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GIScience & Remote Sensing最新文献

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Wildlife detection, counting and survey using satellite imagery: are we there yet? 利用卫星图像进行野生动物探测、计数和调查：我们做到了吗？
IF 6.7 2区 地球科学
GIScience & Remote Sensing Pub Date : 2024-05-09 DOI: 10.1080/15481603.2024.2348863
Alexandre Delplanque, Jérôme Théau, Samuel Foucher, Ghazaleh Serati, Simon Durand, Philippe Lejeune
{"title":"Wildlife detection, counting and survey using satellite imagery: are we there yet?","authors":"Alexandre Delplanque, Jérôme Théau, Samuel Foucher, Ghazaleh Serati, Simon Durand, Philippe Lejeune","doi":"10.1080/15481603.2024.2348863","DOIUrl":"https://doi.org/10.1080/15481603.2024.2348863","url":null,"abstract":"Wildlife surveys are key to assessing the health of global biodiversity. Traditional field and aerial methods however have significant limitations, including high costs, substantial time investment...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"85 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140895365","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
Co-occurrence and abundance of pollinators and pests in horticultural systems in Africa using an integrated Earth observation-based approach 利用基于地球观测的综合方法研究非洲园艺系统中传粉媒介和害虫的共存情况和丰度
IF 6.7 2区 地球科学
GIScience & Remote Sensing Pub Date : 2024-05-09 DOI: 10.1080/15481603.2024.2347068
Grace Rebecca Aduvukha, Elfatih M. Abdel-Rahman, Bester Tawona Mudereri, Arthur W. Sichangi, Godfrey Ouma Makokha, H. Michael G. Lattorff, Samira A. Mohamed, Tobias Landmann, Henri E. Z. Tonnang, Thomas Dubois
{"title":"Co-occurrence and abundance of pollinators and pests in horticultural systems in Africa using an integrated Earth observation-based approach","authors":"Grace Rebecca Aduvukha, Elfatih M. Abdel-Rahman, Bester Tawona Mudereri, Arthur W. Sichangi, Godfrey Ouma Makokha, H. Michael G. Lattorff, Samira A. Mohamed, Tobias Landmann, Henri E. Z. Tonnang, Thomas Dubois","doi":"10.1080/15481603.2024.2347068","DOIUrl":"https://doi.org/10.1080/15481603.2024.2347068","url":null,"abstract":"Flower-visiting insects that are pollinators play a critical role in promoting biodiversity in agroecosystems and agricultural food production through their pollination ecosystem service. However, ...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"67 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140903053","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
Global de-trending significantly improves the accuracy of XGBoost-based county-level maize and soybean yield prediction in the Midwestern United States 全球去趋势显著提高了基于 XGBoost 的美国中西部县级玉米和大豆产量预测的准确性
IF 6.7 2区 地球科学
GIScience & Remote Sensing Pub Date : 2024-05-09 DOI: 10.1080/15481603.2024.2349341
Yuanchao Li, Hongwei Zeng, Miao Zhang, Bingfang Wu, Xingli Qin
{"title":"Global de-trending significantly improves the accuracy of XGBoost-based county-level maize and soybean yield prediction in the Midwestern United States","authors":"Yuanchao Li, Hongwei Zeng, Miao Zhang, Bingfang Wu, Xingli Qin","doi":"10.1080/15481603.2024.2349341","DOIUrl":"https://doi.org/10.1080/15481603.2024.2349341","url":null,"abstract":"The application of machine learning in crop yield prediction has gained considerable traction, yet uncertainties persist regarding the impact of the yield trends on these predictions and the differ...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"20 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140902942","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
Asymmetric warming has different impacts on vegetation growth across various vegetation types on the Tibetan Plateau 非对称变暖对青藏高原各种植被类型的植被生长产生不同影响
IF 6.7 2区 地球科学
GIScience & Remote Sensing Pub Date : 2024-05-07 DOI: 10.1080/15481603.2024.2348257
Jinxia Lv, Wenwu Zhao, Bin He, Guanghui Jiang
{"title":"Asymmetric warming has different impacts on vegetation growth across various vegetation types on the Tibetan Plateau","authors":"Jinxia Lv, Wenwu Zhao, Bin He, Guanghui Jiang","doi":"10.1080/15481603.2024.2348257","DOIUrl":"https://doi.org/10.1080/15481603.2024.2348257","url":null,"abstract":"Global warming could affect vegetation growth, while land surface temperature has exhibited an asymmetric warming pattern over the past 50 years. The Tibetan Plateau, known as “the roof of the worl...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"32 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140895335","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
The potential of optical and SAR time-series data for the improvement of aboveground biomass carbon estimation in Southwestern China’s evergreen coniferous forests 光学和合成孔径雷达时间序列数据在改进中国西南常绿针叶林地上生物量碳估算中的潜力
IF 6.7 2区 地球科学
GIScience & Remote Sensing Pub Date : 2024-04-26 DOI: 10.1080/15481603.2024.2345438
Yiru Zhang, Binbin He, Rui Chen, Hongguo Zhang, Chunquan Fan, Jianpeng Yin, Yanxi Li
{"title":"The potential of optical and SAR time-series data for the improvement of aboveground biomass carbon estimation in Southwestern China’s evergreen coniferous forests","authors":"Yiru Zhang, Binbin He, Rui Chen, Hongguo Zhang, Chunquan Fan, Jianpeng Yin, Yanxi Li","doi":"10.1080/15481603.2024.2345438","DOIUrl":"https://doi.org/10.1080/15481603.2024.2345438","url":null,"abstract":"Accurate assessments of forest biomass carbon are invaluable for managing forest resources, evaluating effects on ecological protection, and achieving goals related to climate change and sustainabl...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"42 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141524210","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
Comprehensive assessment of Spatiotemporal fusion methods in inland water monitoring 全面评估内陆水域监测中的时空融合方法
IF 6.7 2区 地球科学
GIScience & Remote Sensing Pub Date : 2024-04-19 DOI: 10.1080/15481603.2024.2343200
Qiang Xu, Yulong Guo, Weiqiang Chen, Guangxing Ji, Lingfei Shi, Yuan Li, Zhubin Zheng, Chengzhi Sun, Huimin Zhu
{"title":"Comprehensive assessment of Spatiotemporal fusion methods in inland water monitoring","authors":"Qiang Xu, Yulong Guo, Weiqiang Chen, Guangxing Ji, Lingfei Shi, Yuan Li, Zhubin Zheng, Chengzhi Sun, Huimin Zhu","doi":"10.1080/15481603.2024.2343200","DOIUrl":"https://doi.org/10.1080/15481603.2024.2343200","url":null,"abstract":"Monitoring rapidly changing inland water bodies using remote sensing requires a temporal resolution of at least 3 days and a spatial resolution of at least 30 meters. However, the current satellite...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":"218 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140620584","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 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":"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}
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":"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}
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":"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}
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":"09 1","pages":""},"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
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