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The Lena River basin in Siberia produces one of the largest river inflows into the Arctic Ocean. One of the most important sources of runoff to the river is spring snowmelt, and therefore, snow ablation processes have great importance for this basin. Vegetation and accumulated snowfall control the spatial distribution of sublimation, which is found to have a considerable effect on the snow ablation...
Identification of high potential risk and susceptible zones for natural hazards of geological origin is one of the most important applications of advanced remote sensing technology in tropical environments. Yearly, several landslides occur during heavy monsoon rainfall in Kelantan river basin, Peninsular Malaysia, which are obviously connected to geological structures and topographical features of...
Water surface extraction using satellite images proves to be of great importance due to its utility in several applications such as land use, floods management and monitoring. Among the wide range of sensors orbiting around the earth, Synthetic Aperture Radar (SAR) proves to be a very effective tool in this context due to its robustness to unfavorable weather conditions and its cloud penetrating capabilities...
This paper proposed a method of combining the Modified Normalized Difference Water Index (MNDWI), morphological operators (MOs) and seeded region growing (SRG) to extract waterline information from remote sensing satellite images, and applied this approach to a long period (from 1987 to 2010) Landsat TM dataset to acquire the waterline changes in the coastal wetlands in the Yellow River Delta (YRD)...
Crop water requirement is very important for water cycle and is a determinant factor for the accurate estimation of water and heat flux in the Soil-Plant-Atmosphere Continuum (SPAC). In arid regions, quantitative estimation of crop water requirement is the base of appraising terrestrial NPP, regional water consumption, soil water transport, crop production, and land use under changing climate. In...
The Xinjiang Uygur Autonomous Region (XUAR), as the largest autonomous region in China, experienced an unprecedented combination of economic reforms, exploration of natural resources, and population growth in last three decades. Using the 8 day composite 500m resolution MODIS reflectance data, we examined interannual variation of vegetation greenness and water body surface area in this area from 2000...
In India, most of the rivers form big size natural islands due to change in its course. However, identification of suitable river island for construction of Eco-friendly parks/tourist destination is a very challenging task since these are exposed to river flooding. River islands which are least vulnerable to the impact of severe flooding can be a suitable place for construction of tourism destination...
In coastal region, estuaries have dynamic conditions such as river discharge, tidal current, wave and sand ridge. These conditions generate suspended sediments processes in the estuary. Suspended sediment process can be used to explain reason for geological changes in the coastal area. To understand these processes, we use Geostationary Ocean Color Imager to monitor estuarine suspended sediments in...
Tropical Rainfall Measurement Mission (TRMM) is an useful data for different application, whereas the data was less used in monitoring the meteorological drought in arid regions. In this study, we investigated the spatial-temporal process of a meteorological drought event (occurred at middle reach of Heihe River basin from May 2009 to September 2009) use TRMM 3B43 precipitation data product and observed...
Dynamic landscapes, such as the Yellow River Basin in China, require consistent and precise land use and land cover information to better understand the prevailing changes and underlying factors, which are lacking so far. In this study, we derived novel and accurate multi-temporal land cover products, delineating the land surface characteristics from the last decade based on high-temporal MODIS time...
Remote sensing technique constructs a regression model to describe the relations between Aerosol optical depth (AOD) and the ground PM2.5 concentration. However, potential effects from meteorological and geographical factors on the regression models have never been carefully investigated. The manuscript selects three main meteorological variables and two major geographical variables, and investigates...
Greater Montreal is the most populous metropolitan area in Quebec, and the second most populous in Canada after Greater Toronto. In the 1970s, the economic center of Canada shifted from Montreal to Toronto. Since some previous studies have focused on the urbanization process in the Greater Toronto Area, it is important to conduct research on its counterpart. This study uses Landsat images as the data...
This paper presents a very early evaluation and comparison of GPM Level 3 IMERGHH and TRMM3B42V7 final products from 2014/4/1 to 2015/3/31 at daily scale over whole Mekong River Basin (MRB). Daily observation data from 53 in situ rainfall gauges is obtained to do the pixel-point comparison. Two aspects (rainfall amount and occurrence) were taken to evaluate the performance of these two satellite precipitation...
A variational scheme for the analysis of hourly high-resolution precipitation has been developed over China and tested in heavy rainfall events and data-sparse regions. The cost function of the proposed scheme simply required scalar and gradient of observations are computed for the input information contained in the new precipitation observations to properly improve the behavior of merged algorithm...
To overcome the defects of landslide monitoring methods on ground or airborne- or satellite-based remote sensing, the micro unmanned aerial vehicle (micro-UAV) based remote sensing method is used to monitoring Qinglingou slope, a steep slope in Three Gorges Reservoir, China. A tailormade micro-UAV with multi-rotor, high-accuracy position orientation system and digital camera is assembled, and it can...
Water extraction in arid regions such as north Xinjiang is particularly important due to their lack of water. During the last decades, water resources in north Xinjiang have been seriously impacted by more and more coal-mining activities. Accurate extraction of rivers and broad waters in this region is becoming requisite. However, there are some limitations for existing methods to extract small rivers...
Nocturnal lighting is directly related to human activity and has been used in modeling population density. Mismatch of spatial scale between county and pixel results in noticeable discrepancy in Digital Number (DN). Consequently, this paper focuses on the limitation and proposes a method to model population density using the DMSP-OLS night-time data. MODIS land cover product was employed to identify...
In order to estimate Chlorophyll-a concentrations at high spatial-temporal resolution accurately over bay systems in the western Gulf of Mexico, a 2-step remote sensing algorithm using observations from the Medium Resolution Imaging Spectrometer (MERIS) is developed. Here, the approach is tested in Galveston Bay. First, atmospheric correction for the MERIS reflectance is performed to improve the quality...
GCOM-W AMSR2 provides continuity following AMSR-E and the opportunity to generate a global long-term satellite soil moisture data record from the same instrument type. Various soil moisture products are being developed using AMSR observations. The JAXA soil moisture along with the Single Channel Algorithm (SCA) product were evaluated using in situ observations from different geographical domains....
Observations of the temporal and spatial variations of water depth in rivers and floodplains are very important in operational hydrology. However, our capacity to monitor water depth at large scale is still very limited. As a result, the need to measure water storage changes in all wetlands, lakes, and reservoirs has motivated the radar interferometry-based Surface Water Ocean Topography Mission (SWOT)...
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