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Spatiotemporal analysis of Urban Heat Island and land use land cover changes using Landsat images and CA-ANN machine learning techniques: a case study of Dakahlia government, Egypt 基于Landsat图像和CA-ANN机器学习技术的城市热岛和土地利用土地覆盖变化的时空分析——以埃及达卡利亚政府为例
4区 地球科学 Q4 GEOGRAPHY, PHYSICAL Pub Date : 2023-09-19 DOI: 10.1080/14498596.2023.2257619
Sara Sameh, Fawzi H. Zarzoura, Mahmoud El-Mewafi
ABSTRACTThis study explores the relationship between Land Use Land Cover (LULC), Land Surface Temperature (LST), and Urban Heat Island (UHI) in Dakahlia Government using Landsat 8 images from 2014 to 2020. Support Vector Machine (SVM) and Mono-Window Algorithm were used to generate LULC and estimate LST. Results reveal an increase in built-up areas, rising LST, and variable UHI thresholds. The study highlights the impact of COVID-19 on LST in 2020. Positive correlations between LST and Normalized difference build-up index (NDBI) and negative correlations with Normalized difference vegetation index (NDVI) were observed. Projections for 2030 suggest an increase in high-temperature areas.KEYWORDS: Land Surface TemperatureUrban Heat Islandland use land coverLULC indicesCA-ANN algorithm Disclosure statementNo potential conflict of interest was reported by the author(s).
摘要利用2014 - 2020年的Landsat 8影像,研究了达喀利亚省土地利用、土地覆盖、地表温度和城市热岛之间的关系。采用支持向量机(SVM)和单窗算法生成LULC和估计LST。结果显示建成区增加,地表温度上升,城市热岛指数阈值变化。该研究强调了2019冠状病毒病对2020年LST的影响。地表温度与归一化植被指数(NDVI)呈负相关,与植被指数(NDBI)呈正相关。对2030年的预测表明,高温地区将会增加。关键词:地表温度城市热岛土地利用土地覆盖lulc指数ca - ann算法披露声明作者未报告潜在利益冲突。
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引用次数: 0
Maximizing grid-on-grid transformation performance with regularized regression techniques for integrating multi-source geospatial data 集成多源地理空间数据的正则化回归技术最大化网格对网格转换性能
4区 地球科学 Q4 GEOGRAPHY, PHYSICAL Pub Date : 2023-09-19 DOI: 10.1080/14498596.2023.2246425
Maan Habib, Ahmed Thneibat, Ali Farghal
ABSTRACTThree-dimensional coordinate transformations are required to harmonise different types of geospatial data accurately. Developing a mathematical model for data fusion relies on ground control points that produce discrepancies between the physical reality and depicted elements. The disparities between the two coordinate systems are known as the grid-to-ground issue that can be minimised by grid-to-grid or map-to-map transformation. This study develops simplified and rapid models for map-matching with global coordinates using regularised regression approaches to improve the accuracy and reliability of geospatial data. The results indicated that the proposed approach provides superior performance and employs any area with high accuracy.KEYWORDS: 2D similarity transformationconformal polynomialGNSSdatum shiftsregularised regression approaches Disclosure statementNo potential conflict of interest was reported by the author(s).
摘要为了准确协调不同类型的地理空间数据,需要进行三维坐标变换。开发数据融合的数学模型依赖于地面控制点,这些控制点会产生物理现实与所描绘元素之间的差异。两种坐标系之间的差异被称为网格到地问题,可以通过网格到网格或地图到地图的转换来最小化。本研究利用正则化回归方法开发了简化和快速的全球坐标地图匹配模型,以提高地理空间数据的准确性和可靠性。结果表明,该方法具有优越的性能,可在任意区域内实现高精度定位。关键词:二维相似变换共形多项式gnssdata shift正则化回归方法披露声明作者未报告潜在利益冲突。
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引用次数: 0
Comparison of pressure, temperature and specific humidity from COSMIC-2 with radiosonde and ERA5 COSMIC-2与无线电探空仪和ERA5的压力、温度和比湿度比较
4区 地球科学 Q4 GEOGRAPHY, PHYSICAL Pub Date : 2023-09-19 DOI: 10.1080/14498596.2023.2250749
Chunhua Jiang, Xiang Gao, Shuaimin Wang, Qianfang An, Meizhen Zhu
ABSTRACTPressure, temperature and specific humidity profiles from COSMIC-2 are compared with those from ERA5 and radiosonde data from October 2019 to September 2020. The results demonstrate that COSMIC-2 pressure and specific humidity profiles show relatively poor accuracy and stability in the lower troposphere. The 1D-Var solution effectively improves the accuracy of temperature parameters in the troposphere. Three parameters show high accuracy over one climatological year, but show slight seasonal fluctuations, especially for the specific humidity profiles in summer. Furthermore, COSMIC-2 specific humidity data show low consistency with radiosonde and ERA5 in the equatorial region.KEYWORDS: COSMIC-2ERA5radiosonde1D-Var AcknowledgementsThe authors would like to thank the UCAR (University Corporation for Atmospheric Research) for providing COSMIC-2 profiles data and University of Wyoming for providing radiosonde data. The ECMWF (European Centre for Medium-Range Meteorological Weather Forecasts) is appreciated for providing ERA5 reanalysis products. The numerical calculatione in this study have been done on the supercomputing system in the Supercomputing Center, Shandong University, Weihai.Disclosure statementNo potential conflict of interest was reported by the authors.Data availability statementThe COSMIC-2 profiles data can be downloaded from https://data.cosmic.ucar.edu/gnss-ro/cosmic2/nrt/level2/. The radiosonde data can be downloaded from http://weather.uwyo.edu/upperair/sounding.html. The ERA5 reanalysis products can be downloaded from https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5/.Additional informationFundingThis research is founded by the Startup Foundation for Doctors of Liaoning Province. [2021-BS-275], the Scientific Study Project for lnstitutes of Higher Learning, Ministry of Education, Liaoning Province [LJKMZ20220673], the Project supported by the State Key Laboratory of Geodesy and Earths’ Dynamics, Innovation Academy for Precision Measurement Science and Technology [SKLGED2023-3-2]; Project supported by the State Key Laboratory of Geodesy and Earths’Dynamics, Innovation Academy for Precision Measurement Science and Technology.
摘要将2019年10月至2020年9月COSMIC-2与ERA5和探空数据的压力、温度和比湿度曲线进行了比较。结果表明,COSMIC-2气压和比湿度廓线在对流层下层精度和稳定性较差。d - var解有效地提高了对流层温度参数的精度。3个参数在一个气候年内具有较高的精度,但在夏季的具体湿度廓线有轻微的季节波动。此外,COSMIC-2在赤道地区的比湿度数据与探空和ERA5的一致性较低。作者感谢UCAR(大学大气研究公司)提供COSMIC-2剖面数据和怀俄明大学提供无线电探空数据。感谢欧洲中期气象预报中心(ECMWF)提供ERA5再分析产品。本研究在山东大学威海超级计算中心的超级计算系统上进行了数值计算。披露声明作者未报告潜在的利益冲突。数据可用性声明COSMIC-2配置文件数据可从https://data.cosmic.ucar.edu/gnss-ro/cosmic2/nrt/level2/下载。无线电探空数据可从http://weather.uwyo.edu/upperair/sounding.html下载。ERA5再分析产品可从https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5/.Additional信息下载。本研究由辽宁省医生创业基金资助。[2021-BS-275],辽宁省高等学校科学研究项目[LJKMZ20220673],精密测量科学技术创新研究院大地测量与地球动力学国家重点实验室[SKLGED2023-3-2];精密测量科学技术创新研究院大地测量与地球动力学国家重点实验室资助的课题。
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引用次数: 0
BDS-3 phase bias products of new frequency B1C&B2a: ambiguity resolution and positioning accuracy evaluation BDS-3新频率b1cb2a相位偏置产品:歧义消解与定位精度评估
4区 地球科学 Q4 GEOGRAPHY, PHYSICAL Pub Date : 2023-09-12 DOI: 10.1080/14498596.2023.2251932
Yuqing Liu, Hu Wang, Yamin Dang, Yangfei Hou, Yingying Ren, Yafeng Wang
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引用次数: 0
Improved TPH for object detection in aerial images 用于航空图像目标检测的改进TPH
IF 1.9 4区 地球科学 Q4 GEOGRAPHY, PHYSICAL Pub Date : 2023-09-04 DOI: 10.1080/14498596.2023.2247689
Xiaobin Wang, Dekang Zhu, Ye Yan, Haohui Sun
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引用次数: 0
Correction 校正
IF 1.9 4区 地球科学 Q4 GEOGRAPHY, PHYSICAL Pub Date : 2023-08-10 DOI: 10.1080/14498596.2023.2241290
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引用次数: 0
Development of flood susceptibility map using a GIS-based AHP approach: a novel case study on Idukki district, India 使用基于GIS的AHP方法开发洪水敏感性图——以印度Idukki地区为例
IF 1.9 4区 地球科学 Q4 GEOGRAPHY, PHYSICAL Pub Date : 2023-08-02 DOI: 10.1080/14498596.2023.2236051
Zohaib Khan, Bharat Jhamnani
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引用次数: 0
Spatial statistics for legal process 法律程序的空间统计
IF 1.9 4区 地球科学 Q4 GEOGRAPHY, PHYSICAL Pub Date : 2023-07-24 DOI: 10.1080/14498596.2023.2226672
Riyajun Jannat, M. Al-Amin
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引用次数: 0
Gamification for road asset inspection from Mobile Mapping System data 基于移动地图系统数据的道路资产检查游戏化
IF 1.9 4区 地球科学 Q4 GEOGRAPHY, PHYSICAL Pub Date : 2023-07-21 DOI: 10.1080/14498596.2023.2236996
Álvaro Barros-Sobrín, J. Balado, M. Soilán, Enrique Mingueza-Bauzá
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引用次数: 0
Fusion of PlanetScope and Sentinel 2 in assessing foliar C:N ratio in a rangeland PlanetScope与Sentinel 2的融合评估牧地叶面碳氮比
IF 1.9 4区 地球科学 Q4 GEOGRAPHY, PHYSICAL Pub Date : 2023-07-21 DOI: 10.1080/14498596.2023.2229274
Adeola M. Arogoundade, O. Mutanga, J. Odindi
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引用次数: 0
期刊
Journal of Spatial Science
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