertilization in farmlands has profoundly impacted the soil carbon ...Soil acidification is a major global issue of sustainable development for ecosystems. The increasing soil acidity induced by excessive nitrogen （N） fertilization in farmlands has profoundly impacted the soil carbon dynamics. However, the way in which changes in soil pH regulating the soil carbon dynamics in a deep soil profile is still not well elucidated. In this study, through a 12-year field N fertilization experiment with three N fertilizer treatments （0, 120, and 240 kg N/（hm-2·a）） in a dryland agroecosystem of China, we explored the soil pH changes over a soil profile up to a depth of 200 cm and determined the responses of soil organic carbon （SOC） and soil inorganic carbon （SIC） to the changed soil pH. Using a generalized additive model, we identified the soil depth intervals with the most powerful statistical relationships between changes in soil pH and soil carbon dynamics. Hierarchical responses of SOC and SIC dynamics to soil acidification were found. The results indicate that the changes in soil pH explained the SOC dynamics well by using a non-linear relationship at the soil depth of 0-80 cm （P=0.006）, whereas the changes in soil pH were significantly linearly correlated with SIC dynamics at the 100-180 cm soil depth （P=0.015）. After a long-term N fertilization in the experimental field, the soil pH value decreased in all three N fertilizer treatments. Furthermore, the declines in soil pH in the deep soil layer （100-200 cm） were significantly greater （P=0.035） than those in the upper soil layer （0-80 cm）. These results indicate that soil acidification in the upper soil layer can transfer excess protons to the deep soil layer, and subsequently, the structural heterogeneous responses of SOC and SIC to soil acidification were identified because of different buffer capacities for the SOC and SIC. To better estimate the effects of soil acidification on soil carbon dynamics, we suggest that future investigations for soil acidification should be extended to a deeper soil depth, e.g., 200 cm.展开更多
运动恢复结构算法(structure from motion, SfM)是一种通过计算图像匹配关系,恢复出相机位姿和目标三维结构的重建算法。提出一种基于赋权视角连接图的增量式运动恢复结构算法。首先建立基于图像对立体匹配质量的赋权连接图,量化了图像...运动恢复结构算法(structure from motion, SfM)是一种通过计算图像匹配关系,恢复出相机位姿和目标三维结构的重建算法。提出一种基于赋权视角连接图的增量式运动恢复结构算法。首先建立基于图像对立体匹配质量的赋权连接图,量化了图像两两之间的匹配关系;其次在赋权连接图中边的权重的基础上,搜索度数感知的最佳初始种子对;最后根据已重建顶点的连通性构建下一张最佳图像候选集,设计了基于顶点度数与特征点分布的下一张最佳图像评价算法。在公开数据集上实验结果显示,本文算法在重建质量、相机校准率和点云生成数量的表现优于现有先进的运动恢复结构算法,相比基准对比算法,本文算法在不同数据集上平均重建耗时至少降低了19%,点云生成速率至少提升了21%。展开更多
基于涡动相关系统观测的民勤绿洲荒漠过渡带梭梭人工林生态系统通量资料,定量分析了2018年生长季(5—10月)碳通量变化特征及其影响因子,为民勤梭梭人工林生态系统碳源/汇的评估提供基础数据.结果表明:生长季净碳交换量在日尺度上呈对称...基于涡动相关系统观测的民勤绿洲荒漠过渡带梭梭人工林生态系统通量资料,定量分析了2018年生长季(5—10月)碳通量变化特征及其影响因子,为民勤梭梭人工林生态系统碳源/汇的评估提供基础数据.结果表明:生长季净碳交换量在日尺度上呈对称的"U"型曲线变化;在季节尺度上,呈双峰曲线变化规律,各月均为碳汇,总固碳量为34.38 g C·m^-2,且9月固碳量较高,为12.31 g C·m^-2,7月最低,为0.89 gC·m^-2.白天生态系统净碳交换随光合有效辐射的增加而增加,符合直角双曲线关系,但当饱和水汽压差大于2.5 kPa时,增加程度减弱.生态系统呼吸与气温呈较好的指数关系,其温度敏感性系数为1.7.整个生长季期间,白天和夜间的净碳交换量均与土壤温度呈显著相关.展开更多
基金jointly supported by the National Basic Research Program of China (973 Program Grant No.2012CB956202 and 2009CB723904)the Knowledge Innovation Program of the Chinese Academy of Sciences (Grant No.KZCX2-EW-202-03)
文摘ABSTRACT Daily average net radiation （DANR） is an important variable for estimating evapotranspiration from satellite data at regional scales, and is used for atmospheric and hydrologic modeling, as well as ecosystem management. A scheme is proposed to estimate the DANR over large heterogeneous areas under clear-sky conditions using only remotely sensed data. The method was designed to overcome the dependence of DANR estimates on ground data, and to map spatially consistent and reasonably distributed DANR, by using various land and atmospheric data products retrieved from MODIS （Moderate Resolution Imaging Spectroradiometer） data. An improved sinusoidal model was used to retrieve the diurnal variations of downward shortwave radiation using a single instantaneous value from satellites. The downward shortwave component of DANR was directly obtained from this instantaneous value, and the upward shortwave component was estimated using satellite-derived albedo products. Four observations of air temperature from MOD07_L2 and MYD07_L2 data products were used to derive the downward longwave component of DANR, while the upward longwave component was estimated using the land surface temperature （LST） and the surface emissivity from MOD1 l_L2. Compared to in situ observations at the cropland and grassland sites located in Tongyu, northern China, the root mean square error （RMSE） of DANR estimated for both sites under clear-sky conditions was 37 W m-2 and 40 W m-2, respectively. The errors in estimation of DANR were comparable to those from previous satellite-based methods. Our estimates can be used for studying the surface radiation balance and evapotranspiration.
基金supported by the National Basic Research Program of China(2014CB954204)the National Natural Science Foundation of China(41701099,31770765)
文摘Soil acidification is a major global issue of sustainable development for ecosystems. The increasing soil acidity induced by excessive nitrogen （N） fertilization in farmlands has profoundly impacted the soil carbon dynamics. However, the way in which changes in soil pH regulating the soil carbon dynamics in a deep soil profile is still not well elucidated. In this study, through a 12-year field N fertilization experiment with three N fertilizer treatments （0, 120, and 240 kg N/（hm-2·a）） in a dryland agroecosystem of China, we explored the soil pH changes over a soil profile up to a depth of 200 cm and determined the responses of soil organic carbon （SOC） and soil inorganic carbon （SIC） to the changed soil pH. Using a generalized additive model, we identified the soil depth intervals with the most powerful statistical relationships between changes in soil pH and soil carbon dynamics. Hierarchical responses of SOC and SIC dynamics to soil acidification were found. The results indicate that the changes in soil pH explained the SOC dynamics well by using a non-linear relationship at the soil depth of 0-80 cm （P=0.006）, whereas the changes in soil pH were significantly linearly correlated with SIC dynamics at the 100-180 cm soil depth （P=0.015）. After a long-term N fertilization in the experimental field, the soil pH value decreased in all three N fertilizer treatments. Furthermore, the declines in soil pH in the deep soil layer （100-200 cm） were significantly greater （P=0.035） than those in the upper soil layer （0-80 cm）. These results indicate that soil acidification in the upper soil layer can transfer excess protons to the deep soil layer, and subsequently, the structural heterogeneous responses of SOC and SIC to soil acidification were identified because of different buffer capacities for the SOC and SIC. To better estimate the effects of soil acidification on soil carbon dynamics, we suggest that future investigations for soil acidification should be extended to a deeper soil depth, e.g., 200 cm.
文摘运动恢复结构算法(structure from motion, SfM)是一种通过计算图像匹配关系,恢复出相机位姿和目标三维结构的重建算法。提出一种基于赋权视角连接图的增量式运动恢复结构算法。首先建立基于图像对立体匹配质量的赋权连接图,量化了图像两两之间的匹配关系;其次在赋权连接图中边的权重的基础上,搜索度数感知的最佳初始种子对;最后根据已重建顶点的连通性构建下一张最佳图像候选集,设计了基于顶点度数与特征点分布的下一张最佳图像评价算法。在公开数据集上实验结果显示,本文算法在重建质量、相机校准率和点云生成数量的表现优于现有先进的运动恢复结构算法,相比基准对比算法,本文算法在不同数据集上平均重建耗时至少降低了19%,点云生成速率至少提升了21%。
文摘基于涡动相关系统观测的民勤绿洲荒漠过渡带梭梭人工林生态系统通量资料,定量分析了2018年生长季(5—10月)碳通量变化特征及其影响因子,为民勤梭梭人工林生态系统碳源/汇的评估提供基础数据.结果表明:生长季净碳交换量在日尺度上呈对称的"U"型曲线变化;在季节尺度上,呈双峰曲线变化规律,各月均为碳汇,总固碳量为34.38 g C·m^-2,且9月固碳量较高,为12.31 g C·m^-2,7月最低,为0.89 gC·m^-2.白天生态系统净碳交换随光合有效辐射的增加而增加,符合直角双曲线关系,但当饱和水汽压差大于2.5 kPa时,增加程度减弱.生态系统呼吸与气温呈较好的指数关系,其温度敏感性系数为1.7.整个生长季期间,白天和夜间的净碳交换量均与土壤温度呈显著相关.
