Google Earth Engine for geo-big data applications: A meta-analysis and systematic review

H Tamiminia, B Salehi, M Mahdianpari… - ISPRS journal of …, 2020 - Elsevier
Abstract Google Earth Engine (GEE) is a cloud-based geospatial processing platform for
large-scale environmental monitoring and analysis. The free-to-use GEE platform provides …

Big data for remote sensing: Challenges and opportunities

M Chi, A Plaza, JA Benediktsson, Z Sun… - Proceedings of the …, 2016 - ieeexplore.ieee.org
Every day a large number of Earth observation (EO) spaceborne and airborne sensors from
many different countries provide a massive amount of remotely sensed data. Those data are …

Hyperspectral remote sensing data analysis and future challenges

JM Bioucas-Dias, A Plaza… - … and remote sensing …, 2013 - ieeexplore.ieee.org
Hyperspectral remote sensing technology has advanced significantly in the past two
decades. Current sensors onboard airborne and spaceborne platforms cover large areas of …

Remote sensing big data computing: Challenges and opportunities

Y Ma, H Wu, L Wang, B Huang, R Ranjan… - Future Generation …, 2015 - Elsevier
As we have entered an era of high resolution earth observation, the RS data are undergoing
an explosive growth. The proliferation of data also give rise to the increasing complexity of …

Hyperspectral unmixing overview: Geometrical, statistical, and sparse regression-based approaches

JM Bioucas-Dias, A Plaza, N Dobigeon… - IEEE journal of …, 2012 - ieeexplore.ieee.org
Imaging spectrometers measure electromagnetic energy scattered in their instantaneous
field view in hundreds or thousands of spectral channels with higher spectral resolution than …

Advances in hyperspectral remote sensing of vegetation and agricultural crops

PS Thenkabail, JG Lyon, A Huete - … , Sensor Systems, Spectral …, 2018 - taylorfrancis.com
Hyperspectral data (Table 1) is acquired as continuous narrowbands (eg, each band with 1
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …

POLARIS: A 30-meter probabilistic soil series map of the contiguous United States

NW Chaney, EF Wood, AB McBratney, JW Hempel… - Geoderma, 2016 - Elsevier
A new complete map of soil series probabilities has been produced for the contiguous
United States at a 30 m spatial resolution. This innovative database, named POLARIS, is …

pipsCloud: High performance cloud computing for remote sensing big data management and processing

L Wang, Y Ma, J Yan, V Chang, AY Zomaya - Future Generation Computer …, 2018 - Elsevier
Massive, large-region coverage, multi-temporal, multi-spectral remote sensing (RS) datasets
are employed widely due to the increasing requirements for accurate and up-to-date …

Spatial cloud computing: how can the geospatial sciences use and help shape cloud computing?

C Yang, M Goodchild, Q Huang, D Nebert… - … Journal of Digital …, 2011 - Taylor & Francis
The geospatial sciences face grand information technology (IT) challenges in the twenty-first
century: data intensity, computing intensity, concurrent access intensity and spatiotemporal …

A new deep generative network for unsupervised remote sensing single-image super-resolution

JM Haut, R Fernandez-Beltran… - … on Geoscience and …, 2018 - ieeexplore.ieee.org
Super-resolution (SR) brings an excellent opportunity to improve a wide range of different
remote sensing applications. SR techniques are concerned about increasing the image …