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arXiv 2024年

作者： Zhang, Pengfei Li, Chang Zhang, Yongjun Qin, Rongjun Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province College of Urban and Environmental Science Central China Normal University Wuhan China School of Remote Sensing and Information Engineering Wuhan University China Department of Civil Environmental and Geodetic Engineering Department of Electrical and Computer Engineering Translational Data Analytics Institute The Ohio State University ColumbusOH United States

Remotely sensed imagery interpretation (RSII), including semantic segmentation and change detection, faces the three major problems: (1) objective representation of spatial distribution patterns with coexistence of spatial stationary and non-stationary;(2) edge uncertainty problem caused by downsampling encoder and intrinsic edge noises (e.g., mixed pixel and edge occlusion etc.);and (3) false detection problem caused by geometric registration error in change detection. To solve the aforementioned problems, uncertainty-diffusion-model-based high-Frequency TransFormer network (UDHF2-Net) is the first to be proposed, whose superiorities are as follows: (1) a spatially-stationary-and-non-stationary high-frequency connection paradigm (SHCP) is proposed to enhance the interaction of spatially frequency-wise stationary and non-stationary features to yield high-fidelity edge extraction result. Inspired by HRFormer, SHCP proposes high-frequency-wise stream to replace high-resolution-wise stream in HRFormer through the whole encoder-decoder process with parallel frequency-wise high-to-low streams, so it improves the edge extraction accuracy by continuously remaining high-frequency information;(2) a mask-and-geo-knowledge-based uncertainty diffusion module (MUDM), which is a self-supervised learning strategy, is proposed to improve the edge accuracy of extraction and change detection by gradually removing the simulated spectrum noises based on geo-knowledge and the generated diffused spectrum noises;(3) a frequency-wise semi-pseudo-Siamese UDHF2-Net is the first to be proposed to balance accuracy and complexity for change detection. Besides the aforementioned spectrum noises in semantic segmentation, MUDM is also a self-supervised learning strategy to effectively reduce the edge false change detection from the generated imagery with geometric registration error. In semantic segmentation experiments, UDHF2-Net achieved the best mIoU values of 92.00%, 87.31% and 55.27% respecti

关键词： Semantic Segmentation

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analysis on the area changes and its influencing factors of the lakes in wuhan city based on google earth engine 24

Analysis on the area changes and its influencing factors of ...

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2021 24th ISPRS Congress Commission III: Imaging Today, Foreseeing Tomorrow

作者： Gong, T. Xie, S. Zhao, H. Hubei Provincial Key Laboratory of Geographical Process Analysis and Simulation Wuhan430079 China The College of Urban and Environmental Science Central China Normal University Hubei Wuhan430079 China College of Surveying and Geo-Informatics Tongji University 1239 Siping Road Shanghai China

Urban lakes play an important role in urban development and environmental protection, and lakes are an important city card of Wuhan city. We calculated the lake area of in Wuhan city from 1987 to 2019 and its change over time and in space by using the MNDWI method and the Google Earth Engine (GEE) platform, and explored the driving force of lake area changes by using Pearson correlation coefficient in this paper. The results show: (1) The lakes in Wuhan city were shrinking and the total area decreased from 837.89km2 in 1987 to 734.10km2 in 2019 at a rate of 3.15km2 per year, but changed differently in different stages: increasing in the period of 1987 to1993, decreasing in the period of 1993 to 2004 while being stable in the period of 2004 to 2019. (2) The lakes were mainly distributed in the central and eastern parts of Wuhan city (i.e., Wuchang District, Jiangxia District, and Caidian District). (3) Climate factors and human activities have jointly affected the changes in lake area. In terms of climate factors, the total area of lakes had a strong correlation with precipitation and temperature. In terms of human activities, permanent population had a moderate correlation with the lake changes. The study verified the feasibility of monitoring the long-term lake sequence on the GEE platform, and provided reference for lake protection in Wuhan city. © 2021 International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. All rights reserved.

关键词： Landsat

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A prototype web-based analysis platform for drought monitoring and early warning

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International Journal of Digital Earth 2020年第7期13卷 817-831页

作者： Mattijn van Hoek Jie Zhou Li Jia Jing Lu Chaolei Zheng Guangcheng Hu Massimo Menenti State Key Laboratory of Remote Sensing Science Chinese Academy of SciencesInstitute of Remote Sensing and Digital EarthBeijingPeople’s Republic of China HKV Consultants LelystadThe Netherlands Key Laboratory for Geographical Process Analysis&Simulation of Hubei Province/College of Urban and Environmental SciencesCentral China Normal UniversityWuhanPeople’s Republic of China

It has long been recognized that an effective drought monitoring and early warning system,which provides functions for real-time condition monitoring and prediction,risk assessment,information dissemination and response recommendation,is very important for the preparedness for and mitigation of drought *** this article,we review the currently existing drought monitor and early warning systems,discuss applicable remote sensing datasets and drought indicators and present the development of a web-based quasi-real-time Global Drought Monitoring&analysis Platform(Web-GDMAP).The Web-GDMAP is built upon a series of indicators derived from multi-source satellite remote sensing data and various other sources of *** a technical perspective,the Web-GDMAP system includes a series of components from data storage,model implementation and distribution,to client-side visualization and user intuitive *** a theoretical perspective,the Web-GDMAP system integrates multi-indicators on different aspects of drought,including anomalies in precipitation,anomalies in land surface thermal and vegetation conditions,water deficit of soil and plants,*** case studies on applying the developed Web-GDMAP in the Asian region are *** improvements and perspectives are discussed.

关键词： Drought monitoring remote sensing web-based Open Geospatial Consortium(OGC) time series

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High nitrogen fertilizer input enhanced the microbial network complexity in the paddy soil

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Soil Ecology Letters 2024年第2期6卷 97-109页

作者： Yanan Chen Yan Li Tianyi Qiu Haoran He Ji Liu Chengjiao Duan Yongxing Cui Min Huang Chunyan Wu Linchuan Fang The Research Center of Soil and Water Conservation and Ecological Environment Chinese Academy of Sciences and Ministry of EducationYangling712100China State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau Institute of Soil and Water Conservation CAS and MWRYangling712100China University of Chinese Academy of Sciences Beijing100049China Institute of Environment Resource and Soil Fertilizer Zhejiang Academy of Agricultural SciencesHangzhou310021China College of Natural Resources and Environment Northwest A&F UniversityYangling712100China Hubei Province Key Laboratory for Geographical Process Analysis and Simulation Central China Normal UniversityWuhan430079China Department of Ecohydrology Leibniz Institute of Freshwater Ecology and Inland FisheriesBerlin12587Germany Sino-French Institute for Earth System Science College of Urban and Environmental SciencesPeking UniversityBeijing100871China College of Resources and Environmental Engineering Wuhan University of TechnologyWuhan430070China CAS Center for Excellence in Quaternary Science and Global Change Xi’an710061China

N fertilizer altered bacterial community compositions by changing soil nutrients.•Bacterial ammonia oxidation became predominated with the increasing N rate.•Excessive N input caused the information of a more complex microbial network.•Intensified microbial competition by excessive N was due to negative link ***(N)fertilization drives the structure and function of soil microbial communities,which are crucial for regulating soil biogeochemical cycling and maintaining ecosystem *** the N fertilizer effects on soil microbial composition and diversity have been widely investigated,it is generally overlooked that ecosystem processes are carried out via complex associations among microbiome ***,we examined the effects of five N fertilization levels(0,135,180,225,and 360 kg N ha−1)on microbial co-occurrence networks and key functional taxa such as ammonia-oxidizers in paddy *** results showed that N addition altered microbial community composition,which were positively related to soil total N and available phosphorus(P)*** abundance of ammonia-oxidizing archaea(AOA)significantly decreased after N addition,whereas ammonia-oxidizing bacteria(AOB)increased in N360 *** with low-N group(N0 and N135),the high-N group(N225 and N360)shaped more complex microbial webs and thus improved the stability of the microbial *** least squares path modeling further revealed that N fertilizer had a higher effect on microbial network complexity in the high-N group(0.83)than the low-N group(0.49).Although there were more positive links across all microbial networks,the proportion of negative links significantly increased in the high-N network,suggesting that excess N addition aggravated the competition among microbial *** these interactions between microbial communities and N fertilization advances our understanding of biogeochemical processes in paddy soils and their effects on nutrient supply to

关键词： nitrogen fertilizer paddy soil co-occurrence network microbial interaction

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Early Detection of Invasive Phragmites Australis at the Tidal Marsh-Forest Ecotone with Airborne Lidar

SSRN

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SSRN 2024年

作者： Xiong, Biao Han, Siyuan Messerschmidt, Tyler C. Kirwan, Matthew L. Gedan, Keryn Qi, Man School of Computer Science and Artificial Intelligence Wuhan University of Technology 122 Luoshi Rd Wuhan430070 China Virginia Institute of Marine Science William & Mary Gloucester PointVA United States Department of Biological Sciences The George Washington University WashingtonDC United States Key Laboratory of Geographical Process Analysis and Simulation of Hubei Province College of Urban and Environmental Sciences Central China Normal University Wuhan430079 China

Wetlands across North America are invaded by an introduced lineage of the common reed Phragmites australis, and sea level rise has exacerbated the spread of this species. P. australis at tidal marsh-forest ecotones has rapidly been expanding into deteriorating forest, colonizing understory environments ahead of native marsh species. Early detection of P. australis at the ecotone will be critical to the management of this invasive species in coming decades. In this study, we develop and validate a new method for early detection of P. australis, using open access airborne LiDAR data that can uniquely penetrate the tree canopy and detect P. australis within the forest understory. The method was designed for areas of sparse to moderate tree cover, such as the forest edge where trees are dying and P. australis is expanding, where understory species mapping was previously impossible with most spectral data. To differentiate P. australis from shrubs and other understory herbaceous plants, we tested the effectiveness of several LiDAR-derived spatial metrics, including Mean distance, Point density, Scatter, Omnivariance, and Eigentropy, as inputs to a Support Vector Machine (SVM) classifier, followed by a smoothing algorithm to avoid occasional obstacles or disturbances. We compare among metrics and single- vs. multiple- metric-based classifications. The resulting best early detection method of P. australis achieved a classification accuracy of 91.48% at the development site, and between 56.16% and 80.65% accuracy at other test sites. This algorithm provides a cost-effective and high accuracy method of detecting understory P. australis using public airborne LiDAR data. Larger-scale application of this method will provide coastal resource managers and policy-makers with distribution maps of P. australis through time in open environments and the forest understory. More generally, this approach provides a framework for mapping understory species and plant functional groups usin

关键词： Wetlands

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Spatiotemporal analysis of water reservoirs in San Luis Potosí state, Mexico, from 1990 to 2015

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Water Science 2023年第1期37卷 344-357页

作者： Cárdenas-Tristán, Abraham Méndez-Hernández, Karen Roxana Wu, Hao Castro-Ovalle, Andrés Gerardo Reyes-Alvarado, Ana Gisela Galindo-Mendoza, María Guadalupe Reyes-Cárdenas, Oscar Centro de Investigación y Estudios de Posgrado Universidad Autónoma de San Luis Potosí San Luis Potosí Mexico Hubei Provincial Key Laboratory for Geographical Process Analysis and Simulation Central China Normal University Wuhan China Centro de Investigaciones Biológicas del Noroeste S.C Consejo Nacional de Ciencia y Tecnología La Paz Mexico Coordinación para la Innovación y Aplicación de la Ciencia y la Tecnología Universidad Autónoma de San Luis Potosí San Luis Potosí Mexico

It is essential to identify the spatial distribution and use of water resources for developing appropriate strategies for their use. Therefore, this work aimed to estimate the spatial distribution of economic and ecological Water Use Profit (WUP) and relate it to the Normalized Differential Water Index (NDWI) and evapotranspiration in the San Luis Potosí state, México. When calculating or obtaining the NDWI, this indicator is associated with values of evapotranspiration concentrations that are obtained spatially in the various portions of the territory, since in SLP territory the climate and soil moisture vary from one region to another, as there are 4 different regions. The methodology in this study involved a multitemporal analysis of the WUP in the State corresponding to 1990, 2000, 2010, and 2015, since it is an indicator that measures the uses and water exploitation in a region obtained over time, which is why it is called multitemporal, since we are talking about a 25-year period of analysis and the result is different from one place to another in San Luis Potosi territory. This study was realized through the application of economic and ecological indicators which were evaluated, considering the economic and ecological activities that use water in the region;therefore, the behavior of ETR depends on the area and the economic and/or ecological activities that have been carried out in the period. Also, for understanding the behavior of water reservoirs in the basins in the study area, the NDWI was obtained from Landsat 8 imagery. The results of NDWI showed that, from 1990 to 2015, there was a decrease in moisture content, becoming more evident in 2000. This study found that secondary and tertiary activities significantly influence yearly economic value. From 1990 to 2000, the Gross Domestic Product (GDP) value doubled, while from 2000 to 2010 tripled, and for 2015 the increase was nearly 25% compared to 2010. The WUP_economic’s and WUP_ecological

关键词： Geographic information system land use mapping NDWI remote sensing spatial distribution

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Tracking Autumn Photosynthetic Phenology of Alpine Grassland on the Tibetan Plateau with Green-Red Vegetation Index

SSRN

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SSRN 2022年

作者： Li, Wangchao Yang, Yajie Chen, Rui Ma, Dujuan Wang, Changjing Wang, Cong Chen, Huai Yin, Gaofei Faculty of Geosciences and Environmental Engineering Southwest Jiaotong University Chengdu610031 China Key Laboratory for Geographical Process Analysis and Simulation of Hubei Province School of Urban and Environmental Sciences Central China Normal University Wuhan430079 China Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province Chengdu Institute of Biology Chinese Academy of Sciences Chengdu610041 China

Accurate monitoring autumn photosynthetic phenology is essential for understanding carbon cycles. The broadband green-red vegetation index (GRVI) derived from broadband red and green reflectance has been increasingly used in this field. However, the performance of GRVI in large areas remains unclear. We evaluated the performance of the normalized vegetation index (NDVI), normalized difference greenness index (NDGI), solar-induced chlorophyll fluorescence (SIF) and GRVI in tracking autumn photosynthetic phenology of alpine grassland at flux sites and the entire Tibetan Plateau (TP). The results revealed that GRVI (R2 = 0.42, RMSE = 7.32 d and Bias = 4.39 d) performed comparable with SIF (R2 = 0.46, RMSE = 5.16 d and Bias = 0.71 d) in extracting the end of the photosynthetically active season (EOS) with eddy covariance flux measurements as reference. On contrary, a systematically later EOS was estimated by NDVI (Bias = 20.72 d) and NDGI (Bias = 13.62 d). The application example on the TP collaborated these findings. The divergent performances between indicators were rooted in the photosynthesis downregulation in autumn which is jointly controlled by canopy structure and physiology. Our study highlights the unique advantage of GRVI over existing satellite indicators for estimating autumn photosynthetic phenology with high resolution and long-time span. We suggest revisiting the dynamics of autumn photosynthetic phenology using GRVI, which has significant implications on carbon uptake studies. © 2022, The Authors. All rights reserved.

关键词： Vegetation

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Measuring Network Configuration of the Yangtze River Middle Reaches Urban Agglomeration:Based on Modified Radiation Model

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Chinese geographical Science 2020年第4期30卷 677-694页

作者： ZHENG Wensheng KUANG Aiping WANG Xiaofang CHEN Jing Key Laboratory for Geographical Process Analysis&Simulation of Hubei Province Central China Normal UniversityWuhan 430079China Academy of Wuhan Metropolitan Area Hubei Development and Reform Commission&Central China Normal UniversityWuhan 430079China Hubei Institute of Economic and Social Development Central China Normal UniversityWuhan 430079China Wuhan Branch of China Tourism Academy Central China Normal UniversityWuhan 430079China

The objective of this study is to develop a framework for re-examining and re-defining the classical concepts of spatial interaction and reorganization in the urban *** introduce a modified radiation model for spatial interactions,coupled with migration big data,transport accessibility algorithm,and city competitiveness assessment for efficient distribution of the inter-city flow through the *** Yangtze River Middle Reaches(YRMR)urban agglomeration(UA)is chosen as the case study region to systematically identify and measure its spatial configuration and to gain insights for other UAs‘sustainable development in *** results are also compared with those computed by the classical gravity model to systematically discuss the applicability of spatial interaction laws and models,and related practical policies for regional sustainable development are discussed based on the findings as *** conclusions are highlighted below:1)Combining with the?city network paradigm‘and?central place theory‘can better express the spatial configurations of city systems in the context of?space of flows‘;2)The results validate the potentialities of a multi-analysis framework to assess the spatial configurations of city network based on the improved radiation model and network analysis tools;3)The applications of spatial interaction models should be considered according to the specific geographical entity and its spatial scale.

关键词： spatial interaction city network radiation model gravity model urban agglomeration

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A novel spatiotemporal fractal dimension (STFD) for assessing ecological environment of the large-scale Yangtze River Basin China from 2012 to 2021 remote sensing data

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GIScience & Remote Sensing 2025年第1期62卷

作者： Chang Li Jiao Guo Yongjun Zhang a Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province and College of Urban and Environmental Science Central China Normal University Wuhan China b School of Remote Sensing and Information Engineering Wuhan University Wuhan China

ABSTRACTThe research of remote-sensing-based ecological environment assessment (EEA) faces three major challenges: comprehensive EEA of multiple indexes; impact of time-series fluctuations, i.e. temporal uncertainty; and spatial size selection of buffer zone, i.e. spatial uncertainty. Therefore, this paper proposes a novel spatiotemporal fractal dimension (STFD) to assess ecological environment by treating space and time as a whole, which transforms the problem of spatiotemporal uncertainty of EEA into a deterministic one. The proposed STFD is computed by weighted principal component summation with trend analysis and dendrite-radius fractal dimension from seven remote sensing indexes: normalized difference vegetation index, enhanced vegetation index, leaf area index, gross primary productivity, net primary productivity, land surface temperature, and Wetness. Moreover, it has the advantages of comprehensiveness, objectivity, decorrelation, and control of spatiotemporal uncertainty. For experiments, STFD was used to access the ecological environments of the Yangtze River basin at different river grades in China from 2012 to 2021 by MODIS products. The conclusion is: (1) From 2012 to 2021, the areas with the lowest ecological index scores in the Yangtze River basin are located in the Tibetan Plateau and the eastern coastal areas, but with a trend to become better; (2) The EEAs of primary, secondary, and tertiary rivers based on STFD are 1.22, 1.04, and 1.00 respectively. This indicates an overall trend toward improvement of the EEA in Yangtze River basin; (3) The scale-free interval of STFD ranges from 6.21 to 9.21 with a buffer distance of 500 m to 10,000 m. The coefficients of determination R2are all greater than 0.97, indicating high accuracy and reliability of the fractal dimension. This study not only enriches the theory and methods of controlling spatiotemporal uncertainty of EEA, but also reveals the ecological environmental law in the Yangtze River basin at dif

关键词： Spatiotemporal fractal dimension (STFD) ecological environment assessment (EEA) remote sensing index spatiotemporal uncertainty Yangtze River basin

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A process-Based Deep Learning Hydrological Model for Daily Rainfall-Runoff simulation

SSRN

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SSRN 2023年

作者： Li, Heng Zhang, Chunxiao Chu, Wenhao Shen, Dingtao School of Information Engineering China University of Geosciences in Beijing No. 29 Xueyuan Road Haidian District Beijing100083 China Observation and Research Station of Beijing Fangshan Comprehensive Exploration Ministy of Natural Resources Beijing100083 China 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

Rainfall–runoff simulation is an old but still core task of hydrology. Deep learning (DL) models, in particular long-short-term memory (LSTM) neural networks, demonstrate unprecedented accuracy in rainfall-runoff estimation. However, the problem currently is that DL offers few physical explanation beyond its fitting capability. In this study, we developed a process-based DL model. This model implants a process-based ordinary differential equations (ODE) hydrological model into the DL architecture to enable neural networks to obtain process understanding and description of rainfall-runoff similar to process-based models. To implement the model, a simple bucket hydrological model (EXP-HYDRO) is implanted into a common Recurrent Neural Network (RNN) cell and an Entity-Aware LSTM (EA-LSTM) cell is added as a post-processor layer, namely process-based RNN-EA-LSTM (PRNN-EA-LSTM). In PRNN-EA-LSTM, the network structure is represented by the ODE of EXP-HYDRO. simulation accuracy of PRNN-EA-LSTM on the 531 catchments from the Catchment Attributes and Meteorology for Large-sample Studies dataset is almost as good as pure DL models, while maintaining the interpretable model structure like process-based hydrological models. Specifically, the median Nash-Sutcliffe efficiency (NSE) in local and regional rainfall-runoff simulation is 0.70 and 0.72 respectively. In addition, it is also found that PRNN-EA-LSTM surprisingly improves the low-value flows simulations in the runoff hydrograph and reduces the number of catchments with negative NSE, which is difficult to achieve by pure DL models. Therefore, adding physics knowledge to DL models is able to improve simulations, which could be a feasible research direction in the furture research to cognize and simulate hydrology. © 2023, The Authors. All rights reserved.

关键词： Long short-term memory

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