Deep learning in environmental remote sensing: Achievements and challenges
Various forms of machine learning (ML) methods have historically played a valuable role in
environmental remote sensing research. With an increasing amount of “big data” from earth …
environmental remote sensing research. With an increasing amount of “big data” from earth …
Simulating current and future river-flows in the Karakoram and Himalayan regions of Pakistan using snowmelt-runoff model and RCP scenarios
Upper Indus Basin (UIB) supplies more than 70% flow to the downstream agricultural areas
during summer due to the melting of snow and glacial ice. The estimation of the stream flow …
during summer due to the melting of snow and glacial ice. The estimation of the stream flow …
A distributed cellular automata model to simulate potential future impacts of climate change on snow cover area
AJ Collados-Lara, E Pardo-Igúzquiza… - Advances in water …, 2019 - Elsevier
Snow dynamics in alpine systems play an important role in water resources management.
One of the main variables that characterises the snowpack is snow cover area. In this paper …
One of the main variables that characterises the snowpack is snow cover area. In this paper …
Remote sensing for snow hydrology in China: challenges and perspectives
Snow is one of the most important components of the cryosphere. Remote sensing of snow
focuses on the retrieval of snow parameters and monitoring of variations in snow using …
focuses on the retrieval of snow parameters and monitoring of variations in snow using …
[HTML][HTML] STAR NDSI collection: A cloud-free MODIS NDSI dataset (2001–2020) for China
Snow dynamics are crucial in ecosystems, affecting radiation balance, hydrological cycles,
biodiversity, and human activities. Snow areas with notably diverse characteristics are …
biodiversity, and human activities. Snow areas with notably diverse characteristics are …
Enhanced scaling effects significantly lower the ability of MODIS normalized difference snow index to estimate fractional and binary snow cover on the Tibetan Plateau
MODIS fractional (FSC) and binary (BSC) snow-cover data are important for obtaining
accurate spatiotemporal snow-cover information for the Tibetan Plateau (TP) where rapid …
accurate spatiotemporal snow-cover information for the Tibetan Plateau (TP) where rapid …
Validation of regional-scale remote sensing products in China: From site to network
Validation is mandatory to quantify the reliability of remote sensing products (RSPs).
However, this process is not straightforward and usually presents formidable challenges in …
However, this process is not straightforward and usually presents formidable challenges in …
On the value of available MODIS and Landsat8 OLI image pairs for MODIS fractional snow cover mapping based on an artificial neural network
This article investigates how to select the optimal Moderate-Resolution Imaging
Spectroradiometer (MODIS) and Landsat 8 OLI image pairs for MODIS fractional snow cover …
Spectroradiometer (MODIS) and Landsat 8 OLI image pairs for MODIS fractional snow cover …
Binary and Fractional MODIS Snow Cover Mapping Boosted by Machine Learning and Big Landsat Data
It is promising to improve Moderate Resolution Imaging Spectroradiometer (MODIS) snow
cover mapping by training effective machine learning models. However, considering the …
cover mapping by training effective machine learning models. However, considering the …
Assessing the impact of climate change–and its uncertainty–on snow cover areas by using cellular automata models and stochastic weather generators
AJ Collados-Lara, E Pardo-Igúzquiza… - Science of the Total …, 2021 - Elsevier
Climate change will modify the spatiotemporal distribution of water resources in the future.
Snow availability in alpine systems plays an important role for water dependent ecosystems …
Snow availability in alpine systems plays an important role for water dependent ecosystems …