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Evolution of regional to global paddy rice map** methods: A review
J Dong, X ** rice area and forecasting its production: A review
MK Mosleh, QK Hassan, EH Chowdhury - Sensors, 2015 - mdpi.com
Rice is one of the staple foods for more than three billion people worldwide. Rice paddies
accounted for approximately 11.5% of the World's arable land area during 2012. Rice …
accounted for approximately 11.5% of the World's arable land area during 2012. Rice …
[HTML][HTML] A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud …
Map** high resolution (30-m or better) cropland extent over very large areas such as
continents or large countries or regions accurately, precisely, repeatedly, and rapidly is of …
continents or large countries or regions accurately, precisely, repeatedly, and rapidly is of …
[HTML][HTML] Monitoring rice agriculture across myanmar using time series Sentinel-1 assisted by Landsat-8 and PALSAR-2
Assessment and monitoring of rice agriculture over large areas has been limited by cloud
cover, optical sensor spatial and temporal resolutions, and lack of systematic or open access …
cover, optical sensor spatial and temporal resolutions, and lack of systematic or open access …
Annual paddy rice planting area and crop** intensity datasets and their dynamics in the Asian monsoon region from 2000 to 2020
CONTEXT Timely information on the spatiotemporal trends in annual paddy rice planting
areas (PRA) and crop** intensity (CI) in Asia is important for food security warnings and …
areas (PRA) and crop** intensity (CI) in Asia is important for food security warnings and …
Lives saved with vaccination for 10 pathogens across 112 countries in a pre-COVID-19 world
Background: Vaccination is one of the most effective public health interventions. We
investigate the impact of vaccination activities for Haemophilus influenzae type b, hepatitis …
investigate the impact of vaccination activities for Haemophilus influenzae type b, hepatitis …
[HTML][HTML] Rice crop detection using LSTM, Bi-LSTM, and machine learning models from Sentinel-1 time series
H Crisóstomo de Castro Filho… - Remote Sensing, 2020 - mdpi.com
The Synthetic Aperture Radar (SAR) time series allows describing the rice phenological
cycle by the backscattering time signature. Therefore, the advent of the Copernicus Sentinel …
cycle by the backscattering time signature. Therefore, the advent of the Copernicus Sentinel …
Agricultural cropland extent and areas of South Asia derived using Landsat satellite 30-m time-series big-data using random forest machine learning algorithms on the …
ABSTRACT The South Asia (India, Pakistan, Bangladesh, Nepal, Sri Lanka and Bhutan) has
a staggering 900 million people (~ 43% of the population) who face food insecurity or severe …
a staggering 900 million people (~ 43% of the population) who face food insecurity or severe …
Crop type maps for operational global agricultural monitoring
Crop type maps identify the spatial distribution of crop types and underpin a large range of
agricultural monitoring applications ranging from early warning of crop shortfalls, crop …
agricultural monitoring applications ranging from early warning of crop shortfalls, crop …
Global rain-fed, irrigated, and paddy croplands: A new high resolution map derived from remote sensing, crop inventories and climate data
Irrigation accounts for 70% of global water use by humans and 33–40% of global food
production comes from irrigated croplands. Accurate and timely information related to global …
production comes from irrigated croplands. Accurate and timely information related to global …