Pub Date : 2024-03-25DOI: 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
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...
{"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":"180 1","pages":""},"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}
Pub Date : 2024-03-20DOI: 10.1080/15481603.2024.2331861
Seula Park, Youngmin Lee, Kiyun Yu
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...
{"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":"120 1","pages":""},"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}
Pub Date : 2024-03-15DOI: 10.1080/15481603.2024.2326702
Ren Liu, Xinming Tang, Junfeng Xie, Rujia Ma, Fan Mo, Xiaomeng Yang
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...
{"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":"36 1","pages":""},"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}
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...
Pub Date : 2024-03-13DOI: 10.1080/15481603.2024.2327146
Fei Xing, Ru An, Xulin Guo, Xiaoji Shen
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...
{"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":"140 1","pages":""},"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}
Pub Date : 2024-03-11DOI: 10.1080/15481603.2024.2325720
Minki Choo, Yejin Kim, Juhyun Lee, Jungho Im, Il-Ju Moon
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...
{"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":"8 1","pages":""},"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}
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...
{"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":"71 1","pages":""},"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}
Pub Date : 2024-03-05DOI: 10.1080/15481603.2024.2324553
Yerin Yun, Jinha Jung, Youkyung Han
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...
{"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":"13 1","pages":""},"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}
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...
{"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":"201 1","pages":""},"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}
Pub Date : 2024-02-23DOI: 10.1080/15481603.2024.2319939
Xianyu Guo, Junjun Yin, Jian Yang
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...
{"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":"38 1","pages":""},"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}
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