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Science Bulletin 2024年第6期69卷 737-740页

作者：朱晓华张燕朱媛媛李裕瑞 Institute of Geographic Sciences and Natural Resources Research Chinese Academy of SciencesBeijing 100101China Key Laboratory of Geographic Process Analysis&Simulation Hubei Province Central China Normal UniversityWuhan 430079China

Food systems are already a major contributor to land degradation,and changes in global diets will exacerbate this situation[1].Population growth and affluent dietary patterns result in changes in land demand and land-use patterns,and up to 40% of global arable land and more than 30% of global food-crop production are used for animal feed[2].Furthermore,food-feed competition can result in an inadequate food supply[3].

关键词：耕地资源 arable food

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A scalable software package for time series reconstruction of remote sensing datasets on the Google Earth Engine platform

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International Journal of Digital Earth 2023年第1期16卷 988-1007页

作者： Jie Zhou Massimo Menenti Li Jia Bo Gao Feng Zhao Yilin Cui Xuqian Xiong Xuan Liu Dengchao Li Key Laboratory for Geographical Process Analysis&Simulation of Hubei Province College of Urban and Environmental SciencesCentral China Normal UniversityWuhanPeople’s Republic of China State Key Laboratory of Remote Sensing Science Aerospace Information Research InstituteChinese Academy of SciencesBeijingPeople’s Republic of China Faculty of Civil Engineering and Geosciences Delft University of TechnologyDelftThe Netherlands College of Resources Environment and Tourism Capital Normal UniversityBeijingPeople’s Republic of China The First Geological brigade of Hubei Geological Bureau HuangshiPeople’s Republic of China

Spatiotemporal residual noise in terrestrial earth observation products,often caused by unfavorable atmospheric conditions,impedes their broad *** users prefer to use gap-filled remote sensing products with time series reconstruction(TSR)*** currently available implementations of TSR to large-volume datasets is time-consuming and challenging for non-professional users with limited computation or storage *** study introduces a new open-source software package entitled‘HANTS-GEE’that implements a well-known and robust TSR algorithm,*** analysis of Time Series(HANTS),on the Google Earth Engine(GEE)platform for scalable reconstruction of terrestrial earth observation *** tasks can be conducted on user-defined spatiotemporal extents when raw datasets are available on *** to site-based and regional-based case evaluation,the new tool can effectively eliminate cloud contamination in the time series of earth observation *** with traditional PC-based HANTS implementation,the HANTS-GEE provides quite consistent reconstruction results for most terrestrial vegetated *** HANTS-GEE can provide scalable reconstruction services with accelerated processing speed and reduced internet data transmission volume,promoting algorithm usage by much broader user *** our knowledge,the software package is thefirst tool to support full-stack TSR processing for popular open-access satellite sensors on cloud platforms.

关键词： Time series reconstruction remote sensing Google Earth Engine HANTS gap-filling

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analysis of the response relationship between hydrological drought and meteorological drought from the perspective of dynamic surface water area based on satellite observations

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National Remote Sensing Bulletin 2025年第4期29卷 958-975页

作者： Xiong, Xuqian Zhou, Jie Guo, Dongliang Tan, Wenxia Cui, Yilin Lu, Jing Jia, Li Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province Central China Normal University Wuhan430079 China College of Urban and Environmental Sciences Central China Normal University Wuhan430079 China Aerospace Information Research Institute Chinese Academy of Sciences Beijing100101 China

Under the influence of global climate change and human activities, the frequency and intensity of drought have increased, posing challenges to food, ecology, and water security. Using satellite remote sensing technology for rapid acquisition, comprehensive coverage, and high-precision monitoring of surface water is crucial to understanding the mechanisms and evolution of hydrological drought. With the continuous expansion of global dynamic surface water coverage products, a valuable opportunity to explore the response relationship between surface water dynamics and drought emerges. This study focused on the middle reaches of the Yangtze River and its 4683 sub-basin units, utilizing the Global Surface Water Dynamic dataset to quantify abnormal changes in seasonal surface water areas from 1999 to 2020 through the Dynamic Surface Water Index (DWI). It aimed to investigate the response relationship between hydrological drought and meteorological drought from the perspective of dynamic surface water area, conducting an analysis of its uncertainties. Results showed the following: (1) DWI effectively depicted changes in the wet/dry status of the middle reaches of the Yangtze River and its sub-basin units. From 1999 to 2020, the fluctuations of DWI time series and SPI time series in the middle reaches of the Yangtze River are basically the same, which can capture the effects of most of the extreme hydrological and climatic events on the dynamic ranges of surface water in the region. The fluctuations of the DWI time series show significant positive correlations with the SPI time series at the four time scales (1, 3, 6, and 12 months), with the highest correlations with the SPI6 (r = 0.484, p © 2025 Science Press. All rights reserved.

关键词： Drought

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A phenology-based vegetation index for improving ratoon rice mapping using harmonized Landsat and Sentinel-2 data

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Journal of Integrative Agriculture 2024年第4期23卷 1164-1178页

作者： Yunping Chen Jie Hu Zhiwen Cai Jingya Yang Wei Zhou Qiong Hu Cong Wang Liangzhi You Baodong Xu Macro Agriculture Research Institute College of Plant Science and TechnologyHuazhong Agricultural UniversityWuhan 430070China College of Resources and Environment Huazhong Agricultural UniversityWuhan 430070China Key Laboratory of Agricultural Remote Sensing Ministry of Agriculture and Rural Affairs/Institute of Agricultural Resources and Regional PlanningChinese Academy of Agricultural SciencesBeijing 100081China Key Laboratory for Geographical Process Analysis&Simulation of Hubei Province/College of Urban and Environmental Sciences Central China Normal UniversityWuhan 430079China International Food Policy Research Institute NWWashingtonD.C.20005USA

Ratoon rice,which refers to a second harvest of rice obtained from the regenerated tillers originating from the stubble of the first harvested crop,plays an important role in both food security and agroecology while requiring minimal agricultural ***,accurately identifying ratoon rice crops is challenging due to the similarity of its spectral features with other rice cropping systems(e.g.,double rice).Moreover,images with a high spatiotemporal resolution are essential since ratoon rice is generally cultivated in fragmented croplands within regions that frequently exhibit cloudy and rainy *** this study,taking Qichun County in hubei province,China as an example,we developed a new phenology-based ratoon rice vegetation index(PRVI)for the purpose of ratoon rice mapping at a 30 m spatial resolution using a robust time series generated from Harmonized Landsat and Sentinel-2(HLS)*** PRVI that incorporated the red,near-infrared,and shortwave infrared 1 bands was developed based on the analysis of spectro-phenological separability and feature *** on actual field samples,the performance of the PRVI for ratoon rice mapping was carefully evaluated by comparing it to several vegetation indices,including normalized difference vegetation index(NDVI),enhanced vegetation index(EVI)and land surface water index(LSWI).The results suggested that the PRVI could sufficiently capture the specific characteristics of ratoon rice,leading to a favorable separability between ratoon rice and other land cover ***,the PRVI showed the best performance for identifying ratoon rice in the phenological phases characterized by grain filling and harvesting to tillering of the ratoon crop(GHS-TS2),indicating that only several images are required to obtain an accurate ratoon rice ***,the PRVI performed better than NDVI,EVI,LSWI and their combination at the GHS-TS2 stages,with producer's accuracy and user's accuracy of 92.22 and 89.30%,respectively

关键词： ratoon rice phenology-based ratoon rice vegetation index(PRVI) phenological phase feature selection Harmonized Landsat Sentinel-2 data

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Monitoring Turbidity Dynamics with Machine Learning Algorithms In a Macrophytic Shallow Lake Using Sentinel-2 Images

SSRN

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SSRN 2024年

作者： Li, Danyang Tan, Wenxia Yang, Shao Cheng, Hu Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province Central China Normal University Wuhan430079 China School of Life Sciences Central China Normal University Wuhan430079 China

Study region: Longgan Lake in the middle reaches of the Yangtze River in *** focus: Turbidity monitoring can provide scientific basis for early warning of lake water quality. However, a turbidity monitoring model specifically for a typical shallow and macrophytic lake has not been proposed. Therefore, a reliable machine learning turbidity inversion model was developed and validated for this type of lake. The best model was used to analyze the dynamic changes of turbidity in Longgan Lake . Then, the spatial and temporal variations of turbidity in Longgan Lake and its influence forces were *** hydrological insights for the region: The results showed that the KNN model had the highest accuracy . Spatially, turbidity was usually low in the northeast and northwest regions. This significant spatial variability is related to the distribution of aquatic vegetation . Seasonally, turbidity was low in wet season and high in dry season. Water depth is the most important factor causing this seasonal variation of turbidity. Wind speed and wind direction also play key roles in the daily turbidity change of Longgan Lake. . To sum up, the dynamic changes of turbidity in Longgan Lake at different temporal scales are affected by lake water depth, wind-sand resuspension and aquatic vegetation distribution. And the above findings have significant implications for the water quality management of these lakes. © 2024, The Authors. All rights reserved.

关键词： Lakes

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Occurring Characteristics and Controlling Factors of Preferential Flow Following Different Re-Vegetation Patterns in a Subtropical Watershed of Southwest China

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SSRN 2024年

作者： Lai, Bilin Liu, Muxing Li, Shenglong Yi, Jun Zhang, Hailin Lu, Shiguo Key Laboratory of Geographical Process Analysis & Simulation of Hubei Province Central China Normal University Wuhan430079 China College of Urban and Environmental Sciences Central China Normal University Wuhan430079 China

Studying the process of preferential flow (PF) and accurately quantifying the environmental factors that cause preferential flow, are prerequisite for exerting its function in conserving water sources and preventing groundwater pollution. In the background of large-scale greening project "Grain for Green", analyzing the impact of different vegetation restoration measures on preferential flow occurrence is conducive for evaluating their water resource protection capacity and ecological restoration functions. In this study, three typical slopes with different re-vegetation patterns: planted evergreen coniferous forest (ECF), natural generated deciduous forest mixed with shrubs (NDFS), and deforested pasture (DP) were selected in a small watershed of subtropical mountainous forest area in the Three Gorges Reservoir Region. High-frequency soil moisture monitoring datasets were conducted for analyzing the response mechanisms of preferential flow under different re-vegetation measures, slope location, and rainfall characteristics. Notably, this article innovates two parameters: "multi-depth preferential flow" and "T0~T1 period", addressing soil moisture response feature and influencing rainfall duration. Multi-depth preferential flow refers to the PFs occurring at different depths simultaneously, which has more credible indications for soil water conservation capacity than general preferential flow. The period from T0 (the beginning of rainfall) to T1 (when the last soil moisture probe responded) is the effective interval for rainfall events to affect preferential flow. Our results indicated that the average frequency of preferential flow occurrence in the subtropical hilly watershed is 37.8%. The preferential flow frequencies of ECF-upslope and DP-downslope were up to 54.8% and 61.1% respectively, while those in ECF-downslope, NDFS-upslope, NDFS-downslope, and DP-upslope are around 30%. The frequencies of multi-depth preferential flow in ECF-up and DP-down sites are 15.5

关键词： Soil moisture

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Multiscale Spatiotemporal Evolution and Obstacle Factors of High-quality Development in China

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Journal of Resources and Ecology 2025年第2期16卷 283-296页

作者： CHEN Mengchan YANG Fangqin SUN Jianwei LUO Jing CUI Jiaxing KONG Xuesong School of Geographical and Environmental Sciences Guizhou Normal UniversityGuiyang 550025China School of Economics Guizhou UniversityGuiyang 550025China Key Laboratory for Geographical Process Analysis&Simulation of Hubei Province Central China Normal UniversityWuhan 430079China School of Resource and Environmental Sciences Wuhan UniversityWuhan 430079China

High-quality development is essential for China’s *** in-depth implementation of the new development philosophy has become crucial for promoting China’s development in the context of“domestic and international”double-cycle *** study constructs an evaluation index based on the new development philosophy,measures the level of China’s high-quality development majorly from 2005 to 2020,dynamically ex-amines the spatial and temporal pattern of China’s high-quality development on a multi-level spatial scale,and ex-plores its influence mechanism with the help of the obstacle degree *** results show that:(1)China’s high-quality development level has increased as a whole,with the high-quality development index rising from 0.056 in 2005 to 0.092 in 2020,with an average annual growth rate of 3.36%and an overall development pattern of“high level in the east and fast growth rate in the west”.(2)Spatial correlation,China’s high-quality development shows a significant positive correlation,with cities with higher levels of high-quality development concentrated in the eastern coastal region,the Pearl River Delta region,and the Beijing-Tianjin-Hebei region,and those with lower levels of high-quality development clustered in the western region.(3)In terms of dynamic evolution,China’s high-quality development level shows a small rightward shift,the polarization of high-quality development level is weakening,and the rightward trailing situation has been alleviated.(4)Obstacles to identifying the factors affecting China’s high-quality development include the amount of imports,exports,and the number of foreign direct investment con-tract *** the criterion level,openness and innovation are the biggest obstacles to high-quality devel-opment,and the obstacle degree of each criterion level shows significant spatial differentiation characteristics in the research *** results can provide a scientific basis for China’s path to upgrading and build

关键词： new development philosophy high-quality development spatiotemporal pattern obstacle factor China

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Shifting Diets for Low-carbon Patterns Based on Multi-objective Optimization in China’s Megacities:A Case Study of Beijing and Shanghai

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Journal of Resources and Ecology 2025年第1期16卷 93-104页

作者： ZHANG Yan ZHU Yuanyuan ZHU Xiaohua LI Yan Key Laboratory of Geographic Process Analysis&Simulation of Hubei Province Central China Normal UniversityWuhan 430079China Institute of Geographic Sciences and Natural Resources Research Chinese Academy of SciencesBeijing 100101China

Dietary modification has been suggested as a viable path to mitigate climate *** study explored the evolution of dietary structures in China’s megacities and quantified food-related carbon emissions using the carbon footprint ***,we developed a multi-objective optimization model to identify low-carbon dietary options that align with cultural preferences,economic feasibility,and nutritional *** found that from 1992 to 2021,the total food consumption of residents in Beijing and Shanghai experienced a period of fluctuating decline and slow rise,respectively,with their dietary structures both shifting toward animal-based ***,the significant increase in meat consumption led to increasing food carbon emissions in Beijing and Shanghai,with per capita emissions rising by 37.2%and 25.2%,*** to the multi-objective optimization model,shifting towards reduced consumption of animal products,particularly meat,would align with culturally acceptable,economically feasible,and low carbon emission goals in Beijing and Shanghai,potentially leading to reductions of 92.14 t and 212.65 t in total food carbon emissions compared with the actual in 2021,*** study enhances understanding of the changing dietary patterns in urban areas and their associated carbon emissions,and emphasizes the significance of optimizing diets as a key priority for advancing global sustainable development.

关键词： carbon footprint diet optimization evolutionary characteristics China

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Preferential flow influences the profile partition patterns of rainwater infiltration in a steep forested headwater catchment

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Journal of Hydrology 2025年 661卷

作者： Lu, Shiguo Liu, Muxing Yi, Jun Yang, Qian Ding, Feng Key Laboratory of Geographical Process Analysis & Simulation of Hubei Province Central China Normal University Wuhan430079 China College of Urban and Environmental Sciences Central China Normal University Wuhan430079 China Yichang Three Gorges Dalaoling Nature Reserve Administration Yichang443000 China

Infiltration is a critical component of the hydrologic cycle, affecting key behaviors such as runoff generation, plant available water, and groundwater recharge. However, it remains uncertain how and to what extent preferential flow (PF) influences infiltration and its partition patterns with depth. Here, we performed an event-based study using a four-year soil moisture (SM) monitoring dataset collected at multiple depths (0–80 cm) across a steep forested headwater catchment. The infiltration partitioning index (i.e., the percentage of soil water storage increment in each layer relative to the total soil profile) was calculated to quantify the influence of controlling factors on infiltration processes. We found that approximately 79.3 % of infiltrated water was retained in the upper three layers (0–40 cm). A larger rainfall and a lower SM condition permitted rainwater infiltration into the deeper layers of a soil profile. PF significantly facilitated water infiltration in most cases. However, under heavy and continuous rainfall conditions (mean amount ≥60.7 mm), or under wet SM conditions (>36 %), no significant (p > 0.05) difference in infiltration effects was observed between PF events and MF (matrix flow) events in shallow layers. In contrast, the water transport of PF events was significantly (p © 2025 Elsevier B.V.

关键词： Soil moisture

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Assessing Landsat-8 and Sentinel-2 spectral-temporal features for mapping tree species of northern plantation forests in Heilongjiang province,China

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Forest Ecosystems 2022年第3期9卷 344-356页

作者： Mengyu Wang Yi Zheng Chengquan Huang Ran Meng Yong Pang Wen Jia Jie Zhou Zehua Huang Linchuan Fang Feng Zhao Key Laboratory of Geographical Process Analysis&Simulation of Hubei Province/College of Urban and Environmental Sciences Central China Normal UniversityWuhan430079China Department of Geographical Sciences University of MarylandCollege ParkMD20742USA Macro Agriculture Research Institute Interdisciplinary Sciences Research InstituteCollege of Resources and EnvironmentHuazhong Agricultural UniversityWuhan430070China Institute of Forest Resource Information Techniques Chinese Academy of ForestryBeijing100091China Key Laboratory of Forestry Remote Sensing and Information System National Forestry and Grassland AdministrationBeijing100091China

Background:Accurate mapping of tree species is highly desired in the management and research of plantation forests,whose ecosystem services are currently under ***-series multispectral satellite images,e.g.,from Landsat-8(L8)and Sentinel-2(S2),have been proven useful in mapping general forest types,yet we do not know quantitatively how their spectral features(e.g.,red-edge)and temporal frequency of data acquisitions(e.g.,16-day vs.5-day)contribute to plantation forest mapping to the species ***,it is unclear to what extent the fusion of L8 and S2 will result in improvements in tree species mapping of northern plantation forests in ***:We designed three sets of classification experiments(i.e.,single-date,multi-date,and spectral-temporal)to evaluate the performances of L8 and S2 data for mapping keystone timber tree species in northern *** first used seven pairs of L8 and S2 images to evaluate the performances of L8 and S2 key spectral features for separating these tree species across key growing *** we extracted the spectral-temporal features from all available images of different temporal frequency of data acquisition(i.e.,L8 time series,S2 time series,and fusion of L8 and S2)to assess the contribution of image temporal frequency on the accuracy of tree species mapping in the study ***:1)S2 outperformed L8 images in all classification experiments,with or without the red edge bands(0.4%–3.4%and 0.2%–4.4%higher for overall accuracy and macro-F1,respectively);2)NDTI(the ratio of SWIR1 minus SWIR2 to SWIR1 plus SWIR2)and Tasseled Cap coefficients were most important features in all the classifications,and for time-series experiments,the spectral-temporal features of red band-related vegetation indices were most useful;3)increasing the temporal frequency of data acquisition can improve overall accuracy of tree species mapping for up to 3.2%(from 90.1%using single-date imagery to 93.3%using S2 time-series),yet similar ov

关键词： Tree species mapping Plantation forests Red-edge features Temporal frequency of data acquisition Fusion of Landsat-8 and Sentinel-2

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