Google Earth Engine and artificial intelligence (AI): a comprehensive review
Remote sensing (RS) plays an important role gathering data in many critical domains (eg,
global climate change, risk assessment and vulnerability reduction of natural hazards …
global climate change, risk assessment and vulnerability reduction of natural hazards …
Challenges to use machine learning in agricultural big data: a systematic literature review
Agricultural Big Data is a set of technologies that allows responding to the challenges of the
new data era. In conjunction with machine learning, farmers can use data to address …
new data era. In conjunction with machine learning, farmers can use data to address …
Map** of cropland, crop** patterns and crop types by combining optical remote sensing images with decision tree classifier and random forest
Map** and monitoring the distribution of croplands and crop types support policymakers
and international organizations by reducing the risks to food security, notably from climate …
and international organizations by reducing the risks to food security, notably from climate …
[HTML][HTML] Current and near-term advances in Earth observation for ecological applications
SL Ustin, EM Middleton - Ecological Processes, 2021 - Springer
There is an unprecedented array of new satellite technologies with capabilities for
advancing our understanding of ecological processes and the changing composition of the …
advancing our understanding of ecological processes and the changing composition of the …
Estimation of surface-level NO2 and O3 concentrations using TROPOMI data and machine learning over East Asia
Abstract In East Asia, air quality has been recognized as an important public health problem.
In particular, the surface concentrations of air pollutants are closely related to human life …
In particular, the surface concentrations of air pollutants are closely related to human life …
Map** croplands of Europe, middle east, russia, and central asia using landsat, random forest, and google earth engine
Accurate and timely information on croplands is important for environmental, food security,
and policy studies. Spatially explicit cropland datasets are also required to derive …
and policy studies. Spatially explicit cropland datasets are also required to derive …
Google Earth Engine for large-scale land use and land cover map**: An object-based classification approach using spectral, textural and topographical factors
H Shafizadeh-Moghadam, M Khazaei… - GIScience & Remote …, 2021 - Taylor & Francis
Map** the distribution and type of land use and land cover (LULC) is essential for
watershed management. The Tigris-Euphrates basin is a transboundary region in the Middle …
watershed management. The Tigris-Euphrates basin is a transboundary region in the Middle …
[HTML][HTML] Forecasting disruptions in global food value chains to tackle food insecurity: The role of AI and big data analytics–A bibliometric and scientometric analysis
Globalization and interconnected supply chains have led to complex disruptions in global
value chains, caused by various factors such as natural disasters, climate events …
value chains, caused by various factors such as natural disasters, climate events …
A review of regional and Global scale Land Use/Land Cover (LULC) map** products generated from satellite remote sensing
Y Wang, Y Sun, X Cao, Y Wang, W Zhang… - ISPRS Journal of …, 2023 - Elsevier
Abstract Land Use and Land Cover (LULC) map** products are essential for various
environmental studies, including ecological environmental assessments, resource …
environmental studies, including ecological environmental assessments, resource …
Use and adaptations of machine learning in big data—Applications in real cases in agriculture
A Cravero, S Sepúlveda - Electronics, 2021 - mdpi.com
The data generated in modern agricultural operations are provided by diverse elements,
which allow a better understanding of the dynamic conditions of the crop, soil and climate …
which allow a better understanding of the dynamic conditions of the crop, soil and climate …