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GIScience & Remote Sensing最新文献

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Global dynamics of wildland urban interfaces: hotspots of hazards, services, and conservation 荒地-城市界面的全球动态：危险、服务和保护热点
IF 6.7 2区 地球科学 Q1 GEOGRAPHY, PHYSICAL
GIScience & Remote Sensing
Pub Date : 2026-03-19 DOI: 10.1080/15481603.2026.2640281
G. Darrel Jenerette, Robert F. Johnson
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引用次数: 0
Global pandemic reshaped urban expansion: insights into the policy and spatial expansion pattern in global 400+ cities 全球流行病重塑了城市扩张：对全球400多个城市政策和空间扩张格局的洞察
IF 6.7 2区 地球科学 Q1 GEOGRAPHY, PHYSICAL
GIScience & Remote Sensing
Pub Date : 2026-03-13 DOI: 10.1080/15481603.2026.2642617
Lingyu Sun, Chen Wu, Jialu Li, Bo Du, Liangpei Zhang
{"title":"Global pandemic reshaped urban expansion: insights into the policy and spatial expansion pattern in global 400+ cities","authors":"Lingyu Sun, Chen Wu, Jialu Li, Bo Du, Liangpei Zhang","doi":"10.1080/15481603.2026.2642617","DOIUrl":"https://doi.org/10.1080/15481603.2026.2642617","url":null,"abstract":"","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"1 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2026-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147454522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Fluctuating restoration of Suaeda species in Coastal China: remote sensing-based spatiotemporal patterns and underlying drivers 中国沿海盐田物种的波动恢复：基于遥感的时空格局及其驱动因素
IF 6.7 2区 地球科学 Q1 GEOGRAPHY, PHYSICAL
GIScience & Remote Sensing
Pub Date : 2026-03-12 DOI: 10.1080/15481603.2026.2643946
Yangyang Yan, Chuanpeng Zhao, Mingming Jia, Rong Zhang, Chunying Ren, Zongming Wang
{"title":"Fluctuating restoration of Suaeda species in Coastal China: remote sensing-based spatiotemporal patterns and underlying drivers","authors":"Yangyang Yan, Chuanpeng Zhao, Mingming Jia, Rong Zhang, Chunying Ren, Zongming Wang","doi":"10.1080/15481603.2026.2643946","DOIUrl":"https://doi.org/10.1080/15481603.2026.2643946","url":null,"abstract":"","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"33 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2026-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147454525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
MPRI: a multi-phenology index for rapeseed mapping using time-series Sentinel-1 SAR data MPRI：基于Sentinel-1时间序列SAR数据的油菜多物候指数
IF 6.7 2区 地球科学 Q1 GEOGRAPHY, PHYSICAL
GIScience & Remote Sensing
Pub Date : 2026-03-11 DOI: 10.1080/15481603.2026.2641365
Zhou Rui, Zhou Ya'nan, Zhou Yang, Feng Li, Chen Yuehong, Zhu Weiwei
{"title":"MPRI: a multi-phenology index for rapeseed mapping using time-series Sentinel-1 SAR data","authors":"Zhou Rui, Zhou Ya'nan, Zhou Yang, Feng Li, Chen Yuehong, Zhu Weiwei","doi":"10.1080/15481603.2026.2641365","DOIUrl":"https://doi.org/10.1080/15481603.2026.2641365","url":null,"abstract":"","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"55 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2026-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147454526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Global instantaneous monitoring of reservoir water levels using ICESat-2 photon-counting LiDAR 利用ICESat-2光子计数激光雷达对水库水位进行全球瞬时监测
IF 6.7 2区 地球科学 Q1 GEOGRAPHY, PHYSICAL
GIScience & Remote Sensing
Pub Date : 2026-03-10 DOI: 10.1080/15481603.2026.2642616
Xin Jiang, Yuyu Zhou, Huizhong Shen, Zhilin Guo, Zhenzhong Zeng
{"title":"Global instantaneous monitoring of reservoir water levels using ICESat-2 photon-counting LiDAR","authors":"Xin Jiang, Yuyu Zhou, Huizhong Shen, Zhilin Guo, Zhenzhong Zeng","doi":"10.1080/15481603.2026.2642616","DOIUrl":"https://doi.org/10.1080/15481603.2026.2642616","url":null,"abstract":"","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"31 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2026-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147454527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
GTGRI: a Gaussian time-weighted growth rate index for multi-season paddy rice mapping in diverse climates with dense SAR time series GTGRI：一种适用于不同气候条件下稠密SAR时间序列水稻多季制图的高斯时间加权生长速率指数
IF 6.7 2区 地球科学 Q1 GEOGRAPHY, PHYSICAL
GIScience & Remote Sensing
Pub Date : 2026-02-20 DOI: 10.1080/15481603.2026.2629148
Di Liu, Jiao Wang, Chengbin Deng
{"title":"GTGRI: a Gaussian time-weighted growth rate index for multi-season paddy rice mapping in diverse climates with dense SAR time series","authors":"Di Liu, Jiao Wang, Chengbin Deng","doi":"10.1080/15481603.2026.2629148","DOIUrl":"https://doi.org/10.1080/15481603.2026.2629148","url":null,"abstract":"","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"174 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2026-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146260837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Mapping nationwide 1 Km hourly human mobility (2022–2024) across South Korea using multi-source data 使用多源数据绘制韩国全国每小时1公里的人类流动性（2022-2024）
IF 6.7 2区 地球科学 Q1 GEOGRAPHY, PHYSICAL
GIScience & Remote Sensing
Pub Date : 2026-02-19 DOI: 10.1080/15481603.2026.2633052
Siwoo Lee, Yoojin Kang, Taejun Sung, Soomin Hwang, Seyoung Yang, Jungho Im
{"title":"Mapping nationwide 1 Km hourly human mobility (2022–2024) across South Korea using multi-source data","authors":"Siwoo Lee, Yoojin Kang, Taejun Sung, Soomin Hwang, Seyoung Yang, Jungho Im","doi":"10.1080/15481603.2026.2633052","DOIUrl":"https://doi.org/10.1080/15481603.2026.2633052","url":null,"abstract":"","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"10 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2026-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146260838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Joint super-resolution and segmentation for 1-m impervious surface area mapping in China’s Yangtze river economic belt 长江经济带1 m不透水地表联合超分辨与分割
IF 6.7 2区 地球科学 Q1 GEOGRAPHY, PHYSICAL
GIScience & Remote Sensing
Pub Date : 2026-02-17 DOI: 10.1080/15481603.2025.2610548
Jie Deng, Danfeng Hong, Chenyu Li, Naoto Yokoya
{"title":"Joint super-resolution and segmentation for 1-m impervious surface area mapping in China’s Yangtze river economic belt","authors":"Jie Deng, Danfeng Hong, Chenyu Li, Naoto Yokoya","doi":"10.1080/15481603.2025.2610548","DOIUrl":"https://doi.org/10.1080/15481603.2025.2610548","url":null,"abstract":"","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"30 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2026-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146260839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Machine learning estimation of off-trail pedestrian travel rates using LiDAR-derived slope, vegetation, and surface roughness 利用激光雷达导出的坡度、植被和表面粗糙度的机器学习估计步道外行人旅行率
IF 6.7 2区 地球科学 Q1 GEOGRAPHY, PHYSICAL
GIScience & Remote Sensing
Pub Date : 2026-02-10 DOI: 10.1080/15481603.2026.2626632
Sierra L. Cutler, Michael J. Campbell, Simon C. Brewer, Philip E. Dennison
{"title":"Machine learning estimation of off-trail pedestrian travel rates using LiDAR-derived slope, vegetation, and surface roughness","authors":"Sierra L. Cutler, Michael J. Campbell, Simon C. Brewer, Philip E. Dennison","doi":"10.1080/15481603.2026.2626632","DOIUrl":"https://doi.org/10.1080/15481603.2026.2626632","url":null,"abstract":"","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"30 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146169671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Reconstructing long-term (2003–2019) global high-resolution XCO 2 : bridging observational gaps with machine learning 重建长期（2003-2019）全球高分辨率二氧化碳：用机器学习弥合观测差距
IF 6.7 2区 地球科学 Q1 GEOGRAPHY, PHYSICAL
GIScience & Remote Sensing
Pub Date : 2026-02-09 DOI: 10.1080/15481603.2026.2627042
Soomin Hwang, Hyunyoung Choi, Yoojin Kang, Jungho Im
{"title":"Reconstructing long-term (2003–2019) global high-resolution XCO 2 : bridging observational gaps with machine learning","authors":"Soomin Hwang, Hyunyoung Choi, Yoojin Kang, Jungho Im","doi":"10.1080/15481603.2026.2627042","DOIUrl":"https://doi.org/10.1080/15481603.2026.2627042","url":null,"abstract":"","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"1 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2026-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146146161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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