A review of the application of optical and radar remote sensing data fusion to land use map** and monitoring

N Joshi, M Baumann, A Ehammer, R Fensholt… - Remote Sensing, 2016 - mdpi.com
The wealth of complementary data available from remote sensing missions can hugely aid
efforts towards accurately determining land use and quantifying subtle changes in land use …

Crop type classification using a combination of optical and radar remote sensing data: A review

A Orynbaikyzy, U Gessner, C Conrad - international journal of …, 2019 - Taylor & Francis
Reliable and accurate crop classification maps are an important data source for agricultural
monitoring and food security assessment studies. For many years, crop type classification …

Accessing the temporal and spectral features in crop type map** using multi-temporal Sentinel-2 imagery: A case study of Yi'an County, Heilongjiang province …

H Zhang, J Kang, X Xu, L Zhang - Computers and Electronics in Agriculture, 2020 - Elsevier
Crop type map** visualizes the spatial distribution patterns and proportions of the
cultivated areas with different crop types, and is the basis for subsequent agricultural …

Map** paddy rice using a convolutional neural network (CNN) with Landsat 8 datasets in the Dongting Lake Area, China

M Zhang, H Lin, G Wang, H Sun, J Fu - Remote Sensing, 2018 - mdpi.com
Rice is one of the world's major staple foods, especially in China. Highly accurate monitoring
on rice-producing land is, therefore, crucial for assessing food supplies and productivity …

[HTML][HTML] High-resolution map** of paddy rice extent and growth stages across peninsular malaysia using a fusion of sentinel-1 and 2 time series data in google …

Fatchurrachman, Rudiyanto, NC Soh, RM Shah… - Remote Sensing, 2022 - mdpi.com
Rice is the staple crop for more than half the world's population, but there is a lack of high-
resolution maps outlining rice areas and their growth stages. Most remote sensing studies …