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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
Improving extraction of forest canopy height through reprocessing ICESat-2 ATLAS and GEDI data in sparsely forested plain regions 通过对 ICESat-2 ATLAS 和 GEDI 数据进行再处理，改进对森林稀疏的平原地区林冠高度的提取
IF 6.7 2区 地球科学
GIScience & Remote Sensing Pub Date : 2024-08-27 DOI: 10.1080/15481603.2024.2396807
Ruoqi Wang, Yagang Lu, Dengsheng Lu, Guiying Li
{"title":"Improving extraction of forest canopy height through reprocessing ICESat-2 ATLAS and GEDI data in sparsely forested plain regions","authors":"Ruoqi Wang, Yagang Lu, Dengsheng Lu, Guiying Li","doi":"10.1080/15481603.2024.2396807","DOIUrl":"https://doi.org/10.1080/15481603.2024.2396807","url":null,"abstract":"Forest canopy height (FCH) is one of the most important variables for carbon stock estimation. While many studies have focused on extracting FCH from spaceborne LiDAR in regions with spatially cont...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"8 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142118181","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 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
GIScience & Remote Sensing 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
{"title":"A new transferable deep learning approach for crop mapping","authors":"Hongyan Che, Yaozhong Pan, Xingsheng Xia, Xiufang Zhu, Le Li, Yongsheng Huang, Xuechang Zheng, Lingang Wang","doi":"10.1080/15481603.2024.2395700","DOIUrl":"https://doi.org/10.1080/15481603.2024.2395700","url":null,"abstract":"Accurate crop mapping provides important information for government decision-making and agricultural management. Recent advancements in deep learning have significantly enhanced the capabilities of...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"20 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142170703","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
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
GIScience & Remote Sensing Pub Date : 2024-08-26 DOI: 10.1080/15481603.2024.2393489
JunGi Moon, SungMin Suh, SangJin Jung, Sang-Soo Baek, JongCheol Pyo
{"title":"Deep learning-based mapping of total suspended solids in rivers across South Korea using high resolution satellite imagery","authors":"JunGi Moon, SungMin Suh, SangJin Jung, Sang-Soo Baek, JongCheol Pyo","doi":"10.1080/15481603.2024.2393489","DOIUrl":"https://doi.org/10.1080/15481603.2024.2393489","url":null,"abstract":"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...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"14 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142118178","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
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
GIScience & Remote Sensing 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
{"title":"Improving assessment of population exposure and health impacts to PM2.5 with high spatial and temporal data","authors":"Xia Zhao, Yuyu Zhou, Xi Li, Tao Zhang, Yueying Wang, Zhengyuan Zhu, Kai Zhang, Deren Li","doi":"10.1080/15481603.2024.2388921","DOIUrl":"https://doi.org/10.1080/15481603.2024.2388921","url":null,"abstract":"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...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"56 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141909294","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
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
GIScience & Remote Sensing Pub Date : 2024-08-05 DOI: 10.1080/15481603.2024.2387385
Tuyen V. Ha, Soner Uereyen, Claudia Kuenzer
{"title":"Spatiotemporal analysis of tropical vegetation ecosystems and their responses to multifaceted droughts in Mainland Southeast Asia using satellite-based time series","authors":"Tuyen V. Ha, Soner Uereyen, Claudia Kuenzer","doi":"10.1080/15481603.2024.2387385","DOIUrl":"https://doi.org/10.1080/15481603.2024.2387385","url":null,"abstract":"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...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"55 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141900002","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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