Large-scale projects,such as the construction of railways and highways,usually cause an extensive Land Use Land Cover Change(LULCC).The China-Central Asia-West Asia Economic Corridor(CCAWAEC),one key large-scale proje...Large-scale projects,such as the construction of railways and highways,usually cause an extensive Land Use Land Cover Change(LULCC).The China-Central Asia-West Asia Economic Corridor(CCAWAEC),one key large-scale project of the Belt and Road Initiative(BRI),covers a region that is home to more than 1.6 billion people.Although numerous studies have been conducted on strategies and the economic potential of the Economic Corridor,reviewing LULCC mapping studies in this area has not been studied.This study provides a comprehensive review of the recent research progress and discusses the challenges in LULCC monitoring and driving factors identifying in the study area.The review will be helpful for the decision-making of sustainable development and construction in the Economic Corridor.To this end,350 peer-reviewed journal and conference papers,as well as book chapters were analyzed based on 17 attributes,such as main driving factors of LULCC,data collection methods,classification algorithms,and accuracy assessment methods.It was observed that:(1)rapid urbanization,industrialization,population growth,and climate change have been recognized as major causes of LULCC in the study area;(2)LULCC has,directly and indirectly,caused several environmental issues,such as biodiversity loss,air pollution,water pollution,desertification,and land degradation;(3)there is a lack of well-annotated national land use data in the region;(4)there is a lack of reliable training and reference datasets to accurately study the long-term LULCC in most parts of the study area;and(5)several technical issues still require more attention from the scientific community.Finally,several recommendations were proposed to address the identified issues.展开更多
Mountains are undergoing widespread changes caused by human activities and climate change.Given the importance of mountains,the protection and sustainable development of mountain ecosys-tems have been listed as the go...Mountains are undergoing widespread changes caused by human activities and climate change.Given the importance of mountains,the protection and sustainable development of mountain ecosys-tems have been listed as the goals of the United Nations 2030 Sustainable Development Agenda.As one of the indicators,the Mountain Green Cover Index(MGCI)datasets can provide consis-tent and comparable status of green vegetation in mountainous areas,which can support the mapping of heterogeneous mountain ecosystem health and monitoring changes over time.The produc-tion of explicitly high-spatial-resolution MGCI datasets is therefore urgently needed to support the protection measures at subnational and multitemporal scales.In this paper,the MGCI datasets with 500-meter spatial resolutions,covering the economic corridors of the Belt and Road Initiative(BRI),were developed for 2010 to 2019 based on all available Landsat-8 data and the Google Earth Engine cloud computing platform.The validation of green vegeta-tion cover with the ground-truth samples indicated that the data-sets can achieve an overall accuracy of 94.06%,with well-detailed spatial and temporal variations.The archived datasets include the MGCI of each BRI economic corridor,matched to a geospatial layer denoting the economic corridor boundaries.The essential informa-tion of the datasets and their limitations,along with the production flow,were described in this paper.展开更多
The South Asia has high variability in geographical features,climate,andlandscapes.With the rapid economic development and population growth,the increased pressure on natural resources,land degradation,water crisis,an...The South Asia has high variability in geographical features,climate,andlandscapes.With the rapid economic development and population growth,the increased pressure on natural resources,land degradation,water crisis,and climate change become the common concerns forthe countries in the region.To get a deep and general idea about the land and water natural resources and environment in South Asia,a knowl-edge database was constructed based on the climatic condition,land use/cover,waterresources,water disasters,and geohazards.There sults presented a scientific insight regarding the spatio-temporal changing pattern of the eco-environ mental components in this region.Risk assessments were performed for the floods,droughts,and geohazards which occurred with a high frequency.In general,the big knowledge database established in this study would be helpful to aid the devel-opment of future policies and programs(like the Belt and Road Initiative)for environmental issues adaptation in the region,including initiatives for regional cooperation and capacity building in natural resources and environment management.展开更多
基金supported by the Big Earth Data Science Engineering Program of the Chinese Academy of Sciences Strategic Priority Research Program(XDA19090000 and XDA19030000)。
基金This research was jointly funded by the Strategic Priority Research Program of the Chinese Academy of Science(CAS)(XDA19030303)the National Natural Science Foundation of China(41631180,41701432,41571373)+1 种基金the Youth Innovation Promotion Association CAS(grant 2019365)the CAS-TWAS President’s Fellowship for International Doctoral Students.
文摘Large-scale projects,such as the construction of railways and highways,usually cause an extensive Land Use Land Cover Change(LULCC).The China-Central Asia-West Asia Economic Corridor(CCAWAEC),one key large-scale project of the Belt and Road Initiative(BRI),covers a region that is home to more than 1.6 billion people.Although numerous studies have been conducted on strategies and the economic potential of the Economic Corridor,reviewing LULCC mapping studies in this area has not been studied.This study provides a comprehensive review of the recent research progress and discusses the challenges in LULCC monitoring and driving factors identifying in the study area.The review will be helpful for the decision-making of sustainable development and construction in the Economic Corridor.To this end,350 peer-reviewed journal and conference papers,as well as book chapters were analyzed based on 17 attributes,such as main driving factors of LULCC,data collection methods,classification algorithms,and accuracy assessment methods.It was observed that:(1)rapid urbanization,industrialization,population growth,and climate change have been recognized as major causes of LULCC in the study area;(2)LULCC has,directly and indirectly,caused several environmental issues,such as biodiversity loss,air pollution,water pollution,desertification,and land degradation;(3)there is a lack of well-annotated national land use data in the region;(4)there is a lack of reliable training and reference datasets to accurately study the long-term LULCC in most parts of the study area;and(5)several technical issues still require more attention from the scientific community.Finally,several recommendations were proposed to address the identified issues.
基金was funded by the Strategic Priority Research Program of the Chinese Academy of Sciences(Grant number XDA19030303)the National Key Research and Development Program of China(No.2020YFA0608700)the Youth Innovation Promotion Association of CAS(Grant 2019365).
文摘Mountains are undergoing widespread changes caused by human activities and climate change.Given the importance of mountains,the protection and sustainable development of mountain ecosys-tems have been listed as the goals of the United Nations 2030 Sustainable Development Agenda.As one of the indicators,the Mountain Green Cover Index(MGCI)datasets can provide consis-tent and comparable status of green vegetation in mountainous areas,which can support the mapping of heterogeneous mountain ecosystem health and monitoring changes over time.The produc-tion of explicitly high-spatial-resolution MGCI datasets is therefore urgently needed to support the protection measures at subnational and multitemporal scales.In this paper,the MGCI datasets with 500-meter spatial resolutions,covering the economic corridors of the Belt and Road Initiative(BRI),were developed for 2010 to 2019 based on all available Landsat-8 data and the Google Earth Engine cloud computing platform.The validation of green vegeta-tion cover with the ground-truth samples indicated that the data-sets can achieve an overall accuracy of 94.06%,with well-detailed spatial and temporal variations.The archived datasets include the MGCI of each BRI economic corridor,matched to a geospatial layer denoting the economic corridor boundaries.The essential informa-tion of the datasets and their limitations,along with the production flow,were described in this paper.
基金This work was jointly supported by the Strategic Priority Research Program“Big Earth Data Science Engineering Project”(CASEarth)[No.XDA19030303]the Key Program(KZZD-EW-08-01)of Chinese Academy of Sciences,the International Cooperation Key Project of CAS[No.GJHZ201320]+2 种基金the National Natural Science Foundation of China[No.41631180]the 135 Strategic Program of the Institute of Mountain Hazards and Environment,CAS under Grant SDS-135-1708the Youth Innovation Promotion Association CAS[Grant 2016333].
文摘The South Asia has high variability in geographical features,climate,andlandscapes.With the rapid economic development and population growth,the increased pressure on natural resources,land degradation,water crisis,and climate change become the common concerns forthe countries in the region.To get a deep and general idea about the land and water natural resources and environment in South Asia,a knowl-edge database was constructed based on the climatic condition,land use/cover,waterresources,water disasters,and geohazards.There sults presented a scientific insight regarding the spatio-temporal changing pattern of the eco-environ mental components in this region.Risk assessments were performed for the floods,droughts,and geohazards which occurred with a high frequency.In general,the big knowledge database established in this study would be helpful to aid the devel-opment of future policies and programs(like the Belt and Road Initiative)for environmental issues adaptation in the region,including initiatives for regional cooperation and capacity building in natural resources and environment management.
