Linling Tang

ORCID: 0000-0003-4505-6684
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About
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Research Areas
  • Atmospheric chemistry and aerosols
  • Hydrology and Watershed Management Studies
  • Air Quality and Health Impacts
  • Plant Water Relations and Carbon Dynamics
  • Indoor and Outdoor Localization Technologies
  • Atmospheric and Environmental Gas Dynamics
  • Atmospheric aerosols and clouds
  • Remote Sensing in Agriculture
  • Remote Sensing and Land Use
  • Speech and Audio Processing
  • Underwater Vehicles and Communication Systems
  • Climate change and permafrost
  • Advanced Measurement and Metrology Techniques
  • Target Tracking and Data Fusion in Sensor Networks
  • Climate change impacts on agriculture
  • Satellite Image Processing and Photogrammetry
  • Remote Sensing and LiDAR Applications
  • Methane Hydrates and Related Phenomena
  • Hydrology and Drought Analysis
  • Environmental Monitoring and Data Management
  • Flood Risk Assessment and Management
  • Distributed Sensor Networks and Detection Algorithms
  • Cryospheric studies and observations
  • Climate variability and models
  • Atmospheric Ozone and Climate

Jiangxi Normal University
2020-2022

State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
2016-2020

Wuhan University
2016-2020

Yunnan Agricultural University
2015

Abstract. A Nationwide Nitrogen Deposition Monitoring Network (NNDMN) containing 43 monitoring sites was established in China to measure gaseous NH3, NO2, and HNO3 particulate NH4+ NO3− air and/or precipitation from 2010 2014. Wet/bulk deposition fluxes of Nr species were collected by gauge method measured continuous-flow analyzer; dry estimated using airborne concentration measurements inferential models. Our observations reveal large spatial variations atmospheric concentrations wet/bulk...

10.5194/acp-15-12345-2015 article EN cc-by Atmospheric chemistry and physics 2015-11-09

Abstract. Global reactive nitrogen (Nr) deposition to terrestrial ecosystems has increased dramatically since the industrial revolution. This is especially true in recent decades China due continuous economic growth. However, there are no comprehensive reports of both measured dry and wet Nr across China. We therefore conducted a multiple-year study during period mainly from 2010 2014 monitor atmospheric concentrations five major species gaseous NH3, NO2 HNO3, inorganic (NH4+ NO3−) particles...

10.5194/acpd-15-18365-2015 preprint EN cc-by 2015-07-07

An increase in vegetation greenness can improve ecosystem productivity, but also reduce the water supply, creating potential for conflicting demands between ecosystems and humans. This problem has been well-assessed is most evident dry environments. However, humid regions, effects of on yields under drought conditions are not well understood. To address this gap, we focused Poyang Lake watershed region southern China. Based Standardized Precipitation Evapotranspiration Index a...

10.3390/f9010024 article EN Forests 2018-01-10

Device-free localization (DFL) based on wireless sensor networks (WSNs) is expected to detect and locate a person without the need for any devices. Radio tomographic imaging (RTI) has attracted wide attention from researchers as an emerging important technology in WSNs. However, there much room improvement estimation accuracy. In this paper, we propose geometry-based elliptical model adopt orthogonal matching pursuit (OMP) algorithm. The new uses not only line-of-sight information, but also...

10.3390/s16040577 article EN cc-by Sensors 2016-04-22

Device-free localization (DFL), which can detect and locate a person by measuring the changes in received signals, is one of primary techniques wireless sensor networks. Recently, research on fingerprint-based changing environments has been receiving increasing attention. However, when environment due to furniture or other objects are moved, there still much room for accuracy improvement DFL. In this paper, we propose novel DFL algorithm environments: features an enhanced channel-selection...

10.1109/access.2017.2784387 article EN cc-by-nc-nd IEEE Access 2017-12-18

Abstract Quantifying the drivers of terrestrial vegetation dynamics is critical for monitoring ecosystem carbon sequestration and bioenergy production. Large scale can be observed using leaf area index (LAI) derived from satellite data as a measure ‘greenness’. Previous studies have quantified effects climate change dioxide (CO 2 ) fertilization on greenness. In contrast, specific roles land-use-related (LURDs) greenness not been characterized. Here, we combined Interior-Point...

10.1088/1748-9326/ac37d2 article EN cc-by Environmental Research Letters 2021-11-09

Given the advantages of remote sensing, an increasing number satellite aerosol optical depths (AOD) have been utilized to evaluate near-ground PM2.5. However, spatiotemporal relationship between AODs and PM2.5 still lacks a comprehensive investigation, especially in some regions with severe pollution within China. Here, we investigated relationships several near-surface concentration across China its 14 representative during 2016–2018 using correlation coefficient (R), PM2.5/AOD ratio (η),...

10.3390/rs14225841 article EN cc-by Remote Sensing 2022-11-18

Device-free localization (DFL) is expected to detect and locate a person by measuring the changes of received signals in wireless sensor networks without need any device. Fingerprint-based DFL changeable environments has attracted wide attenuation recent years. However, accuracy fingerprint-based could be improved further changing environments. In this paper, we adopt logistic regression classifier counteract bad influence means selecting average channel. The experiment results show that...

10.1109/icsp.2016.7877992 article EN 2016-11-01

Forest resources play an important ecological role on the earth. The traditional forest resource inventory methods are grueling and time-consuming. It is insufficient by using single-date remote sensing data to identify vegetation types. Fortunately, multitemporal images have advantages of seasonal variation pattern in different vegetation. Duchang County as a study case, GF-1, Landsat8 MODIS NDVI were fused obtain enough spatial temporal resolution for types distinguished utilizing STNLFFM...

10.1109/igarss.2019.8897907 article EN IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium 2019-07-01

Process-based ecosystem models are increasingly used to simulate the effects of a changing environment on vegetation growth in past, present, and future. To improve simulation, multimodel ensemble mean (MME) Bayesian model averaging (EBMA) methods often optimizing integration ensemble. These two were compared with four other optimization techniques, including genetic algorithm (GA), particle swarm (PSO), cuckoo search (CS), interior-point method (IPM), evaluate their efficiency this article....

10.1109/tgrs.2020.2993641 article EN IEEE Transactions on Geoscience and Remote Sensing 2020-06-03

Recently, a comment paper on "A New Elliptical Model for Device-Free Localization" (Sensors 2016, 16, 577) has been presented, and the authors have provided modified model. However, there are still some misunderstandings. In this reply, we further explain proposed elliptical model in to make it more understandable.

10.3390/s18030713 article EN cc-by Sensors 2018-02-27

Vegetation cover and climate are the major factors affecting water carbon cycle altering ecosystem services, but their impacts on coupling of confounded at watershed scale. This study aimed to quantify vegetation two important parameters (gross productivity (GEP) yield) in over Poyang Lake from 1984 2013. A modified Water Supply Stress Index model (WaSSI) was used address this issue through several scenario designs. The witnessed dramatic increases cover, warming drying trends. preliminary...

10.1109/igarss.2019.8898411 article EN IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium 2019-07-01
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