利用卫星图像跟踪哈萨克斯坦阿斯塔纳绿化带的发展:人工林业发展的遥感视角

IF 3.8 Q2 ENVIRONMENTAL SCIENCES
Erin Driscoll , Jorge Portugues Fernandez del Castillo , Dana Bazarkulova , Daniel Hicks , Kirsten de Beurs
{"title":"利用卫星图像跟踪哈萨克斯坦阿斯塔纳绿化带的发展:人工林业发展的遥感视角","authors":"Erin Driscoll ,&nbsp;Jorge Portugues Fernandez del Castillo ,&nbsp;Dana Bazarkulova ,&nbsp;Daniel Hicks ,&nbsp;Kirsten de Beurs","doi":"10.1016/j.rsase.2025.101543","DOIUrl":null,"url":null,"abstract":"<div><div>The Astana green belt is an artificial forestry project initiated in 1999 to mitigate harsh climatic conditions and improve the local microclimate around Kazakhstan's capital. As part of the master plan of Astana, fields, or “patches” of green belt tree rows were designated for development around the periphery of the city. Using remote sensing techniques, we tracked the spatial and temporal development of the green belt patches over time, from initiation of the forestry efforts until present day. Simultaneously, we assess the effectiveness of these methods in capturing large-scale planned urban forest dynamics and explore how remote sensing can enhance our understanding of the long-term development and management practices of such projects. A temporal segmentation method was applied to identify initial forestry development in each green belt patch. Our findings show continuous planting efforts throughout the study period, resulting in significant greenery expansion. The spatial design was strategic, beginning with a central ring near the city and expanding outward, with planting directions of the tree rows optimized to counter prevailing winds and enhance windbreak functionality. No major areas of vegetation failures were observed. Notably, the current green belt has exceeded the boundaries outlined in the original master plan, indicating a broader scope of development. A preliminary investigation of winter land surface temperature (LST) change in the study area shows overall warming, with more pronounced temperature increases in some of the densely clustered plantations within the green belt.</div></div>","PeriodicalId":53227,"journal":{"name":"Remote Sensing Applications-Society and Environment","volume":"38 ","pages":"Article 101543"},"PeriodicalIF":3.8000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using satellite imagery to track the development of the green belt of Astana, Kazakhstan: A remote sensing perspective on artificial forestry development\",\"authors\":\"Erin Driscoll ,&nbsp;Jorge Portugues Fernandez del Castillo ,&nbsp;Dana Bazarkulova ,&nbsp;Daniel Hicks ,&nbsp;Kirsten de Beurs\",\"doi\":\"10.1016/j.rsase.2025.101543\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The Astana green belt is an artificial forestry project initiated in 1999 to mitigate harsh climatic conditions and improve the local microclimate around Kazakhstan's capital. As part of the master plan of Astana, fields, or “patches” of green belt tree rows were designated for development around the periphery of the city. Using remote sensing techniques, we tracked the spatial and temporal development of the green belt patches over time, from initiation of the forestry efforts until present day. Simultaneously, we assess the effectiveness of these methods in capturing large-scale planned urban forest dynamics and explore how remote sensing can enhance our understanding of the long-term development and management practices of such projects. A temporal segmentation method was applied to identify initial forestry development in each green belt patch. Our findings show continuous planting efforts throughout the study period, resulting in significant greenery expansion. The spatial design was strategic, beginning with a central ring near the city and expanding outward, with planting directions of the tree rows optimized to counter prevailing winds and enhance windbreak functionality. No major areas of vegetation failures were observed. Notably, the current green belt has exceeded the boundaries outlined in the original master plan, indicating a broader scope of development. A preliminary investigation of winter land surface temperature (LST) change in the study area shows overall warming, with more pronounced temperature increases in some of the densely clustered plantations within the green belt.</div></div>\",\"PeriodicalId\":53227,\"journal\":{\"name\":\"Remote Sensing Applications-Society and Environment\",\"volume\":\"38 \",\"pages\":\"Article 101543\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2025-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Remote Sensing Applications-Society and Environment\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352938525000965\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Remote Sensing Applications-Society and Environment","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352938525000965","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

阿斯塔纳绿化带是 1999 年启动的一个人工林项目,旨在缓解哈萨克斯坦首都周边恶劣的气候条件,改善当地的小气候。作为阿斯塔纳总体规划的一部分,城市外围被指定为绿化带树行发展区或 "片区"。利用遥感技术,我们跟踪了绿化带斑块从林业工作启动至今的时空发展情况。同时,我们还评估了这些方法在捕捉大规模规划的城市森林动态方面的有效性,并探讨了遥感技术如何增强我们对此类项目的长期发展和管理实践的理解。我们采用了一种时间分割方法来确定每个绿化带片区最初的林业发展情况。我们的研究结果表明,在整个研究期间,植树造林工作持续进行,绿化面积显著扩大。空间设计是战略性的,从靠近城市的中心环开始向外扩展,树行的种植方向经过优化,以抵御盛行风并增强防风功能。没有发现植被严重衰退的区域。值得注意的是,目前的绿化带已经超出了最初总体规划中划定的范围,这表明绿化带的发展范围更广。对研究区域冬季地表温度(LST)变化的初步调查显示,该区域整体变暖,绿化带内一些密集种植园的温度上升更为明显。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Using satellite imagery to track the development of the green belt of Astana, Kazakhstan: A remote sensing perspective on artificial forestry development

Using satellite imagery to track the development of the green belt of Astana, Kazakhstan: A remote sensing perspective on artificial forestry development
The Astana green belt is an artificial forestry project initiated in 1999 to mitigate harsh climatic conditions and improve the local microclimate around Kazakhstan's capital. As part of the master plan of Astana, fields, or “patches” of green belt tree rows were designated for development around the periphery of the city. Using remote sensing techniques, we tracked the spatial and temporal development of the green belt patches over time, from initiation of the forestry efforts until present day. Simultaneously, we assess the effectiveness of these methods in capturing large-scale planned urban forest dynamics and explore how remote sensing can enhance our understanding of the long-term development and management practices of such projects. A temporal segmentation method was applied to identify initial forestry development in each green belt patch. Our findings show continuous planting efforts throughout the study period, resulting in significant greenery expansion. The spatial design was strategic, beginning with a central ring near the city and expanding outward, with planting directions of the tree rows optimized to counter prevailing winds and enhance windbreak functionality. No major areas of vegetation failures were observed. Notably, the current green belt has exceeded the boundaries outlined in the original master plan, indicating a broader scope of development. A preliminary investigation of winter land surface temperature (LST) change in the study area shows overall warming, with more pronounced temperature increases in some of the densely clustered plantations within the green belt.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
8.00
自引率
8.50%
发文量
204
审稿时长
65 days
期刊介绍: The journal ''Remote Sensing Applications: Society and Environment'' (RSASE) focuses on remote sensing studies that address specific topics with an emphasis on environmental and societal issues - regional / local studies with global significance. Subjects are encouraged to have an interdisciplinary approach and include, but are not limited by: " -Global and climate change studies addressing the impact of increasing concentrations of greenhouse gases, CO2 emission, carbon balance and carbon mitigation, energy system on social and environmental systems -Ecological and environmental issues including biodiversity, ecosystem dynamics, land degradation, atmospheric and water pollution, urban footprint, ecosystem management and natural hazards (e.g. earthquakes, typhoons, floods, landslides) -Natural resource studies including land-use in general, biomass estimation, forests, agricultural land, plantation, soils, coral reefs, wetland and water resources -Agriculture, food production systems and food security outcomes -Socio-economic issues including urban systems, urban growth, public health, epidemics, land-use transition and land use conflicts -Oceanography and coastal zone studies, including sea level rise projections, coastlines changes and the ocean-land interface -Regional challenges for remote sensing application techniques, monitoring and analysis, such as cloud screening and atmospheric correction for tropical regions -Interdisciplinary studies combining remote sensing, household survey data, field measurements and models to address environmental, societal and sustainability issues -Quantitative and qualitative analysis that documents the impact of using remote sensing studies in social, political, environmental or economic systems
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信