发布求助
文献互助 智能选刊 最新文献

GIScience & Remote Sensing最新文献

筛选
英文 中文
Mapping winter fallow arable lands in Southern China by using a multi-temporal overlapped area minimization threshold method 利用多时相重叠面积最小化阈值法绘制中国南方冬季休耕耕地图
IF 6.7 2区 地球科学
GIScience & Remote Sensing Pub Date : 2024-03-25 DOI: 10.1080/15481603.2024.2333587
Xiangyi Wang, Yingbin He, Yan Zha, Huicong Chen, Yongye Wang, Xiuying Wu, Jiong Ning, Anran Feng, Shengnan Han, Shanjun Luo
{"title":"Mapping winter fallow arable lands in Southern China by using a multi-temporal overlapped area minimization threshold method","authors":"Xiangyi Wang, Yingbin He, Yan Zha, Huicong Chen, Yongye Wang, Xiuying Wu, Jiong Ning, Anran Feng, Shengnan Han, Shanjun Luo","doi":"10.1080/15481603.2024.2333587","DOIUrl":"https://doi.org/10.1080/15481603.2024.2333587","url":null,"abstract":"In China, a nation facing farmland scarcity, accurate mapping of winter fallow arable lands is crucial for enhancing crop rotation and land use efficiency. The Dynamic Threshold (DT) method commonl...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140291784","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
Integrated knowledge graph construction framework for places-of-interest retrieval using a property graph database 利用属性图数据库进行兴趣点检索的综合知识图构建框架
IF 6.7 2区 地球科学
GIScience & Remote Sensing Pub Date : 2024-03-20 DOI: 10.1080/15481603.2024.2331861
Seula Park, Youngmin Lee, Kiyun Yu
{"title":"Integrated knowledge graph construction framework for places-of-interest retrieval using a property graph database","authors":"Seula Park, Youngmin Lee, Kiyun Yu","doi":"10.1080/15481603.2024.2331861","DOIUrl":"https://doi.org/10.1080/15481603.2024.2331861","url":null,"abstract":"With recent technological advances, the efficient extraction and utilization of valuable information from large-scale data sources have become increasingly important. The development of knowledge g...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140182849","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 novel spaceborne photon-counting laser altimeter denoising method based on parameter-adaptive density clustering 基于参数自适应密度聚类的新型空间光子计数激光高度计去噪方法
IF 6.7 2区 地球科学
GIScience & Remote Sensing Pub Date : 2024-03-15 DOI: 10.1080/15481603.2024.2326702
Ren Liu, Xinming Tang, Junfeng Xie, Rujia Ma, Fan Mo, Xiaomeng Yang
{"title":"A novel spaceborne photon-counting laser altimeter denoising method based on parameter-adaptive density clustering","authors":"Ren Liu, Xinming Tang, Junfeng Xie, Rujia Ma, Fan Mo, Xiaomeng Yang","doi":"10.1080/15481603.2024.2326702","DOIUrl":"https://doi.org/10.1080/15481603.2024.2326702","url":null,"abstract":"To tackle the challenge of denoising spaceborne photon-counting laser altimeter point clouds with uneven noise density, this study proposes a denoising method based on adaptive parameter density cl...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140135994","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
U-SeqNet: learning spatiotemporal mapping relationships for multimodal multitemporal cloud removal U-SeqNet：学习时空映射关系，实现多模态多时空云清除
IF 6.7 2区 地球科学
GIScience & Remote Sensing Pub Date : 2024-03-14 DOI: 10.1080/15481603.2024.2330185
Qian Zhang, Xiangnan Liu, Tao Peng, Xiao Yang, Mengzhen Tang, Xinyu Zou, Meiling Liu, Ling Wu, Tingwei Zhang
{"title":"U-SeqNet: learning spatiotemporal mapping relationships for multimodal multitemporal cloud removal","authors":"Qian Zhang, Xiangnan Liu, Tao Peng, Xiao Yang, Mengzhen Tang, Xinyu Zou, Meiling Liu, Ling Wu, Tingwei Zhang","doi":"10.1080/15481603.2024.2330185","DOIUrl":"https://doi.org/10.1080/15481603.2024.2330185","url":null,"abstract":"Optical remotely sensed time series data have various key applications in Earth surface dynamics. However, cloud cover significantly hampers data analysis and interpretation. Despite synthetic aper...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140124182","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 invasive noxious weed species in the alpine grassland ecosystems using very high spatial resolution UAV hyperspectral imagery and a novel deep learning model 利用空间分辨率极高的无人机高光谱图像和新型深度学习模型绘制高寒草地生态系统中的入侵有害杂草物种地图
IF 6.7 2区 地球科学
GIScience & Remote Sensing Pub Date : 2024-03-13 DOI: 10.1080/15481603.2024.2327146
Fei Xing, Ru An, Xulin Guo, Xiaoji Shen
{"title":"Mapping invasive noxious weed species in the alpine grassland ecosystems using very high spatial resolution UAV hyperspectral imagery and a novel deep learning model","authors":"Fei Xing, Ru An, Xulin Guo, Xiaoji Shen","doi":"10.1080/15481603.2024.2327146","DOIUrl":"https://doi.org/10.1080/15481603.2024.2327146","url":null,"abstract":"The term “invasive noxious weed species” (INWS), which refers to noxious weed plants that invade native alpine grasslands, has increasingly become an ecological and economic threat in the alpine gr...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140124210","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
Bridging satellite missions: deep transfer learning for enhanced tropical cyclone intensity estimation 衔接卫星任务：用于增强热带气旋强度估计的深度转移学习
IF 6.7 2区 地球科学
GIScience & Remote Sensing Pub Date : 2024-03-11 DOI: 10.1080/15481603.2024.2325720
Minki Choo, Yejin Kim, Juhyun Lee, Jungho Im, Il-Ju Moon
{"title":"Bridging satellite missions: deep transfer learning for enhanced tropical cyclone intensity estimation","authors":"Minki Choo, Yejin Kim, Juhyun Lee, Jungho Im, Il-Ju Moon","doi":"10.1080/15481603.2024.2325720","DOIUrl":"https://doi.org/10.1080/15481603.2024.2325720","url":null,"abstract":"Geostationary satellites are valuable tools for monitoring the entire lifetime of tropical cyclones (TCs). Although the most widely used method for TC intensity estimation is manual, several automa...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140117942","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
Process-based and geostationary meteorological satellite-enhanced dead fuel moisture content estimation 基于过程的和地球静止气象卫星增强的死亡燃料水分含量估算
IF 6.7 2区 地球科学
GIScience & Remote Sensing Pub Date : 2024-03-05 DOI: 10.1080/15481603.2024.2324556
Chunquan Fan, Binbin He, Jianpeng Yin, Rui Chen, Hongguo Zhang
{"title":"Process-based and geostationary meteorological satellite-enhanced dead fuel moisture content estimation","authors":"Chunquan Fan, Binbin He, Jianpeng Yin, Rui Chen, Hongguo Zhang","doi":"10.1080/15481603.2024.2324556","DOIUrl":"https://doi.org/10.1080/15481603.2024.2324556","url":null,"abstract":"Dead fuel moisture content (DFMC) is essential for assessing wildfire danger, fire behavior, and fuel consumption. Several process-based models have been proposed to estimate DFMC. Previous studies...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140037915","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
Cloud restoration of optical satellite imagery using time-series spectral similarity group 利用时间序列光谱相似性组对光学卫星图像进行云恢复
IF 6.7 2区 地球科学
GIScience & Remote Sensing Pub Date : 2024-03-05 DOI: 10.1080/15481603.2024.2324553
Yerin Yun, Jinha Jung, Youkyung Han
{"title":"Cloud restoration of optical satellite imagery using time-series spectral similarity group","authors":"Yerin Yun, Jinha Jung, Youkyung Han","doi":"10.1080/15481603.2024.2324553","DOIUrl":"https://doi.org/10.1080/15481603.2024.2324553","url":null,"abstract":"According to climate statistics, clouds cover more than a third of the Earth’s land surface on average. This cloud coverage obstructs optical satellite imagery, resulting in a loss of essential inf...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140048047","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
Inferring the heterogeneous effect of urban land use on building height with causal machine learning 利用因果机器学习推断城市土地利用对建筑高度的异质性影响
IF 6.7 2区 地球科学
GIScience & Remote Sensing Pub Date : 2024-02-25 DOI: 10.1080/15481603.2024.2321695
Yimin Chen, Jing Chen, Shuai Zhao, Xiaocong Xu, Xiaoping Liu, Xinchang Zhang, Honghui Zhang
{"title":"Inferring the heterogeneous effect of urban land use on building height with causal machine learning","authors":"Yimin Chen, Jing Chen, Shuai Zhao, Xiaocong Xu, Xiaoping Liu, Xinchang Zhang, Honghui Zhang","doi":"10.1080/15481603.2024.2321695","DOIUrl":"https://doi.org/10.1080/15481603.2024.2321695","url":null,"abstract":"Machine learning has become an important approach for land use change modeling. However, conventional machine learning algorithms are limited in their ability to capture causal relationships in lan...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139987548","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
Fine classification of crops based on an inductive transfer learning method with compact polarimetric SAR images 利用紧凑型偏振合成孔径雷达图像，基于归纳转移学习法对农作物进行精细分类
IF 6.7 2区 地球科学
GIScience & Remote Sensing Pub Date : 2024-02-23 DOI: 10.1080/15481603.2024.2319939
Xianyu Guo, Junjun Yin, Jian Yang
{"title":"Fine classification of crops based on an inductive transfer learning method with compact polarimetric SAR images","authors":"Xianyu Guo, Junjun Yin, Jian Yang","doi":"10.1080/15481603.2024.2319939","DOIUrl":"https://doi.org/10.1080/15481603.2024.2319939","url":null,"abstract":"Compact polarimetric synthetic aperture radar (CP SAR) reduces fully polarimetric SAR system complexity and expands the imaging swath. Generally, fine classification of crop types relies on many la...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139957160","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信