Soil moisture plays an important role in crop yield estimation,irrigation management,etc.Remote sensing technology has potential for large-scale and high spatial soil moisture mapping.However,offline remote sensing da...Soil moisture plays an important role in crop yield estimation,irrigation management,etc.Remote sensing technology has potential for large-scale and high spatial soil moisture mapping.However,offline remote sensing data processing is time-consuming and resource-intensive,and significantly hampers the efficiency and timeliness of soil moisture mapping.Due to the high-speed computing capabilities of remote sensing cloud platforms,a High Spatial Resolution Soil Moisture Estimation Framework(HSRSMEF)based on the Google Earth Engine(GEE)platform was developed in this study.The functions of the HSRSMEF include research area and input datasets customization,radar speckle noise filtering,optical-radar image spatio-temporal matching,soil moisture retrieving,soil moisture visualization and exporting.This paper tested the performance of HSRSMEF by combining Sentinel-1,Sentinel-2 images and insitu soil moisture data in the central farmland area of Jilin Province,China.Reconstructed Normalized Difference Vegetation Index(NDVI)based on the Savitzky-Golay algorithm conforms to the crop growth cycle,and its correlation with the original NDVI is about 0.99(P<0.001).The soil moisture accuracy of the random forest model(R 2=0.942,RMSE=0.013 m3/m3)is better than that of the water cloud model(R 2=0.334,RMSE=0.091 m3/m3).HSRSMEF transfers time-consuming offline operations to cloud computing platforms,achieving rapid and simplified high spatial resolution soil moisture mapping.展开更多
In times of highest necessities for United Nations Sustainable Development Goals(SDGs)and acknowledging planetary boundaries,the need for understanding general global goals and regional to local strategic governing st...In times of highest necessities for United Nations Sustainable Development Goals(SDGs)and acknowledging planetary boundaries,the need for understanding general global goals and regional to local strategic governing structures has to be supported while combining assessment,monitoring,governance approaches,together with landscape planning,land use based approaches,land system and sustainability science.The initial research embeds an incrementally worked out theoretical framework followed by applied research parts.The case studies and field data in the German Lusatia Region and inner part Spree Forest Region inhabit intrinsic drivers of finding ways over bridging deficiencies of theoretical and applied adjusted objectives and in this small excerpt mainly about the scale and planning level,instrumental flexibility deficiencies while transmitting global transformation needs to the regional,local planning level and backward(counter-current principle).Innovative instrumental assessment structures were created with a new approach of spatially determining SDGs for accelerated Climate Smart Planning(CSP)and Integrated Drought and Water Management(IDWM).This research supports processes around acceleration and assessment of climate change-,crises-related and sustainable development options while enhancing interdisciplinary sustainability science for gaining more regional land resilience.展开更多
Maritime spatial planning is considered a key instrument for the success of integrated maritime policy. MSP is therefore an integrated approach to address the conflicting and competing uses of ocean resources and spac...Maritime spatial planning is considered a key instrument for the success of integrated maritime policy. MSP is therefore an integrated approach to address the conflicting and competing uses of ocean resources and spaces in order to achieve the sustainable development of seas. This paper aims to access how governance models have been evolving with the implementation of MSP in Europe. The study compares institutional and legal frameworks in a North-South context, based on the case studies of Norway, Netherlands, England, Germany and Portugal and concludes that, although there are similarities in the legal frameworks developed to implement MSP, more profound differences arise on marine governance models and institutional frameworks, reflecting different political approaches and regional contexts.展开更多
基金Under the auspices of National Key Research and Development Project of China(No.2021YFD1500103)Strategic Priority Research Program of the Chinese Academy of Sciences(No.XDA28100500)+2 种基金National Natural Science Foundation of China(No.4197132)Science and Technology Development Plan Project of Jilin Province(No.20210201044GX)Land Observation Satellite Supporting Platform of National Civil Space Infrastructure Project(No.CASPLOS-CCSI)。
文摘Soil moisture plays an important role in crop yield estimation,irrigation management,etc.Remote sensing technology has potential for large-scale and high spatial soil moisture mapping.However,offline remote sensing data processing is time-consuming and resource-intensive,and significantly hampers the efficiency and timeliness of soil moisture mapping.Due to the high-speed computing capabilities of remote sensing cloud platforms,a High Spatial Resolution Soil Moisture Estimation Framework(HSRSMEF)based on the Google Earth Engine(GEE)platform was developed in this study.The functions of the HSRSMEF include research area and input datasets customization,radar speckle noise filtering,optical-radar image spatio-temporal matching,soil moisture retrieving,soil moisture visualization and exporting.This paper tested the performance of HSRSMEF by combining Sentinel-1,Sentinel-2 images and insitu soil moisture data in the central farmland area of Jilin Province,China.Reconstructed Normalized Difference Vegetation Index(NDVI)based on the Savitzky-Golay algorithm conforms to the crop growth cycle,and its correlation with the original NDVI is about 0.99(P<0.001).The soil moisture accuracy of the random forest model(R 2=0.942,RMSE=0.013 m3/m3)is better than that of the water cloud model(R 2=0.334,RMSE=0.091 m3/m3).HSRSMEF transfers time-consuming offline operations to cloud computing platforms,achieving rapid and simplified high spatial resolution soil moisture mapping.
文摘In times of highest necessities for United Nations Sustainable Development Goals(SDGs)and acknowledging planetary boundaries,the need for understanding general global goals and regional to local strategic governing structures has to be supported while combining assessment,monitoring,governance approaches,together with landscape planning,land use based approaches,land system and sustainability science.The initial research embeds an incrementally worked out theoretical framework followed by applied research parts.The case studies and field data in the German Lusatia Region and inner part Spree Forest Region inhabit intrinsic drivers of finding ways over bridging deficiencies of theoretical and applied adjusted objectives and in this small excerpt mainly about the scale and planning level,instrumental flexibility deficiencies while transmitting global transformation needs to the regional,local planning level and backward(counter-current principle).Innovative instrumental assessment structures were created with a new approach of spatially determining SDGs for accelerated Climate Smart Planning(CSP)and Integrated Drought and Water Management(IDWM).This research supports processes around acceleration and assessment of climate change-,crises-related and sustainable development options while enhancing interdisciplinary sustainability science for gaining more regional land resilience.
文摘Maritime spatial planning is considered a key instrument for the success of integrated maritime policy. MSP is therefore an integrated approach to address the conflicting and competing uses of ocean resources and spaces in order to achieve the sustainable development of seas. This paper aims to access how governance models have been evolving with the implementation of MSP in Europe. The study compares institutional and legal frameworks in a North-South context, based on the case studies of Norway, Netherlands, England, Germany and Portugal and concludes that, although there are similarities in the legal frameworks developed to implement MSP, more profound differences arise on marine governance models and institutional frameworks, reflecting different political approaches and regional contexts.
