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International Journal of Remote Sensing最新文献

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Producing annual Australia-wide vegetation height images from GEDI and Landsat data 利用 GEDI 和 Landsat 数据制作全澳大利亚年度植被高度图像
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-08-30 DOI: 10.1080/01431161.2024.2391093
Catherine Ticehurst, Glenn Newnham
{"title":"Producing annual Australia-wide vegetation height images from GEDI and Landsat data","authors":"Catherine Ticehurst, Glenn Newnham","doi":"10.1080/01431161.2024.2391093","DOIUrl":"https://doi.org/10.1080/01431161.2024.2391093","url":null,"abstract":"Vegetation height, and its spatial and temporal changes, is an important environmental parameter required for understanding natural habitats, estimating carbon stores and monitoring forestry activi...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142269372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Wetland mapping in the Liaohe River Estuary using multi-source remote sensing image feature selection 利用多源遥感影像特征选择绘制辽河口湿地图
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-08-30 DOI: 10.1080/01431161.2024.2391588
Jinjie He, Chang Wang, Ying Han, Wen Zhang, Xu Wang, Yuxiang Li, Li Guo
{"title":"Wetland mapping in the Liaohe River Estuary using multi-source remote sensing image feature selection","authors":"Jinjie He, Chang Wang, Ying Han, Wen Zhang, Xu Wang, Yuxiang Li, Li Guo","doi":"10.1080/01431161.2024.2391588","DOIUrl":"https://doi.org/10.1080/01431161.2024.2391588","url":null,"abstract":"As a crucial node in the East Asia–Australasia migratory bird network, the Liaohe River Estuary Wetland (LREW) contributes significantly to coastal ecological balance and biodiversity. Accurate and...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142203765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Enhancing peatland monitoring through multisource remote sensing: optical and radar data applications 通过多源遥感加强泥炭地监测：光学和雷达数据应用
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-08-30 DOI: 10.1080/01431161.2024.2387133
Gohar Ghazaryan, Lena Krupp, Simon Seyfried, Nele Landgraf, Claas Nendel
{"title":"Enhancing peatland monitoring through multisource remote sensing: optical and radar data applications","authors":"Gohar Ghazaryan, Lena Krupp, Simon Seyfried, Nele Landgraf, Claas Nendel","doi":"10.1080/01431161.2024.2387133","DOIUrl":"https://doi.org/10.1080/01431161.2024.2387133","url":null,"abstract":"Peatlands play a pivotal role in global carbon cycling and the conservation of biodiversity even though they cover a small fraction of the Earth’s terrestrial surface. These ecosystems are, however...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142264841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 offshore wind turbine detection: a combined application of deep learning and Google earth engine 全球近海风力涡轮机检测：深度学习与谷歌地球引擎的结合应用
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-08-30 DOI: 10.1080/01431161.2024.2391587
Shuai Zhang, Fangxiong Wang, Yingzi Hou, Junfu Wang, Jianke Guo
{"title":"Global offshore wind turbine detection: a combined application of deep learning and Google earth engine","authors":"Shuai Zhang, Fangxiong Wang, Yingzi Hou, Junfu Wang, Jianke Guo","doi":"10.1080/01431161.2024.2391587","DOIUrl":"https://doi.org/10.1080/01431161.2024.2391587","url":null,"abstract":"As a renewable energy source, ocean wind energy plays an important role in addressing challenges such as global energy shortages and climate warming. In the past decade, the offshore wind power ind...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142203738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Hyperspectral prediction model of soil Cu content based on WOA-SPA algorithm 基于 WOA-SPA 算法的土壤铜含量高光谱预测模型
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-08-30 DOI: 10.1080/01431161.2024.2388877
Xiqin Feng, Anhong Tian, Chengbiao Fu
{"title":"Hyperspectral prediction model of soil Cu content based on WOA-SPA algorithm","authors":"Xiqin Feng, Anhong Tian, Chengbiao Fu","doi":"10.1080/01431161.2024.2388877","DOIUrl":"https://doi.org/10.1080/01431161.2024.2388877","url":null,"abstract":"The content of heavy metal Cu in soil is an important indicator for assessing soil quality. However, soil hyperspectral data contain a large amount of redundant data, which can affect the effective...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142264842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Research on identification and extraction of crop plants in plateau mountainous areas based on multi-dimensional features 基于多维特征的高原山区农作物植物识别与提取研究
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-08-27 DOI: 10.1080/01431161.2024.2391080
Linjiang Yin, Zhongfa Zhou, Weiquan Zhao, Yanmei Liao, Denghong Huang, Wei Li
{"title":"Research on identification and extraction of crop plants in plateau mountainous areas based on multi-dimensional features","authors":"Linjiang Yin, Zhongfa Zhou, Weiquan Zhao, Yanmei Liao, Denghong Huang, Wei Li","doi":"10.1080/01431161.2024.2391080","DOIUrl":"https://doi.org/10.1080/01431161.2024.2391080","url":null,"abstract":"To address poor crop extraction results in mountainous regions using single-feature data in previous research, this study employed a quadcopter to capture aerial orthophoto imagery and image-matchi...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142203741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Tropical cyclone tracking from geostationary infrared satellite images using deep learning techniques 利用深度学习技术从地球静止红外卫星图像追踪热带气旋
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-08-27 DOI: 10.1080/01431161.2024.2388876
Chang-Jiang Zhang, Liu Zhang, Chen-Miao Rui, Lei-Ming Ma, Xiao-Qin Lu
{"title":"Tropical cyclone tracking from geostationary infrared satellite images using deep learning techniques","authors":"Chang-Jiang Zhang, Liu Zhang, Chen-Miao Rui, Lei-Ming Ma, Xiao-Qin Lu","doi":"10.1080/01431161.2024.2388876","DOIUrl":"https://doi.org/10.1080/01431161.2024.2388876","url":null,"abstract":"Accurate tracking of tropical cyclones (TCs) can provide regions of interest for intelligent forecasting of TC tracks and intensity. There have been few studies on algorithms for automatic TC track...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142203739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Small unmanned aerial vehicle (UAV)-based detection of seasonal micro-urban heat islands for diverse land uses 基于小型无人飞行器 (UAV) 的季节性微城市热岛探测，适用于不同土地用途
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-08-27 DOI: 10.1080/01431161.2024.2391582
Junaid Ahmad, Muhammad Sajjad, Jessica Eisma
{"title":"Small unmanned aerial vehicle (UAV)-based detection of seasonal micro-urban heat islands for diverse land uses","authors":"Junaid Ahmad, Muhammad Sajjad, Jessica Eisma","doi":"10.1080/01431161.2024.2391582","DOIUrl":"https://doi.org/10.1080/01431161.2024.2391582","url":null,"abstract":"Metropolitan areas have diverse land uses (LUs), which can also cause significant differences in land surface temperature (LST), leading to the formation of micro-urban heat islands (MUHIs). Measur...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142203737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Enhancing cotton seedling recognition: a method for high-resolution UAV remote sensing images 增强棉花幼苗识别能力：一种用于高分辨率无人机遥感图像的方法
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-08-27 DOI: 10.1080/01431161.2024.2391081
Quan Xu, Mengting Jin, Peng Guo
{"title":"Enhancing cotton seedling recognition: a method for high-resolution UAV remote sensing images","authors":"Quan Xu, Mengting Jin, Peng Guo","doi":"10.1080/01431161.2024.2391081","DOIUrl":"https://doi.org/10.1080/01431161.2024.2391081","url":null,"abstract":"Timely and accurate acquisition of cotton seedling information is crucial for seedling replenishment, yield increase, and effective cotton field management. This study proposes a cotton seedling re...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142203740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Phenol identification and mapping of rangeland species at laboratory and landscape scales using PRISMA hyperspectral data 利用 PRISMA 高光谱数据在实验室和景观尺度上对牧场物种进行酚类鉴定和绘图
IF 3.4 3区 地球科学
International Journal of Remote Sensing Pub Date : 2024-08-22 DOI: 10.1080/01431161.2024.2384101
Leila Ghorbani, Reza Jafari, Pooran Golkar, Mohsen Ahmadi, Alireza Allafchian
{"title":"Phenol identification and mapping of rangeland species at laboratory and landscape scales using PRISMA hyperspectral data","authors":"Leila Ghorbani, Reza Jafari, Pooran Golkar, Mohsen Ahmadi, Alireza Allafchian","doi":"10.1080/01431161.2024.2384101","DOIUrl":"https://doi.org/10.1080/01431161.2024.2384101","url":null,"abstract":"Secondary metabolites have high ecological and economic values. Measuring the amounts of these metabolites in plants through laboratory analysis is time-consuming and expensive. On the other hand, ...","PeriodicalId":14369,"journal":{"name":"International Journal of Remote Sensing","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142203762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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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