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.
Synthetic aperture radar (SAR) is known to all weather usable radar system. It can divide linear polarimetric SAR (LP-SAR) and circular polarimetric SAR (CP-SAR). However, CP-SAR has been proven to less effect of the Faraday rotation in the ionosphere. On the other hand, in spite of polarization, full polarimetric SAR (FP-SAR) has some drawbacks of limited swash width, an increase of system complexity,...
The objective of this paper is to report the study carried out to assess and evaluate changes in Land-Use Land-Cover(LULC) at the region of Aurangabad Municipal Corporation (AMC) for the year 2009 and 2015 using multispectral images acquired from remotely sensed Linear-Imaging-Self-Scanning-Sensor-HI(LISS-HI). The area was categorized into six types, viz. Residential(R), Vegetation(V), Water_Body(W),...
This article is devoted to technology of change detection on satellite imagery. The aim was the development new accurate method to detect ruined buildings after disaster by using satellite images before and after event. The proposed two approaches has been tested on satellite images. advantage of using the proposed technology. The results can be used for further object detection and recognition for...
The inland lake is an important part of water supplies in arid areas, which is highly sensitive to the changes of hydrological environment and human activities. Lakes located in the arid environment are more sensitive to human activities and climate changes than in other regions. Dali Lake, the important lake in the arid areas of Inner Mongolia, has important index significance. In this paper, an...
In this paper, we investigate global and national level datasets, used to estimate trends in land cover and in land productivity in Ukraine within Land Degradation Neutrality (LDN) Target Setting Programme of United Nations Convention to Combat Desertification (UNCCD). To assess land cover changes, the ESA CCI-LC 2000 and 2010 epochs are used, focusing on changes between the 6 main land cover categories...
This work introduces a generative Bézier curve model suitable for surf-zone curve tracking in coastal image sequences. The model combines an adaptive curve parametrised by control points governed by local random walks with a global sinusoidal motion model. This allows for changing wave-break conditions and tides to be tracked using a bootstrap particle filter. Results obtained on a sequence of images...
The article deals with the application of remote sensing of agricultural plantations for assessment of their nitrogen fertilizer provision. The basic technologies of remote sensing used today, their advantages and disadvantages are described. A new calibration method for images obtained from sensors placed on the platform of UAV in unstable illumination based on EXIFF data file, such as size Light...
With China Remote Sensing career advancement, a large number of independent researches and development satellites have launched. Among a new generation of high-resolution satellites, GaoFen-1 (GF-1) stands out. It sets high spatial resolution (2 m-16 m), multi-spectral and high temporal resolution (4-day) with 60 km-800 km swath in a fusion technology with strategic significance. In order to explore...
Real time monitoring of vegetation conditions is of paramount importance, particularly for food insecure countries, to detect possible crop and pastures production drops as early as possible. This monitoring is classically based on remote sensing indicators of vegetation conditions (typically NDVI and rainfall produced every ten days at a resolution of 1 km or more) and many web portals now offer...
In this paper, some preliminary results of mapping rice growth using TerraSAR-X HHVV dual polarization data are presented. Three TerraSAR-X images were collected in southern China during a rice growth cycle to analyze the temporal response of the rice fields at X-band. The height, the leaf area index (LAI) and the biomass of rice were also measured during acquisition of the SAR data, and empirical...
Agricultural drought greatly impacts the crop yield. Monitoring agricultural drought can deliver critical information to farmers on when, where and how much to irrigate. However, precisely monitoring which requires many kinds of data sources and data fusion and mining is still a huge challenge for scientists. In recent years, many data sources like remote sensed hyperspectral images are released online...
Most previous studies applied land surface temperature and vegetation index retrieved by optical remote sensing data to drought monitoring. But the vegetation index indicates drought indirectly and lag behind, while the precipitation is directly affect the drought and flood disasters, and microwave remote sensing has its unique advantages to detect precipitation. So, in this paper, on the basis of...
Monitoring of agricultural used soils at frequent intervals is needed to get a better understanding of processes like soil erosion or harvest forecast. This is crucial to support decision making and refining soil policies especially in the context of climate change. Parcel-specific soil coverage information can be derived by satellite imagery with high temporal and geometric resolution. However, their...
Satellite can provide remote sensing data for disaster monitoring, and various sensors are generating huge volumes of remote sensing data for disaster management. It is urgent to store and process massive data acquired by satellite as fast as possible. A flexible and rapid service platform can realize integrated services from data acquisition, data production and product visualization. This article...
Time series PALSAR-2/ScanSAR data and Landsat data were used for examining the differences in detection timing of deforestation. Optical sensor-based (Landsat) deforestation information taken about every 16 days and SAR data taken about every 1.5 months were used, and the temporal change of L-band γ0 was examined for the deforestation areas. The γ0HH value increased by 1.2 dB on average for areas...
An application of the Soil Moisture Agricultural Drought Index (SMADI) for global agricultural drought monitoring is presented. The index integrates surface soil moisture from the Soil Moisture and Ocean Salinity (SMOS) mission with the Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature (LST) and Normalized Difference Vegetation Index (NDVI) and allows for global drought...
RADARSAT-2 SAR data was used to develop a monitoring program for Canadian forest lands with the aim to provide information on forest harvesting. Study sites in British Columbia and New Brunswick Canada were selected. RADARSAT-2 MultiLook Fine mode, acquired from mid-June through mid-September, from 2011 to 2015, was analyzed with the aim to detect forest disturbances. Due to large data volumes and...
With the acceleration of China's modernization, soil erosion caused by illegal activities in production and construction projects is becoming serious. Timely and effective monitoring and supervision is necessary. Traditional monitoring methods have many shortcomings, such as long period, limited precision, limited terrain. So it can't demonstrate the real situation of the project construction area...
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,...
The objective of this research was to develop a method for water level retrieval in natural and artificial lakes. It was thought to be applied for monitoring purposes and flood control applications, especially in data-scarce environments. The method is based on a combined GIS, remote sensing and statistical modeling approach. It was tested on both optical (Landsat 8) and SAR (Cosmo-SkyMed®) data....
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.