Recent applications of Landsat 8/OLI and Sentinel-2/MSI for land use and land cover mapping: A systematic review
M ED Chaves, M CA Picoli, I D. Sanches - Remote Sensing, 2020 - mdpi.com
Recent applications of Landsat 8 Operational Land Imager (L8/OLI) and Sentinel-2
MultiSpectral Instrument (S2/MSI) data for acquiring information about land use and land …
MultiSpectral Instrument (S2/MSI) data for acquiring information about land use and land …
Remote sensing for precision agriculture: Sentinel-2 improved features and applications
The use of satellites to monitor crops and support their management is gathering increasing
attention. The improved temporal, spatial, and spectral resolution of the European Space …
attention. The improved temporal, spatial, and spectral resolution of the European Space …
Towards paddy rice smart farming: a review on big data, machine learning, and rice production tasks
Big Data (BD), Machine Learning (ML) and Internet of Things (IoT) are expected to have a
large impact on Smart Farming and involve the whole supply chain, particularly for rice …
large impact on Smart Farming and involve the whole supply chain, particularly for rice …
An enhanced pixel-based phenological feature for accurate paddy rice mapping with Sentinel-2 imagery in Google Earth Engine
Accurate paddy rice mapping 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 …
[HTML][HTML] A robust index to extract paddy fields in cloudy regions from SAR time series
Timely and accurate mapping 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 …
Evaluating the efficiency of coarser to finer resolution multispectral satellites in mapping paddy rice fields using GEE implementation
M Waleed, M Mubeen, A Ahmad… - Scientific Reports, 2022 - nature.com
Timely and accurate estimation of rice-growing areas and forecasting of production can
provide crucial information for governments, planners, and decision-makers in formulating …
provide crucial information for governments, planners, and decision-makers in formulating …
Rapid flood mapping and evaluation with a supervised classifier and change detection in Shouguang using Sentinel-1 SAR and Sentinel-2 optical data
M Huang, S Jin - Remote Sensing, 2020 - mdpi.com
Rapid flood mapping is crucial in hazard evaluation and forecasting, especially in the early
stage of hazards. Synthetic aperture radar (SAR) images are able to penetrate clouds and …
stage of hazards. Synthetic aperture radar (SAR) images are able to penetrate clouds and …
[HTML][HTML] A full resolution deep learning network for paddy rice mapping using Landsat data
Rice is the most important food crop in the developing world, and more than half of the
global population consumes it as a staple food. Mapping the area of rice cultivation in a …
global population consumes it as a staple food. Mapping the area of rice cultivation in a …
Enhancing flood susceptibility modeling using multi-temporal SAR images, CHIRPS data, and hybrid machine learning algorithms
Flood susceptibility maps are useful tool for planners and emergency management
professionals in the early warning and mitigation stages of floods. In this study, Sentinel-1 …
professionals in the early warning and mitigation stages of floods. In this study, Sentinel-1 …
[HTML][HTML] Examining rice distribution and cropping intensity in a mixed single-and double-cropping region in South China using all available Sentinel 1/2 images
Paddy rice agriculture in Southern China, especially Hunan Province, has been suffered
from soil contamination. Several policies including rice fallow and decreasing cropping …
from soil contamination. Several policies including rice fallow and decreasing cropping …