Using MODIS estimates of fractional snow cover area to improve streamflow forecasts in interior Alaska [PDF]
Hydrology and Earth System Sciences, 2019 Remotely sensed snow cover observations provide an opportunity to improve operational snowmelt and streamflow forecasting in remote regions. This is particularly true in Alaska, where remote basins and a spatially and temporally sparse gaging network ...
K. E. Bennett +7 more
doaj +4 more sources
A probability of snow approach to removing cloud cover from MODIS Snow Cover Area products [PDF]
Hydrology and Earth System Sciences, 2012 Abstract. Satellite remote sensing can be used to investigate spatially distributed hydrological states and fluxes for use in modeling, assessment and management. However, in the visual wavelengths, cloud cover can often obscure significant portions of the images.
V. López-Burgos, H. V. Gupta, M. Clark
semanticscholar +5 more sources
Commentary on comparison of MODIS snow cover and albedo products with ground observations over the mountainous terrain of Turkey [PDF]
Hydrology and Earth System Sciences, 2007 The MODerate-resolution Imaging Spectroradiometer (MODIS) snow cover product was evaluated by Parajka and Blösch (2006) over the territory of Austria. The spatial and temporal variability of the MODIS snow product classes are analyzed, the accuracy of ...
A. Ü. Şorman +4 more
doaj +5 more sources
Application of a Cloud Removal Algorithm for Snow-Covered Areas from Daily MODIS Imagery over Andes Mountains [PDF]
Atmosphere, 2022 Snow cover area is dramatically decreasing across the Los Andes Mountains and the most relevant water reservoir under drought conditions. In this sense, monitoring of snow cover is key to analyzing the hydrologic balance in snowmelt-driven basins.
Cristian Mattar +2 more
doaj +3 more sources
Trends in Snow Cover Duration Across River Basins in High Mountain Asia From Daily Gap-Filled MODIS Fractional Snow Covered Area [PDF]
Frontiers in Earth Science, 2021 High Mountain Asia (HMA) has the largest expanse of snow outside of the polar regions and it plays a critical role in climate and hydrology. In situ monitoring is rare due to terrain complexity and inaccessibility, making remote sensing the most practical way to understand snow patterns in HMA despite relatively short periods of record. Here, trends in
Chelsea Ackroyd +3 more
openaire +3 more sources
MODIS Fractional Snow Cover Mapping Using Machine Learning Technology in a Mountainous Area [PDF]
Remote Sensing, 2020 To improve the poor accuracy of the MODIS (Moderate Resolution Imaging Spectroradiometer) daily fractional snow cover product over the complex terrain of the Tibetan Plateau (RMSE = 0.30), unmanned aerial vehicle and machine learning technologies are employed to map the fractional snow cover based on MODIS over this terrain.
Changyu Liu +3 more
openaire +3 more sources
Using the MODIS Sensor for Snow Cover Modeling and the Assessment of Drought Effects on Snow Cover in a Mountainous Area [PDF]
Remote Sensing, 2020 Snow is one of the essential factors in hydrology, freshwater resources, irrigation, travel, pastimes, floods, avalanches, and vegetation. In this study, the snow cover of the northern and southern slopes of Alborz Mountains in Iran was investigated by considering two issues: (1) Estimating the snow cover area and the (2) effects of droughts on snow ...
Pouya Aghelpour +5 more
openaire +3 more sources
2008-2011 snow covered area (SCA) variability over 18 watersheds of the central Chile through MODIS data [PDF]
Geografia Fisica e Dinamica Quaternaria, 2015 Snowmelt contributes largely to water budget of several Chilean mountain watersheds. To describe snow covered area (SCA) variability within 18 watersheds in Central Chile during 2008\u20132011 we used MODIS data (i.e. MOD10A2-V5 maximum snow cover extent
Bocchiola, D +7 more
core +4 more sources
Cloudiness and snow cover in Alpine areas from MODIS products [PDF]
Hydrology and Earth System Sciences, 2014 Abstract. Snow cover maps provide an information of great practical interest for hydrologic purposes: when combined with point values of snow water equivalent (SWE), they allow to estimate the regional snow resource. Earth observation satellites are an interesting tool for evaluating large scale snow distribution and extension.
P. Da Ronco, C. De Michele
openaire +5 more sources
Snow Cover Mapping Based on SNPP-VIIRS Day/Night Band: A Case Study in Xinjiang, China
Remote Sensing, 2023 Detailed snow cover maps are essential for estimating the earth’s energy balance and hydrological cycle. Mapping the snow cover across spatially extensive and topographically complex areas with less or no cloud obscuration is challenging, but the SNPP ...
Baoying Chen +4 more
doaj +1 more source