The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
An effective monitoring and analysis of ecosystems requires developing new tools and knowledge. In this paper, we propose an approach for detecting land-cover changes using satellite Image Time Series. This approach represents each image by spectral indices and then extracts local features of these representations. Next, a clustering technique (e.g., k-means) is applied to the extracted features,...
Oil spills present a major threat to the sea ecosystem and thus need to be monitored on a regular basis. Synthetic Aperture Radar (SAR) data is well known for ocean monitoring capabilities. SENTINEL 1 (SEN1) extra wide (EW) mode data and RADARSAT-2 (RS2) Maritime Satellite Surveillance Radar (MSSR) modes have been developed to further improve ocean surveillance. This data can monitor large areas (400...
The usage of remote sensing to observe environments necessitates interdisciplinary approaches to derive effective, impactful research. One remote sensing technique, Synthetic Aperture Radar, has shown significant benefits over traditional remote sensing techniques but comes at the price of additional complexities. To adequately cope with these, researchers have begun to employ advanced machine learning...
Landslide is a common disaster that brings huge threat to the safety of human beings' life and property. Because of the remote sensing technology, our efficiency of disaster monitoring has been improved. However, traditional methods usually need the participation of humans thus causing waste of manpower and material resources. A novel method which can conduct automatic recognition of landslide based...
During last years, several studies related to remote sensing technologies analyzed the processes to extract and classify slicks from SAR imagery. These images are used, among other purposes, for monitoring coastal and marine waters pollution where oil floating on the surface becomes visible because it damps the short gravity-capillary waves that are responsible for the radar backscattering [14].
To continue the groundwater monitoring networks in the plain areas for further demand of clean water resources, the groundwater exploration of mountainous regions becomes a crucial issue in Taiwan. In this study, 75 boreholes were drilled for conducting investigation by the integration of subsurface exploration technologies, including drilling, core inspection, geophysical logging, and hydraulic testing...
By providing controlled areas to produce high quality and wide variety of agricultural products, greenhouses are important for rural development. Their monitoring hence is required for yield estimation and residue management as well as environmental impact. Traditional monitoring approaches based on in situ surveys are costly and time consuming, whereas supervised classification methods require ground...
As the development of marine economy and population explosion, coastal areas is suffering great pressure - because of the immigration from inland to the developed cities along east China. Island coastal zones, which is a specific ecosystem surrounded by the sea, is more sensitive to human activities, e.g. reclamations. It is essential to monitor the dynamic changes of the island coastal areas to retrieve...
An approach based on decision rules algorithm and multi-features was proposed for desertification monitoring in Turpan Oasis using SPOT images. At first, the common methods such as principal component transformation, tasseled cap transformation and minimum noise fraction transformation were used to extract spectral feature, and vegetation index as well as wetness index were also calculated. Elevation...
Due to the limitation of the band range of satellite sensor and the influence of the earth's atmosphere, the Landsat remote sensing images are inevitably be covered with clouds, which bring many difficulties to subsequent using and interpretation(environmental monitoring, resource investing-ation, agricultural production, ecological protection, et al). So detecting cloud accurately in remote sensing...
The exploitation of new high revisit frequency earth observations by the future Sentinel-2 satellite is clearly an important opportunity for global agricultural monitoring. In this context, the Sentinel-2Agriculture project aims at producing algorithms working on large geographical areas having different climates and different agricultural systems. In the framework of this project, the construction...
Floating raft aquaculture is an important part of the coastal marine environment monitoring. In order to achieve the accurate monitoring on the range and area of floating raft, combined with on-site underway survey, adopt the high resolution SAR satellite remote sensing data to conduct floating raft aquaculture information extraction. Choosing Beidaihe and its adjacent fields as a key demonstration...
This paper presents a tensor voting approach to automated detection of dark spots in RADARSAT-1 ScanSAR Narrow Beam mode images. First, a thresholding algorithm that well maximizes the ratio of between-class variance to within-class variance is used to detect potential dark spot candidates. Next, a tensor voting framework integrated with sparse and dense ball votings is carried out to suppress noise...
The crop phenology retrieval on precision agriculture has been an important research area with the increasing demand on crops. Remotely sensed Synthetic Aperture Radar (SAR) data provides a simple possibility for automatic monitoring of agricultural fields due to the its inherit all-weather monitoring capability. Most of the studies rely on morphology based modelling of the electromagnetic backscattering...
We are living in an era of unprecedented population growth and migration, expanding urban and agriculture lands, depleting forests and portable water resources, and natural hazards and climate changes that are changing the face of the planet Earth. Multitemporal remote sensing observations provide a powerful means to monitor the Earth to identify and characterize these changes in near-real time. Data...
Crowd monitoring is an important task of security forces. If an emergency occurs during large events, authorities should take urgent measures to prevent causalities. Also understanding crowd dynamics such as tracking crowds or sparse people goups before an emergency occurs is a need. Therefore, crowd detection and analysis is a critical research area. There are several studies for crowd monitoring...
The temporal evolution of pixel values in Satellite Image Time Series (SITS) is considered criterion for the characterization, discrimination and identification of terrestrial objects and phenomena. Due to the exponential behavior of sequences number with specialization, Sequential Data Mining techniques need to be applied. The spatial aspect of the data was taken into account by the introduction...
Traditional monitoring method of PM2.5 concentrations with field campaigns cannot accurately identify the spatial pattern of air pollution in urban areas. Remote sensing techniques have been applied to monitor the distribution of atmospheric particulate pollution. However, remotely sensed aerosol data products with low spatial-resolution cannot reveal the spatial variations of urban air pollution...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.