Studies on the retrieval of ocean surface current by Synthetic Aperture Radar (SAR) mainly concentrate on coastal regions with land coverage, allowing for continuous land to estimate non-geophysica...
{"title":"An investigation of inversion method to measure the radial velocity of Kuroshio from Sentinel-1 SAR data","authors":"Benhua Tan, Lihua Wang, Dechen Ge, Zhen Fang, Weiwei Sun, Tian Feng","doi":"10.1080/15481603.2024.2304956","DOIUrl":"https://doi.org/10.1080/15481603.2024.2304956","url":null,"abstract":"Studies on the retrieval of ocean surface current by Synthetic Aperture Radar (SAR) mainly concentrate on coastal regions with land coverage, allowing for continuous land to estimate non-geophysica...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"52 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139510739","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}
Accurately identifying tree species is crucial in digital forestry. Several airborne LiDAR-based classification frameworks have been proposed to facilitate work in this area, and they have achieved...
{"title":"Deeply supervised network for airborne LiDAR tree classification incorporating dual attention mechanisms","authors":"Zhenyu Zhang, Jian Wang, Yunze Wu, Youlong Zhao, Binjie Wu","doi":"10.1080/15481603.2024.2303866","DOIUrl":"https://doi.org/10.1080/15481603.2024.2303866","url":null,"abstract":"Accurately identifying tree species is crucial in digital forestry. Several airborne LiDAR-based classification frameworks have been proposed to facilitate work in this area, and they have achieved...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"32 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139489938","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 : 2024-01-16DOI: 10.1080/15481603.2024.2302221
Cecilia Parracciani, Daniela Gigante, Onisimo Mutanga, Stefania Bonafoni, Marco Vizzari
Understanding grassland habitat dynamics in space and time is crucial for evaluating the effectiveness of protection measures and developing sustainable management practices, specifically within th...
{"title":"Land cover changes in grassland landscapes: combining enhanced Landsat data composition, LandTrendr, and machine learning classification in google earth engine with MLP-ANN scenario forecasting","authors":"Cecilia Parracciani, Daniela Gigante, Onisimo Mutanga, Stefania Bonafoni, Marco Vizzari","doi":"10.1080/15481603.2024.2302221","DOIUrl":"https://doi.org/10.1080/15481603.2024.2302221","url":null,"abstract":"Understanding grassland habitat dynamics in space and time is crucial for evaluating the effectiveness of protection measures and developing sustainable management practices, specifically within th...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"85 1 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139474583","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 : 2024-01-16DOI: 10.1080/15481603.2024.2303868
Tsikai S. Chinembiri, Onisimo Mutanga, Timothy Dube
Modeling of environmental phenomena is usually confounded by the influence of multiple factors existing at different time and spatial scales. Bayesian modeling is presumed to be the best approach f...
{"title":"A multi-source data approach to carbon stock prediction using Bayesian hierarchical geostatistical models in plantation forest ecosystems","authors":"Tsikai S. Chinembiri, Onisimo Mutanga, Timothy Dube","doi":"10.1080/15481603.2024.2303868","DOIUrl":"https://doi.org/10.1080/15481603.2024.2303868","url":null,"abstract":"Modeling of environmental phenomena is usually confounded by the influence of multiple factors existing at different time and spatial scales. Bayesian modeling is presumed to be the best approach f...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"38 2 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139474588","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 : 2024-01-16DOI: 10.1080/15481603.2023.2297549
Kim Lowell, Yuri Rzhanov
The spatial structure of local uncertainty of shallow-water satellite-derived bathymetry (SDB) relative to model type, imagery, and geographical adaptability was examined for an area near Key West,...
{"title":"Global and local magnitude and spatial pattern of uncertainty from geographically adaptive empirical and machine learning satellite-derived bathymetry models","authors":"Kim Lowell, Yuri Rzhanov","doi":"10.1080/15481603.2023.2297549","DOIUrl":"https://doi.org/10.1080/15481603.2023.2297549","url":null,"abstract":"The spatial structure of local uncertainty of shallow-water satellite-derived bathymetry (SDB) relative to model type, imagery, and geographical adaptability was examined for an area near Key West,...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"12 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139489943","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}
Differences in human mobility reflect temporal variations and spatial differences in urban spaces, including regional functions, physical environments, and geographical sentiments. Accurately quant...
Pub Date : 2024-01-15DOI: 10.1080/15481603.2023.2300214
Xiaobang Liu, Shunlin Liang, Han Ma, Bing Li, Yufang Zhang, Yingying Li, Tao He, Guodong Zhang, Jianglei Xu, Changhao Xiong, Rui Ma, Wenfu Wu, Jiahua Teng
Forest dynamics provide important information on the ecological environment. The Three-North Shelter Forest Program (TNSFP) is one of the world’s largest reforestation/afforestation programs, howev...
{"title":"Landsat-observed changes in forest cover and attribution analysis over Northern China from 1996‒2020","authors":"Xiaobang Liu, Shunlin Liang, Han Ma, Bing Li, Yufang Zhang, Yingying Li, Tao He, Guodong Zhang, Jianglei Xu, Changhao Xiong, Rui Ma, Wenfu Wu, Jiahua Teng","doi":"10.1080/15481603.2023.2300214","DOIUrl":"https://doi.org/10.1080/15481603.2023.2300214","url":null,"abstract":"Forest dynamics provide important information on the ecological environment. The Three-North Shelter Forest Program (TNSFP) is one of the world’s largest reforestation/afforestation programs, howev...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"9 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139474587","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 : 2024-01-10DOI: 10.1080/15481603.2024.2302739
Geetha Priya M, Krishna Venkatesh
In this study, we investigated specific components and intra-seasonal dynamic processes that play pivotal roles in the East Antarctica’s central Dronning Maud Land (cDML) region. The present study ...
{"title":"Exploring the frozen frontier: unmanned aerial vehicles and multispectral sensors unveiling cryosphere dynamics in East Antarctica’s Dronning Maud Land","authors":"Geetha Priya M, Krishna Venkatesh","doi":"10.1080/15481603.2024.2302739","DOIUrl":"https://doi.org/10.1080/15481603.2024.2302739","url":null,"abstract":"In this study, we investigated specific components and intra-seasonal dynamic processes that play pivotal roles in the East Antarctica’s central Dronning Maud Land (cDML) region. The present study ...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"5 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139436816","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 : 2024-01-04DOI: 10.1080/15481603.2023.2300222
Xiaomin Liu, Tiantian Feng, Yushi Yang, Rongxing Li
Located at the easternmost sector of the Last Ice Area (LIA) with the oldest and thickest sea ice, the north of Greenland has witnessed some unprecedented polynyas since 2018, receiving considerabl...
{"title":"Characterization of north Greenland polynyas with super-resolved passive microwave sea ice concentration","authors":"Xiaomin Liu, Tiantian Feng, Yushi Yang, Rongxing Li","doi":"10.1080/15481603.2023.2300222","DOIUrl":"https://doi.org/10.1080/15481603.2023.2300222","url":null,"abstract":"Located at the easternmost sector of the Last Ice Area (LIA) with the oldest and thickest sea ice, the north of Greenland has witnessed some unprecedented polynyas since 2018, receiving considerabl...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"42 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139091745","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 : 2024-01-04DOI: 10.1080/15481603.2023.2301275
Jikai Zhao, Qiang Yu, Chenglong Xu, Jun Ma, Fei Wang
Watershed ecosystems play a crucial role in the global carbon cycle, and the feedback effects of carbon cycling will have significant implications for future climate change. Therefore, this study u...
{"title":"Analysis of spatio-temporal patterns of vegetation carbon use efficiency in watershed ecosystem and construction of ecological network: a case study of the Yangtze River Basin","authors":"Jikai Zhao, Qiang Yu, Chenglong Xu, Jun Ma, Fei Wang","doi":"10.1080/15481603.2023.2301275","DOIUrl":"https://doi.org/10.1080/15481603.2023.2301275","url":null,"abstract":"Watershed ecosystems play a crucial role in the global carbon cycle, and the feedback effects of carbon cycling will have significant implications for future climate change. Therefore, this study u...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"28 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139091747","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：