Results 41 to 50 of about 19,903 (238)

Evaluation of MODIS and VIIRS cloud-gap-filled snow-cover products for production of an Earth science data record [PDF]

Hydrology and Earth System Sciences, 2019
MODerate resolution Imaging Spectroradiometer (MODIS) cryosphere products have been available since 2000 – following the 1999 launch of the Terra MODIS and the 2002 launch of the Aqua MODIS – and include global snow-cover extent (SCE) (swath, daily, and ...
D. K. Hall, D. K. Hall, G. A. Riggs, G. A. Riggs, N. E. DiGirolamo, N. E. DiGirolamo, M. O. Román   +6 more
doaj   +1 more source

No Consistent Evidence for Advancing or Delaying Trends in Spring Phenology on the Tibetan Plateau [PDF]

, 2017
Vegetation phenology is a sensitive indicator of climate change and has significant effects on the exchange of carbon, water, and energy between the terrestrial biosphere and the atmosphere.
Badeck, Balzarolo, Chen, Chen, China Meteorological Administration, Coops, Dai, Deronde, Ding, Duan, Forkel, Fu, Ganjurjav, Guay, Guo, Holben, Hou, Huete, Jeong, Julien, Justice, Kljun, Knorr, Lasslop, Li, Li, Li, Liu, Liu, Macbean, McClain, Menzel, Penuelas, Piao, Pinzon, Reed, Richardson, Richardson, Richardson, Sen, Shen, Shen, Shen, Shen, Shi, Stöckli, Suzuki, Tian, Tucker, Turner, Wang, Wang, Wang, Wu, Wu, Xin, Xin, Xu, Yi, Yu, Yu, Zhang, Zhang, Zhang, Zhang, Zhao, Zhao, Zhong, Zhou, Zhou   +69 more
core   +3 more sources

Satellite and Ground Observations of Snow Cover in Tibet during 2001–2015

Remote Sensing, 2017
The seasonal snow cover of the Tibetan Plateau exerts a profound environmental influence both regionally and globally. Daily observations of snow depth at 37 meteorological stations in Tibet and MODIS eight-day snow products (MOD10A2) during the period ...
Droma Basang, Knut Barthel, Jan Asle Olseth   +2 more
doaj   +1 more source

A Conditional Probability Interpolation Method Based on a Space-Time Cube for MODIS Snow Cover Products Gap Filling

Remote Sensing, 2020
Seasonal snow cover is closely related to regional climate and hydrological processes. In this study, Moderate Resolution Imaging Spectroradiometer (MODIS) daily snow cover products from 2001 to 2018 were applied to analyze the snow cover variation in ...
Siyong Chen, Xiaoyan Wang, Hui Guo, Peiyao Xie, Jian Wang, Xiaohua Hao   +5 more
doaj   +1 more source

Retrieval of subpixel snow covered area, grain size, and albedo from MODIS

Remote Sensing of Environment, 2009
article i nfo We describe and validate a model that retrieves fractional snow-covered area and the grain size and albedo of that snow from surface reflectance data (product MOD09GA) acquired by NASA's Moderate Resolution Imaging Spectroradiometer (MODIS).
Painter, Thomas H, Rittger, Karl, McKenzie, Ceretha, Slaughter, Peter, Davis, Robert E, Dozier, Jeff   +5 more
openaire   +3 more sources

Potential of using remote sensing techniques for global assessment of water footprint of crops [PDF]

, 2010
Remote sensing has long been a useful tool in global applications, since it provides physically-based, worldwide, and consistent spatial information. This paper discusses the potential of using these techniques in the research field of water management ...
Hoekstra, Arjen Y., Krol, Maarten S., Romaguera, Mireia, Salama, Mhd. Suhyb, Su, Zhongbo   +4 more
core   +7 more sources

Application of MODIS snow cover products: wildfire impacts on snow and melt in the Sierra Nevada [PDF]

Hydrology and Earth System Sciences, 2014
The current work evaluates the spatial and temporal variability in snow after a large forest fire in northern California using Moderate Resolution Imaging Spectroradiometer (MODIS) snow-covered area and grain size (MODSCAG). MODIS MOD10A1 fractional snow-
P. D. Micheletty, A. M. Kinoshita, T. S. Hogue   +2 more
doaj   +1 more source

Spatial snow water equivalent estimation for mountainous areas using wireless-sensor networks and remote-sensing products [PDF]

, 2018
We developed an approach to estimate snow water equivalent (SWE) through interpolation of spatially representative point measurements using a k-nearest neighbors (k-NN) algorithm and historical spatial SWE data.
Bales, RC, Conklin, MH, Molotch, NP, Oroza, CA, Zheng, Z   +4 more
core   +1 more source

Evaluation of MODIS LAI/FPAR product Collection 6. Part 2: Validation and intercomparison [PDF]

, 2016
The aim of this paper is to assess the latest version of the MODIS LAI/FPAR product (MOD15A2H), namely Collection 6 (C6). We comprehensively evaluate this product through three approaches: validation with field measurements, intercomparison with other ...
Chen, Chi, Knyazikhin, Yuri, Liu, Zhao, Myneni, Ranga B., Nemani, Ramakrishna R., Park, Taejin, Yan, Guangjian, Yan, Kai, Yang, Bin   +8 more
core   +2 more sources

Dynamics of Maximum Snow Cover Area and Snow Line Altitude Across Nepal (2003-2018) Using Improved MODIS Data

Journal of Institute of Science and Technology, 2020
Snow is one of the main components of the cryosphere and plays a vital role in the hydrology and regulating climate. This study presents the dynamics of maximum snow cover area (SCA) and snow line altitude (SLA) across the Western, Central, and Eastern Nepal using improved Moderate Resolution Imaging Spectroradiometer (MODIS; 500 m) data from 2003 to ...
Shankar Sharma, Dibas Shrestha, Kalpana Hamal, Sudeep Thakuri, Xiaoqing Chen, Shravan Kumar Ghimire, Nitesh Khadka, Nitesh Khadka   +7 more
openaire   +1 more source