Using Remote Sensing to Assess the Impact of Human Activities on Water Quality: Case Study of Lake Taihu, China

2015 ◽  
pp. 85-110 ◽  
Author(s):  
Paolo Villa ◽  
Hongtao Duan ◽  
Steven Arthur Loiselle
Keyword(s):  
Remote Sensing ◽  
Water Quality ◽  
Human Activities ◽  
Lake Taihu ◽  
The Impact

scholarly journals Remote Sensing Evaluation of Total Suspended Solids Dynamic with Markov Model: A Case Study of Inland Reservoir across Administrative Boundary in South China

Sensors ◽  
2020 ◽  
Vol 20 (23) ◽  
pp. 6911
Author(s):  
Jing Zhao ◽  
Fujie Zhang ◽  
Shuisen Chen ◽  
Chongyang Wang ◽  
Jinyue Chen ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Water Quality ◽  
Markov Model ◽  
South China ◽  
Human Activities ◽  
Suspended Solids ◽  
Water Environment ◽  
Total Suspended Solids ◽  
Large Reservoir ◽  
The Impact

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 model and remote sensing retrieval is proposed to realize the innovation of large-scale spatial monitoring across administrative boundaries. Additionally, to explore the spatiotemporal characteristics and driving factors of TSS, a new three-band remote sensing model of TSS was built by regression analysis for the inland reservoir using the synchronous field spectral data, water quality samples and remote sensing data in the trans-provincial Hedi Reservoir in the Guangdong and Guangxi Provinces of South China. The results show that: (1) The three-band model based on the OLI sensor explained about 82% of the TSS concentration variation (R2=0.81, N=34,  p value<0.01) with an acceptable validation accuracy (RMSE=6.24 mg/L,MRE=18.02%, N=15), which is basically the first model of its kind available in South China. (2) The TSS concentration has spatial distribution characteristics of high upstream and low downstream, where the average TSS at 31.54 mg/L in the upstream are 2.5 times those of the downstream (12.55 mg/L). (3) Different seasons and rainfall are important factors affecting the TSS in the upstream cross-border area, the TSS in the dry season are higher with average TSS of 33.66 mg/L and TSS are negatively correlated with rainfall from upstream mankind activity. Generally, TSS are higher in rainy seasons than those in dry seasons. However, the result shows that TSS are negatively correlated with rainfall, which means human activities have higher impacts on water quality than climate change. (4) The Markov dynamic evaluation results show that the water quality improvement in the upstream Shijiao Town is the most obvious, especially in 2018, the improvement in the water quality level crossed three levels and the TSS were the lowest. This study provided a technical method for remote sensing dynamic monitoring of water quality in a large reservoir, which is of great significance for remediation of the water environment and the effective evaluation of the river and lake chief system in China.

scholarly journals Multitemporal Mapping of Post-Fire Land Cover Using Multiplatform PRISMA Hyperspectral and Sentinel-UAV Multispectral Data: Insights from Case Studies in Portugal and Italy

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 3982
Author(s):  
Giacomo Lazzeri ◽  
William Frodella ◽  
Guglielmo Rossi ◽  
Sandro Moretti
Keyword(s):  
Remote Sensing ◽  
Large Scale ◽  
Fire Severity ◽  
Experimental Methodology ◽  
Vegetation Recovery ◽  
Burned Area ◽  
Remotely Sensed Data ◽  
The Impact ◽  
Sentinel 2

Wildfires have affected global forests and the Mediterranean area with increasing recurrency and intensity in the last years, with climate change resulting in reduced precipitations and higher temperatures. To assess the impact of wildfires on the environment, burned area mapping has become progressively more relevant. Initially carried out via field sketches, the advent of satellite remote sensing opened new possibilities, reducing the cost uncertainty and safety of the previous techniques. In the present study an experimental methodology was adopted to test the potential of advanced remote sensing techniques such as multispectral Sentinel-2, PRISMA hyperspectral satellite, and UAV (unmanned aerial vehicle) remotely-sensed data for the multitemporal mapping of burned areas by soil–vegetation recovery analysis in two test sites in Portugal and Italy. In case study one, innovative multiplatform data classification was performed with the correlation between Sentinel-2 RBR (relativized burn ratio) fire severity classes and the scene hyperspectral signature, performed with a pixel-by-pixel comparison leading to a converging classification. In the adopted methodology, RBR burned area analysis and vegetation recovery was tested for accordance with biophysical vegetation parameters (LAI, fCover, and fAPAR). In case study two, a UAV-sensed NDVI index was adopted for high-resolution mapping data collection. At a large scale, the Sentinel-2 RBR index proved to be efficient for burned area analysis, from both fire severity and vegetation recovery phenomena perspectives. Despite the elapsed time between the event and the acquisition, PRISMA hyperspectral converging classification based on Sentinel-2 was able to detect and discriminate different spectral signatures corresponding to different fire severity classes. At a slope scale, the UAV platform proved to be an effective tool for mapping and characterizing the burned area, giving clear advantage with respect to filed GPS mapping. Results highlighted that UAV platforms, if equipped with a hyperspectral sensor and used in a synergistic approach with PRISMA, would create a useful tool for satellite acquired data scene classification, allowing for the acquisition of a ground truth.

scholarly journals Development of transport infrastructure as precondition of economy and tourism development: Case study municipality of Negotin

2013 ◽  
Vol 93 (3) ◽  
pp. 145-157
Author(s):  
Nikola Ristic ◽  
Bogdan Lukic ◽  
Dejan Filipovic ◽  
Velimir Secerov
Keyword(s):  
Functional Connectivity ◽  
Human Activities ◽  
Tourism Development ◽  
Transport Network ◽  
Transport Infrastructure ◽  
Mutual Interaction ◽  
The Impact

Developed transport network is a precondition for economic and tourism development of areas and largely follows and allows the development of human activities. If it is developing without plan, spontaneous and without coordination it may be a limit to the overall development. The aim of research was to define developmental basis for the revitalization, improvement and construction of transport infrastructure in the municipality of Negotin. The paper will present the mutual interaction and functional connectivity of planning solutions for development of transport infrastructure and development of economic and tourism, as well as the impact which planning solutions have on the evolvent of other spatial and city functions.

scholarly journals Analysis of The Impact of Industrial Activities Towards River Vacancy Viewed from BODS, CODS, and TSS Using The QUAL2KW Software Method Approach (Case Study: Klampok River, Semarang District)

2020 ◽  
Vol 202 ◽  
pp. 04008
Author(s):  
Nurandani Hardyanti ◽  
Winardi D Nugraha ◽  
Vito Edgar S B
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
River Water ◽  
Catchment Area ◽  
Industrial Sector ◽  
Industrial Activities ◽  
The Impact ◽  
Method Approach

The industrial sector is one of the important sector in supporting the development of a region. Utilization of land around the river that is used for industrial activities will affect the quality of river water. The river can be polluted by waste personinating from industries that operating around the river. The catchment area that used for industry, agriculture, urban development, and the use of land for making roads (gravel or footpaths) can affect the flow of surface water and sediments that it brings to the river. Waste generated from industrial activities can pollute rivers which are a source of water for daily needs and affect the development of biota in them. This can affect river water quality

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