Ling Wu

ORCID: 0000-0003-1712-191X
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About
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Research Areas
  • Remote Sensing in Agriculture
  • Land Use and Ecosystem Services
  • Remote Sensing and Land Use
  • Remote-Sensing Image Classification
  • Leaf Properties and Growth Measurement
  • Remote Sensing and LiDAR Applications
  • Spectroscopy and Chemometric Analyses
  • Aquatic Ecosystems and Phytoplankton Dynamics
  • Marine and coastal ecosystems
  • Plant Water Relations and Carbon Dynamics
  • Smart Agriculture and AI
  • Ecology and Vegetation Dynamics Studies
  • Soil Geostatistics and Mapping
  • Software Engineering Research
  • Advanced Image Fusion Techniques
  • Species Distribution and Climate Change
  • Flood Risk Assessment and Management
  • Water Quality Monitoring Technologies
  • Traffic and Road Safety
  • Urban Heat Island Mitigation
  • Safety Warnings and Signage
  • Facial Nerve Paralysis Treatment and Research
  • Fish Ecology and Management Studies
  • Horticultural and Viticultural Research
  • Plant Ecology and Soil Science

China University of Geosciences (Beijing)
2013-2025

Soochow University
2025

Wuxi Ninth People's Hospital
2025

Dongfeng Motor Group (China)
2024

China University of Mining and Technology
2014-2023

Ministry of Ecology and Environment
2023

Lanzhou Jiaotong University
2022-2023

Peking University
2010-2021

Satellite Application Center for Ecology and Environment
2021

Xi'an Aeronautical University
2019

Tracking cropland change and its spatiotemporal characteristics can provide a scientific basis for assessments of ecological restoration in reclamation areas. In 1998, an project (Converting Farmland to Lake) was launched Dongting Lake, China, which original lake areas reclaimed were converted back or poplar cultivation This study characterized the resulting long-term (1998–2018) patterns using LandTrendr algorithm with Landsat time-series data derived from Google Earth Engine (GEE). Of...

10.3390/rs11101234 article EN cc-by Remote Sensing 2019-05-24

Land cover changes, especially excessive economic forest plantations, have significantly threatened the ecological security of West Dongting Lake wetland in China. This work aimed to investigate spatiotemporal dynamics forests region from 2000 2018 using a reconstructed monthly Landsat NDVI time series. The multi-type including conversion another land category, category forest, and (such as flooding replantation post-deforestation), categories before after change were effectively detected by...

10.3390/rs12020341 article EN cc-by Remote Sensing 2020-01-20

Eucalyptus plantations are expanding rapidly in southern China owing to their short rotation periods and high wood yields. Determining the plantation dynamics of eucalyptus facilitates accurate operational planning, maximizes benefits, allows scientific management sustainable development plantations. This study proposes a sliding-time-window change detection (STWCD) approach for holistic characterization analysis between 1990 2019 through dense Landsat time-series data. To achieve this,...

10.3390/rs16050744 article EN cc-by Remote Sensing 2024-02-21

Formulae display:?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax order to improve their display. Uncheck the box turn off. This feature requires Javascript. Click on a formula zoom.

10.1080/15481603.2019.1658960 article EN public-domain GIScience & Remote Sensing 2019-09-02

Karst rocky desertification (KRD) has become a major long-term problem for the ecological environment in karst areas of southwest China. The aim this study was to monitor and evaluate level Pingguo County, Guangxi Province, China, by tracking seasonal spectral changes rock vegetation cover. Landsat-8 Operational Land Imager (OLI) images field measurements were collected novel index (KRDI) constructed as an indicator based on greenness, humidity, brightness. Then, time-spectrum feature space...

10.1016/j.jag.2021.102337 article EN cc-by-nc-nd International Journal of Applied Earth Observation and Geoinformation 2021-04-17

Satellite data for studying surface dynamics in heterogeneous landscapes are missing due to frequent cloud contamination, low temporal resolution, and technological difficulties developing satellites. A modified spatiotemporal fusion algorithm predicting the reflectance of paddy rice is presented this paper. The uses phenological information extracted from a moderate-resolution imaging spectroradiometer enhanced vegetation index time series improve spatial adaptive model (ESTARFM). tested...

10.3390/rs10050772 article EN cc-by Remote Sensing 2018-05-17

An effective satellite observation system is developed to retrieve the diatom concentration in freshwater ecosystems that could be utilized for understanding aquatic biogeochemical cycles. Although singular value decomposition-based retrieval model can reflect complicated dynamics, spatial distribution and temporal trend on a large scale, as well its driving mechanism, remain prevalently elusive. Based Google Earth Engine platform, this study uses Sentinel-2 MultiSpectral Instrument imagery...

10.3390/rs17020309 article EN cc-by Remote Sensing 2025-01-16

In order to improve ineffective warning prioritization of static analysis tools, various approaches have been proposed compute a ranking score for each warning. these approaches, an effective training set is vital in exploring which factors impact the and how. While manual build can achieve high effectiveness but suffer from low efficiency (i.e., cost), existing automatic effectiveness. this paper, we propose approach constructing set. our approach, select three categories as input...

10.1145/1858996.1859013 article EN 2010-09-20

Monitoring of heavy metal stress in crops is vital for food security and agricultural production management. Traditional remote sensing methods focus on the stress-induced changes to aerial organs plants, whereas roots are considered be more directly severely stressed. In this study, dry weight rice (WRT) was used as an indicator monitoring cadmium (Cd) levels tissues. The World Food Study (WOFOST) model a widely analysis tool describing fundamental processes crop growth, has been tested...

10.1109/jstars.2014.2371058 article EN IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2014-11-26

Accurate and timely information about rice planting areas is essential for crop yield estimation, global climate change agricultural resource management. In this study, we present a novel pixel-level classification approach that uses convolutional neural network (CNN) model to extract the features of enhanced vegetation index (EVI) time series curve classification. The goal explore practicability deep learning techniques recognition in complex landscape regions, where easily confused with...

10.3390/ijgi7110418 article EN cc-by ISPRS International Journal of Geo-Information 2018-10-30

Resilience is the capacity of an ecosystem to respond and recover from damage or stress. It can inherently exhibit cycle feedback disturbed recovery process for a specified period. The current availability dense consistent time series satellite images holds promise monitoring forest resilience. aim this study establish resilience indicators using Landsat assess in response maximum disturbance magnitude hilly red soil region, Hengyang Basin, Southern China. To achieve this, area 1987 2017...

10.1016/j.ecolind.2020.106985 article EN cc-by-nc-nd Ecological Indicators 2020-10-13

Southern China is a major rice-producing region where mixed rice cropping systems (single (SCR) and double-cropping (DCR)) are widely practiced. An accurate estimation of the spatiotemporal changes in important for understanding dynamic paddy system developing suitable agricultural policies. However, few studies focus on mapping long-term this subtropical region. The objective research 1) to improve phenology- pixel-based (PPPM) algorithm by simultaneously considering phenology signatures...

10.1080/15481603.2021.1943214 article EN GIScience & Remote Sensing 2021-07-04

Ground subsidence caused by mining activities has extensively and chronically affected people living near areas. Remote sensing images provide temporally spatially continuous observations of surface natural resources. In order to accurately understand continuously observe areas, this study investigated the spatiotemporal dynamics using long-term Landsat time-series. The area was a typical region in Shanxi Province, China, with long history activity. from 1986 2019, as well reference data,...

10.1016/j.jag.2021.102447 article EN cc-by-nc-nd International Journal of Applied Earth Observation and Geoinformation 2021-07-24

Due to the benefits of cloud computing, many desktop applications have been migrated into cloud. In order program in cloud, lots IDEs are also moved at recent years. Although online IDE can bring developers a lot convenience for their developing process, some tough problems still less touched. This paper summarized three main kinds actual from aspects (Function implementation, Security guarantee, Advanced utilization) encountered when using IDE, and proposed solutions (Services composition,...

10.1109/services.2011.74 article EN 2011-07-01

Timely assessment of crop growth conditions under heavy metal pollution is great significance for agricultural decision-making and estimation productivity. The object this study to assess the effects stress on physiological functions rice through spatial-temporal analysis fraction absorbed photosynthetically active radiation (FAPAR). calculation daily FAPAR conducted based a coupled model consisting leaf-canopy radiative transfer World Food Study Model (WOFOST). These two models are...

10.3390/rs9050424 article EN cc-by Remote Sensing 2017-04-29

Recently many popular websites such as Twitter and Flickr expose their data through web service APIs, enabling third-party organizations to develop client applications that provide function-alities beyond what the original offer. These appli-cations should follow certain constraints in order correctly in-teract with services. One common type of is Dependency Constraints on Parameters. Given a operation O its parameters Pi, Pj, these describe requirement one parameter Pi dependent conditions...

10.1145/2488388.2488512 article EN 2013-05-13
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