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Articles by Mingming Jia
Tracking vegetation disturbance, recovery, and sustainability in open-pit mining areas of Beijing–Tianjin–Hebei Region from 2000 to 2024
?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom. Abstract Evaluating the overarching efficacy of mine greening initiatives and supporting land resource management within open-pit mining areas requires accurate long-term monitoring of both vegetative degradation and its subsequent regenerative phases.
Significant Decline in Carbon Storage at the Edges of Mangrove Forest
1 Introduction Mangroves act as major carbon sinks and biodiversity hotspots, offering essential ecosystem services that help mitigate climate change and safeguard coastlines (Adame et al., 2021; Atwood et al., 2017; Cannicci et al., 2021).
Unexpected expansion and regrowth in Earth’s mangrove forests over the past four decades
Editor’s summary Structured Abstract Abstract Supplementary Materials References and Notes Information & Authors Metrics & Citations Check Access References Figures Tables Media Share Editor’s summary Mangrove forests are coastal habitats that serve as nurseries for economically important fisheries.
Dynamics of Multi-Block Rocking Assemblies
Y.Chen, M.Jia, G.Milani, and D.Lu, “Dynamics of Multi-Block Rocking Assemblies.” Earthquake Engineering & Structural Dynamics (2026): . https://doi.org/10.1002/eqe.70196 Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement The data that support the findings of this study are available from the corresponding author upon reasonable request.
An integer-valued spatial autoregressive model with application to COVID-19 counts
Advanced search Journal of Applied Statistics Latest Articles Submit an article Journal homepage Full Article Figures & data References Citations Metrics Reprints & Permissions Read this article /doi/full/10.1080/02664763.2025.2565593?needAccess=true Abstract In order to effectively capture the spatial dependencies of integer-valued count data, this paper introduces an integer-valued spatial autoregressive model based on negative binomial thinning operator.
Full article: Improving aboveground biomass estimation by integrating ICESat-2 LiDAR sampling and tree species stratification strategies using multi-source datasets
?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom. ABSTRACT Accurately estimating forest aboveground biomass (AGB) is essential for achieving suitable management of forests and reducing uncertainties in carbon dynamics assessment. Utilization of multi-source datasets provides extensive opportunities to estimate AGB.
Experimental evaluation and microscopic analysis of the sustainable ultra‐high‐performance concrete after exposure to high temperatures
REFERENCES 1, , , . Temperature effect on strength and chloride migration in nuclear power plant concrete. Constr Build Mater. 2023; 405:133345. 2, , , . Differential axial shortening and its effects in high rise buildings with composite concrete filled tube columns. Constr Build Mater. 2017; 143: 659–672. 3, , , , , , et al.
Prediction Modeling and Driving Factor Analysis of Spatial Distribution of CO2 Emissions from Urban Land in the Yangtze River Economic Belt, China
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Accurate and Rapid Extraction of Aquatic Vegetation in the China Side of the Amur River Basin Based on Landsat Imagery
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Evaluating Ecosystem Service Value Changes in Mangrove Forests in Guangxi, China, from 2016 to 2020
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Evaluating the Potential of Sentinel-2 Time Series Imagery and Machine Learning for Tree Species Classification in a Mountainous Forest
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Continuous Tracking of Forest Disturbance and Recovery in the Greater Khingan Mountains from Annual Landsat Imagery
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
A large‐scale dataset of buildings and construction sites
REFERENCES , , , & (2017). Giga-voxel computational morphogenesis for structural design, Nature, 550, 84–86. https://doi.org/10.1038/nature23911 , , & (2020). Rebar detection and localization for bridge deck inspection and evaluation using deep residual networks. Automation in Construction, 120, 103393. https://doi.org/10.1016/j.autcon.2020.103393 , , , , & (2021). Dataset and benchmark for detecting moving objects in construction sites. Automation in Construction, 122, 103482.
Deriving fine-scale patterns of sea surface temperature in coral reef habitats using the Landsat 8 thermal infrared sensor
1 Introduction Coral reef ecosystems have rich biodiversity and high productivity, but they are vulnerable to various environmental stressors induced by climate change (Bellwood et al., 2004). Abnormally high sea temperature is one of the most serious threats affecting coral reefs and it can lead to frequent large-scale coral bleaching and coral degradation in various regions of the world (Skirving et al., 2019; Eakin et al., 2022).
Mangrove forest mapping from object-oriented multi-feature ensemble classification using Sentinel-2 images
1 Introduction Mangroves represent a distinctive forest community found in tropical and subtropical regions (Wang et al., 2019; Zhao and Qin, 2022; Jia et al., 2023), characterized by their intricate structure, diverse species, significant productivity, exceptional ecological functions, and substantial social and economic value (Giri et al., 2008; Kuenzer et al., 2011; Xia et al., 2020).
Predicting the regime shift of coastal wetlands based on the bistability features in the intertidal zone: A case study in the Liaohe estuary
Xin Jia1,2, Juan Yang1*, Chen Wang2*, Baolin Liu1, HouYi Zheng3, Yu Zou4, Heng Wang5 and Huan Zhao2 1School of Ocean Sciences, China University of Geosciences, Beijing, China 2State Environmental Protection Key Laboratory of Satellite Remote Sensing/Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment, Beijing, China 3General Institute of Chemical Geology Survey, China Chemical Geology and Mine Bureau, Beijing, China 4Guangxi Institute of Geological...
Nonlinear effects of blue-green space variables on urban cold islands in Zhengzhou analyzed with random forest regression
1 Introduction The urban heat island effect has become one of the most pressing ecological and environmental challenges globally, due to the rapid acceleration of global urbanization (Yu et al., 2019b; Liang et al., 2020; Ren et al., 2021). Urban parks formed by landscapes including bodies of water and green vegetation are effective ways to alleviate the urban heat island effect and improve local thermal environments (Santamouris et al., 2011; Sun et al., 2012; Gunawardena et al., 2017).
Land Use Change and Hotspot Identification in Harbin–Changchun Urban Agglomeration in China from 1990 to 2020
Abstract : An urban agglomeration is a growth pole of regional development. However, the land uses have changed significantly due to the impacts of intense human activities. Analyzing the overall change characteristics of land use and hotspots has direct reference value for the formulation and implementation of land use management measures.
Frontiers | Science-policy-public interface toward ocean sustainability: An empirical study using legal documents, scientific publications, and public inquiry logs in Japan
1. Introduction It is widely recognized that sustainable development can be achieved on social and economic justice as well as within the biophysical limits of the earth system (Brundtland 1987; United Nations, 2013). Humankind needs systemic change that involves changes to society itself to realize a sustainable future (Patterson et al., 2017; Bennett et al., 2019; Diaz et al., 2019).
Uniaxial Compressive Stress–Strain Model of Jujube Nucleus Concrete following Exposure to Elevated Temperatures
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Synergistic multi-altimeter for estimating water level in the coastal zone of Beibu Gulf using SEL, ALES + and BFAST algorithms
1 Introduction The coastal zones are of enormous economic and social value, where about 40% of the population in the world lives, providing about $1.5 trillion in economic value to mankind from the ocean (Vignudelli et al., 2019; Melet et al., 2020). In the context of climate warming, the global mean sea level is continuously rising, and the risk of sea level rise in coastal areas has further increased.
Influence of the Vertical Component of Yangbi Ground Motion on the Dynamic Response of RC Frame and Brick-Concrete Structure
Abstract : An earthquake of magnitude 6.4 occurred in Yangbi County, Yunnan Province on 21 May 2021, with a focal depth of 8 km, and strong ground motion with vertical components was monitored by Yangbi station (53YBX). A total of 14,122 houses were damaged in Yangbi in the earthquake, and 232 of them collapsed. Vertical components of ground motions have been gained more attention for its effect on structure’s seismic response in epicenter or near-fault regions at present.
Summertime dissolved oxygen concentration and hypoxia in the Zhejiang coastal area
1National Engineering Research Center for Marine Aquaculture, Zhejiang Ocean University, Zhoushan, China 2College of Marine Science and Technology, Zhejiang Ocean University, Zhoushan, China 3Zhejiang Marine Ecological Environment Monitoring Center, Zhoushan, China 4Zhoushan Marine Workstation, State Oceanic Administration (SOA), Zhoushan, China Introduction: The Zhejiang coastal area is the most important fishery ground in East China Sea, located south of the Yangtze River Estuary.
Long-term human expansion and the environmental impacts on the coastal zone of China
Yafei Wang1,2*, Jinfeng Liao1,2, Yuxuan Ye1,2,3 and Jie Fan1,2* 1Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China 2Country College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China 3School of Geography, Nanjing Normal University, Nanjing, China Monitoring the long-term human expansions in coastal zones and evaluating their associated...
Characteristics of shoreline changes around the South China Sea from 1980 to 2020
Yikun Cui1,2,3, Fengqin Yan2,4*, Bin He1,3, Chengyuan Ju1,3 and Fenzhen Su1,2,3,4* 1School of Geographic and Ocean Science, Nanjing University, Nanjing, China 2State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China 3Collaborative Innovation Center of South China Sea Studies, Nanjing University, Nanjing, China 4College of Resources and Environment, University of Chinese...
Proposed improvement of coastal habitat resilience: The case study of Pantano forest of Policoro in southern Italy
Domenica Mirauda1,2*, Rocco De Donato1 and Giuseppe Santandrea1 1School of Engineering, Basilicata University, Potenza, Italy 2Fisheries Local Action Groups (FLAG) Coast to Coast, Rotondella, Italy In the last decades, climate change and the rapid urbanization due to the development of the coastal economy have led to biodiversity loss and the fragmentation of habitat in many coastal zones. The presence of protected areas cannot prevent the progress of land degradation.
Evaluation of LAI Estimation of Mangrove Communities Using DLR and ELR Algorithms With UAV, Hyperspectral, and SAR Images
Bolin Fu1*†, Jun Sun1†, Yeqiao Wang2, Wenlan Yang1, Hongchang He1, Lilong Liu1, Liangke Huang1, Donglin Fan1 and Ertao Gao1 1College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China 2Department of Natural Resources Science, University of Rhode Island, Kingston, RI, United States The high-precision estimation of mangrove leaf area index (LAI) using a deep learning regression algorithm (DLR) always requires a large amount of training sample data.
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