Cloud-based storage and computing for remote sensing big data: a technical review

C Xu, X Du, X Fan, G Giuliani, Z Hu… - … Journal of Digital …, 2022 - Taylor & Francis
The rapid growth of remote sensing big data (RSBD) has attracted considerable attention
from both academia and industry. Despite the progress of computer technologies …

Urban climate informatics: An emerging research field

A Middel, N Nazarian, M Demuzere… - … in Environmental Science, 2022 - frontiersin.org
The scientific field of urban climatology has long investigated the two-way interactions
between cities and their overlying atmosphere through in-situ observations and climate …

A scalable computing resources system for remote sensing big data processing using geopyspark based on spark on k8s

J Guo, C Huang, J Hou - Remote Sensing, 2022 - mdpi.com
As a result of Earth observation (EO) entering the era of big data, a significant challenge
relating to by the storage, analysis, and visualization of a massive amount of remote sensing …

[HTML][HTML] Data Science Toolkit: An all-in-one python library to help researchers and practitioners in implementing data science-related algorithms with less effort

C El Hachimi, S Belaqziz, S Khabba, A Chehbouni - Software Impacts, 2022 - Elsevier
Abstract Data Science Toolkit (DST) is a python library built as a wrapper layer on top of
several libraries to increase the abstraction level of the code, making its users more efficient …

Multidimensional architecture using a massive and heterogeneous data: Application to drought monitoring

H Balti, AB Abbes, N Mellouli, IR Farah, Y Sang… - Future Generation …, 2022 - Elsevier
The rapid increase in the number of Earth Observation (EO) systems generates a massive
amount of heterogeneous data. It has raised big issues in collecting, preprocessing, storing …

Rivers running green: water hyacinth invasion monitored from space

N Janssens, L Schreyers, L Biermann… - Environmental …, 2022 - iopscience.iop.org
Water hyacinth is an aquatic free-floating plant that is highly invasive, to the extent that it is
now present in most freshwater bodies in sub-tropical and tropical regions worldwide. Due …

Monitoring complex integrated crop–livestock systems at regional scale in Brazil: A big earth observation data approach

PC Kuchler, M Simões, R Ferraz, D Arvor… - Remote Sensing, 2022 - mdpi.com
Due to different combinations of agriculture, livestock and forestry managed by rotation,
succession and intercropping practices, integrated agriculture production systems such as …

Optimized software tools to generate large spatio-temporal data using the datacubes concept: Application to crop classification in cap bon, tunisia

A Chakhar, D Hernández-López, R Zitouna-Chebbi… - Remote Sensing, 2022 - mdpi.com
In the context of a changing climate, monitoring agricultural systems is becoming
increasingly important. Remote sensing products provide essential information for the crop …

[PDF][PDF] DYNAMICS OF DISTURBANCE IN MATOPIBA USING TIME SERIES OF SPECTRAL INDICES

LS Galvão, TS Körting - CEP, 2022 - mtc-m21d.sid.inpe.br
The Cerrado is the second largest biome in Brazil, occupying around 2 million km2. It is
considered a global hotspot of biodiversity that is threatened by agribusiness expansion and …

[PDF][PDF] Software Impacts

C El Hachimi, S Belaqziz, S Khabba, A Chehbouni - researchgate.net
ABSTRACT Data Science Toolkit (DST) is a python library built as a wrapper layer on top of
several libraries to increase the abstraction level of the code, making its users more efficient …