Google Earth Engine: a global analysis and future trends
The continuous increase in the volume of geospatial data has led to the creation of storage
tools and the cloud to process data. Google Earth Engine (GEE) is a cloud-based platform …
tools and the cloud to process data. Google Earth Engine (GEE) is a cloud-based platform …
An enhanced pixel-based phenological feature for accurate paddy rice map** with Sentinel-2 imagery in Google Earth Engine
Accurate paddy rice map** with remote sensing at a regional scale plays critical roles in
agriculture and ecology. Previous studies mainly employed a single key phenological period …
agriculture and ecology. Previous studies mainly employed a single key phenological period …
Map** cropland extent of Southeast and Northeast Asia using multi-year time-series Landsat 30-m data using a random forest classifier on the Google Earth Engine …
Cropland extent maps are useful components for assessing food security. Ideally, such
products are a useful addition to countrywide agricultural statistics since they are not …
products are a useful addition to countrywide agricultural statistics since they are not …
[HTML][HTML] A robust index to extract paddy fields in cloudy regions from SAR time series
Timely and accurate map** of paddy rice cultivation is needed for maintaining sustainable
rice production, ensuring food security, and monitoring water usage. Synthetic Aperture …
rice production, ensuring food security, and monitoring water usage. Synthetic Aperture …
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 …
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 …
Deep machine learning with Sentinel satellite data to map paddy rice production stages across West Java, Indonesia
Indonesia recently implemented a novel, technology-driven approach for conducting
agricultural production surveys, which involves monthly observations at many thousands of …
agricultural production surveys, which involves monthly observations at many thousands of …
High resolution paddy rice maps in cloud-prone Bangladesh and Northeast India using Sentinel-1 data
M Singha, J Dong, G Zhang, X **_paddy_rice_by_the_object-based_random_forest_method_using_time_series_Sentinel-1_Sentinel-2_data/links/5e490fd2458515072da0bae7/Map**-paddy-rice-by-the-object-based-random-forest-method-using-time-series-Sentinel-1-Sentinel-2-data.pdf" data-clk="hl=ar&sa=T&oi=gga&ct=gga&cd=9&d=5036732122882597768&ei=e7ynZ-rqMcXBieoPj5LC2AQ" data-clk-atid="iGM3FS4R5kUJ" target="_blank">[PDF] researchgate.net
Map** paddy rice by the object-based random forest method using time series Sentinel-1/Sentinel-2 data
Rice is one of the world's major staple foods, especially in China. In this study, we proposed
an object-based random forest (RF) method for paddy rice map** using time series …
an object-based random forest (RF) method for paddy rice map** using time series …