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学者姓名：汪小钦
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Abstract ：
The construction of China's ecological civilization, known as 'Beautiful China', necessitates implementing precision watershed management through scientifically informed decision-making. This entails optimizing the spatial distribution of watershed best management practices (the so- called BMP scenario) and proposing multistage implementation plans, or roadmaps that align with practical requirements based on the overarching vision of comprehensive water shed management.The'water shed system simulation-scenariooptimization' method frame work (the simulation-and-optimization-based frame work for short) has demonstrated considerable potential in recent years. To address challenges arising from practical applications of this framework, this study systematically conducted the methodological research: (1) proposing a novel watershed process modeling framework that strikes a balance between modeling flexibility and high-performance computing to model and simulate watershed systems efficiently; (2) introducing slope position units as BMP configuration units and enabling dynamic boundary adjustments during scenario optimization, effectively incorporating practical knowledge of watershed management to ensure reasonable outcomes; (3) presenting an optimization method for determining the implementation orders of BMPs that considers stepwise investment constraints, thereby recommending feasible roadmaps that meet practical needs; and (4) designing a user-friendly participatory watershed planning system to facilitate collaborative decision-making among stakeholders. The effectiveness and practical value of these new methods, tools, and prototype systems are validated through application cases in a representative small watershed. This research contributes to advancing precision watershed management and provides valuable insights for sustainable ecological conservation. The methods proposed within the simulation-and-optimization-based framework in this study are universal methods, which means their application does not depend on the specific implementation, such as the watershed process model, the BMP types considered, the designed BMP configuration strategy, and so on. Further studies should be conducted not only to deepen related theory and method research but also to strengthen promotion and application, especially cooperating with local watershed management agents to provide valuable insights for their sustainable ecological conservation. © 2024 Science Press. All rights reserved.
Keyword ：
Computation theory Computation theory Decision making Decision making Decision support systems Decision support systems Ecology Ecology Investments Investments Soil conservation Soil conservation Water conservation Water conservation Water management Water management Watersheds Watersheds
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| GB/T 7714 | Qin, Chengzhi , Zhu, Liangjun , Shen, Shen et al. Methods for supporting decision-making of precision watershed management based on watershed system simulation and scenario optimization [J]. | Acta Geographica Sinica , 2024 , 79 (1) : 58-75 . |
| MLA | Qin, Chengzhi et al. "Methods for supporting decision-making of precision watershed management based on watershed system simulation and scenario optimization" . | Acta Geographica Sinica 79 . 1 (2024) : 58-75 . |
| APA | Qin, Chengzhi , Zhu, Liangjun , Shen, Shen , Wu, Tong , Xiao, Guirong , Wu, Sheng et al. Methods for supporting decision-making of precision watershed management based on watershed system simulation and scenario optimization . | Acta Geographica Sinica , 2024 , 79 (1) , 58-75 . |
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建筑物变化检测在城市环境监测、土地规划管理和违章违规建筑识别等应用中具有重要作用。针对传统孪生神经网络在影像变化检测中存在的检测边界与实际边界吻合度低的问题，本文结合面向对象图像分析技术，提出一种基于面向对象孪生神经网络（Obj-SiamNet）的高分辨率遥感影像变化检测方法，利用模糊集理论自动融合多尺度变化检测结果，并通过生成对抗网络实现训练样本迁移。该方法应用在高分二号和高分七号高分辨率卫星影像中，并与基于时空自注意力的变化检测模型（STANet）、视觉变化检测网络（ChangeNet）和孪生UNet神经网络模型（Siam-NestedUNet）进行比较。结果表明：（1）融合面向对象多尺度分割的检测结果较单一尺度分割的检测结果，召回率最高提升32%,F1指数最高提升25%，全局总体误差（GTC）最高降低7%;(2)在样本数量有限的情况下，通过生成对抗网络进行样本迁移，与未使用样本迁移前的检测结果相比，召回率最高提升16%,F1指数最高提升14%,GTC降低了9%;(3) Obj-SiamNet方法较其他变化检测方法，整体检测精度得到提升，F1指数最高提升23%,GTC最高降低9%。该方法有效提高了建筑物变化检测在几何和属性方面的精度，并能有效利用开放地理数据集，降低了模型训练样本制作成本，提升了检测效率和适用性。
Keyword ：
孪生神经网络 孪生神经网络 模糊集融合 模糊集融合 生成对抗网络 生成对抗网络 遥感变化检测 遥感变化检测 面向对象多尺度分析 面向对象多尺度分析 高分辨率遥感影像 高分辨率遥感影像
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| GB/T 7714 | 刘宣广 , 李蒙蒙 , 汪小钦 et al. 基于面向对象孪生神经网络的高分辨率遥感影像建筑物变化检测 [J]. | 遥感学报 , 2024 , 28 (02) : 437-454 . |
| MLA | 刘宣广 et al. "基于面向对象孪生神经网络的高分辨率遥感影像建筑物变化检测" . | 遥感学报 28 . 02 (2024) : 437-454 . |
| APA | 刘宣广 , 李蒙蒙 , 汪小钦 , 张振超 . 基于面向对象孪生神经网络的高分辨率遥感影像建筑物变化检测 . | 遥感学报 , 2024 , 28 (02) , 437-454 . |
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The evaluation of regional ecological status has far-reaching significance for understanding regional ecological conditions and promoting sustainable development. Herein, a geospatial ecological index (GEI) was developed on the basis of Landsat data and the principles of soil lines and spatial geometry. Specifically, the GEI integrates four remote sensing indicators: Perpendicular Vegetation Index (PVI) representing greenness, Modified Perpendicular Drought Index (MPDI) representing drought, Normalized Difference Built-up and Soil Index (NDSI) representing the dryness of land surface, and Land Surface Temperature (LST) representing the hotness of land surface. Two typical regions, Fuzhou City and Zijin mining area, in Fujian Province, China, were selected to evaluate regional ecological quality via the proposed GEI. The results show an improvement in the overall ecological quality of Fuzhou City, with an increase in the average GEI value from 0.49 in 2001 to 0.53 in 2020. In the case of the Zijin mining area, regions with poor ecological status are concentrated in the main mining areas. However, the average GEI value rose from 0.51 in 1992 to 0.57 in 2020, illustrating an improvement in its ecological conditions. The study demonstrates the robustness and effectiveness of GEI, objectively revealing the spatial distribution and ecological status.
Keyword ：
ecological evaluation ecological evaluation fujian fujian GEI (Geospatial Ecological Index) GEI (Geospatial Ecological Index) geometric space geometric space soil line soil line
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| GB/T 7714 | Lin, Mengjing , Zhao, Yang , Shi, Longyu et al. A novel ecological evaluation index based on geospatial principles and remote sensing techniques [J]. | INTERNATIONAL JOURNAL OF SUSTAINABLE DEVELOPMENT AND WORLD ECOLOGY , 2024 , 31 (7) : 809-826 . |
| MLA | Lin, Mengjing et al. "A novel ecological evaluation index based on geospatial principles and remote sensing techniques" . | INTERNATIONAL JOURNAL OF SUSTAINABLE DEVELOPMENT AND WORLD ECOLOGY 31 . 7 (2024) : 809-826 . |
| APA | Lin, Mengjing , Zhao, Yang , Shi, Longyu , Wang, Xiaoqin . A novel ecological evaluation index based on geospatial principles and remote sensing techniques . | INTERNATIONAL JOURNAL OF SUSTAINABLE DEVELOPMENT AND WORLD ECOLOGY , 2024 , 31 (7) , 809-826 . |
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Building change detection is essential to many applications, such as monitoring of urban areas, land use management, and illegal building detection. It has been seen as an effective means to detect building changes from remote-sensing images. This paper proposes an object-based Siamese neural network, labeled as Obj-SiamNet, to detect building changes from high-resolution remote-sensing images. We combine the advantages of object-based image analysis methods and Siamese neural networks to improve the geometric accuracies of detected boundaries. Moreover, we implement the Obj-SiamNet at multiple segmentation levels and automatically construct a set of fuzzy measures to fuse the obtained results at multi-levels. Furthermore, we use generative adversarial methods to generate target-like training samples from publicly available datasets and construct a relatively sufficient training dataset for the Obj-SiamNet model. Finally, we apply the proposed method into three high-resolution remote-sensing datasets, i.e., a GF-2 image-pair in Fuzhou City, and a GF2 image pair in Pucheng County, and a GF-2—GF-7 image pair in Quanzhou City. We also compare the proposed method with three other existing ones, namely, STANet, ChangeNet, and Siam-NestedUNet. Experimental results show that the proposed method performs better than the other three in terms of detection accuracy. (1) Compared with the detection results from single-scale segmentation, the detection results from multi-scale increases the recall rate by up to 32%, the F1-Score increases by up to 25%, and the Global Total Classification error (GTC) decreases by up to 7%. (2) When the number of available samples is limited, the adopted Generative Adversarial Network (GAN) is able to generate effective target-like samples for diverting samples. Compared with the detection without using GAN-generated samples, the proposed detection increases the recall rate by up to 16%, increases the F1-Score by up to 14%, and decreases GTC by 9%. (3) Compared with other change-detection methods, the proposed method improves the detection accuracies significantly, i.e., the F1-Score increases by up to 23%, and GTC decreases by up to 9%. Moreover, the boundaries of the detected changes by the proposed method have a high consistency with that of ground truth. We conclude that the proposed Obj-SiamNet method has a high potential for building change detection from high-resolution remote-sensing images. © 2024 Science Press. All rights reserved.
Keyword ：
Change detection Change detection Fuzzy sets Fuzzy sets Generative adversarial networks Generative adversarial networks Image enhancement Image enhancement Land use Land use Object detection Object detection Remote sensing Remote sensing
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| GB/T 7714 | Liu, Xuanguang , Li, Mengmeng , Wang, Xiaoqin et al. Use of object-based Siamese neural network to build change detection from very high resolution remote-sensing images [J]. | National Remote Sensing Bulletin , 2024 , 28 (2) : 437-454 . |
| MLA | Liu, Xuanguang et al. "Use of object-based Siamese neural network to build change detection from very high resolution remote-sensing images" . | National Remote Sensing Bulletin 28 . 2 (2024) : 437-454 . |
| APA | Liu, Xuanguang , Li, Mengmeng , Wang, Xiaoqin , Zhang, Zhenchao . Use of object-based Siamese neural network to build change detection from very high resolution remote-sensing images . | National Remote Sensing Bulletin , 2024 , 28 (2) , 437-454 . |
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面向美丽中国生态文明建设所需，亟待有效实现流域精细治理的科学决策，以根据流域综合治理愿景目标，优化流域管理措施（BMP）的空间布局方案（即BMP情景）、制定符合实际需求的实施路线图。对此，“流域系统模拟—情景优化”方法框架近年展现出广阔应用前景。本文介绍了该框架在应对实际应用需求中尚存的一系列问题，开展了体系性的方法研究：(1)提出新的流域过程建模框架，以兼顾建模灵活性和高性能计算、高效实现流域系统模拟；(2)提出以坡位单元作为BMP空间配置单元、并在情景优化过程中可进行单元边界动态调整的BMP情景优化方法，可有效考虑流域综合治理的经验知识，保障优化结果合理性；(3)提出考虑分阶段投资约束的BMP情景实施次序优化方法，可推荐出符合实际落地需求的实施路线图；(4)设计研发用户友好的参与式流域规划系统，供各方利益相关者协商决策。通过典型小流域应用案例验证了上述新方法、工具和原型系统的有效性和实用价值。
Keyword ：
决策支持 决策支持 情景分析 情景分析 智能优化 智能优化 流域管理措施 流域管理措施 流域系统模拟 流域系统模拟
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| GB/T 7714 | 秦承志 , 朱良君 , 申申 et al. 基于流域系统模拟一情景优化的精细治理决策支持方法 [J]. | 地理学报 , 2024 , 79 (01) : 58-75 . |
| MLA | 秦承志 et al. "基于流域系统模拟一情景优化的精细治理决策支持方法" . | 地理学报 79 . 01 (2024) : 58-75 . |
| APA | 秦承志 , 朱良君 , 申申 , 吴彤 , 肖桂荣 , 吴升 et al. 基于流域系统模拟一情景优化的精细治理决策支持方法 . | 地理学报 , 2024 , 79 (01) , 58-75 . |
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Soil erosion constitutes a critical environmental issue with far-reaching ramifications. Vegetation cover has been identified as a key factor in mitigating soil erosion. This study utilized remote sensing data and cloud computing resources provided by Google Earth Engine (GEE) to compute the land cover classification and Fractional Vegetation Cover (FVC) of the Minjiang River Basin in 2020. Subsequent to the utilization of the CSLE model incorporating precipitation data, Digital Elevation Model (DEM) data, and other relevant data, an assessment of soil erosion in the Minjiang River basin during 2020 was conducted. Furthermore, the correlation between FVC and soil erosion modulus was quantitatively examined. Our findings demonstrate that the predominant land cover type in the Minjiang River basin is forest and grassland, followed by arable land, with water having the smallest coverage. Over 65%of the study are a exhibits a FVC exceeding 0.8, indicative of a generally high level of vegetation coverage. The soil erosion modulus exhibited a marked decline with increasing FVC within the FVC intervals of 0-0.15 and 0.45-0.8. While the change of soil erosion modulus with FVC under other ranges was relatively flat. As such, erosion control measures may be more effective when implemented in the FVC ranges of 0-0.15 and 0.45-0.80. These findings provide decision-making references for governmental departments to formulate targeted soil and water conservation measures. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.
Keyword ：
Decision making Decision making Erosion Erosion Forestry Forestry Remote sensing Remote sensing Rivers Rivers Soil conservation Soil conservation Soils Soils Surveying Surveying Vegetation Vegetation Water conservation Water conservation Watersheds Watersheds
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| GB/T 7714 | Chen, Miao , Wang, Xiaoqin . Analyzing the relationship between vegetation cover and soil erosion in the Minjiang river basin using remote sensing technology [C] . 2024 . |
| MLA | Chen, Miao et al. "Analyzing the relationship between vegetation cover and soil erosion in the Minjiang river basin using remote sensing technology" . (2024) . |
| APA | Chen, Miao , Wang, Xiaoqin . Analyzing the relationship between vegetation cover and soil erosion in the Minjiang river basin using remote sensing technology . (2024) . |
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遥感技术已成为快速有效获取农业大棚覆盖信息的重要途径，但遥感影像空间分辨率大小对提取精度的影响具有双重性，选择适宜分辨率影像具有重要意义。以南方农业塑料大棚为研究对象，利用GF-1、GF-2和Sentinel-2形成1～16 m间6个不同空间分辨率影像数据集，基于面向对象影像分析方法（Object-Based Image Analysis,OBIA），分别利用面向对象卷积神经网络（Convolutional Neural Network,CNN）方法和随机森林（Random forest,RF）方法开展大棚提取，分析提取精度和不同方法下的差异性。结果表明：(1)CNN和RF方法下，农业大棚的提取精度随着影像分辨率降低总体呈下降趋势，在1～16 m的影像上均能检测到农业大棚；(2)相对于RF方法，CNN方法对影像空间分辨率要求更高，在1～2 m分辨率下，CNN方法有更少的漏提和误提，但在4m及更低分辨率下，RF方法的适用性更高；(3)2 m分辨率影像是大棚信息提取的最佳空间分辨率，可经济有效地实现大棚监测。
Keyword ：
农业大棚提取 农业大棚提取 空间分辨率 空间分辨率 随机森林 随机森林 面向对象CNN方法 面向对象CNN方法 高分辨率遥感数据 高分辨率遥感数据
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| GB/T 7714 | 林欣怡 , 汪小钦 , 汤紫霞 et al. 基于面向对象CNN和RF的不同空间分辨率遥感影像农业大棚提取研究 [J]. | 遥感技术与应用 , 2024 , 39 (02) : 315-327 . |
| MLA | 林欣怡 et al. "基于面向对象CNN和RF的不同空间分辨率遥感影像农业大棚提取研究" . | 遥感技术与应用 39 . 02 (2024) : 315-327 . |
| APA | 林欣怡 , 汪小钦 , 汤紫霞 , 李蒙蒙 , 吴瑞姣 , 黄德华 . 基于面向对象CNN和RF的不同空间分辨率遥感影像农业大棚提取研究 . | 遥感技术与应用 , 2024 , 39 (02) , 315-327 . |
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[目的]模拟未来土地利用和气候影响下的流域水沙变化有利于制定适合的流域管理计划。[方法]基于土地利用和气象数据，结合CMIP6气候模式数据、PLUS模型和SWAT模型，定量模拟2030年土地利用及不同气候情景下径流和泥沙的时空变化。[结果](1)SWAT模型在闽江流域月尺度模拟精度较好，其中径流模拟的R~2范围为0.80～0.95,NSE范围为0.75～0.91;泥沙模拟的R~2范围为0.75～0.98,NSE范围为0.64～0.94。(2)利用2020年土地利用数据对PLUS模型进行精度评估的Kappa系数为0.77,模拟2030年闽江流域建设用地和耕地将分别增加325.64,1 157.51 km~2。(3)SSP2-4.5和SSP5-8.5情景下，2025—2035年平均降水量分别增加0.15%和2.18%,年平均气温分别增加0.23,0.62℃。(4)低碳情景和高碳情景下，仅土地利用变化导致年平均径流量相较于基准期分别增加0.08%和0.07%,年平均输沙量分别增加0.24%和减少0.05%;仅气候变化导致年平均径流量相较基准期分别减少4.76%和4.11%,年平均输沙量分别增加18.12%和0.13%;土地利用和气候综合影响导致年平均径流量相较于基准期分别减少4.57%和3.93%,年平均输沙量分别增加18.28%和0.33%。(5)未来气候和土地利用综合变化情景下，地表径流和产沙量较高且增幅较大的区域集中在以南平邵武市为中心的流域西北部和以三明将乐县为中心的流域西南部。[结论]研究结果为未来闽江流域的合理开发建设提供一定参考依据。
Keyword ：
土地利用变化 土地利用变化 径流 径流 模拟 模拟 气候情景 气候情景 输沙量 输沙量 闽江流域 闽江流域
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| GB/T 7714 | 余文广 , 陈芸芝 , 唐丽芳 et al. 气候和土地利用变化情景下闽江流域水沙变化模拟 [J]. | 水土保持学报 , 2024 , 38 (02) : 216-233,245 . |
| MLA | 余文广 et al. "气候和土地利用变化情景下闽江流域水沙变化模拟" . | 水土保持学报 38 . 02 (2024) : 216-233,245 . |
| APA | 余文广 , 陈芸芝 , 唐丽芳 , 汪小钦 . 气候和土地利用变化情景下闽江流域水沙变化模拟 . | 水土保持学报 , 2024 , 38 (02) , 216-233,245 . |
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A healthy ecological environment forms a crucial foundation for the sustainable development of both nations and humanity. In the domain of ecological environment assessment, the comprehensive indicator system model represents the mainstream evaluation approach, both domestically and internationally. The extensive application of big geodata within this context offers significant potential for addressing ecological problems characterized by vast scales, intricate processes, and a variety of influencing factors. However, as the acquisition of big geodata becomes increasingly accessible, the coverage of the index system has significantly expanded, raising the pivotal issue of objectively and scientifically selecting crucial indicators capable of representing the distinctive characteristics of the study area. This challenge is particularly critical in today's ecological health assessment. The Pressure-State-Response (PSR) model offers a causal perspective, comprehensively considering the systemic relationships between the ecological environment and human socioeconomic activities. The Ecological Hierarchy Network (EHN) model is capable of reflecting the overlap and interconnections between upper and lower-layer indicators. In this study, by integrating the frameworks of PSR and EHN and taking into account the potential information overlap from multiple available parameters, we established a five-layer networked indicator system consisting of the Target Layer, Criteria Layer, Element Layer, Indicator Layer, and Homogeneous Indicator Layer. We also proposed a two-stage adaptive indicator reduction model that combines Homogeneous Indicator Layer reduction using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Indicator Layer reduction based on target optimization theory. Combining both approaches, we developed an adaptive indicator reduction model tailored for ecological environmental health assessment. Leveraging big geodata comprising remote sensing thematic products, topography, meteorology, soil, and population information, we applied the proposed model to assess the ecological health of seven ecologically diverse regions in China, including Yunnan, Fujian, Beijing-Tianjin-Hebei, Shaanxi, Hubei, Xinjiang, and Jilin during the period 2001-2021. The results show that: (1) The selected indicators obtained through the two-stage indicator adaptive reduction model effectively reflected the distinct characteristics of ecosystems in different regions. Furthermore, indicators with higher weights among the selected ones have been widely employed in constructing indicator systems across various regions. These findings highlighted the universality and rationality of both the constructed indicator system and the two-stage indicator adaptive reduction model, effectively mitigating the subjectivity associated with manual indicator system construction; (2) The spatial distribution and temporal trends of the ecological environment health of the seven regions aligned with real-world conditions and were corroborated by existing literature and data, which indicated the effectiveness of the model proposed in this study. The proposed models presented in this paper can serve as a reference for constructing indicator systems and selecting indicators in other domains and provide methodological support for ecological environment health assessment across diverse regions on a large scale. © 2024 Science Press. All rights reserved.
Keyword ：
Ecosystems Ecosystems Geographic information systems Geographic information systems Optimization Optimization Remote sensing Remote sensing Site selection Site selection Sustainable development Sustainable development Topography Topography
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| GB/T 7714 | Chen, Jianhui , Wang, Xiaoqin , Kong, Lingfeng . Construction of Adaptive Indicator Reduction Model for Ecological Environment Health Assessment [J]. | Journal of Geo-Information Science , 2024 , 26 (5) : 1193-1211 . |
| MLA | Chen, Jianhui et al. "Construction of Adaptive Indicator Reduction Model for Ecological Environment Health Assessment" . | Journal of Geo-Information Science 26 . 5 (2024) : 1193-1211 . |
| APA | Chen, Jianhui , Wang, Xiaoqin , Kong, Lingfeng . Construction of Adaptive Indicator Reduction Model for Ecological Environment Health Assessment . | Journal of Geo-Information Science , 2024 , 26 (5) , 1193-1211 . |
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生态环境健康评价对于促进生态保护、引导区域经济发展战略、调整和衡量生态文明建设结果具有重要意义。综合指标体系模型是现今国内外主流的评价方法，然而，如何构建不同地区通用、普适性强的指标体系，如何从众多繁杂的指标通过客观、科学的方法自动筛选出能表征研究区特点的重要指标是目前所面临的难点。本文集成压力-状态-响应模型（PressureState-Response,PSR）和生态层次网络模型（Ecological Hierarchy Network,EHN），并考虑部分指标所存在的信息重叠，建立了目标层-准则层-要素层-指标层-同类指标层的5层网状指标体系，提出了基于优劣解距离法（Technique for Order Preference by Similarity to Ideal Solution,TOPSIS）的同类指标层约简和基于目标优化理论的指标层约简相结合的两段式自适应指标约简模式。结合两者完成面向生态环境健康评价的自适应指标约简模型的构建，并在地理大数据的支持下，应用于云南、福建、京津冀、陕西、湖北、新疆和吉林7个生态环境迥异区域的2001—2021年生态环境健康评价。研究结果表明：(1)利用两段式自适应指标约简模型所筛选出的中选指标可以较好地体现不同地区生态系统特点，中选指标中权重靠前的指标被较多文献应用于各地区指标体系构建，说明所构建的指标体系和两段式自适应指标约简模型具有较好的普适性和合理性，有效避免了人为指标体系构建的主观性；(2) 7个地区生态环境健康状况的空间分布和时间变化趋势符合实际情况，并且能与现有的文献、资料进行互相印证，从侧面证实了本文所提出模型的有效性。本文所提出的模型可为其他领域指标体系构建和筛选提供参考，也为大范围不同区域的生态环境健康评价提供方法支撑。
Keyword ：
CRITIC法 CRITIC法 优劣解距离法 优劣解距离法 压力-状态-响应模型 压力-状态-响应模型 指标约简 指标约简 最大化偏差模型 最大化偏差模型 熵权法 熵权法 生态层次网络模型 生态层次网络模型 目标优化模型 目标优化模型 网状指标体系 网状指标体系
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| GB/T 7714 | 陈建辉 , 汪小钦 , 孔令凤 . 面向生态环境健康评价的自适应指标约简模型构建 [J]. | 地球信息科学学报 , 2024 , 26 (05) : 1193-1211 . |
| MLA | 陈建辉 et al. "面向生态环境健康评价的自适应指标约简模型构建" . | 地球信息科学学报 26 . 05 (2024) : 1193-1211 . |
| APA | 陈建辉 , 汪小钦 , 孔令凤 . 面向生态环境健康评价的自适应指标约简模型构建 . | 地球信息科学学报 , 2024 , 26 (05) , 1193-1211 . |
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