Research graph
References from Estimating aman and aus rice area in Bangladesh using sentinel-1 imagery and machine learning algorithms. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
2024 · External reference
Rice crop mapping using sentinel-1 time series images (Case study: Mazandaran, Iran)
10.5194/isprs-archives-xlii-4-w18-897-2019 · 2019 · External reference
Operational near real time rice area mapping using multi-temporal sentinel-1 SAR observations
10.5194/isprs-archives-xlii-4-433-2018 · 2018 · External reference
High resolution paddy rice maps in cloud-prone Bangladesh and Northeast India using Sentinel-1 data
10.1038/s41597-019-0036-3 · 2019 · External reference
Automated near-real-time mapping and monitoring of rice extent, cropping patterns, and growth stages in Southeast Asia using Sentinel-1 time series on a Google Earth Engine platform
10.3390/rs11141666 · 2019 · External reference
10.1109/igarss52108.2023.10282941
10.1109/igarss52108.2023.10282941 · External reference
Mapping a paddy rice area in a cloudy and rainy region using spatiotemporal data fusion and a phenology-based algorithm
10.3390/rs13214400 · 2021 · External reference
An automatic decision-level fusion rice mapping method of optical and SAR images based on cloud coverage
10.1109/jstars.2025.3528124 · 2025 · External reference
A high-resolution distribution dataset of paddy rice in India based on satellite data
10.3390/rs16173180 · 2024 · External reference
10.1109/igarss53475.2024.10642214
10.1109/igarss53475.2024.10642214 · External reference
Monitoring rice agriculture across myanmar using time series sentinel-1 assisted by landsat-8 and PALSAR-2
10.3390/rs9020119 · 2017 · External reference
Unresolved reference
2025 · External reference
Unidirectional trends in rainfall and temperature of Bangladesh
2014 · External reference
Estimation of Boro rice area in Bangladesh using Sentinel-2 imagery and machine learning algorithms: Climate change and agricultural adaptation in Bangladesh
10.3329/bjagri.v50i1.82923 · 2025 · External reference
Google Earth Engine: planetary-scale geospatial analysis for everyone
10.1016/j.rse.2017.06.031 · 2017 · External reference
Use of time series Sentinel-1 and Sentinel-2 image for rice crop inventory in parts of Bangladesh
10.1007/s12518-023-00501-2 · 2023 · External reference
Integrating remote sensing, landscape metrics, and random forest algorithm to analyze crop patterns, factors, diversity, and fragmentation in a kharif agricultural landscape
10.3390/land14061203 · 2025 · External reference
Rice area estimation using parameterized classification of sentinel 1A SAR data
2019 · External reference
Monitoring rice growth status in the Mekong Delta, Vietnam using multitemporal Sentinel-1 data
10.1117/1.jrs.14.014518 · 2020 · External reference
Utilizing sentinel-1a radar images for large-area land cover mapping with machine-learning methods
10.1080/07038992.2019.1635877 · 2019 · External reference
An analysis of the rice-cultivation dynamics in the lower utcubamba river basin using SAR and optical imagery in google earth engine (GEE)
10.3390/agronomy14030557 · 2024 · External reference
Unresolved reference
External reference
Use of time series Sentinel-1 and Sentinel-2 image for rice crop inventory in parts of Bangladesh
10.1007/s12518-023-00501-2 · ExternalCitation · doi-reference
Google Earth Engine: planetary-scale geospatial analysis for everyone
10.1016/j.rse.2017.06.031 · ExternalCitation · doi-reference
High resolution paddy rice maps in cloud-prone Bangladesh and Northeast India using Sentinel-1 data
10.1038/s41597-019-0036-3 · ExternalCitation · doi-reference
Utilizing sentinel-1a radar images for large-area land cover mapping with machine-learning methods
10.1080/07038992.2019.1635877 · ExternalCitation · doi-reference
10.1109/igarss52108.2023.10282941
10.1109/igarss52108.2023.10282941 · ExternalCitation · doi-reference
10.1109/igarss53475.2024.10642214
10.1109/igarss53475.2024.10642214 · ExternalCitation · doi-reference
An automatic decision-level fusion rice mapping method of optical and SAR images based on cloud coverage
10.1109/jstars.2025.3528124 · ExternalCitation · doi-reference
Monitoring rice growth status in the Mekong Delta, Vietnam using multitemporal Sentinel-1 data
10.1117/1.jrs.14.014518 · ExternalCitation · doi-reference
Estimation of Boro rice area in Bangladesh using Sentinel-2 imagery and machine learning algorithms: Climate change and agricultural adaptation in Bangladesh
10.3329/bjagri.v50i1.82923 · ExternalCitation · doi-reference
An analysis of the rice-cultivation dynamics in the lower utcubamba river basin using SAR and optical imagery in google earth engine (GEE)
10.3390/agronomy14030557 · ExternalCitation · doi-reference
Integrating remote sensing, landscape metrics, and random forest algorithm to analyze crop patterns, factors, diversity, and fragmentation in a kharif agricultural landscape
10.3390/land14061203 · ExternalCitation · doi-reference
Automated near-real-time mapping and monitoring of rice extent, cropping patterns, and growth stages in Southeast Asia using Sentinel-1 time series on a Google Earth Engine platform
10.3390/rs11141666 · ExternalCitation · doi-reference
Mapping a paddy rice area in a cloudy and rainy region using spatiotemporal data fusion and a phenology-based algorithm
10.3390/rs13214400 · ExternalCitation · doi-reference
A high-resolution distribution dataset of paddy rice in India based on satellite data
10.3390/rs16173180 · ExternalCitation · doi-reference
Monitoring rice agriculture across myanmar using time series sentinel-1 assisted by landsat-8 and PALSAR-2
10.3390/rs9020119 · ExternalCitation · doi-reference
Operational near real time rice area mapping using multi-temporal sentinel-1 SAR observations
10.5194/isprs-archives-xlii-4-433-2018 · ExternalCitation · doi-reference
Rice crop mapping using sentinel-1 time series images (Case study: Mazandaran, Iran)
10.5194/isprs-archives-xlii-4-w18-897-2019 · ExternalCitation · doi-reference
