[PDF] Top 20 Daily streamflow estimation using remote sensing data

... Later, the Normalized Difference Vegetation Index (NDVI) was introduced by Tucker (1979), and quickly become the most commonly used vegetation index within the RS community (Kite and Pietroniro, 1996). It represents ... See full document

... Atmospheric transmission and radiance were calculated by MODTRAN computer code (Berk et al., 1989) with an atmosphere model based on the daily rawinsonde sound- ing taken at the Kagoshima Meteorological ... See full document

... by remote sensing technique is known as estimation ...develop estimation algorithm particularly on the elements of the sea surface using Landsat imagery data such as sea surface ... See full document

... some height above the surface (kPa), ea is the actual vapor pressure of the air (kPa), γ is the thermodynamic psychromatric constant (kPa/ 0 K), U is wind speed (m/sec) and LAI is leaf area index derived from satellite ... See full document

... In India, National Institute of Hydrology (NIH) has taken up geomorphological studies of selected river basins spread over the entire country. Faced with the vexed problem of non-availability or inadequacy of data ... See full document

... of remote sensing can be ex- plored as substitutional technique for studying soil characteristic [5] ...mote sensing (RS) carries the possibility for identifying soil attributes onto field [5] ... See full document

... of data points and the class mem- bership assigned to data points by a classification ...reference data, whereas values be- tween ...reference data is significantly greater than 0, meaning ... See full document

... sedimentation. Remote sensing being an effective and time saving method is used in the present paper, to assess the reservoir sedimentation in Tehri reservoir, Uttarakhand, ...by using multi dated ... See full document

... maximum daily rainfall in the area is 175 mm, whereas the annual average temperature is 27°C, with a daily temperature range of 25−32°C (Silva et ... See full document

... In hydrology, the DEM plays a vital role in providing the basin’s topography information including channel network, slope and flow direction. Due to rigorous spatial data policies in most countries, many ... See full document

... Choosing predict or variables from all features derived forest measurements is important to assure the most accurate biomass models. In our study, variable reduction was performed by using RF feature selection ... See full document

... of remote sensing data with different spatial and temporal coverage now become increas- ingly ...available. Remote sensing imagery provides spatially distributed information about flood ... See full document

... Integrated use of remote sensing and GIS can be used in soil erosion assessment studies. The input parameters required for soil erosion modeling can be generated by remote sensing. ... See full document

... faster data and parameter ...and remote sensing techniques in erosion and sediment yield assessment have been developed recently (Lee, ...of remote sensing, GIS and erosion models has ... See full document

... SWE data from meteorological stations for long period, the impact of variations of basic meteorological elements on the data accuracy was estimated; also the major factors influencing the uncertainty were ... See full document

... for streamflow prediction in sparse data ...Precipitation Estimation from Remotely Sensed Information Using Artificial neural Network (PERSIANN); d) PERSIANN bias adjusted (PERSIANN-adj); e) ... See full document

... data of air temperature, solar radiation, wind speed, and relative humidity (Debnath et al., 2015). Therefore, although are highly accurate, the FAO-56 PM model cannot be used for locations, where sufficient or ... See full document

... Currently, remote sensing techniques are rapidly ...or using satellites have ...satellite remote sensing in the spectral and spatial resolution are observed – from NOAA (National ... See full document

... remote sensing image classification technology [ 48 – 52 ], was trained using alteration sample data by. 153[r] ... See full document

... Quantitative estimation of shoreline changes using remote sensing and GIS: A case study in the parts of Cuddalore district, East coast of Tamil Nadu, India, International Journal Of ... See full document