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GIScience & Remote Sensing最新文献

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Using PlanetScope-derived time-series elevation models and orthophotos to track glacier 3D dynamics in mid-latitude mountain regions 利用planetscope衍生的时间序列高程模型和正射影像跟踪中纬度山区冰川三维动态
IF 6.7 2区 地球科学
GIScience & Remote Sensing Pub Date : 2025-05-21 DOI: 10.1080/15481603.2025.2507470
Shengxi Gui, Rongjun Qin
{"title":"Using PlanetScope-derived time-series elevation models and orthophotos to track glacier 3D dynamics in mid-latitude mountain regions","authors":"Shengxi Gui, Rongjun Qin","doi":"10.1080/15481603.2025.2507470","DOIUrl":"https://doi.org/10.1080/15481603.2025.2507470","url":null,"abstract":"","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"13 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144194007","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
Synthesizing Landsat images using time series model-fitting methods for China’s coastal areas against sparse and irregular observations 利用时间序列模型拟合方法，针对稀疏和不规则观测数据合成中国沿海地区的大地遥感卫星图像
IF 6.7 2区 地球科学
GIScience & Remote Sensing Pub Date : 2024-10-26 DOI: 10.1080/15481603.2024.2421574
Chao Sun, Jialin Li, Yongchao Liu, Tingting Pan, Ke Shi, Xinyao Cai
{"title":"Synthesizing Landsat images using time series model-fitting methods for China’s coastal areas against sparse and irregular observations","authors":"Chao Sun, Jialin Li, Yongchao Liu, Tingting Pan, Ke Shi, Xinyao Cai","doi":"10.1080/15481603.2024.2421574","DOIUrl":"https://doi.org/10.1080/15481603.2024.2421574","url":null,"abstract":"Long historical records and free accessibility have made Landsat data valuable for time-series analysis. However, Landsat time-series analysis is restricted for coastal areas due to the lack of suf...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"237 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142536670","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
Methods to compare sites concerning a category’s change during various time intervals 比较网站在不同时间段内类别变化的方法
IF 6.7 2区 地球科学
GIScience & Remote Sensing Pub Date : 2024-10-20 DOI: 10.1080/15481603.2024.2409484
Thomas Mumuni Bilintoh, Robert Gilmore Pontius Jr, Aiyin Zhang
{"title":"Methods to compare sites concerning a category’s change during various time intervals","authors":"Thomas Mumuni Bilintoh, Robert Gilmore Pontius Jr, Aiyin Zhang","doi":"10.1080/15481603.2024.2409484","DOIUrl":"https://doi.org/10.1080/15481603.2024.2409484","url":null,"abstract":"This paper presents new methods to analyze a category’s change through a time series of maps, even when the time intervals have inconsistent durations. The methods include an option to facilitate c...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"18 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142452196","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
LSL-SS-Net: level set loss-guided semantic segmentation networks for landslide extraction LSL-SS-Net：用于滑坡提取的水平集损失引导语义分割网络
IF 6.7 2区 地球科学
GIScience & Remote Sensing Pub Date : 2024-10-19 DOI: 10.1080/15481603.2024.2416727
Yueheng Yang, Zelang Miao, Xiaojing Li, Hua Zhang, Shuai Chen
{"title":"LSL-SS-Net: level set loss-guided semantic segmentation networks for landslide extraction","authors":"Yueheng Yang, Zelang Miao, Xiaojing Li, Hua Zhang, Shuai Chen","doi":"10.1080/15481603.2024.2416727","DOIUrl":"https://doi.org/10.1080/15481603.2024.2416727","url":null,"abstract":"A landslide inventory is essential for numerous applications, including disaster prevention and mitigation. The emergence of advanced satellite technologies and the proliferation of extensive satel...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"44 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142452048","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
Monitoring the Amazon River plume from satellite observations 通过卫星观测监测亚马逊河羽流
IF 6.7 2区 地球科学
GIScience & Remote Sensing Pub Date : 2024-10-18 DOI: 10.1080/15481603.2024.2416725
Wei Shi, Menghua Wang
{"title":"Monitoring the Amazon River plume from satellite observations","authors":"Wei Shi, Menghua Wang","doi":"10.1080/15481603.2024.2416725","DOIUrl":"https://doi.org/10.1080/15481603.2024.2416725","url":null,"abstract":"Most of our knowledge about the Amazon River plume is limited from the field experiments or modeling due to various challenges for satellite remote sensing, i.e., constant cloud coverage, atmospher...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"124 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142452116","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
Identifying the spatio-temporal distribution characteristics of offshore wind turbines in China from Sentinel-1 imagery using deep learning 利用深度学习从哨兵-1 图像中识别中国海上风力涡轮机的时空分布特征
IF 6.7 2区 地球科学
GIScience & Remote Sensing Pub Date : 2024-09-25 DOI: 10.1080/15481603.2024.2407389
Qiannan Ding, Bo Tian, Chunpeng Chen, Yuekai Hu, Xue Li
{"title":"Identifying the spatio-temporal distribution characteristics of offshore wind turbines in China from Sentinel-1 imagery using deep learning","authors":"Qiannan Ding, Bo Tian, Chunpeng Chen, Yuekai Hu, Xue Li","doi":"10.1080/15481603.2024.2407389","DOIUrl":"https://doi.org/10.1080/15481603.2024.2407389","url":null,"abstract":"Offshore wind power is a crucial clean energy source for coastal countries and advances blue economies. Accurate spatial mapping of offshore wind turbines supports energy assessment and the sustain...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"1 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142374398","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 urban functional zones with remote sensing and geospatial big data: a systematic review 利用遥感和地理空间大数据绘制城市功能区地图：系统综述
IF 6.7 2区 地球科学
GIScience & Remote Sensing Pub Date : 2024-09-22 DOI: 10.1080/15481603.2024.2404900
Shouhang Du, Xiuyuan Zhang, Yichen Lei, Xin Huang, Wei Tu, Bo Liu, Qingyan Meng, Shihong Du
{"title":"Mapping urban functional zones with remote sensing and geospatial big data: a systematic review","authors":"Shouhang Du, Xiuyuan Zhang, Yichen Lei, Xin Huang, Wei Tu, Bo Liu, Qingyan Meng, Shihong Du","doi":"10.1080/15481603.2024.2404900","DOIUrl":"https://doi.org/10.1080/15481603.2024.2404900","url":null,"abstract":"Urban functional zones (UFZs) serve as the spatial carriers embodying urban economic and social activities, thus making the accurate mapping of UFZs imperative for urban planning, management, and s...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"23 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142487683","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
Advancement of a diagnostic prediction model for spatiotemporal calibration of earth observation data: a case study on projecting forest net primary production in the mid-latitude region 推进地球观测数据时空校准诊断预测模型：中纬度地区森林净初级生产力预测案例研究
IF 6.7 2区 地球科学
GIScience & Remote Sensing Pub Date : 2024-09-12 DOI: 10.1080/15481603.2024.2401247
Eunbeen Park, Hyun-Woo Jo, Gregory Scott Biging, Jong Ahn Chun, Seong Woo Jeon, Yowhan Son, Florian Kraxner, Woo-Kyun Lee
{"title":"Advancement of a diagnostic prediction model for spatiotemporal calibration of earth observation data: a case study on projecting forest net primary production in the mid-latitude region","authors":"Eunbeen Park, Hyun-Woo Jo, Gregory Scott Biging, Jong Ahn Chun, Seong Woo Jeon, Yowhan Son, Florian Kraxner, Woo-Kyun Lee","doi":"10.1080/15481603.2024.2401247","DOIUrl":"https://doi.org/10.1080/15481603.2024.2401247","url":null,"abstract":"Developing a precise and interpretable spatiotemporal model is need for establishing evidence-based adaptation strategies on climate change-driven disasters. This study introduced a diagnostic pred...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"13 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142321646","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
Using imaging spectroscopy to assess the impacts of invasive plants on aboveground and belowground characteristics 利用成像光谱学评估入侵植物对地上和地下特征的影响
IF 6.7 2区 地球科学
GIScience & Remote Sensing Pub Date : 2024-09-07 DOI: 10.1080/15481603.2024.2399388
M. Ny Aina Rakotoarivony, Hamed Gholizadeh, Kianoosh Hassani, Shelby McMahan, Elizabeth Struble, Samuel Fuhlendorf, Robert Hamilton, Benedicte Bachelot
{"title":"Using imaging spectroscopy to assess the impacts of invasive plants on aboveground and belowground characteristics","authors":"M. Ny Aina Rakotoarivony, Hamed Gholizadeh, Kianoosh Hassani, Shelby McMahan, Elizabeth Struble, Samuel Fuhlendorf, Robert Hamilton, Benedicte Bachelot","doi":"10.1080/15481603.2024.2399388","DOIUrl":"https://doi.org/10.1080/15481603.2024.2399388","url":null,"abstract":"Invasive plants are threats to biodiversity, ecosystem functioning, and services. Previous studies have reported that the impacts of biological invasions on ecosystem characteristics can be scale- ...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"200 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142321787","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
A new index for detection of submerged aquatic plants under variable quality water: an extension of the soil-line concept 水质多变条件下沉水植物检测新指标：土壤线概念的延伸
IF 6.7 2区 地球科学
GIScience & Remote Sensing Pub Date : 2024-09-06 DOI: 10.1080/15481603.2024.2399386
Shruti Khanna, Erin L. Hestir, Joaquim Bellvert, Jennifer D. Boyer, Kristen D. Shapiro, Susan L. Ustin
{"title":"A new index for detection of submerged aquatic plants under variable quality water: an extension of the soil-line concept","authors":"Shruti Khanna, Erin L. Hestir, Joaquim Bellvert, Jennifer D. Boyer, Kristen D. Shapiro, Susan L. Ustin","doi":"10.1080/15481603.2024.2399386","DOIUrl":"https://doi.org/10.1080/15481603.2024.2399386","url":null,"abstract":"Submersed aquatic plant (SAP) communities are important determinants of estuarine and lacustrine food web structure, nutrient cycling, and water quality. Variation in water quality, SAP community c...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"5 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142170702","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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