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学者姓名：江洪
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Abstract ：
针对诸如水体等暗色地物信息影响山区地形阴影提取精度的问题，提出一种基于地物第一主成分特征和光谱特征的地形阴影提取方法。首先，分析包括地形阴影在内的4类典型地物光谱特征和第一主成分特征，建立阴影分量PCA1和水体分量NDMBWI，构建归一化阴影指数NSI；然后，通过分析NSI和NDVI之间的二维空间分布构建动态阈值；最后，分割图像信息，获取地形阴影区域。试验结果表明：(1)相较于其他方法，基于NSI的动态阈值法总体精度和Kappa系数均最高（约为0.893和0.759），阴影区域反射率的3个统计量（R、SD和CV系数）均较低，表明该方法能有效消除水体和其他暗色地物影响，准确提取阴影；(2)基于NSI构建的动态阈值法在不同时相和不同研究区上的地形阴影提取结果良好，地形阴影同水体、暗色地物和建筑区分度较高，能在一定程度上抑制云阴影的影响，算法具有良好的稳定性和适用性。
Keyword ：
地形阴影 地形阴影 水体 水体 阴影指数 阴影指数 阴影检测 阴影检测
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| GB/T 7714 | 张雍 , 江洪 , 郭家 . 顾及水域的Sentinel-2数据地形阴影检测方法研究 [J]. | 遥感技术与应用 , 2024 , 39 (02) : 492-501 . |
| MLA | 张雍 等. "顾及水域的Sentinel-2数据地形阴影检测方法研究" . | 遥感技术与应用 39 . 02 (2024) : 492-501 . |
| APA | 张雍 , 江洪 , 郭家 . 顾及水域的Sentinel-2数据地形阴影检测方法研究 . | 遥感技术与应用 , 2024 , 39 (02) , 492-501 . |
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针对更丰富卷积特征(RCF)算法检测电力线时存在边缘模糊、特征图包含太多噪声、在融合特征图时丢失多尺度信息等问题，对RCF算法进行改进.首先，使用具有平移不变性的下采样技术增强模型的鲁棒性；然后，在RCF主干网络中引入卷积块注意力模块(CBAM)机制，提高模型对电力线特征的表达能力；最后，在RCF的侧输出网络中加入级联网络，借助基于通道注意力机制的多尺度特征融合模块对特征图进行融合，从而获得更优异的细节保持效果.实验结果表明，改进模型的最优数据集规模、最佳图像比例和平均精度可分别提高0.7%、 1.3%和1.7%,检测结果噪声数量少，电力线更加清晰准确.
Keyword ：
多尺度融合 多尺度融合 无人机 无人机 更丰富卷积特征(RCF) 更丰富卷积特征(RCF) 注意力机制 注意力机制 电力线 电力线 边缘检测 边缘检测
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| GB/T 7714 | 郭家 , 江洪 , 张雍 . 基于改进RCF和无人机影像的电力线检测 [J]. | 福州大学学报(自然科学版) , 2024 , 52 (02) : 168-175 . |
| MLA | 郭家 等. "基于改进RCF和无人机影像的电力线检测" . | 福州大学学报(自然科学版) 52 . 02 (2024) : 168-175 . |
| APA | 郭家 , 江洪 , 张雍 . 基于改进RCF和无人机影像的电力线检测 . | 福州大学学报(自然科学版) , 2024 , 52 (02) , 168-175 . |
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以长汀县为研究区,采用当量因子法核算2010-2020年的生态系统服务价值,使用Pearson相关性分析方法和双变量自相关方法探讨生态系统间的权衡与协同关系,并借助自组织映射网络方法识别不同的生态系统服务簇.结果表明:2010-2020年长汀县生态系统服务价值在数量上呈现上升趋势,在空间上呈现"四周高、中心低"的环状分布特征;协同关系是长汀县生态系统服务的主导关系,主要分布在生态系统服务价值高的区域,权衡关系主要分布在生态系统服务价值低的区域;根据聚类结果和生态系统的主导服务功能将长汀县分为水源涵养簇、服务枯竭簇、生态调节簇和生产生态簇.研究结果可为长汀县生态系统服务可持续发展提供科学依据.
Keyword ：
权衡与协同 权衡与协同 生态系统服务价值 生态系统服务价值 生态系统服务簇 生态系统服务簇
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| GB/T 7714 | 林静 , 江洪 , 岳辉 et al. 长汀县生态系统服务权衡与协同关系 [J]. | 海南大学学报（自然科学版） , 2024 , 42 (3) : 301-311 . |
| MLA | 林静 et al. "长汀县生态系统服务权衡与协同关系" . | 海南大学学报（自然科学版） 42 . 3 (2024) : 301-311 . |
| APA | 林静 , 江洪 , 岳辉 , 林根根 , 金时来 , 唐丽芳 . 长汀县生态系统服务权衡与协同关系 . | 海南大学学报（自然科学版） , 2024 , 42 (3) , 301-311 . |
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以植被、地形、气象、人为活动4类共23个山火影响因子为基础，构建特征数据集并基于CatBoost集成学习方法构建了福州市日度山火风险评估模型.研究表明：2010—2021年福州市山火的发生具有空间聚集性，且山火发生次数存在显著下降趋势；福州市山火的发生受归一化植被指数的影响最大，其次是气象、地形及人为活动因子；集成学习方法对福州市山火预测精度普遍较高，CatBoost山火预警模型在概率预测及火点识别等方面均优于目前常用的RF和XGBoost模型，AUC为0.928，基于该模型得出福州市山火风险由其东北、西南部向中心降低，罗源县、连江县、闽清县、永泰县山火风险相对较高，福州市区山火风险相对较低.本研究可实现福州市山火风险等级评估，对福州市开展针对性山火防控管理工作具有一定参考价值.
Keyword ：
山火 山火 影响因子 影响因子 时空分布 时空分布 集成学习 集成学习 风险评估 风险评估
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| GB/T 7714 | 于欣 , 江洪 , 林静 et al. 基于CatBoost的福州市山火风险评估研究 [J]. | 海南大学学报(自然科学版) , 2024 , 42 (02) : 174-185 . |
| MLA | 于欣 et al. "基于CatBoost的福州市山火风险评估研究" . | 海南大学学报(自然科学版) 42 . 02 (2024) : 174-185 . |
| APA | 于欣 , 江洪 , 林静 , 徐加其 . 基于CatBoost的福州市山火风险评估研究 . | 海南大学学报(自然科学版) , 2024 , 42 (02) , 174-185 . |
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Evaluation ecosystem service value (ESV) is critical, as 'lucid waters and lush mountains are invaluable assets'. To assess the incremental effects of ecological assets on soil and water conservation in subtropical mountains, we developed a remote-sensing-driven mountainous equivalent factor (RS-MEF) method to estimate the ESV of Changting County, China. This method is a hybrid of a conventional equivalent factor framework and remote sensing techniques for mountains, achieving several advancements, including spatial adjustment using vegetation activity merged with productivity, improved spatial resolution, and the removal of topographic effects. Using the RS-MEF method, we estimated that the ESV of Changting County was approximately CNY 15.80 billion in 2010 and CNY 34.83 billion in 2022. Specifically, the ESV per unit area of the major soil erosion area (MSEA) in the county was less than that of the non-major soil erosion area (n-MSEA); however, the ESV growth rate of the MSEA from 2010 to 2022 was faster than that of the n-MSEA. Therefore, the ESV gap between the two areas was reduced from 28.99% in 2010 to 15.83% in 2022. Topographic gradient analysis illustrates that areas with elevations of 385 to 658 m and steep slopes achieved a high ESV, while high-elevation areas with gentle slopes will be a focus of control in the next phase. Our study demonstrates that significant achievements have been made in ecological restoration from an ESV perspective, with a notable reduction in low-ESV areas in the MSEA; the insights gained into ESV growth and its underlying factors are valuable and instructive for future soil and water conservation efforts. © 2024 by the authors.
Keyword ：
Abiotic Abiotic Anthropogenic Anthropogenic
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| GB/T 7714 | Jiang, Hong , Lin, Jing , Liu, Bibao et al. Discovering the Ecosystem Service Value Growth Characteristics of a Subtropical Soil Erosion Area Using a Remote-Sensing-Driven Mountainous Equivalent Factor Method [J]. | Remote Sensing , 2024 , 16 (19) . |
| MLA | Jiang, Hong et al. "Discovering the Ecosystem Service Value Growth Characteristics of a Subtropical Soil Erosion Area Using a Remote-Sensing-Driven Mountainous Equivalent Factor Method" . | Remote Sensing 16 . 19 (2024) . |
| APA | Jiang, Hong , Lin, Jing , Liu, Bibao , Yue, Hui , Lin, Jinglan , Shui, Wei et al. Discovering the Ecosystem Service Value Growth Characteristics of a Subtropical Soil Erosion Area Using a Remote-Sensing-Driven Mountainous Equivalent Factor Method . | Remote Sensing , 2024 , 16 (19) . |
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【Objective】 Develop a method to improve the potato (Solanum tuberosum) leaf area index (LAI) estimation accuracy using the UAV multiple spectral wavebands and texture information. 【Method】 The DJI P4M drone was used to collect multispectral images of the southern winter potato at seedling period, budding period and tuber swelling period from February to April 2021. LAI data were measured by LAI-2000 canopy analyzer. The spectral and texture characteristics of images were extracted. The correlations between vegetation index, texture characteristics and LAI were analyzed. The selected characteristic variables were analyzed based on subset of adjusted R2adj. The principal component analysis was used to fuse spectrum and texture features, and the principal component analysis-multiple linear regression (PCA-MLR) model was used to estimate potato LAI. 【Result】 From the seedling period to the tuber swelling period, the PCA-MLR estimation model was better than texture multiple linear regression (T-MLR) and vegetation index multiple linear regression (VI-MLR) model, with R2 of 0.73, 0.59 and 0.66 respectively. 【Conclusion】 This study proposed a method of PCA-MLR to estimate the potato LAI and improve the levels of the potato growth monitoring and field management. © 2023 Editorial Department, Journal of South Agricultural University. All rights reserved.
Keyword ：
LAI LAI Multi-spectral Multi-spectral Potato Potato Remote sensing Remote sensing Texture feature Texture feature UAV UAV
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| GB/T 7714 | Li, J. , Jiang, H. , Luo, W. et al. Potato LAI estimation by fusing UAV multi-spectral and texture features [融合无人机多光谱和纹理特征的马铃薯 LAI 估算] [J]. | Journal of South China Agricultural University , 2023 , 44 (1) : 93-101 . |
| MLA | Li, J. et al. "Potato LAI estimation by fusing UAV multi-spectral and texture features [融合无人机多光谱和纹理特征的马铃薯 LAI 估算]" . | Journal of South China Agricultural University 44 . 1 (2023) : 93-101 . |
| APA | Li, J. , Jiang, H. , Luo, W. , Ma, X. , Zhang, Y. . Potato LAI estimation by fusing UAV multi-spectral and texture features [融合无人机多光谱和纹理特征的马铃薯 LAI 估算] . | Journal of South China Agricultural University , 2023 , 44 (1) , 93-101 . |
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Monitoring the extra-high-voltage transmission line corridor (EHVTLC) in mountains is critical for safe smart-grid operation. However, the transmission lines are so narrow that they are difficult to recognize using multispectral satellite images with a spatial resolution of 10 m. In this study, we developed a new method using the red band-shadow-eliminated vegetation index (SEVI)-blue band (RSB) composite image to enhance the EHVTLC in green mountains (named RSB-enhancement method). Using this method, the EHVTLC becomes evident in the false-color synthesis of the RSB composite of the Sentinel-2 image. Then, we recognized and extracted approximately 342.45 km of the EHVTLC in a mountainous region of Fuzhou City, China, including a 46.73 km three-parallel-lane segment of 1000 kV and a 295.72 km two-parallel-lane segment of 500 kV. Spatial analysis shows that the SEVI mean difference between the EHVTLC and the buffer zone reaches approximately 10%, and three landslides and 2.66 km(2) soil erosion reside in the buffer zone which area is approximately 73.67 km(2). Finally, the RSB-enhancement method can be used in other satellite images with spatial resolutions of greater than 10 m for enhancement and recognition the transmission line corridors in green mountains.
Keyword ：
Enhancement method Enhancement method green mountains green mountains shadow-eliminated vegetation index (SEVI) shadow-eliminated vegetation index (SEVI) soil erosion soil erosion transmission line lane (TLL) transmission line lane (TLL)
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| GB/T 7714 | Jiang, Hong , Zhang, Yong , Lin, Jinglan et al. Developing a new red band-SEVI-blue band (RSB) enhancement method for recognition the extra-high-voltage transmission line corridor in green mountains [J]. | INTERNATIONAL JOURNAL OF DIGITAL EARTH , 2023 , 16 (1) : 806-824 . |
| MLA | Jiang, Hong et al. "Developing a new red band-SEVI-blue band (RSB) enhancement method for recognition the extra-high-voltage transmission line corridor in green mountains" . | INTERNATIONAL JOURNAL OF DIGITAL EARTH 16 . 1 (2023) : 806-824 . |
| APA | Jiang, Hong , Zhang, Yong , Lin, Jinglan , Zheng, Xiaogan , Yue, Hui , Chen, Yunzhi . Developing a new red band-SEVI-blue band (RSB) enhancement method for recognition the extra-high-voltage transmission line corridor in green mountains . | INTERNATIONAL JOURNAL OF DIGITAL EARTH , 2023 , 16 (1) , 806-824 . |
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【目的】研究无人机遥感影像估算马铃薯Solanum tuberosum叶面积指数（Leaf area index，LAI）方法，提高马铃薯LAI反演精度。【方法】利用大疆P4M无人机采集2021年2－4月南方冬种马铃薯幼苗期、现蕾期、块茎膨大期多光谱影像，用LAI-2000冠层分析仪实测LAI数据。提取影像光谱、纹理等信息，分析植被指数、纹理特征与LAI的相关性，基于R~(2)_(adj)的全子集分析优选特征变量。采用主成分分析，融合光谱和纹理特征，用PCA-MLR（Principal component analysis-multiple linear regression）模型估算马铃薯L...
Keyword ：
LAI LAI 光谱 光谱 无人机 无人机 纹理特征 纹理特征 遥感影像 遥感影像 马铃薯 马铃薯
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| GB/T 7714 | 李健 , 江洪 , 罗文彬 et al. 融合无人机多光谱和纹理特征的马铃薯LAI估算 [J]. | 华南农业大学学报 , 2023 , (01) : 1-12 . |
| MLA | 李健 et al. "融合无人机多光谱和纹理特征的马铃薯LAI估算" . | 华南农业大学学报 01 (2023) : 1-12 . |
| APA | 李健 , 江洪 , 罗文彬 , 麻霞 , 张雍 . 融合无人机多光谱和纹理特征的马铃薯LAI估算 . | 华南农业大学学报 , 2023 , (01) , 1-12 . |
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As an important indicator to measure the health of terrestrial ecosystems, the Gross Primary Productivity (GPP) of vegetation can directly reflect the improvement of regional environment. Therefore, accurate estimation of vegetation GPP changes is of great significance to regional sustainable development. In this paper, a GPP estimation model using the CatBoost algorithm integrating topographic data was developed. Using the vorticity flux observation data from China and Japan, this model was applied to simulate the long term GPP of Fujian Province where the topographic effect is significant. The results show that: (1) Terrain features are important parameters for the estimation of GPP using machine learning methods. The accuracy of GPP simulation results with terrain features included is significantly improved, and the Root Mean Square Error (RMSE) is decreased by 16%; (2) The GPP estimation model based on CatBoost has higher accuracy and stronger robustness and effectively reduces the overestimation and underestimation phenomena existing in traditional GPP estimation models and commonly used machine learning models (e.g., random forest and support vector machine). The coefficient of determination (R2) is 0.888, the RMSE is 1.164 gC· m-2· day-1, and the Mean Absolute Error (MAE) is 0.773 gC· m-2· day-1; (3) The multi-year GPP changes in Fujian Province simulated by the CatBoost GPP estimation model are highly consistent with the GOSIF GPP estimation results, indicating a more accurate GPP spatial distribution in Fujian Province. It is found that the mean GPP of Fujian Province from 2002 to 2020 was 1 697 gC · m- 2 · a- 1. The overall spatial distribution is characterized by "decreasing from southeast to northwest", and the multi-year GPP variation shows a trend of "non-significant fluctuation increase". This study provides a new method and useful data for regional GPP estimation and ecological environment management. © 2023 Journal of Geo-Information Science. All rights reserved.
Keyword ：
CatBoost CatBoost Gross Primary Production Gross Primary Production Random Forest Random Forest Support Vector Machine Support Vector Machine topographic features topographic features
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| GB/T 7714 | Li, Y. , Jiang, H. , Liu, X. . Simulation of Vegetation Gross Primary Productivity and Its Application in Fujian Province of China Using Remote Sensing and CatBoost Algorithm; [基于 CatBoost 的植被总初级生产力遥感模拟方法及在福建省的应用] [J]. | Journal of Geo-Information Science , 2023 , 25 (9) : 1908-1922 . |
| MLA | Li, Y. et al. "Simulation of Vegetation Gross Primary Productivity and Its Application in Fujian Province of China Using Remote Sensing and CatBoost Algorithm; [基于 CatBoost 的植被总初级生产力遥感模拟方法及在福建省的应用]" . | Journal of Geo-Information Science 25 . 9 (2023) : 1908-1922 . |
| APA | Li, Y. , Jiang, H. , Liu, X. . Simulation of Vegetation Gross Primary Productivity and Its Application in Fujian Province of China Using Remote Sensing and CatBoost Algorithm; [基于 CatBoost 的植被总初级生产力遥感模拟方法及在福建省的应用] . | Journal of Geo-Information Science , 2023 , 25 (9) , 1908-1922 . |
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为了提高山区复杂地形条件下的森林分类精度，以武夷山国家公园为研究区开展山区森林分类研究.以Sentinel-2遥感影像作为数据源，采用多尺度分割方法进行影像分割，并通过ESP2算法选取影像的最优分割尺度.首先构造了Sentinel-2光学影像的初始27维光谱特征，通过计算随机森林Gini指标对分类特征变量进行优化，最终确定17维最优特征变量，然后将提取的研究区地形特征与最优特征变量相结合，应用随机森林算法进行森林分类.结果表明：在27维光谱特征中选取重要性排名前17的特征参与分类时，精度最高值为0.911 0，其中，Sentinel-2影像的红、红边和近红外波段及其相应的光谱指数在森林分类中有较高重要性；在不同的特征参与分类时，在参考光谱特征中依次加入红边指数和地形因子，分类的总体精度分别为88.13%、89.50%、90.87%,Kappa系数分别为0.854 6、0.871 0、0.887 8.研究证明将Sentinel-2丰富的光谱特征与地形因子相结合，可有效获取各森林地物类型在不同地形特征下的不同光谱特征，此方法在森林地物信息提取中具有较高的应用价值，为今后地形复杂的山区森林进行快速、准确的分类提供技术方法参考.
Keyword ：
Sentinel-2 Sentinel-2 山区地形 山区地形 森林分类 森林分类 红边指数 红边指数 面向对象 面向对象
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| GB/T 7714 | 张春莹 , 江洪 , 林敬兰 et al. 基于Sentinel-2光谱与地形特征的山区森林分类——以武夷山国家公园为例 [J]. | 海南大学学报(自然科学版) , 2023 , 41 (02) : 160-171 . |
| MLA | 张春莹 et al. "基于Sentinel-2光谱与地形特征的山区森林分类——以武夷山国家公园为例" . | 海南大学学报(自然科学版) 41 . 02 (2023) : 160-171 . |
| APA | 张春莹 , 江洪 , 林敬兰 , 岳辉 . 基于Sentinel-2光谱与地形特征的山区森林分类——以武夷山国家公园为例 . | 海南大学学报(自然科学版) , 2023 , 41 (02) , 160-171 . |
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