Pub Date : 2024-08-14DOI: 10.1080/10106049.2024.2390491
Xian Zhang, Shuang Hao, Yuhuan Cui, Han Zhang
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...
{"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":null,"pages":null},"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}
Pub Date : 2024-08-10DOI: 10.1080/10106049.2024.2387073
C. Scott Watson, Januka Gyawali, Maggie Creed, John R. Elliott
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...
{"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":null,"pages":null},"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}
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...
{"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":null,"pages":null},"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}
Pub Date : 2024-08-06DOI: 10.1080/10106049.2024.2387087
Philemon Tsele, Abel Ramoelo
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...
{"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":null,"pages":null},"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}
Pub Date : 2024-08-04DOI: 10.1080/10106049.2024.2384473
Xiaomi Wang, Qi Tang, Kang Yang
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...
{"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":null,"pages":null},"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}
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...
{"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":null,"pages":null},"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}
Pub Date : 2024-07-29DOI: 10.1080/10106049.2024.2382307
Shuang Lv, Liang Hong
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 ...
{"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":null,"pages":null},"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}
Pub Date : 2024-07-23DOI: 10.1080/10106049.2024.2381580
Ahmed Ali A. Shohan, Hoang Thi Hang, Ahmed Ali Bindajam, Mohammed J. Alshayeb, Javed Mallick, Hazem Ghassan Abdo
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...
{"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":null,"pages":null},"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}
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...
本研究旨在比较不同机器学习技术和参数技术在区分首都乌兰巴托高度混合的城市土地覆被类别方面的性能。
{"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":null,"pages":null},"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}
Transformer models boost building extraction accuracy by capturing global features from images. However, convolutional networks’ potential in local feature extraction remains underutilized in CNN +...
{"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":null,"pages":null},"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}
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