Shuisen Chen

Shuisen Chen
Guangzhou Institute of Geography, Guangzhou, China · Remote Sensing & GIS Technology Innovation Department

Doctor of Philosophy
Guest Editor: Special Issue of Water: Basin Water Quality Changes Associate Editor: Frontiers in Environmental Science

About

99
Publications
24,940
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
1,435
Citations
Citations since 2016
37 Research Items
1058 Citations
2016201720182019202020212022050100150200
2016201720182019202020212022050100150200
2016201720182019202020212022050100150200
2016201720182019202020212022050100150200
Introduction
Professor / PhD, Ph.D. Supervisor, Leader of Environmental Remote Sensing Team, Senior Visiting Fellow at Florida State University, Oregon State University in the United States, and University of Derby in United Kingdom). Associate Editor: Frontiers in Environmental Science. He has hosted more than 30 provincial and ministerial-level key research projects, published more than 100 papers (more than 60 in SCI / EI Journals.
Additional affiliations
January 2014 - April 2015
Guangzhou Institute of Geography, Guangzhou, China
Position
  • Professor
December 1995 - present
Guangzhou Institute of Geography, Guangzhou, China (University of CAS)
Position
  • Consultant
Description
  • Estuarine & coastal remote sensing, Agricultural remote sensing, LST remote sensing, Precision agriculture
Education
September 2002 - June 2005
Chinese Academy of Sciences
Field of study
  • Cartography and Geographic Information System
October 1989 - July 1992
Peking University
Field of study
  • Cartography and Remote Sensing

Publications

Publications (99)
Article
Full-text available
The Guest editors Shuisen Chen, Chandrasekar Nainarpandian, and Ayad M. Fadhil Al-Quraishi summarize the Special Section on Coastal Zone Remote Sensing for Environmental Sustainability. Coastal zone refers to the area where the sea and land interact. The intertidal zone (tidal flat) is affected by tidal fluctuations and seawater every day, and a c...
Article
Full-text available
Accurate water extraction and quantitative estimation of water quality are two key and challenging issues for remote sensing of water environment. Recent advances in remote sensing big data, cloud computing, and machine learning have promoted these two fields into a new era. This study reviews the operating framework and methods of remote sensing b...
Article
Full-text available
Chlorophyll-a (Chl-a) is sensitive to water constitutes and optical characteristics. An integrated machine learning method of genetic algorithm and artificial neural networks (GA-ANN) was developed to retrieve the concentration of Chl-a. In situ spectra and simultaneous water quality parameters of 107 samples from two reservoirs (Res) and coastal w...
Article
Full-text available
Predicting the suitable growth areas (SGAs) of WH under different environmental scenarios are important for sustainable management of water hyacinth (WH) which is more severe than ever due to increased water pollution caused by human activities. Based on an integrated method of Weight-of-Evidence (WOE) and Analytical Hierarchy Process (AHP), this s...
Article
Full-text available
The Huang-Huai-Hai River Basin in eastern China has suffered from severe water scarcity during recent decades due to the effects of climate change and human activities. Quantifying the changes in the amount of terrestrial freshwater available in this region and their driving factors is important for understanding hydrological processes and developi...
Article
Full-text available
The growing urbanization of oasis cities in arid and semi-arid regions of Northwest China has an adverse influence on the fragile local ecological system. Therefore, improved understanding of the coupling and coordination between urban expansion (UE) and ecosystem services value (ESv) is critical to long term sustainable development. Here, we study...
Article
Under the background of rapid urbanization, the change of urban land use structure has a great impact on ecological environments, and determination of impacts of urban spatial expansion (USE) on the urban ecosystem service value (ESV) is of particular significance to sustainable development in arid regions. To archive a better understanding of the...
Article
Full-text available
An efficient recognition and extraction of the estuarine turbidity maximum zone (TMZ) is important for studying terrestrial hydrological processes. Although many studies relevant to the TMZ have been conducted worldwide, the extraction methods and criteria used to describe the TMZ vary significantly both spatially and temporally. To improve the app...
Article
Full-text available
Remote sensing-based mapping of crop nitrogen (N) status is beneficial for precision N management over large geographic regions. Both leaf/canopy level nitrogen content and accumulation are valuable for crop nutrient diagnosis. However, previous studies mainly focused on leaf nitrogen content (LNC) estimation. The effects of growth stages on the mo...
Preprint
Full-text available
Recognizing and extracting estuarine turbidity maximum zone (TMZ) efficiently is important for kinds of terrestrial hydrological process. Although many relevant studies of TMZ have been carried out around the world, the method of extracting and criteria of describing TMZ vary greatly from different regions and different times. In order to improve t...
Article
Full-text available
Radiation transform models such as PROSAIL are widely used for crop canopy reflectance simulation and biophysical parameter inversion. The PROSAIL model basically assumes that the canopy is turbid homogenous media with a bare soil background. However, the canopy structure changes when crop growth stages develop, which is more or less a departure fr...
Article
Full-text available
Wheat yellow rust has a severe impact on wheat production and threatens food security in China; as such, an effective monitoring method is necessary at the regional scale. We propose a model for yellow rust monitoring based on Sentinel-2 multispectral images and a series of two-stage vegetation indices and meteorological data. Sensitive spectral ve...
Article
Full-text available
Accurate and quantitative assessment of the impact of natural environmental changes and human activities on total suspended solids (TSS) concentration is one of the important components of water environment protection. Due to the limits of traditional cross-sectional point monitoring, a novel water quality evaluation method based on the Markov mode...
Article
Full-text available
Yellow rust is the most extensive disease in wheat cultivation, seriously affecting crop quality and yield. This study proposes sensitive wavelet features (WFs) for wheat yellow rust monitoring based on unmanned aerial vehicle hyperspectral imagery of different infestation stages [26 days after inoculation (26 DAI) and 42 DAI]. Furthermore, we eval...
Article
Remote sensing estimates of cover-crop aboveground biomass (AGB) have been used to delineate management zones for smallholder farming in southern Brazil. In this study, we investigated the spatial resolution influence on the AGB estimates of rye, calculated from regression relationships with the Normalized Difference Vegetation Index (NDVI), and on...
Article
Full-text available
Leaf area index (LAI) is an important parameter for monitoring crop growth, and an important input parameter for crop yield prediction model, hydrological and climatic models. LAI can be used in field crop growth monitoring and verification of remote sensing products. Therefore, accurate, rapid and large-scale estimation of LAI is not only conduciv...
Article
Full-text available
The leaf area index (LAI) is not only an important parameter for monitoring crop growth, but also an important input parameter for crop yield prediction models and hydrological and climatic models. Several studies have recently been conducted to estimate crop LAI using unmanned aerial vehicle (UAV) multispectral and hyperspectral data. However, the...
Article
Full-text available
Several methods have been proposed to delineate management zones in agricultural fields, which can guide interventions of the farmers to increase crop yield. In this study, we propose a new approach using remote sensing data to delineate management zones at three farm sites located in southern Brazil. The approach is based on the hypothesis that th...
Article
Full-text available
The temporal analysis of land surface temperature (LST) has generally been studied using data from the same season, as temperature varies greatly over time. However, the cloud cover in thermal remotely sensed images and the coarse resolution of passive sensor system significantly limits data availability of same season for comparative temporal anal...
Article
Full-text available
More than 90% of the sugar production in China comes from sugarcane, which is widely grown in South China. Optical image time series have proven to be efficient for sugarcane mapping. There are, however, two limitations associated with previous research: one is that the critical observations during the sugarcane growing season are limited due to fr...
Article
Full-text available
Evacuation plans are critical in case of natural disaster to save people's lives. The priority of population evacuation on coastal areas could be useful to reduce the death toll in case of tsunami hazard. In this study, the population density remote sensing mapping approach was developed using population records in 2013 and Defense Meteorological S...
Chapter
Full-text available
Forest pests, wilting disease, wood cutting and phenological changes can affect vegetation health. The traditional method for pigment extraction followed by spectrophotometric determination or high-performance liquid chromatography (HPLC) will have to destroy the measured leaves with high costs and a long processing time. Using hyperspectral EO-1 H...
Article
Full-text available
Phosphorus (P) is an important element to litchi yield and fruit quality in addition to nitrogen (N) and potassium (K). This study was undertaken to explore the ability to predict P content using canopy reflectance. Some published indices and two ratio spectral indices (Ratio of reflectance index, RRI; Ratio of reflectance difference index, RRDI) d...
Article
Full-text available
Retrieving total suspended solids (TSS) concentration accurately is essential for sustainable management of estuaries and coasts, which plays a key role in the interaction between hydrosphere, pedosphere and atmosphere. Although many TSS retrieval models have been published, the general inversion method that is applicable to different field conditi...
Article
The movement and migration of total suspended solid (TSS) are the essential component of global material cycling and change. Based on the TSS concentrations retrieved from 112 scenes of Landsat remote sensing imageries during 1987-2015, the spatial and temporal variations of TSS concentration in high flow season and low flow seasons of six sub-regi...
Article
Full-text available
The use of unmanned aerial vehicles (UAV) can allow individual tree detection for forest inventories in a cost-effective way. The scale-space filtering (SSF) algorithm is commonly used and has the capability of detecting trees of different crown sizes. In this study, we made two improvements with regard to the existing method and implementations. F...
Article
Full-text available
Retrieving total suspended solids (TSS) concentration accurately is essential for sustainable management of estuaries and coasts, which plays a key role in the interaction of hydrosphere, pedosphere and atmosphere. Although many TSS retrieval models have been published, the general inversion method that is applicable to different field conditions i...
Article
Full-text available
The land surface temperature (Ts) is an important parameter in land surface and atmosphere studies. A set of synchronously observed “ground-truth” temperature as training data is required for some empirical/semiempirical statistical and neural network methods for retrieving Ts from passive microwave (PMW) remote sensing data. To provide information...
Article
Full-text available
2.5D map is a convenient and efficient approach to exploiting a massive three-dimensional (3D) city model in web GIS. With the rapid development of oblique airborne photogrammetry and photo-based 3D reconstruction, 3D city models are becoming more and more accessible. 3D Geographic Information System (GIS) can support the interactive visualization...
Article
The estimation of crop nitrogen status in fresh vegetation leaf using field spectroscopy is challenging due to the weak responses on leaf/canopy reflectance and the overlapping with the absorption features of other compounds. Although the spectral indices were proposed in the literature to predict leaf nitrogen content (LNC), the performance of sel...
Conference Paper
The winter crop planting can bring increased income for peasants, but also improve the soil quality by rotation system. So, the planting area monitoring remote sensing of winter crops have been an important work for agriculture planting structure statistic, management and decision in south China. At present the cloudy and rainy weather is a very se...
Conference Paper
Full-text available
under the background of climate warming, obvious decrease trend in frequency and intensity of cold wave that invaded Guangdong province, South China have been observed in recent years. However in January of 2016, a named “super cold wave” which caused serious influence on human health and agriculture production invaded Guangdong. In this paper, sat...
Article
Full-text available
Based on daily air-temperature data of 86 weather stations in recent 52 years (1961–2012) in Guangdong Province, South China, annual cold wave events in each station were calculated. Then, the spatiotemporal characteristics of cold wave over Guangdong Province were thoroughly analyzed by wavelet transform and other statistical analysis method. The...
Conference Paper
Full-text available
This study aims to quantify litchi leaf phosphorus concentration (LPC) from canopy spectra at five different growth stages. The band iteration was used to optimize the ratio vegetation index (RVI) and ratio of band difference index (RBDI). The correlation analysis, linear regression and cross validation were used to analyze the relationship between...
Article
Full-text available
This paper proposes an automatic method for detecting landslides by using an integrated approach comprising object-oriented image analysis (OOIA), a genetic algorithm (GA), and a case-based reasoning (CBR) technique. It consists of three main phases: (1) image processing and multi-image segmentation; (2) feature optimization; and (3) detecting land...
Article
Full-text available
The objective of this study was to evaluate the performance of moderate resolution imaging spectroradiometer (MODIS) 250 m based TSS (Total Suspended Solids) retrieval model for developing the model of wide-range TSS concentrations. Using field spectral and TSS data (5.8–577.2 mg/l) collected from estuary and coast of China, we calibrated (N = 40)...
Article
Full-text available
Chlorophyll-a (chl-a) is considered as a primary indicator for water quality and foods for oyster growth in Apalachicola estuarine ecosystem. Assessment of chl-a concentration variation in response to river inflow is important for estuarine environmental research and management. In this study, remote sensing analysis has been conducted to evaluate...
Article
Full-text available
The main objectives of the research described in the present paper are to develop a semi-analysis model of water clarity for case 2 waters without inputting the absorption and scattering coefficient, which are not easy to be obtained for offshore marine areas so far. Based on the Zsd (Secchi depth)inversion theory, a simple semi-analysis spectra mo...
Article
Full-text available
The temperature cooling effects of ten urban parks on surrounding environments in Guangzhou, southern China, are analysed and quantified using Landsat Thematic Mapper data. The results show that there is a temperature rise (about 1.74°C) between green spaces of parks and bare-ground areas of the surroundings. For those parks whose green area percen...
Article
Highlight ► The land surface was classified into five types based on different vegetation and roughness condition. ► Improving a roughness index using three channels of AMSR-E Tb. ► Developing a SSM model integrating Tb, MPDI and observed temperature data. ► Inversed results discriminated over a broad range of SSM (7–73%, RMSE: 6.36%). ► The errors...
Article
An important drawback of the partial least squares regression (PLSR) method is the complexity of the transfer of spectral prediction models from one sensor to another. The performance of four visible and near infrared (VNIR) spectral indices in predicting the soil organic matter (SOM) content was compared to that of PLSR model using 30 soil samples...
Article
Full-text available
Spectra, salinity, total suspended solids and colored dissolved organic matter are sampled at 44 locations in the Pearl River estuary on December 18, 19 and 21, 2006. The samples are analyzed. Based on the experimental results, the relationship between the absorption coefficient of chromophoric dissolved organic matter (CDOM; g 400) and the remote...
Article
Full-text available
Spectra,salinity,total suspended solids and colored dissolved organic matter are sampled at 44 locations in the Pearl River estuary on December 18,19 and 21,2006. The samples are analyzed. Based on the experimental results,the relationship between the absorption coefficient of chromophoric dissolved organic matter ( CDOM; g400 ) and the remote sens...
Conference Paper
Full-text available
Derivative indices may be successfully applied to estimate concentrations of optical water constitutes from remotely sensed data. Reflectance, spectral derivative and spectral ratio technologies are used to evaluate the potentiality of developing spectral models for the prediction of three water quality parameters (pH, NH4-N and DO). Results indica...
Article
Precision fruits system is based on new tools and sources of information provided by modern technologies, such as the global positioning systems (GPS), remote sensing (RS), geographic information system (GIS) and variable-rate technologies. The study introduced foreign and domestic situation of precision fruits in detail. The precision lychee plant...
Article
Mapping of total suspended solids (TSS) was conducted to investigate rainstorm-induced characteristic of sediment plume in the coastal waters of Apalachicola Bay. An improved TSS quadratic polynomial regression model (Calibration: R2=0.8586, N=32; validation: RMSE of 4.76 mg/l, N=30) for MODIS remote sensing was presented in this study. TSS mapping...
Article
Full-text available
Nutrient availability can affect the cracking rate of the litchi fruit tree, and the nutrient content of the canopy can be used to monitor availability and fertilizer needs of the litchi orchard. In this study, we analyzed the correlation between calcium (Ca), magnesium (Mg) and potassium (K) in canopy leaves and four indices of in situ spectral da...
Article
Full-text available
Accurate assessment of phytoplankton chlorophyll-a (Chla) concentration in turbid waters by means of remote sensing was challenging due to the optical complexity of turbid waters. Recently, a conceptual model containing reflectance in three spectral bands in the red and near-infrared range of the spectrum was suggested for retrieving Chla concentra...
Article
Remote sensing of total suspended solids (TSS) by satellite techniques in estuaries and bays plays an important role in monitoring water quality over a large area. It is valuable to the management of coastal water environment and ecosystems. In this study, remote sensing mapping of TSS was conducted to investigate the effects of rainstorm events on...
Article
The analysis of the passive microwave radiance transfer equation certifies that there is a linear relationship between satellite-generated brightness temperatures (BT) and in situ observation temperature and that land surface temperature (LST) is largely influenced by vegetation cover conditions. Microwave polarization difference index (MPDI) is an...