Results 11 to 20 of about 19,903 (238)

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, K. E. Bennett, K. E. Bennett, J. E. Cherry, J. E. Cherry, J. E. Cherry, B. Balk, S. Lindsey   +7 more
doaj   +3 more sources

A Practical Approach to Improve the MODIS MCD43A Products in Snow-Covered Areas [PDF]

Journal of Remote Sensing, 2023
The MODerate Resolution Imaging Spectroradiometer (MODIS) MCD43A products have been extensively applied in the remote sensing field, but recent researchers have demonstrated that these products still had the potential to be further improved by using the latest development of the kernel-driven model [RossThick-LiSparseReciprocal-Snow (RTLSRS)] in snow ...
Anxin Ding, Ziti Jiao, Xiaoning Zhang, Yadong Dong, Alexander A. Kokhanovsky, Jing Guo, Hailan Jiang   +6 more
openaire   +3 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
openaire   +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

Differences in Phenological Estimation From Multi-Vegetation Indices Across the Yellow River Basin. [PDF]

Ecol Evol
This study evaluated the differential performance of PPI, kNDVI, and EVI in monitoring land surface phenology across the Yellow River Basin. The three vegetation indices showed pronounced divergence in capturing autumn phenological metrics, particularly the downturn date (DD) and recession date (RD).
Yu Q, Bai Y, Wang J.
europepmc   +2 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, S. McKenzie Skiles, Karl Rittger, Joachim Meyer   +3 more
openaire   +2 more sources

Comparison of MODIS and Model-Derived Snow-Covered Areas: Impact of Land Use and Solar Illumination Conditions [PDF]

Geosciences, 2020
Moderate resolution imaging spectroradiometry (MODIS) snow cover accuracy has been assessed in the past at different scales, with various approaches and in relation to the many factors influencing the remote observation of snow-covered areas (SCA). However, the challenge of fully characterizing MODIS accuracy over forest sites is still open.
Di Marco, Nicola, Righetti, Maurizio, Avesani, Diego, Zaramella, Mattia, Notarnicola, Claudia, Borga, Marco   +5 more
openaire   +3 more sources

Snow Cover Reconstruction in the Brunswick Peninsula, Patagonia, Derived from a Combination of the Spectral Fusion, Mixture Analysis, and Temporal Interpolation of MODIS Data

Remote Sensing, 2023
Several methods based on satellite data products are available to estimate snow cover properties, each one with its pros and cons. This work proposes and implements a novel methodology that integrates three main processes applied to MODIS satellite data ...
Francisco Aguirre, Deniz Bozkurt, Tobias Sauter, Jorge Carrasco, Christoph Schneider, Ricardo Jaña, Gino Casassa   +6 more
doaj   +1 more source

Changes in Snow Cover Dynamics over the Indus Basin: Evidences from 2008 to 2018 MODIS NDSI Trends Analysis

Remote Sensing, 2020
The frozen water reserves on the Earth are not only very dynamic in their nature, but also have significant effects on hydrological response of complex and dynamic river basins.
Sikandar Ali, Muhammad Jehanzeb Masud Cheema, Muhammad Mohsin Waqas, Muhammad Waseem, Usman Khalid Awan, Tasneem Khaliq   +5 more
doaj   +1 more source

STUDY ON SNOW COVER CHANGE BASED ON THE FUSION OF SENTINEL-2 AND MODIS IMAGES [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
Snow cover is one of the features that change rapidly on the surface, and remote sensing data with high spatial and temporal resolution is an important means to monitor the dynamic changes of snow.
Q. Liu, Y. Zhang
doaj   +1 more source