This paper analyses an opportunity to integrate remote sensing data in a forecasting scheme of river inflow to the Krasnodar reservoir. MODIS MOD10A2 eight-day composite snow cover data was selected as the basic remote sensing information. Based on these data, a database which consists of maximal snow extent maps covering the Kuban river basin over the period from March 2000 to the present, alo...

Seasonal feeding habits of the white-tailed deer {Odocoileus virginianus) herd on the National Aeronautics and Space Administration (NASA) Plum Brook Station, near Sandusky, Ohio, were determined by microscopic analysis of rumen contents. At the time of this study, 2,499 — 94 (95% C.I.) deer inhabited the area, a density of 115 deer/km. Deer grazed year-round, and in spite of a record high dens...

Large areas of the Tibetan plateau are only covered by a sparse network of ground snow sampling stations, while the snow cover is highly heterogeneously distributed due to wind, topography etc. Nevertheless, the snow accumulation and spatial patterns play an important role in the hydrological cycle. It releases moisture during the dry spring period before the onset of the monsoon season. Widely...

Satellite monitoring of the seasonal snow cover in the visible range of the spectrum has been constantly improved thanks to a better spatial resolution. Sensors were introduced enabling snow, clouds and glacier ice to be distinguished. Thanks to refined data processing combined with a Geographic Information System (GIS), a method was developed to restore satellite images of the snow cover parti...

Using reflectance values from the seven MODIS ‘‘land” bands with 250 or 500 m resolution, along with a corresponding cloud product, we estimate the fraction of each 500 m pixel that snow covers, along with the albedo of that snow. The daily products have data gaps and errors because of cloud cover and sensor viewing geometry. Rather than make users interpolate and filter these patchy daily maps...

Snow cover mapping is a very important parameter for snowmelt runoff modeling and forecasting. Snow cover information is also useful for managing transportation and avalanche forecasting. This study will discuss the capability of full polarimetric L-band ALOS PALSAR data for snow classification. Therefore, Polarimetric decomposition and the complex Wishart classifier will be applied on ALOSPALS...

A continuously running hydrological energy balance model was used to analyse the influence of different snow covers on the formation of large floods within glacierized catchments. Model outputs from three different catchments in the Austrian Alps with glacierizations ranging from 30 to 39 % were statistically interpreted to cover a wide range of possible combinations of areal snow cover distrib...

The purpose of this report is to provide a review of optical snow cover algorithms to assist algorithm selection in the CryoRisk project. The first part of the report provides a brief review of the state of the art for snow cover retrieval algorithms developed internationally. The review covers classification algorithms (snow/non-snow algorithms), fractional snow cover algorithms (snow fraction...

Changes in the snow cover extent are both a cause and a consequence of climate change. Optical remote sensing with heliosynchronous satellites currently provides snow cover data at high spatial resolution with daily revisiting time. However, high latitude image acquisition is limited because reflective sensors of many satellites are switched off at high solar zenith angles (SZA) due to lower si...

We present a modeling approach t at couples information about snow cover duration from remote sensing with a distributed nergy balance model to calculate he spatial distribution of s ow ater equivalence (SWE) in a 1.2 km 2mountain basin atthe peak of the accumulation season. I situ measurements of incident solar radiation, incident longwave radiation, air temperature, relative humidity, and win...