scholarly journals Applications of Satellite Remote Sensing of Nighttime Light Observations: Advances, Challenges, and Perspectives

2019 ◽  
Vol 11 (17) ◽  
pp. 1971 ◽  
Author(s):  
Zhao ◽  
Zhou ◽  
Li ◽  
Cao ◽  
He ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Human Activities ◽  
Energy Use ◽  
Environmental Changes ◽  
Deep Understanding ◽  
Historical Review ◽  
Ancillary Data ◽  
Nighttime Light Data ◽  
Nighttime Light ◽  
Changing World

Nighttime light observations from remote sensing provide us with a timely and spatially explicit measure of human activities, and therefore enable a host of applications such as tracking urbanization and socioeconomic dynamics, evaluating armed conflicts and disasters, investigating fisheries, assessing greenhouse gas emissions and energy use, and analyzing light pollution and health effects. The new and improved sensors, algorithms, and products for nighttime lights, in association with other Earth observations and ancillary data (e.g., geo-located big data), together offer great potential for a deep understanding of human activities and related environmental consequences in a changing world. This paper reviews the advances of nighttime light sensors and products and examines the contributions of nighttime light remote sensing to perceiving the changing world from two aspects (i.e., human activities and environmental changes). Based on the historical review of the advances in nighttime light remote sensing, we summarize the challenges in current nighttime light remote sensing research and propose four strategic directions, including: Improving nighttime light data; developing a long time series of consistent nighttime light data; integrating nighttime light observations with other data and knowledge; and promoting multidisciplinary and interdisciplinary analyses of nighttime light observations.

scholarly journals Estimation of Cargo Handling Capacity of Coastal Ports in China Based on Panel Model and DMSP-OLS Nighttime Light Data

2019 ◽  
Vol 11 (5) ◽  
pp. 582 ◽  
Author(s):  
Aoshuang Liu ◽  
Ye Wei ◽  
Bailang Yu ◽  
Wei Song
Keyword(s):  
Remote Sensing ◽  
Statistical Data ◽  
Estimation Method ◽  
River Delta ◽  
Important Indicator ◽  
Strong Basis ◽  
Cargo Handling ◽  
Panel Model ◽  
Nighttime Light Data ◽  
Nighttime Light

The cargo handling capacity of a port is the most basic and important indicator of port size. Based on the Defense Meteorological Satellite Program-Operational Linescan System (DMSP-OLS) nighttime light data and panel model, this study attempts to estimate the cargo handling capacity of 28 coastal ports in China using satellite remote sensing. The study confirmed that there is a very close correlation between DMSP-OLS nighttime light data and the cargo handling capacity of the ports. Based on this correlation, the panel data model was established for remote sensing-based estimation of cargo handling capacity at the port and port group scales. The test results confirm that the nighttime light data can be used to accurately estimate the cargo handling capacity of Chinese ports, especially for the Yangtze River Delta Port Group, Pearl River Delta Port Group, Southeast Coastal Port Group, and Southwest Coastal Port Group that possess huge cargo handling capacities. The high accuracy of the model reveals that the remote sensing analysis method can make up for the lack of statistical data to a certain extent, which helps to scientifically analyze the spatiotemporal dynamic changes of coastal ports, provides a strong basis for decision-making regarding port development, and more importantly provides a convenient estimation method for areas that have long lacked statistical data on cargo handling capacity.

scholarly journals Are Karst Rocky Desertification Areas Affected by Increasing Human Activity in Southern China? An Empirical Analysis from Nighttime Light Data

2019 ◽  
Author(s):  
Kaifang Shi ◽  
Qingyuan Yang ◽  
Yuanqing Li
Keyword(s):  
Human Activities ◽  
Socioeconomic Development ◽  
Southern China ◽  
Annual Growth Rate ◽  
Karst Rocky Desertification ◽  
Rocky Desertification ◽  
Nighttime Lights ◽  
Nighttime Light Data ◽  
Nighttime Light ◽  
Night Lights

Due to remarkable socioeconomic development, an increasing number of karst rocky desertification areas have been severely affected by human activities in southern China. Effectively analyzing human activities in karst rocky desertification areas is a critical prerequisite for managing and restoring areas with tremendous negative impacts from desertification. At present, a timely and accurate way of quantifying the spatiotemporal variations of human activities in karst rocky desertification areas is still lacking. In this communication, we attempted to quantify human activities from the corrected NPP-VIIRS nighttime light data from 2012 to 2018 based on statistical analysis. The results show that a significant increase of night lights could be clearly identified during the study period. The total nighttime lights (TL) related to severe karst rocky desertification (S) were particularly concentrated in Guizhou and Yunnan. The nighttime light intensity (LI) related to the S areas in Chongqing were the strongest due to its rapid socioeconomic development. The annual growth rate of nighttime lights (GL) has been slow or even negative in Guangdong because of its various karst rocky desertification restoration programs. This communication could provide an effective approach for quantifying human activities and provide useful information about where prompt attention is required for policy-making on the restoration of the karst rocky desertification areas.

scholarly journals A Novel Method of Evaluating Highway Traffic Prosperity Based on Nighttime Light Remote Sensing

2019 ◽  
Vol 12 (1) ◽  
pp. 102
Author(s):  
Ying Chang ◽  
Shixin Wang ◽  
Yi Zhou ◽  
Litao Wang ◽  
Futao Wang
Keyword(s):  
Remote Sensing ◽  
Traffic Flow ◽  
Pearson Correlation ◽  
Flow Volume ◽  
Highway Traffic ◽  
Freeway Traffic ◽  
Nighttime Light Data ◽  
Nighttime Light ◽  
Per Capita

As the backbone and arteries of a comprehensive transportation network, highways play an important role in improving people’s living standards and promoting economic growth. However, globally, there is limited quantifiable data evaluating the highway traffic state, characteristics, and performance. From the 1960s to the present, remote sensing has been regarded as the most effective technology for long-term and large-scale monitoring of surface information. However, how to reflect the dynamic “flow” information of traffic with a static remote sensing image has always been a difficult problem that is hard to solve in the field. This study aims to construct a method of evaluating highway traffic prosperity using nighttime remote sensing. First, based on nighttime light data that indicate social and economic activities, a highway-oriented method was proposed to extract highway nighttime light data from 2015 annual nighttime light data of the Suomi National Polar-Orbiting Partnership Visible Infrared Imaging Radiometer Suite sensor (SNPP-VIIRS). Subsequently, Pearson correlation analysis was used to fit the relationship between freeway traffic flow volume and freeway nighttime light at the provincial level. The results showed that Pearson Correlation Coefficient of freeway nighttime light and freeway traffic flow volume for coach and truck are 0.905 and 0.731, respectively, which are higher than between freeway traffic flow volume for coach and truck and total nighttime light (0.593 and 0.516, respectively). A new index—Highway Nighttime Traffic Prosperity Index (HNTPI)—was proposed to evaluate highway traffic across China. The results showed that HNTPI has a strong correspondence with socio-economic parameters. The Pearson Correlation Coefficient of HNTPI and gross domestic product (GDP) per capita, consumption per capita, and population are 0.772, 0.895, and 0.968, respectively. There is a huge spatial heterogeneity in China nighttime traffic, the prosperity degree of highway traffic in developed coastal areas is obviously higher than that inland. The national general highway is the most prosperous highway at night and the national general highway nighttime prosperity of Shanghai reached 22.34%. This research provides basic data for the long-term monitoring and evaluation of regional traffic operation at night and research on the correlation between regional highway construction and the economy.

scholarly journals Extended Distributed Framework for Feature Extraction in Remote Sensing Imagery with High Resolution

Webology ◽  
2021 ◽  
Vol 18 (2) ◽  
pp. 1035-1046
Author(s):  
T. Naga Raju ◽  
Dr. Chittineni Suneetha
Keyword(s):  
Remote Sensing ◽  
Feature Extraction ◽  
High Resolution ◽  
Spatial Data ◽  
Human Activities ◽  
Environmental Changes ◽  
Total System ◽  
Remote Sensing Imagery ◽  
Distributed Framework ◽  
The Given

Remote Sensing imagery is used vastly in the areas of human activities investigation, environmental changes monitoring and geo-spatial data updation in a rapidly increasing way. Humans can easily and appropriately interpret the normally shot pictures but this is a difficult task for the computer to automatically interpret information from the given images. One of the prominent phases is in finding the way to extract the projected information from the given imagery and its conversion to wrath-ful data which can be used for further research. The motto is the generation of an algorithm which aims to be very efficient during of processing of huge images that include enhancement of efficiency in processing, correlation finding amongst given data and extraction of continuous features. In order to accomplish all these purposes as stated above, we hereby put forward an algorithm Extended Feature Extraction and Detection in High Resolution Remote Sensing (HRRS) Imagery to detect rivers. The proposed system is established with Hadoop Distributed Framework in order to enhance the efficiency of total system.

scholarly journals CHANGE PATTERN EXPLORATION WITH HIERARCHICAL BI-CLUSTERING ON SENTINEL-1 SAR AND NIGHTTIME LIGHT DATA

2020 ◽  
Vol IV-3/W2-2020 ◽  
pp. 13-18
Author(s):  
M. Che ◽  
P. Gamba
Keyword(s):  
Remote Sensing ◽  
Hierarchical Clustering ◽  
Remote Sensing Data ◽  
Sensing Data ◽  
Change Pattern ◽  
Novel Approach ◽  
Nighttime Light Data ◽  
Nighttime Light ◽  
Spatio Temporal ◽  
Multispectral Sensors

Abstract. In the last few decades, urbanization activities have promoted the emergence of megacities, megalopolis, urban clusters or large urban aggregations, but only a few studies have analyzed them using remote sensing data in both the spatial and the temporal domains. In this paper, combining SAR and multispectral sensors with different resolutions, a novel approach, improved by means of a hierarchical clustering technique, is proposed. Urban changes are mapped in the form of multiple spatio-temporal patterns, visualized by change vectors exploiting the combination of SAR and nighttime light data.

scholarly journals Filtering the NPP-VIIRS Nighttime Light Data for Improved Detection of Settlements in Africa

2019 ◽  
Vol 11 (24) ◽  
pp. 3002
Author(s):  
Xiaotian Yuan ◽  
Li Jia ◽  
Massimo Menenti ◽  
Jie Zhou ◽  
Qiting Chen
Keyword(s):  
Biomass Burning ◽  
Human Activities ◽  
Infrared Imaging ◽  
Recognition Rate ◽  
European Space Agency ◽  
Environmental Research ◽  
Equatorial Africa ◽  
Nighttime Lights ◽  
Nighttime Light Data ◽  
Nighttime Light

Observing and understanding changes in Africa is a hotspot in global ecological environmental research since the early 1970s. As possible causes of environmental degradation, frequent droughts and human activities attracted wide attention. Remote sensing of nighttime light provides an effective way to map human activities and assess their intensity. To identify settlements more effectively, this study focused on nighttime light in the northern Equatorial Africa and Sahel settlements to propose a new method, namely, the patches filtering method (PFM) to identify nighttime lights related to settlements from the National Polar-orbiting Partnership Visible Infrared Imaging Radiometer Suite (NPP-VIIRS) monthly nighttime light data by separating signal components induced by biomass burning, thereby generating a new annual image in 2016. The results show that PFM is useful for improving the quality of NPP-VIIRS monthly nighttime light data. Settlement lights were effectively separated from biomass burning lights, in addition to capturing the seasonality of biomass burning. We show that the new 2016 nighttime light image can very effectively identify even small settlements, notwithstanding their fragmentation and unstable power supply. We compared the image with earlier NPP-VIIRS annual nighttime light data from the National Oceanic and Atmospheric Administration (NOAA) National Center for Environmental Information (NCEI) for 2016 and the Sentinel-2 prototype Land Cover 20 m 2016 map of Africa released by the European Space Agency (ESA-S2-AFRICA-LC20). We found that the new annual nighttime light data performed best among the three datasets in capturing settlements, with a high recognition rate of 61.8%, and absolute superiority for settlements of 2.5 square kilometers or less. This shows that the method separates biomass burning signals very effectively, while retaining the relatively stable, although dim, lights of small settlements. The new 2016 annual image demonstrates good performance in identifying human settlements in sparsely populated areas toward a better understanding of human activities.

scholarly journals ANALYSIS OF HUMAN ACTIVITIES IN NATURE RESERVES BASED ON NIGHTTIME LIGHT REMOTE SENSING AND MICROBLOGGING DATA –ILLUSTRATED BY THE CASE OF NATIONAL NATURE RESERVES IN JIANGXI PROVINCE

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 1341-1348 ◽  
Author(s):  
F. Shi ◽  
X. Li ◽  
H. Xu
Keyword(s):  
Remote Sensing ◽  
Human Activities ◽  
Nature Reserve ◽  
Power Laws ◽  
Nature Reserves ◽  
Jiangxi Province ◽  
The Status ◽  
Nighttime Light ◽  
Light Area ◽  
National Nature Reserves

The study used the mainstream social media in china - Sina microblogging data combined with nighttime light remote sensing and various geographical data to reveal the pattern of human activities and light pollution of the Jiangxi Provincial National Nature Reserves. Firstly, we performed statistical analysis based on both functional areas and km-grid from the perspective of space and time, and selected the key areas for in-depth study. Secondly, the relationship between microblogging data and nighttime light remote sensing, population, GDP, road coverage, road distance and road type in nature reserves was analyzed by Spearman correlation coefficient method, so the distribution pattern and influencing factors of the microblogging data were explored. Thirdly, a region where the luminance value was greater than 0.2 was defined as a light region. We evaluated the management status by analyzing the distribution of microblogging data in both light area and non-light area. Final results showed that in all nature reserves, the top three were the Lushan Nature Reserve, the Jinggangshan Nature Reserve, the Taohongling National Nature Reserve of Sikas both on the total number and density of microblogging ; microblogging had a significant correlation with nighttime light remote sensing , the GDP, population, road and other factors; the distribution of microblogging near roads in protected area followed power laws; luminous radiance of Lushan Nature Reserve was the highest, with 43 percent of region was light at night; analysis combining nighttime light remote sensing with microblogging data reflected the status of management of nature reserves.

Local Policy for a Protected Environmental Area Management: The Case of Limiting Motorized Vehicles in Park of Canigou in Pyrenées Orientales

2018 ◽  
Vol 1 (1) ◽  
Keyword(s):  
Climate Change ◽  
Human Activities ◽  
Energy Use ◽  
Local Level ◽  
Air Traffic ◽  
Small Scale ◽  
Individual Action ◽  
Local Policy ◽  
Motorized Vehicles ◽  
Local Levels

“We regard the recent science –based consensual reports that climate change is, to a large extend, caused by human activities that emit green houses as tenable, Such activities range from air traffic, with a global reach over industrial belts and urban conglomerations to local small, scale energy use for heating homes and mowing lawns. This means that effective climate strategies inevitably also require action all the way from global to local levels. Since the majority of those activities originate at the local level and involve individual action, however, climate strategies must literally begin at home to hit home.”

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