Advanced search
Publication Cover
Remote Sensing Letters Volume 8, 2017 - Issue 10
Submit an article Journal homepage
475
Views
38
CrossRef citations to date
0
Altmetric
Original Articles

Evaluating the potential of temporal Sentinel-1A data for paddy rice discrimination at local scales

Lamin R. MansarayInstitute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China;Key Laboratory of Agricultural Remote Sensing and Information Systems, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang Province, China;Department of Agro-meteorology and Geo-informatics, Magbosi Land, Water and Environment Research Centre (MLWERC), Sierra Leone Agricultural Research Institute (SLARI), Freetown, Sierra LeoneORCID Iconhttp://orcid.org/0000-0001-9250-3657View further author information
ORCID Icon,
Dongdong ZhangInstitute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China;Key Laboratory of Agricultural Remote Sensing and Information Systems, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang Province, ChinaView further author information
,
Zhen ZhouAgricultural Image Processing Laboratory, Jiangsu Radio Scientific Research Institute Co. Ltd., Wuxi, Jiangsu, ChinaView further author information
&
Jingfeng HuangInstitute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China;Key Laboratory of Agricultural Remote Sensing and Information Systems, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, Zhejiang Province, ChinaCorrespondence[email protected]
View further author information
Pages 967-976 | Received 01 Jan 2017, Accepted 09 May 2017, Published online: 15 Jun 2017

Citations (38)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (8)

Nilimesh Mridha, Biplab Saha, Tanumoy Bera, Saptarshi Sarkar & Koushik Manna. (2023) Near real-time mapping of jute (Corchorus sp.) area using multi-temporal Sentinel-1 intensity data over the central part of West Bengal, India. Journal of Spatial Science 0:0, pages 1-17.
Read now
Bikash Ranjan Parida & Sheelu Singh. (2023) Spatial mapping of winter wheat using C-band SAR (Sentinel-1A) data and yield prediction in Gorakhpur district, Uttar Pradesh (India). Journal of Spatial Science 68:1, pages 91-106.
Read now
Lamin R. Mansaray, Victor T. S. Kabba & Lingbo Yang. (2022) Rice biophysical parameter retrieval with optical satellite imagery: a comparative assessment of parametric and non-parametric models. Geocarto International 37:26, pages 13561-13578.
Read now
Lamin R. Mansaray, Fumin Wang, Adam S. Kanu & Lingbo Yang. (2022) Evaluating Sentinel-1A datasets for rice leaf area index estimation based on machine learning regression models. Geocarto International 37:5, pages 1225-1236.
Read now
Lamin R. Mansaray, Adam Sheka Kanu, Lingbo Yang & Jingfeng Huang. (2022) Dynamic modelling of rice leaf area index with quad-source optical imagery and machine learning regression models. Geocarto International 37:3, pages 828-840.
Read now
Xue Zhang, Gaoxiang Yang, Xinjie Xu, Xia Yao, Hengbiao Zheng, Yan Zhu, Weixing Cao & Tao Cheng. (2021) An assessment of Planet satellite imagery for county-wide mapping of rice planting areas in Jiangsu Province, China with one-class classification approaches. International Journal of Remote Sensing 42:19, pages 7610-7635.
Read now
Lamin R. Mansaray, Fumin Wang, Jingfeng Huang, Lingbo Yang & Adam Sheka Kanu. (2020) Accuracies of support vector machine and random forest in rice mapping with Sentinel-1A, Landsat-8 and Sentinel-2A datasets. Geocarto International 35:10, pages 1088-1108.
Read now
Lamin R. Mansaray, Lingbo Yang, Victor T. S. Kabba, Adam S. Kanu, Jingfeng Huang & Fumin Wang. (2019) Optimising rice mapping in cloud-prone environments by combining quad-source optical with Sentinel-1A microwave satellite imagery. GIScience & Remote Sensing 56:8, pages 1333-1354.
Read now

Articles from other publishers (30)

Pureti Siva Nagendram, Penke Satyanarayana & Panduranga Ravi Teja. (2023) Mapping Paddy Cropland in Guntur District using Machine Learning and Google Earth Engine utilizing Images from Sentinel-1 and Sentinel-2. Engineering, Technology & Applied Science Research 13:6, pages 12427-12432.
Crossref
Chiranjit Singha & Kishore Chandra Swain. (2023) Rice crop growth monitoring with sentinel 1 SAR data using machine learning models in google earth engine cloud. Remote Sensing Applications: Society and Environment 32, pages 101029.
Crossref
Sonam Sah, Dipanwita Haldar, Subhash Chandra & Ajeet Singh Nain. (2023) Discrimination and monitoring of rice cultural types using dense time series of Sentinel-1 SAR data. Ecological Informatics 76, pages 102136.
Crossref
Pritam Meshram & Kishan Singh Rawat. (2023) Detection of Paddy Fields in Maharashtra’s Eastern Region During the Kharif Season Using Sentinel-1A SAR Data and Geographic Information System (GIS). Detection of Paddy Fields in Maharashtra’s Eastern Region During the Kharif Season Using Sentinel-1A SAR Data and Geographic Information System (GIS).
Sabita Roy, Sugata Hazra & Abhra Chanda. (2022) Assessment of wet season agricultural droughts using monthly MODIS and SAR data in the red and lateritic zone of West Bengal, India. Spatial Information Research 31:2, pages 195-210.
Crossref
Amit Kushwaha, Rucha Dave, Gaurav Kumar, Koushik Saha & Armugha Khan. (2022) Assessment of rice crop biophysical parameters using Sentinel-1 C-band SAR data. Advances in Space Research 70:12, pages 3833-3844.
Crossref
Yanyan Shen, Jingcheng Zhang, Lingbo Yang, Xiaoxuan Zhou, Huizi Li & Xingjian Zhou. (2022) A Novel Operational Rice Mapping Method Based on Multi-Source Satellite Images and Object-Oriented Classification. Agronomy 12:12, pages 3010.
Crossref
Yanli Han. (2022) Emotion Analysis of Literary Works Based on Attentional Mechanisms and the Fusion of Two-Channel Features. Scientific Programming 2022, pages 1-9.
Crossref
Lena Chang, Yi-Ting Chen, Jung-Hua Wang & Yang-Lang Chang. (2022) Rice Field Mapping using Sentinel-1A Time Series Data and Deep Learning Model. Rice Field Mapping using Sentinel-1A Time Series Data and Deep Learning Model.
Fatchurrachman, Rudiyanto, Norhidayah Che Soh, Ramisah Mohd Shah, Sunny Goh Eng Giap, Budi Indra Setiawan & Budiman Minasny. (2022) High-Resolution Mapping of Paddy Rice Extent and Growth Stages across Peninsular Malaysia Using a Fusion of Sentinel-1 and 2 Time Series Data in Google Earth Engine. Remote Sensing 14:8, pages 1875.
Crossref
Fadhlullah Ramadhani & Misnawati. (2021) Mapping the vegetative stage of rice cultivation using deep learning. Mapping the vegetative stage of rice cultivation using deep learning.
Chunling Sun, Hong Zhang, Lu Xu, Chao Wang & Liutong Li. (2021) Rice Mapping Using a BiLSTM-Attention Model from Multitemporal Sentinel-1 Data. Agriculture 11:10, pages 977.
Crossref
Wenjie Li, Jingfeng Huang, Lingbo Yang, Yan Chen, Yahua Fang, Hongwei Jin, Han Sun & Ran Huang. (2021) A Practical Remote Sensing Monitoring Framework for Late Frost Damage in Wine Grapes Using Multi-Source Satellite Data. Remote Sensing 13:16, pages 3231.
Crossref
Phuong-Thao Thi Ngo, Tien Dat Pham, Viet-Ha Nhu, Thu Trang Le, Dang An Tran, Duong Cao Phan, Pham Viet Hoa, José Lázaro Amaro-Mellado & Dieu Tien Bui. (2021) A novel hybrid quantum-PSO and credal decision tree ensemble for tropical cyclone induced flash flood susceptibility mapping with geospatial data. Journal of Hydrology 596, pages 125682.
Crossref
Lamin R. Mansaray, Victor T.S. Kabba, Lijie Zhang & Hindolo A. Bebeley. (2021) Optimal multi-temporal Sentinel-1A SAR imagery for paddy rice field discrimination; a recommendation for operational mapping initiatives. Remote Sensing Applications: Society and Environment 22, pages 100533.
Crossref
F Ramadhani, Misnawati & H Syahbuddin. (2021) An early investigation of spatial correlation between Sentinel-2 based rice growth stages maps with satellite-based precipitation data to support digital agriculture development in Indonesia. IOP Conference Series: Earth and Environmental Science 648:1, pages 012002.
Crossref
P Srikanth, Abhishek Chakraborty & C S Murthy. 2021. Geospatial Technologies for Crops and Soils. Geospatial Technologies for Crops and Soils 201 228 .
Lena Chang, Yi-Ting Chen, Jung-Hua Wang & Yang-Lang Chang. (2020) Rice-Field Mapping with Sentinel-1A SAR Time-Series Data. Remote Sensing 13:1, pages 103.
Crossref
Fadhlullah Ramadhani, Reddy Pullanagari, Gabor Kereszturi & Jonathan Procter. (2020) Automatic Mapping of Rice Growth Stages Using the Integration of SENTINEL-2, MOD13Q1, and SENTINEL-1. Remote Sensing 12:21, pages 3613.
Crossref
Hyun-Woo Jo, Sujong Lee, Eunbeen Park, Chul-Hee Lim, Cholho Song, Halim Lee, Youngjin Ko, Sungeun Cha, Hoonjoo Yoon & Woo-Kyun Lee. (2020) Deep Learning Applications on Multitemporal SAR (Sentinel-1) Image Classification Using Confined Labeled Data: The Case of Detecting Rice Paddy in South Korea. IEEE Transactions on Geoscience and Remote Sensing 58:11, pages 7589-7601.
Crossref
Lena Chang, Yi-Ting Chen, Yang-Lang Chan & Meng-Che Wu. (2020) A Novel Feature for Detection of Rice Field Distribution Using Time Series SAR Data. A Novel Feature for Detection of Rice Field Distribution Using Time Series SAR Data.
Lamin R. Mansaray, Kangyu Zhang & Adam Sheka Kanu. (2020) Dry biomass estimation of paddy rice with Sentinel-1A satellite data using machine learning regression algorithms. Computers and Electronics in Agriculture 176, pages 105674.
Crossref
Ghali Abdullahi Abubakar, Ke Wang, AmirReza Shahtahamssebi, Xingyu Xue, Marye Belete, Adam Juma Abdallah Gudo, Kamal Abdelrahim Mohamed Shuka & Muye Gan. (2020) Mapping Maize Fields by Using Multi-Temporal Sentinel-1A and Sentinel-2A Images in Makarfi, Northern Nigeria, Africa. Sustainability 12:6, pages 2539.
Crossref
Emal Wali, Masahiro Tasumi & Masao Moriyama. (2020) Combination of Linear Regression Lines to Understand the Response of Sentinel-1 Dual Polarization SAR Data with Crop Phenology—Case Study in Miyazaki, Japan. Remote Sensing 12:1, pages 189.
Crossref
Lingbo Yang, Limin Wang, Jingfeng Huang, Lamin R. Mansaray & Ruzemaimaiti Mijiti. (2019) Monitoring policy-driven crop area adjustments in northeast China using Landsat-8 imagery. International Journal of Applied Earth Observation and Geoinformation 82, pages 101892.
Crossref
Avinash Kumar Ranjan & Bikash Ranjan Parida. (2019) Paddy acreage mapping and yield prediction using sentinel-based optical and SAR data in Sahibganj district, Jharkhand (India). Spatial Information Research 27:4, pages 399-410.
Crossref
Rudiyanto, Minasny, Shah, Soh, Arif & Setiawan. (2019) 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. Remote Sensing 11:14, pages 1666.
Crossref
Awais KaramatMuhammad NawazAli Imam MirzaMuhammad Rahat JamilAli AsgharMuhammad AyyazFareeha Akram. (2019) Step-by-Step Processing of Sentinel-1 data for Estimation of Rice Area.. International Journal of Agriculture & Sustainable Development.
Crossref
Peilin Song, Lamin R. Mansaray, Jingfeng Huang & Wenjiang Huang. (2018) Mapping paddy rice agriculture over China using AMSR-E time series data. ISPRS Journal of Photogrammetry and Remote Sensing 144, pages 469-482.
Crossref
Kristofer Lasko, Krishna Prasad Vadrevu, Vinh Tuan Tran & Christopher Justice. (2018) Mapping Double and Single Crop Paddy Rice With Sentinel-1A at Varying Spatial Scales and Polarizations in Hanoi, Vietnam. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 11:2, pages 498-512.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.