Google earth engine cloud computing platform for remote sensing big data applications: A comprehensive review
M Amani, A Ghorbanian, SA Ahmadi… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
Remote sensing (RS) systems have been collecting massive volumes of datasets for
decades, managing and analyzing of which are not practical using common software …
decades, managing and analyzing of which are not practical using common software …
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 …
The 10-m crop type maps in Northeast China during 2017–2019
Northeast China is the leading grain production region in China where one-fifth of the
national grain is produced; however, consistent and reliable crop maps are still unavailable …
national grain is produced; however, consistent and reliable crop maps are still unavailable …
A comprehensive review of crop yield prediction using machine learning approaches with special emphasis on palm oil yield prediction
An early and reliable estimation of crop yield is essential in quantitative and financial
evaluation at the field level for determining strategic plans in agricultural commodities for …
evaluation at the field level for determining strategic plans in agricultural commodities for …
Uniting remote sensing, crop modelling and economics for agricultural risk management
The increasing availability of satellite data at higher spatial, temporal and spectral
resolutions is enabling new applications in agriculture and economic development …
resolutions is enabling new applications in agriculture and economic development …
Integrating multi-source data for rice yield prediction across China using machine learning and deep learning approaches
Timely and reliable yield prediction at a large scale is imperative and prerequisite to prevent
climate risk and ensure food security, especially with climate change and increasing …
climate risk and ensure food security, especially with climate change and increasing …
Satellite-based soybean yield forecast: Integrating machine learning and weather data for improving crop yield prediction in southern Brazil
Soybean yield predictions in Brazil are of great interest for market behavior, to drive
governmental policies and to increase global food security. In Brazil soybean yield data …
governmental policies and to increase global food security. In Brazil soybean yield data …
[HTML][HTML] County-level soybean yield prediction using deep CNN-LSTM model
Yield prediction is of great significance for yield mapping, crop market planning, crop
insurance, and harvest management. Remote sensing is becoming increasingly important in …
insurance, and harvest management. Remote sensing is becoming increasingly important in …
Garlic and winter wheat identification based on active and passive satellite imagery and the google earth engine in northern china
Garlic and winter wheat are major economic and grain crops in China, and their boundaries
have increased substantially in recent decades. Updated and accurate garlic and winter …
have increased substantially in recent decades. Updated and accurate garlic and winter …
Weakly supervised deep learning for segmentation of remote sensing imagery
Accurate automated segmentation of remote sensing data could benefit applications from
land cover mapping and agricultural monitoring to urban development surveyal and disaster …
land cover mapping and agricultural monitoring to urban development surveyal and disaster …