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Overlooked uneven progress across sustainable development goals at the global scale: Challenges and opportunities

The Innovation 2024年第2期5卷 42-50页

作者： Yali Liu Jianqing Du Yanfen Wang Xiaoyong Cui Jichang Dong Pan Gu Yanbin Hao Kai Xue Hongbo Duan Anquan Xia Yi Hu Zhi Dong bingfang wu Jüurgen P.Kropp Bojie Fu School of Grassland Science Beijing Forestry UniversityBeijing 100083China Beijing Yanshan Earth Critical Zone National Research Station University of Chinese Academy of SciencesBeijing 101408China College of Resources and Environment University of Chinese Academy of SciencesBeijing 100049China State Key Laboratory of Tibetan Plateau Earth System Environment and ResourcesChinese Academy of SciencesBeijing 100101China College of Life Sciences University of Chinese Academy of SciencesBeijing 100049China School of Economics and Management University of Chinese Academy of SciencesBeijing 100190China School of Humanities University of Chinese Academy of SciencesBeijing 100049China Key Laboratory of Adaptation and Evolution of Plateau Biota Northwest Institute of Plateau BiologyChinese Academy of SciencesXining 810001China School of Innovation and Entrepreneurship University of Chinese Academy of SciencesBeijing 100190China State Key Laboratory of Remote Sensing Science Aerospace Information Research InstituteChinese Academy of SciencesBeijing 100101China Potsdam Institute for Climate Impact Research 14412 PotsdamGermany Institute for Environmental Science and Geography University of Potsdam14412 PotsdamGermany State Key Laboratory of Urban and Regional Ecology Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China

Differences in progress across sustainable development goals(SDGs)are widespread globally;meanwhile,the rising call for prioritizing specific SDGs may exacerbate such ***,how these progress differences would influence global sustainable development has been long ***,we present the first quantitative assessment of SDGs’progress differences globally by adopting the SDGs progress evenness *** results highlight that the uneven progress across SDGs has been a hindrance to sustainable development because(1)it is strongly associated with many public health risks(e.g.,air pollution),social inequalities(e.g.,gender inequality,modern slavery,wealth gap),and a reduction in life expectancy;(2)it is also associated with deforestation and habitat loss in terrestrial and marine ecosystems,increasing the challenges related to biodiversity conservation;(3)most countries with low average SDGs performance show lower progress evenness,which further hinders their fulfillment of SDGs;and(4)many countries with high average SDGs performance also showcase stagnation or even retrogression in progress evenness,which is partly ascribed to the antagonism between climate actions and other *** findings highlight that while setting SDGs priorities may be more realistic under the constraints of multiple global stressors,caution must be exercised to avoid new problems from intensifying uneven progress across ***,our study reveals that the urgent needs regarding SDGs of different regions seem complementary,emphasizing that regional collaborations(e.g.,demand-oriented carbon trading between SDGs poorly performed and well-performed countries)may promote sustainable development achievements at the global scale.

关键词： globally priori inequality

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Generation of high spatial and temporal resolution NDVI and its application in crop biomass estimation

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International Journal of Digital Earth 2013年第3期6卷 203-218页

作者： Jihua Meng Xin Du bingfang wu Institute of Remote Sensing Applications Chinese Academy of SciencesBeijingChina

While data like HJ-1 CCD images have advantageous spatial characteristics for describing crop properties,the temporal resolution of the data is rather low,which can be easily made worse by cloud *** contrast,although Moderate Resolution Imaging Spectroradiometer(MODIS)can only achieve a spatial resolution of 250 m in its normalised difference vegetation index(NDVI)product,it has a high temporal resolution,covering the Earth up to multiple times per *** combine the high spatial resolution and high temporal resolution of different data sources,a new method(Spatial and Temporal Adaptive Vegetation index Fusion Model[STAVFM])for blending NDVI of different spatial and temporal resolutions to produce high spatialtemporal resolution NDVI datasets was developed based on Spatial and Temporal Adaptive Reflectance Fusion Model(STARFM).STAVFM defines a time window according to the temporal variation of crops,takes crop phenophase into consideration and improves the temporal weighting *** result showed that the new method can combine the temporal information of MODIS NDVI and spatial difference information of HJ-1 CCD NDVI to generate an NDVI dataset with both high spatial and high temporal *** application of the generated NDVI dataset in crop biomass estimation was *** average absolute error of 17.2%was *** estimated winter wheat biomass correlated well with observed biomass(R^(2) of 0.876).We conclude that the new dataset will improve the application of crop biomass estimation by describing the crop biomass accumulation in *** is potential to apply the approach in many other studies,including crop production estimation,crop growth monitoring and agricultural ecosystem carbon cycle research,which will contribute to the implementation of Digital Earth by describing land surface processes in detail.

关键词： high spatial and temporal resolution NDVI crop biomass Digital Earth data fusion

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Land Cover Changes and Drivers in the Water Source Area of the Middle Route of the South-to-North Water Diversion Project in China from 2000 to 2015

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Chinese Geographical Science 2020年第1期30卷 115-126页

作者： GAO Wenwen ZENG Yuan ZHAO Dan wu bingfang REN Zhiyuan State Key Laboratory of Remote Sensing Science Institute of Remote Sensing and Digital EarthChinese Academy of SciencesBeijing 100101China Research Center for Policy and Technology of the Office of the South-to-North Water Diversion Project Ministry of Water ResourcesBeijing 100038China

The Middle Route of the South-to-North Water Diversion Project(MR-SNWDP)in China,with construction beginning in 2003,diverts water from Danjiangkou Reservoir to North China for residential,agriculture and industrial *** water source area of the MR-SNWDP is the region that is most sensitive to and most affected by the construction of this water diversion *** this study,we used Landsat Thematic Mapper(TM)and HJ-1 A/B images from 2000 to 2015 by an object-based approach with a hierarchical classification method for mapping land cover in the water source *** changes in land cover were illuminated by transfer matrixes,single dynamic degree,slope zones and fractional vegetation cover(FVC).The results indicated that the area of cropland decreased by 31%and was replaced mainly by shrub over the past 15 years,whereas forest and settlements showed continuous increases of 29.2% and 77.7%,*** changes in cropland were obvious in all slope zones and decreased most remarkably(–43.8%)in the slope zone above 25°.Compared to the FVC of forest and shrub,significant improvement was exhibited in the FVC of grassland,with a growth rate of 16.6%.We concluded that local policies,including economic development,water conservation and immigration resulting from the construction of the MR-SNWDP,were the main drivers of land cover changes;notably,they stimulated the substantial and rapid expansion of settlements,doubled the wetlands and drove the transformation from cropland to settlements in immigration areas.

关键词： remote sensing land cover change object-based classification Middle Route of the South-to-North Water Diversion Project(MR-SNWDP) China

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Constructing a 30m African Cropland Layer for 2016 by Integrating Multiple Remote sensing,crowdsourced,and Auxiliary Datasets

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Big Earth Data 2022年第1期6卷 54-76页

作者： Mohsen Nabil Miao Zhang bingfang wu Jose Bofana Abdelrazek Elnashar State Key Laboratory of Remote Sensing Science Aerospace Information Research InstituteChinese Academy of Sciences(AIRCAS)BeijingChina College of Resources and Environment University of Chinese Academy of Sciences(UCAS)BeijingChina Division of Agriculture Applications Soilsand Marine(AASMD)National Authority for Remote Sensing&Space Sciences(NARSS)CairoEgypt Faculty of Agricultural Sciences Catholic University of MozambiqueCuambaMozambique Department of Natural Resources Faculty of African Postgraduate StudiesCairo UniversityGizaEgypt

Despite its essential importance to various spatial agriculture and environmental applications,the information on actual cropland area and its geographical distribution remain highly uncertain over Africa among remote-sensing *** of the African regions has its unique physical and environmental limiting factors to accurate cropland mapping,which leads to high spatial discre-pancies among remote sensing cropland *** no dataset could cope with all limitations,multiple datasets initially derived from various remote sensing sensors and classification techniques must be integrated into a more accurate cropland product than individual ***,in the current study,four cropland products,produced initially from multiple sensors(***-8 OLI,Sentinel-2 MSI,and PROBA-V)to cover the period(2015-2017),were integrated based on their cropland mapping accuracy to build a more accurate cropland *** four cropland layers’accuracy was assessed at Agro-ecological zones units via an inten-sive reference dataset(17,592 samples).The most accurate crop-land layer was then identified for each zone to construct the final cropland mask at 30 m resolution for the nominal year of 2016 over *** a result,the new layer was produced in higher cropland mapping accuracy(overall accuracy=91.64%and cropland’s F-score=0.75).The layer mapped the African cropland area as 282 Mha(9.38%of the Continent area).Compared to earlier crop-land synergy layers,the constructed cropland mask showed a considerable improvement in its spatial resolution(30 m instead of 250 m),mapping quality,and closeness to official statistics(R^(2)=0.853 and RMSE=2.85 Mha).The final layer can be down-loaded as described under the“Data Availability Statement”section.

关键词： Cropland mapping synergy mapping land cover accuracy assessment multisource data fusion

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A FLOOD DISASTER INFORMATION SYSTEM AND ITS APPLICATION

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Journal of Geographical Sciences 1992年第2期 51-57页

作者： Chen Shupeng wu bingfang LREIS Institute of GeographyCAS

This paper describes the conceptual framework and design characteristics of creating a Flood Disaster Information System(FDIS),and its application experiences in *** includes three parts of spatial database,application oriented models and user interface,which are developed based on natural environmental *** landform feature in the study area is just one of the *** database should be updated in *** primary experiences in creating and using FDIS are in processing remotely sensed data and collecting statistic data to update the database before flood peak periods,and using airborne radar to monitor the flooded areas during flooding *** the 1991 flood disaster in China,the system and related techniques were used on Huaihe River of central China and Taihu Lake region of east China for tracing the flood process and evaluating the loss of flood damage timely.

关键词： flood disaster information system Taihu Lake region

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Remote sensing-based global crop monitoring: experiences with China’s CropWatch system

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International Journal of Digital Earth 2014年第2期7卷 113-137页

作者： bingfang wu Jihua Meng Qiangzi Li Nana Yan Xin Du Miao Zhang Institute of Remote Sensing and Digital Earth Chinese Academy of SciencesBeijingChina

Monitoring the production of main agricultural crops is important to predict and prepare for disruptions in food supply and fluctuations in global crop market ***’s global crop-monitoring system(CropWatch)uses remote sensing data combined with selected field data to determine key crop production indicators:crop acreage,yield and production,crop condition,cropping intensity,crop-planting proportion,total food availability,and the status and severity of *** are combined to analyze the balance between supply and demand for various food crops and if needed provide early warning about possible food *** data processing is highly automated and the resulting products provide new kinds of inputs for food security *** paper presents a comprehensive overview of CropWatch as a remote sensingbased system,describing its structure,components,and monitoring *** paper also presents examples of monitoring results and discusses the strengths and limitations of the CropWatch approach,as well as a comparison with other global crop-monitoring systems.

关键词： CropWatch crop monitoring remote sensing crop production

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Building African Ecosystem Research Network for Sustaining Local Ecosystem Goods and Services

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Chinese Geographical Science 2015年第4期25卷 414-425页

作者： Armand Sedami Igor YEVIDE wu bingfang YU Xiubo LI Xiaosong LIU Yu LIU Jian Key Lab of Digital Earth Sciences Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences Institute of Geographical Sciences and Natural Resources Research Chinese Academy of Sciences International Ecosystem Management Partnership (IEMP) United Nations Environment Programme (UNEP)

A new form of producing and sharing knowledge has emerged as an international(United States of America,Asia,and Europe) research collaboration,known as the Long-Term Ecological Research(LTER) *** Africa boasts rich biodiversity,including endemic species,it lacks the long-term initiatives to underpin sustainable biodiversity *** present,climate change may exacerbate hunger and poverty concerns in addition to resulting in ecosystem degradation,land use change,and other threats in ***,ecosystem monitoring was suggested to understanding the effects of climate change and setting strategies to mitigate these *** paper aimed to investigate ecosystem monitoring ground sites and address their coverage gaps in Africa to provide a foundation for optimizing the African Ecosystem Research Network(AERN) ground *** geographic coordinates and characteristics of ground sites-based ecosystem monitoring were collected from various networks aligned with the LTER implementation in ***,climatic data and biodiversity distribution maps were retrieved from various *** data were used to assess the size of existing ground sites and the gaps in description,ecosystems and *** results reveal that there were 1089 sites established by various *** these sites,30.5%,27.5%,and 28.8% had no information of area,year of establishment,current status,***,68.0% of them had an area equal to or greater than 1 *** were created progressively over the course of the years,with 68.9% being created from 2000 to *** date,only 41.5% of the sites were *** sites were scattered across Africa,but they were concentrated in Eastern and Southern *** unbalanced distribution pattern of the sites left Central and Northern Africa hardly covered,and many unique ecosystems in Central Africa were not *** sustain these sites,the AERN should be based on operational sites,seeking secur

关键词： ecosystem monitoring Long-Term Ecological Research(LTER) biodiversity ground site gap analysis network Africa

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Cloud services with big data provide a solution for monitoring and tracking sustainable development goals

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Geography and Sustainability 2020年第1期1卷 25-32页

作者： bingfang wu Fuyou Tian Miao Zhang Hongwei Zeng Yuan Zeng State Key Laboratory of Remote Sensing Science Aerospace Information Research InstituteChinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 10049China

To achieve the Sustainable Development Goals(SDGs),high-quality data are needed to inform the formulation of policies and investment decisions,to monitor progress towards the SDGs and to evaluate the impacts of ***,the data landscape is *** emerging big data and cloud-based services,there are new opportunities for data collection,influencing both official data collection processes and the operation of the programmes they *** paper uses cases and examples to explore the potential of crowdsourcing and public earth observation(EO)data products for monitoring and tracking the *** paper suggests that cloud-based services that integrate crowdsourcing and public EO data products provide cost-effective solutions for monitoring and tracking the SDGs,particularly for low-income *** paper also discusses the challenges of using cloud services and big data for SDG *** and quality control of public EO data is very important;otherwise,the user will be unable to assess the quality of the data or use it with confidence.

关键词： Big data Cloud services SDGs Monitoring

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A Synthesizing Land-cover Classification Method Based on Google Earth Engine: A Case Study in Nzhelele and Levhuvu Catchments, South Africa

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Chinese Geographical Science 2020年第3期30卷 397-409页

作者： ZENG Hongwei wu bingfang WANG Shuai MUSAKWA Walter TIAN Fuyou MASHIMBYE Zama Eric POONA Nitesh SYNDEY Mavengahama State Key Laboratory of Remote Sensing Science Aerospace Information Research InstituteChinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China State Key Laboratory of Earth Surface Proc-esses and Resource Ecology Faculty of Geographical ScienceBeijing Normal UniversityBeijing 100875China Department of Town and Regional Planning University of JohannesburgJohannesburg 2028South Africa Department of Geography and Envi-ronmental Studies Stellenbosch UniversityStellenbosch 7600South Africa Department of Crop Science Faculty of Natural and Agricultural SciencesNorth West UniversityMmabatho 2745South Africa

This study designed an approach to derive land-cover in the South Africa with insufficient ground samples, and made a case demonstration in Nzhelele and Levhuvu catchments, South Africa. The method was developed based on an integration of Landsat 8, Sentinel-1, and Shuttle Radar Topography Mission(SRTM) Digital Elevation Model(DEM), and the Google Earth Engine(GEE) platform. Random forest classifier with 300 trees is employed as land-cover classification model. In order to overcome the defect of insufficient ground data, the stratified sampling method was used to generate the training and validation samples from the existing land-cover product. Likewise, in order to recognize different land-cover categories, the percentile and monthly median composites were employed to expand input metrics of random forest classifier. Results showed that the overall accuracy of the land-cover of Nzhelele and Levhuvu catchments, South Africa in 2017–2018 reached to 76.43%. Three important results can be drawn from our research. 1) The participation of Sentinel-1 data can slightly improve overall accuracy of land-cover while its contribution on land-cover classification varied with land types. 2) Under-fitting problem was observed in the training of non-dominant land-cover categories using the random sampling, the stratified sampling method is recommended to make sure the classification accuracy of non-dominant classes. 3) When related reflectance bands participated in the training process, individual Normalized Difference Vegetation index(NDVI), Enhanced Vegetation Index(EVI), Soil Adjusted Vegetation Index(SAVI), Normalized Difference Built-up Index(NDBI) have little effect on final land-cover classification result.

关键词： land-cover classification random forest percentile composite Landsat 8 Sentinel-1 Google Earth Engine(GEE)

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Enhancing China’s Three Red Lines strategy with water consumption limitations

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Science Bulletin 2021年第20期66卷 2057-2060页

作者： bingfang wu Hongwei Zeng Weiwei Zhu Nana Yan Zonghan Ma State Key Laboratory of Remote Sensing Science Aerospace Information Research InstituteChinese Academy of SciencesBeijing 100101China College of Resources and Environment University of Chinese Academy of SciencesBeijing 100049China

Many countries face problems of scarcity and unsustainability in the water sector[1].In China,overexploitation of water has resulted in rapidly declining aquifers in important grainproducing areas,greatly reduced rive... 详细信息

关键词：水资源消耗 pollution river

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