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GIScience & Remote Sensing最新文献

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Trends, turning points, and driving forces of desertification in global arid land based on the segmental trend method and SHAP model 基于分段趋势法和 SHAP 模型的全球干旱地区荒漠化趋势、转折点和驱动力
IF 6.7 2区 地球科学
GIScience & Remote Sensing Pub Date : 2024-06-18 DOI: 10.1080/15481603.2024.2367806
Xiaoyu Meng, Shengyu Li, Khaulenbek Akhmadi, Panxing He, Guanpeng Dong
{"title":"Trends, turning points, and driving forces of desertification in global arid land based on the segmental trend method and SHAP model","authors":"Xiaoyu Meng, Shengyu Li, Khaulenbek Akhmadi, Panxing He, Guanpeng Dong","doi":"10.1080/15481603.2024.2367806","DOIUrl":"https://doi.org/10.1080/15481603.2024.2367806","url":null,"abstract":"Desertification is a form of land degradation observed in arid, semiarid, and dry subhumid ecosystems. Assessing the global trends and drivers of desertification in arid land is crucial for develop...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141462534","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
Multivariate analysis of land surface dynamics in Central Asia: patterns of trends and drivers under a changing climate 中亚地表动态多变量分析：气候变化下的趋势和驱动因素模式
IF 6.7 2区 地球科学
GIScience & Remote Sensing Pub Date : 2024-06-17 DOI: 10.1080/15481603.2024.2364461
Soner Uereyen, Igor Klein, Christina Eisfelder, Claudia Kuenzer
{"title":"Multivariate analysis of land surface dynamics in Central Asia: patterns of trends and drivers under a changing climate","authors":"Soner Uereyen, Igor Klein, Christina Eisfelder, Claudia Kuenzer","doi":"10.1080/15481603.2024.2364461","DOIUrl":"https://doi.org/10.1080/15481603.2024.2364461","url":null,"abstract":"With temperatures in Central Asia (CA) increasing more than the global average, this region is one of the global hotspots affected by climate change. CA is mostly characterized by arid climate, whi...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141462546","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
NDVI estimation using Sentinel-1 data over wheat fields in a semiarid Mediterranean region 利用 Sentinel-1 数据对地中海半干旱地区麦田的 NDVI 进行估算
IF 6.7 2区 地球科学
GIScience & Remote Sensing Pub Date : 2024-05-27 DOI: 10.1080/15481603.2024.2357878
Emna Ayari, Zeineb Kassouk, Zohra Lili-Chabaane, Nadia Ouaadi, Nicolas Baghdadi, Mehrez Zribi
{"title":"NDVI estimation using Sentinel-1 data over wheat fields in a semiarid Mediterranean region","authors":"Emna Ayari, Zeineb Kassouk, Zohra Lili-Chabaane, Nadia Ouaadi, Nicolas Baghdadi, Mehrez Zribi","doi":"10.1080/15481603.2024.2357878","DOIUrl":"https://doi.org/10.1080/15481603.2024.2357878","url":null,"abstract":"Annual crop monitoring is a key parameter for managing agricultural strategies. Several studies have relied on remote sensing products such as the normalized difference vegetation index (NDVI) as a...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141509676","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
Spatiotemporal dynamics of urban sprawl in China from 2000 to 2020 2000 至 2020 年中国城市扩张的时空动态变化
IF 6.7 2区 地球科学
GIScience & Remote Sensing Pub Date : 2024-05-10 DOI: 10.1080/15481603.2024.2351262
Yiming Hou, Qingxu Huang, Qiang Ren, Tianci Gu, Yihan Zhou, Pengxin Wu, Yuxiang Fan, Guoliang Zhu
{"title":"Spatiotemporal dynamics of urban sprawl in China from 2000 to 2020","authors":"Yiming Hou, Qingxu Huang, Qiang Ren, Tianci Gu, Yihan Zhou, Pengxin Wu, Yuxiang Fan, Guoliang Zhu","doi":"10.1080/15481603.2024.2351262","DOIUrl":"https://doi.org/10.1080/15481603.2024.2351262","url":null,"abstract":"Accurately and timely quantifying the dynamics of urban sprawl is essential for improving land use efficiency and land use planning. However, existing research mainly focused on the sprawl of a sin...","PeriodicalId":55091,"journal":{"name":"GIScience & Remote Sensing","volume":null,"pages":null},"PeriodicalIF":6.7,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140902940","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
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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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
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