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Optimizing Sentinel-2 feature space for improved crop biophysical and biochemical variables retrieval using the novel spectral triad feature selection algorithm 利用新型光谱三要素特征选择算法优化哨兵-2 号特征空间以改进作物生物物理和生物化学变量检索
IF 3.8 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-02-13 DOI: 10.1080/10106049.2024.2309174
Mahlatse Kganyago, Clement Adjorlolo, Paidamwoyo Mhangara
This study presents a novel Spectral Triad feature selection (STfs) technique based on music theory and compares it to the entire Sentinel-2 feature space and Random Forest-Recursive Feature Elimin...
本研究提出了一种基于音乐理论的新型光谱三元组特征选择(STfs)技术,并将其与整个哨兵-2(Sentinel-2)特征空间和随机森林-递归特征选择(Random Forest-Recursive Feature Elimin)进行了比较。
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引用次数: 0
Assessment of groundwater potential zones in data-scarce regions using GIS-based multicriteria decision making approach 利用基于地理信息系统的多标准决策方法评估数据稀缺地区的地下水潜力区
IF 3.8 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-02-12 DOI: 10.1080/10106049.2024.2311202
Kishor Dandapat, Uday Chatterjee, Sandipan Das, Arpita Patra, Harekrishna Manna, Anitabha Ghosh, Subodh Chandra Pal, Abu Reza Md. Towfiqul Islam, Romulus Costache, Edris Alam, Md Kamrul Islam
Groundwater is an essential natural resource that sustains numerous ecological systems and human lifestyles. The Jhargram district is facing persistent groundwater development issues, requiring com...
地下水是维持众多生态系统和人类生活方式的重要自然资源。Jhargram 地区面临着长期的地下水开发问题,需要...
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引用次数: 0
Quantification of surface water extent and volume in the Inner Niger Delta (IND) over 2000–2022 using multispectral imagery and radar altimetry 利用多光谱图像和雷达测高法量化 2000-2022 年内尼日尔河三角洲 (IND) 的地表水范围和水量
IF 3.8 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-02-12 DOI: 10.1080/10106049.2024.2311203
Cassandra Normandin, Frédéric Frappart, Luc Bourrel, Adama Telly Diepkilé, Eric Mougin, Leo Zwarts, Fabien Blarel, Flavien Egon, Jean-Pierre Wigneron
Spatio-temporal dynamics of surface water reservoirs at regional and global scales remain poorly understood. Using satellite remote sensing provides a unique opportunity to address this problem. Th...
人们对区域和全球范围内地表水库的时空动态仍然知之甚少。利用卫星遥感技术为解决这一问题提供了独特的机会。这...
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引用次数: 0
Soil erosion and sediment yield estimation in a tropical monsoon dominated river basin using GIS-based models 利用基于地理信息系统的模型估算热带季风主导流域的土壤侵蚀和泥沙产量
IF 3.8 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-02-08 DOI: 10.1080/10106049.2024.2309181
Biplab Sarkar, Abdur Rahman, Aznarul Islam, Atiqur Rahman, Sk. Mafizul Haque, Swapan Talukdar, Abu Reza Md Towfiqul Islam, Subodh Chandra Pal, Chaitanya B. Pande, Edris Alam, Alireza Arabameri
The increasing soil erosion (SE) and the associated problems for society, economy, and environment sparked a lot of interest in estimating and mapping SE at different basin scales. The estimation o...
日益严重的水土流失(SE)以及与之相关的社会、经济和环境问题引发了人们对估算和绘制不同流域尺度的水土流失地图的浓厚兴趣。估算和绘制不同流域尺度的 SE
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引用次数: 0
Determining the optimal generalization operators for building footprints using an improved graph neural network model 利用改进的图神经网络模型确定建筑足迹的最佳泛化算子
IF 3.8 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-01-30 DOI: 10.1080/10106049.2024.2306265
Xinyu Niu, Haizhong Qian, Xiao Wang, Limin Xie, Longfei Cui
Determining the optimal generalization operators of city buildings is a crucial step during the building generalization process and an important aspect of realizing cross-scale updating of map data...
确定城市建筑物的最佳泛化算子是建筑物泛化过程中的关键步骤,也是实现地图数据跨尺度更新的重要方面...
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引用次数: 0
Estimation of active surface deformation using PSInSAR technique of the Central Himalayan region 利用 PSInSAR 技术估算喜马拉雅山中部地区的活动地表形变
IF 3.8 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-01-25 DOI: 10.1080/10106049.2024.2302415
Girish Ch. Kothyari, Rakesh K. Dumka, Khayingshing Luirei, Raj Sunil Kandregula, Ajay Kumar Taloor, Kapil Malik, Achla Joshi, Atul K. Patidar, Uday Bhan
The Kumaun Himalaya is considered as the most active part of the Central Seismic gap in the Indian Sub-continent. In this paper, we presented active surface deformation rates of the Kumaun region f...
库马恩喜马拉雅山被认为是印度次大陆中央地震带最活跃的部分。在本文中,我们介绍了库马恩地区的活跃地表变形率。
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引用次数: 0
Assessment of urban growth in relation to urban sprawl using landscape metrics and Shannon’s entropy model in Jalpaiguri urban agglomeration, West Bengal, India 利用印度西孟加拉邦贾尔帕伊古里城市群的景观指标和香农熵模型评估城市增长与城市无计划扩展的关系
IF 3.8 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-01-25 DOI: 10.1080/10106049.2024.2306258
Sanjoy Barman, Dipesh Roy, Bipul Chandra Sarkar, Hussein Almohamad, Hazem Ghassan Abdo
The rapid urban growth and anthropogenic activities have posed a threat to the local environment and ecosystem around the world. This situation has become a hindrance to planners and policy makers ...
城市的快速发展和人类活动对世界各地的当地环境和生态系统构成了威胁。这种情况已成为规划者和决策者的障碍 ...
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引用次数: 0
Urban land surface temperature forecasting: a data-driven approach using regression and neural network models 城市地表温度预报:利用回归和神经网络模型的数据驱动方法
IF 3.8 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-01-25 DOI: 10.1080/10106049.2023.2299145
Nimish Gupta, Bharath Haridas Aithal
The insinuations of the ailments associated with the unrestrained and disorganized proliferation of artificial impervious materials over natural surfaces are prevalent among city dwellers. These im...
城市居民普遍认为,人工不透水材料在自然地表上无节制、无组织地扩散会带来各种疾病。这些影...
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引用次数: 0
Quantifying influence of rainfall events on outdoor thermal comfort in subtropical dense urban areas 量化降雨事件对亚热带密集城区室外热舒适度的影响
IF 3.8 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-01-25 DOI: 10.1080/10106049.2024.2306276
Chih-Hong Huang, Ching-Hsun Wang, Shih-Han Chen
Existing research on outdoor thermal comfort in urban areas focuses on meteorological factors such as temperature, relative humidity, wind speed, and radiation on sunny or cloudy days. However, cli...
关于城市地区室外热舒适度的现有研究主要集中在晴天或阴天的温度、相对湿度、风速和辐射等气象因素上。然而,对气候因素的...
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引用次数: 0
Crop field extraction from high resolution remote sensing images based on semantic edges and spatial structure map 基于语义边缘和空间结构图的高分辨率遥感图像中的作物田提取
IF 3.8 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2024-01-24 DOI: 10.1080/10106049.2024.2302176
Liegang Xia, Ruiyan Liu, Yishao Su, Shulin Mi, Dezhi Yang, Jun Chen, Zhanfeng Shen
Crop field boundary extraction is crucial to remote sensing images attained to support agricultural production and planning. In recent years, deep convolutional neural networks (CNNs) have gained s...
作物田边界提取对遥感图像支持农业生产和规划至关重要。近年来,深度卷积神经网络(CNN)在农业领域得到了广泛应用。
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引用次数: 0
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