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| 1 | Annual 30-m land use/land cover maps of China for 1980–2015 from the integration of AVHRR, MODIS and Landsat data using the BFAST algorithm显示文摘Annual land use land cover(LULC)change information at medium spatial resolution(i.e.at 30 m)is required in numerous subjects,such as biophysical modelling,land management and global change studies.Annual LULC information,however,is usually not available at continental or national scale due to reasons such as insufficient remote sensing data coverage or lack of computational capabilities.Here we integrate high temporal resolution and coarse spatial resolution satellite images(i.e.,Moderate Resolution Imaging Spectroradiometer(MODIS)and Global Inventory Modelling and Mapping Studies(GIMMS)normalized difference vegetation index(NDVI))with high spatial resolution datasets(China’s Land-Use/cover Datasets(CLUDs)derived from 30-meter Landsat TM/ETM+/OLI)to generate reliable annual nominal 30 m LULC maps for the whole of China between 1980 and 2015.We also test the performance of a statistical based change detection algorithm(Breaks for Additive Seasonal and Trend),originally designed for tracking forest change,in classifying all-type LULC change.As a result,a nominal 30 m annual land use/land cover datasets(CLUD-A)from 1980 to 2015 was developed for the whole China.The mapping results were assessed with a change sample dataset,a regional annual validation sample set and a three-year China sample set.Of the detected change years,75.61%matched the exact time of conversion within±1 year.Annual mapping results provided a detail process of urbanization,deforestation,afforestation,water and cropland dynamics over the past 36 years.The consistent characterization of land change dynamics for China can be further used in scientific research and to support land management for policy-makers. | Yidi XU Le YU Dailiang PENG Jiyao ZHAO Yuqi CHENG Xiaoxuan LIU Wei LI Ran MENG Xinliang XU Peng GONG | 2020 | Science China Earth Sciences2020，63，9： | 12 |
| 2 | MODIS observations of water color of the largest 10 lakes in China between 2000 and 2012显示文摘Forel-Ule(FU)index of water color is an important parameter in traditional water quality investigations.We retrieved the FU index of the largest 10 lakes in China during 2000-2012 from MODerate-resolution Imaging Spectroradiometer surface reflectance product(MOD09)images.Since FU index is an optical parameter,it can be derived from optical remote sensing data by direct formulas,which is invariant with region and season.Based on validation by in situ measured reflectance data,the FU index products are reliable,with average relative error of 7.7%.FU index can be used to roughly assess water clarity:the clearer a water body is,and the bluer it is in color,the smaller its FU index is.FU index can also be used to roughly classify trophic state into three classes:oligotrophic,mesotrophic,and eutrophic.We analyzed the spatial,interannual,and seasonal variations of the FU index and its implications for water clarity and trophic state,and the findings are mostly consistent with the results from related literature.All in all,it might be a feasible way to roughly assess inland water quality by FU index in large region and over long time period. | Junsheng Li Shenglei Wang Yanhong Wu Bing Zhang Xiaoling Chen Fangfang Zhang Qian Shen Dailiang Peng Liqiao Tian | 2016 | International Journal of Digital Earth2016，9，8： | 5 |
| 3 | Detection and estimation of mixed paddy rice cropping patterns with MODIS data显示文摘 | Dailiang Peng Alfredo R. Huete Jingfeng Huang Fuming Wang Huasheng Sun | 2010 | International Journal of Applied Earth Observations and Geoinformation2010，，1： | 2 |
| 4 | Seasonal dynamic pattern analysis on global FPAR derived from AVHRR GIMMS NDVI显示文摘The purpose of this paper is to develop Advanced Very High Resolution Radiometer(AVHRR)Global Inventory Modelling and Mapping Studies(GIMMS)Normalised Difference Vegetation Index(NDVI;AVHRR GIMMS NDVI for short)based fraction of absorbed photosynthetically active radiation(FPAR)from 1982 to 2006 and focus on their seasonal and spatial patterns analysis.The available relationship between FPAR and NDVI was used to calculate FPAR values from 1982 to 2006 and validated by Moderate-resolution Imaging Spectroradiometer(MODIS)FPAR product.Then,the seasonal dynamic patterns were analysed,as well as the driving force of climatic factors.Results showed that there was an agreement between FPAR values from this study and those of the MODIS product in seasonal dynamic,and the spatial patterns of FPARvary with vegetation type distribution and seasonal cycles.The time series of average FPAR revealed a strong seasonal variation,regular periodic variations from January 1982 to December 2006,and opposite patterns between the Northern and Southern Hemispheres.Evergreen vegetation FPARvalues were close to 0.7.A clear single-peak curve was observed between 308N and 808N?an area covered by deciduous vegetation.In the Southern Hemisphere,the time series fluctuations of FPAR averaged by 0.78 latitude zones were not clear compared to those in the Northern Hemisphere.A significant positive correlation(PB0.01)was observed between the seasonal variation of temperature and precipitation and FPAR over most other global meteorological sites. | Dailiang Peng Bing Zhang Liangyun Liu Dongmei Chen Hongliang Fang Yong Hu | 2012 | International Journal of Digital Earth2012，5，5： | 2 |
| 5 | Characteristics and drivers of global NDVI-based FPAR from 1982 to 2006显示文摘 | Peng Dailiang Zhang Bing Liu Liangyun Fang Hongliang Chen Dongmei Hu Yong Liu Lingling | 2012 | EN2012，，3： | 1 |
| 6 | Detection and estimation of mixed paddy rice cropping patterns with MODIS data显示文摘 | Peng Dailiang Huete A R Huang Jingfeng | 2011 | International Journal of Applied Earth Observation and Geoinformation2011，13，1： | 1 |
| 7 | Detection and estimation of mixed paddy rice cropping patterns with MODIS data显示文摘 | Dailiang Peng Alfredo R. Huete Jingfeng Huang Fuming Wang Huasheng Sun | 2010 | International Journal of Applied Earth Observations and Geoinformation2010，，1： | 1 |
| 8 | Comparing spatiotemporal patterns in Eurasian FPAR derived from two NDVI-based methods显示文摘A long-term,consistent Fraction of Absorbed Photosynthetically Active Radiation(FPAR)product is necessary to study the spatial and temporal patterns of vegetation dynamics associated with climatic changes and human activities.In this study,Eurasia was selected as the study area.The relationship between FPAR and simple infrared/red ratio relationship(SR FPAR),and that between Moderate Resolution Imaging Spectroradiometer(MODIS)FPAR and a Normalised Difference Vegetation Index(NDVI)look-up table(LUT FPAR)were employed to estimate FPAR from 1982 to 2006 by different land cover types,focusing on the comparisons of spatiotemporal FPAR patterns between the two FPAR datasets.The results showed high agreement between MODIS standard FPAR and estimated FPAR in seasonal dynamics with peak values in July.The LUT FPAR was close to MODIS standard FPAR and larger than SR FPAR.The SR and LUT FPAR showed the same spatial distribution and inter-annual variation patterns and were primarily determined by land cover types.An overall increasing trend in FPAR was observed from 1982 to 2006,with reductions from 1991 to 1994 and 2000 to 2002.The inter-annual dynamics in evergreen broadleaf forests showed a decreasing trend over 25 years,while non-forest vegetation FPAR values had slow,stable growth in inter-annual variation. | Dailiang Peng Bing Zhang Liangyun Liu | 2012 | International Journal of Digital Earth2012，5，4： | 1 |
| 9 | Detection and estimation of mixed paddy rice cropping patterns with MODIS data显示文摘 | Peng Dailiang Huete A R Huang Jingfeng | 2011 | International Journal of Applied Earth Observation and Geoinformation2011，13，1： | 1 |
| 10 | Regulating the properties of XQ-2d for targeted delivery of therapeutic agents to pancreatic cancers显示文摘Enhanced recognition ability,cell uptake capacity,and biostability are characteristics attributed to aptamer-based targeted anticancer agents,and are possibly associated with increased accumulation at the tumor site,improved therapeutic efficacy and reduced negative side effects.Herein,a phosphorothioate backbone modification strategy was applied to regulate the biomedical properties of pancreatic cancer cell–targeting aptamer for efficient in vivo drug delivery.Specifically,the CD71-targeting aptamer XQ-2d was modified into a fully thio-substituted aptamer S-XQ-2d,improving the plasma stability of S-XQ-2d and mitomycin C(MMC)-functionalized S-XQ-2d(MFSX),thus considerably prolonging their half-life in mice.Moreover,the binding and uptake capacities of S-XQ-2d were significantly enhanced.MFSX showed the same level of cytotoxicity as that of MMC against targeted cancer cells,but lower toxicity to non-targeted cells,highlighting its specificity and biosafety.Brief mechanistic studies demonstrated that XQ-2d and S-XQ-2d had different interaction modes and internalization pathways with the targeted cells. | Qiuxia Yang Yongbo Peng Zhengyu Deng Dailiang Zhang Cheng-Yu Long Guo-Rong Zhang Juan Li Xue-Qiang Wang Weihong Tan | 2023 | National Science Review2023，10，8： | 0 |
| 11 | Monitoring nitrogen concentration of oilseed rape from hyperspectral data using radial basis function显示文摘Remote sensing technology is the important tool of digital earth,it can facilitate nutrient management in sustainable cropping systems.In the study,two types of radial basis function(RBF)neural network approaches,the standard radial basis function(SRBF)neural networks and the modified type of RBF,generalized regression neural networks(GRNN),were investigated in estimating the nitrogen concentrations of oilseed rape canopy using vegetation indices(VIs)and hyperspectral reflectance.Comparison analyses were performed to the spectral variables and the approaches.The Root Mean Square Error(RMSE)and determination coefficients(R2)were used to assess their predictability of nitrogen concentrations.For all spectral variables(VIs and hyperspectral reflectance),the GRNN method produced more accurate estimates of nitrogen concentrations than did the SRBF method at all ranges of nitrogen concentrations,and the better agreements between the measured and the predicted nitrogen concentration were obtained with the GRNN method.This indicated that the GRNN method is prior to the SRBF method in estimation of nitrogen concentrations.Among the VIs,the Modified Chlorophyll Absorption in Reflectance Index(MCARI),MCARI1510,and Transformed Chlorophyll Absorption in Reflectance Index are better than the others in estimating oilseed rape canopy nitrogen concentrations.Compared to the results from VIs,the hyperspectral reflectance data also gave an acceptable estimation.The study showed that nitrogen concentrations of oilseed rape canopy could be monitored using remotely sensed data and the RBF method,especially the GRNN method,is a useful explorative tool for oilseed rape nitrogen concentration monitoring when applied on hyperspectral data. | Fumin Wang Jingfeng Huang Yuan Wang Zhuanyu Liu Dailiang Peng Feifeng Cao | 2013 | International Journal of Digital Earth2013，6，6： | 0 |
| 12 | OUR SHARED GREEN HOME--China is contributing to a greener Earth显示文摘This report references data compiled by NASA’s Aqua and Terra Earth observation satellites. From 2000 to 2017, global areas covered by greenery increased by 5 percent, of which 25 percent lie in China. In fact, China accounts for only 6.6 percent of global vegetation coverage. So, how did these changes happen? | Peng Dailiang Zhang Helin Zhang Bing | 2019 | China Report ASEAN2019，4，7： | 0 |
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