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Geocarto International最新文献

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Study on the response of ecological sensitivity to land use and land cover changes in Jinzhai, China 中国金寨生态敏感性对土地利用和土地覆被变化的响应研究
IF 3.8 4区 地球科学
Geocarto International Pub Date : 2024-08-14 DOI: 10.1080/10106049.2024.2390491
Xian Zhang, Shuang Hao, Yuhuan Cui, Han Zhang
{"title":"Study on the response of ecological sensitivity to land use and land cover changes in Jinzhai, China","authors":"Xian Zhang, Shuang Hao, Yuhuan Cui, Han Zhang","doi":"10.1080/10106049.2024.2390491","DOIUrl":"https://doi.org/10.1080/10106049.2024.2390491","url":null,"abstract":"Changes in land use types are often influenced by human activities, natural factors, and other factors. To explore the changes in land use types, in this paper, we focused on Jinzhai County in Anhu...","PeriodicalId":12532,"journal":{"name":"Geocarto International","volume":"34 1","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142175815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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
City-scale high-resolution flood models and the role of topographic data: a case study of Kathmandu, Nepal 城市尺度高分辨率洪水模型和地形数据的作用：尼泊尔加德满都案例研究
IF 3.8 4区 地球科学
Geocarto International Pub Date : 2024-08-10 DOI: 10.1080/10106049.2024.2387073
C. Scott Watson, Januka Gyawali, Maggie Creed, John R. Elliott
{"title":"City-scale high-resolution flood models and the role of topographic data: a case study of Kathmandu, Nepal","authors":"C. Scott Watson, Januka Gyawali, Maggie Creed, John R. Elliott","doi":"10.1080/10106049.2024.2387073","DOIUrl":"https://doi.org/10.1080/10106049.2024.2387073","url":null,"abstract":"Topographic data is a fundamental input to flood hazard models and controls the quality of the outputs. However, open-access global digital elevation models (DEMs) are dated and limited to 30 m res...","PeriodicalId":12532,"journal":{"name":"Geocarto International","volume":"77 1","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141932648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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
Cropping intensity mapping in Sentinel-2 and Landsat-8/9 remote sensing data using temporal transfer of a stacked ensemble machine learning model within google earth engine 利用谷歌地球引擎中的叠加集合机器学习模型的时间转移，绘制哨兵-2 和 Landsat-8/9 遥感数据中的种植强度图
IF 3.8 4区 地球科学
Geocarto International Pub Date : 2024-08-06 DOI: 10.1080/10106049.2024.2387786
Marziyeh Majnoun Hosseini, Mohammad Javad Valadan Zoej, Alireza Taheri Dehkordi, Ebrahim Ghaderpour
{"title":"Cropping intensity mapping in Sentinel-2 and Landsat-8/9 remote sensing data using temporal transfer of a stacked ensemble machine learning model within google earth engine","authors":"Marziyeh Majnoun Hosseini, Mohammad Javad Valadan Zoej, Alireza Taheri Dehkordi, Ebrahim Ghaderpour","doi":"10.1080/10106049.2024.2387786","DOIUrl":"https://doi.org/10.1080/10106049.2024.2387786","url":null,"abstract":"This article aimed to map Cropping Intensity Patterns (CIPs) in the southwest region of Iran using Google Earth Engine and monthly composites of Sentinel-2 and Landsat-8/9 data. To detect CIPs with...","PeriodicalId":12532,"journal":{"name":"Geocarto International","volume":"22 1","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141932658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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
Hybrid retrieval of grass biophysical variables based-on radiative transfer, active learning and regression methods using Sentinel-2 data in Marakele National Park 利用马拉凯尔国家公园哨兵-2 数据，基于辐射传递、主动学习和回归方法，混合检索草地生物物理变量
IF 3.8 4区 地球科学
Geocarto International Pub Date : 2024-08-06 DOI: 10.1080/10106049.2024.2387087
Philemon Tsele, Abel Ramoelo
{"title":"Hybrid retrieval of grass biophysical variables based-on radiative transfer, active learning and regression methods using Sentinel-2 data in Marakele National Park","authors":"Philemon Tsele, Abel Ramoelo","doi":"10.1080/10106049.2024.2387087","DOIUrl":"https://doi.org/10.1080/10106049.2024.2387087","url":null,"abstract":"Biophysical variables such as leaf area index (LAI) and leaf chlorophyll content (LCC) are cited as essential biodiversity variables. A comprehensive comparison and integration of retrieval methods...","PeriodicalId":12532,"journal":{"name":"Geocarto International","volume":"19 1","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141932649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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
Improving crop rotation classification using a random forest model incorporating spatial heterogeneity 利用包含空间异质性的随机森林模型改进轮作分类
IF 3.8 4区 地球科学
Geocarto International Pub Date : 2024-08-04 DOI: 10.1080/10106049.2024.2384473
Xiaomi Wang, Qi Tang, Kang Yang
{"title":"Improving crop rotation classification using a random forest model incorporating spatial heterogeneity","authors":"Xiaomi Wang, Qi Tang, Kang Yang","doi":"10.1080/10106049.2024.2384473","DOIUrl":"https://doi.org/10.1080/10106049.2024.2384473","url":null,"abstract":"Accurate and timely classification of crop rotations is essential to confront the issues of agricultural management and food crisis. Crop growth conditions generally exhibit a strong spatial hetero...","PeriodicalId":12532,"journal":{"name":"Geocarto International","volume":"17 1","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141932589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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 soil organic carbon in northern France using adaptive zoning regression kriging based on LUCAS dataset 利用基于 LUCAS 数据集的自适应分区回归克里金法绘制法国北部土壤有机碳地图
IF 3.8 4区 地球科学
Geocarto International Pub Date : 2024-07-31 DOI: 10.1080/10106049.2024.2379842
Xiaomi Wang, Jiuhong Liu, Yiyun Chen, Leilei Liu, Zihao Wu
{"title":"Mapping soil organic carbon in northern France using adaptive zoning regression kriging based on LUCAS dataset","authors":"Xiaomi Wang, Jiuhong Liu, Yiyun Chen, Leilei Liu, Zihao Wu","doi":"10.1080/10106049.2024.2379842","DOIUrl":"https://doi.org/10.1080/10106049.2024.2379842","url":null,"abstract":"To improve the accuracy of soil organic carbon (SOC) mapping, an adaptive zoning regression kriging (AZ_RK) framework was proposed, which simultaneously considers spatial heterogeneity and the infl...","PeriodicalId":12532,"journal":{"name":"Geocarto International","volume":"19 1","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141932673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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
Extraction of Hani terraces based on Sentinel-2 and GF-2 images in Honghe prefecture, Yunnan province 基于云南省红河州哨兵-2 和 GF-2 图像的哈尼梯田提取
IF 3.8 4区 地球科学
Geocarto International Pub Date : 2024-07-29 DOI: 10.1080/10106049.2024.2382307
Shuang Lv, Liang Hong
{"title":"Extraction of Hani terraces based on Sentinel-2 and GF-2 images in Honghe prefecture, Yunnan province","authors":"Shuang Lv, Liang Hong","doi":"10.1080/10106049.2024.2382307","DOIUrl":"https://doi.org/10.1080/10106049.2024.2382307","url":null,"abstract":"Monitoring Hani terraces quickly and accurately using remote sensing technology is crucial for the protecting World Cultural Heritage Sites. However, single remote sensing image is affected by the ...","PeriodicalId":12532,"journal":{"name":"Geocarto International","volume":"7 1","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142175796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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
Integrating random forest and morphological spatial pattern analysis for predicting future land surface temperature dynamics: insights from urbanizing Saudi Arabia 集成随机森林和形态空间模式分析预测未来地表温度动态：沙特阿拉伯城市化的启示
IF 3.8 4区 地球科学
Geocarto International Pub Date : 2024-07-23 DOI: 10.1080/10106049.2024.2381580
Ahmed Ali A. Shohan, Hoang Thi Hang, Ahmed Ali Bindajam, Mohammed J. Alshayeb, Javed Mallick, Hazem Ghassan Abdo
{"title":"Integrating random forest and morphological spatial pattern analysis for predicting future land surface temperature dynamics: insights from urbanizing Saudi Arabia","authors":"Ahmed Ali A. Shohan, Hoang Thi Hang, Ahmed Ali Bindajam, Mohammed J. Alshayeb, Javed Mallick, Hazem Ghassan Abdo","doi":"10.1080/10106049.2024.2381580","DOIUrl":"https://doi.org/10.1080/10106049.2024.2381580","url":null,"abstract":"In the face of rapid urbanization in Saudi Arabia, understanding the impact of landscape changes on land surface temperature (LST) is crucial for sustainable urban planning. This study assesses the...","PeriodicalId":12532,"journal":{"name":"Geocarto International","volume":"17 1","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141773360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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
Comparison of machine learning and parametric methods for the discrimination of urban land cover types 机器学习和参数方法在城市土地覆被类型判别方面的比较
IF 3.8 4区 地球科学
Geocarto International Pub Date : 2024-07-22 DOI: 10.1080/10106049.2024.2380372
Enkhmanlai Amarsaikhan, Damdin Enkhjargal, Enkhtuya Jargaldalai, Damdinsuren Amarsaikhan
{"title":"Comparison of machine learning and parametric methods for the discrimination of urban land cover types","authors":"Enkhmanlai Amarsaikhan, Damdin Enkhjargal, Enkhtuya Jargaldalai, Damdinsuren Amarsaikhan","doi":"10.1080/10106049.2024.2380372","DOIUrl":"https://doi.org/10.1080/10106049.2024.2380372","url":null,"abstract":"The aim of this study is to compare the performances of different machine learning and parametric techniques for differentiating highly mixed urban land cover classes in Ulaanbaatar, the capital ci...","PeriodicalId":12532,"journal":{"name":"Geocarto International","volume":"37 1 1","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141745586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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
An effective dual encoder network with a feature attention large kernel for building extraction 一种有效的双编码器网络，具有用于建筑物提取的特征关注大内核
IF 3.8 4区 地球科学
Geocarto International Pub Date : 2024-07-18 DOI: 10.1080/10106049.2024.2375572
Shaobo Qiu, Jingchun Zhou, Yuan Liu, Xiangrui Meng
{"title":"An effective dual encoder network with a feature attention large kernel for building extraction","authors":"Shaobo Qiu, Jingchun Zhou, Yuan Liu, Xiangrui Meng","doi":"10.1080/10106049.2024.2375572","DOIUrl":"https://doi.org/10.1080/10106049.2024.2375572","url":null,"abstract":"Transformer models boost building extraction accuracy by capturing global features from images. However, convolutional networks’ potential in local feature extraction remains underutilized in CNN +...","PeriodicalId":12532,"journal":{"name":"Geocarto International","volume":"39 1","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141737424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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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