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A new transferable deep learning approach for crop mapping 用于作物制图的新型可迁移深度学习方法
IF 6.7 2区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-08-27 DOI: 10.1080/15481603.2024.2395700
Hongyan Che, Yaozhong Pan, Xingsheng Xia, Xiufang Zhu, Le Li, Yongsheng Huang, Xuechang Zheng, Lingang Wang
Accurate crop mapping provides important information for government decision-making and agricultural management. Recent advancements in deep learning have significantly enhanced the capabilities of...
精确的作物测绘为政府决策和农业管理提供了重要信息。最近在深度学习方面取得的进展大大增强了...
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引用次数: 0
Deep learning-based mapping of total suspended solids in rivers across South Korea using high resolution satellite imagery 利用高分辨率卫星图像绘制基于深度学习的韩国河流总悬浮固体地图
IF 6.7 2区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-08-26 DOI: 10.1080/15481603.2024.2393489
JunGi Moon, SungMin Suh, SangJin Jung, Sang-Soo Baek, JongCheol Pyo
Managing total suspended solids (TSS) in inland water is crucial for maintaining water quality and aquatic ecosystems. To obtain spatial data, the conventional method of point sampling TSS is a tim...
管理内陆水体中的总悬浮固体 (TSS) 对保持水质和水生生态系统至关重要。为了获得空间数据,传统的 TSS 点采样方法是一种定时、定点、定量的方法。
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引用次数: 0
Improving assessment of population exposure and health impacts to PM2.5 with high spatial and temporal data 利用高时空数据改进对 PM2.5 的人口暴露和健康影响的评估
IF 6.7 2区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-08-09 DOI: 10.1080/15481603.2024.2388921
Xia Zhao, Yuyu Zhou, Xi Li, Tao Zhang, Yueying Wang, Zhengyuan Zhu, Kai Zhang, Deren Li
Exposure to ambient fine particulate matter (PM2.5) poses a significant global health challenge. However, a major obstacle for epidemiological studies and risk assessment lies in the absence of hig...
暴露于环境细颗粒物(PM2.5)对全球健康构成了重大挑战。然而,流行病学研究和风险评估的一个主要障碍在于缺乏高...
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引用次数: 0
Spatiotemporal analysis of tropical vegetation ecosystems and their responses to multifaceted droughts in Mainland Southeast Asia using satellite-based time series 利用卫星时间序列对东南亚大陆热带植被生态系统及其对多方面干旱的响应进行时空分析
IF 6.7 2区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-08-05 DOI: 10.1080/15481603.2024.2387385
Tuyen V. Ha, Soner Uereyen, Claudia Kuenzer
Drought ranks among the costliest of all climate-related phenomena and manifests in various forms, posing significant challenges in understanding its influence on agriculture and natural ecosystems...
干旱是所有气候相关现象中代价最高的现象之一,其表现形式多种多样,给了解干旱对农业和自然生态系统的影响带来了巨大挑战...
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引用次数: 0
Solution for crop classification in regions with limited labeled samples: deep learning and transfer learning 标记样本有限地区的作物分类解决方案:深度学习和迁移学习
IF 6.7 2区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-08-05 DOI: 10.1080/15481603.2024.2387393
Hengbin Wang, Yu Yao, Zijing Ye, Wanqiu Chang, Junyi Liu, Yuanyuan Zhao, Shaoming Li, Zhe Liu, Xiaodong Zhang
Reliable classification results are crucial for guiding agricultural production, forecasting crop yield, and ensuring food security. Generating reliable classification results is relatively simple ...
可靠的分类结果对于指导农业生产、预测作物产量和确保粮食安全至关重要。生成可靠的分类结果相对简单 ...
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引用次数: 0
Home sharing or crime sharing? Evidences of the relationship between Airbnb, crime and structural factors in Malaga, Spain 共享房屋还是共享犯罪?西班牙马拉加 Airbnb、犯罪和结构性因素之间关系的证据
IF 6.7 2区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-08-05 DOI: 10.1080/15481603.2024.2384330
Diego J. Maldonado-Guzmán, Francisco José Chamizo-Nieto, Sergio Reyes-Corredera
Negative externalities stemming from overtourism have been widely reported in the literature. However, a consequence less explored in scientific research is the increase in crime rates derived from...
文献中广泛报道了过度旅游产生的负面外部效应。然而,科学研究中较少探讨的一个后果是,过度旅游导致犯罪率上升。
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引用次数: 0
Machine learning-based retrieval of total column water vapor over land using GMI-sensed passive microwave measurements 利用全球海洋观测系统传感的被动微波测量数据,基于机器学习的陆地总水汽柱检索
IF 6.7 2区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-08-05 DOI: 10.1080/15481603.2024.2385180
Jiafei Xu, Zhizhao Liu
The Global Precipitation Measurement (GPM) Microwave Imager (GMI) is a microwave (MW) radiometer that has near-global coverage and frequent revisit time. To date, operational total column water vap...
全球降水测量(GPM)微波成像仪(GMI)是一种微波(MW)辐射计,其覆盖范围接近全球,重访时间频繁。迄今为止,全球降水测量微波成像仪的运行总水柱水蒸气...
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引用次数: 0
Cross attention is all you need: relational remote sensing change detection with transformer 交叉关注即可:利用变压器进行关系遥感变化检测
IF 6.7 2区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-07-21 DOI: 10.1080/15481603.2024.2380126
Kaixuan Lu, Xiao Huang, Ruiheng Xia, Pan Zhang, Junping Shen
Deep-learning-based change detection methods have received wide attention, thanks to their strong capability in obtaining rich features from images. However, existing AI-based change detection (CD)...
基于深度学习的变化检测方法能从图像中获取丰富的特征,因此受到广泛关注。然而,现有的基于人工智能的变化检测(CD)...
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引用次数: 0
Vegetation canopy height shapes bats’ occupancy: a remote sensing approach 植被冠层高度影响蝙蝠的栖息:一种遥感方法
IF 6.7 2区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-07-17 DOI: 10.1080/15481603.2024.2374150
F. C. Martins, S. Godinho, N. Guiomar, D. Medinas, H. Rebelo, P. Segurado, J. T. Marques
Anthropogenic activities have significantly altered land cover on a global scale. These changes often have a negative effect on biodiversity limiting the distribution of species. The extent of the ...
人类活动极大地改变了全球范围内的土地覆盖。这些变化往往对生物多样性产生负面影响,限制了物种的分布。人类活动的范围...
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引用次数: 0
Ensemble learning-based crop yield estimation: a scalable approach for supporting agricultural statistics 基于集合学习的作物产量估算:支持农业统计的可扩展方法
IF 6.7 2区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-06-28 DOI: 10.1080/15481603.2024.2367808
Patric Brandt, Florian Beyer, Peter Borrmann, Markus Möller, Heike Gerighausen
Detailed and accurate statistics on crop productivity are key to inform decision-making related to sustainable food production and supply ensuring global food security. However, annual and high-res...
有关作物生产力的详细而准确的统计数据是为确保全球粮食安全的可持续粮食生产和供应决策提供信息的关键。然而,年度和高分辨率...
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引用次数: 0
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