Citations (39)
Keep up to date with the latest research on this topic with citation updates for this article.
Read on this site (5)
Daniel Marc G. dela Torre, Jay Gao, Cate Macinnis-Ng & Yan Shi. (2021) Phenology-based delineation of irrigated and rain-fed paddy fields with Sentinel-2 imagery in Google Earth Engine. Geo-spatial Information Science 24:4, pages 695-710.
Read now
Read now
Katsuo Okamoto & Hiroyuki Kawashima. (2016) Estimating total area of paddy fields in Heilongjiang, China, around 2000 using Landsat Thematic Mapper/Enhanced Thematic Mapper Plus data. Remote Sensing Letters 7:6, pages 533-540.
Read now
Read now
Claudia Kuenzer & Kim Knauer. (2013) Remote sensing of rice crop areas. International Journal of Remote Sensing 34:6, pages 2101-2139.
Read now
Read now
M. A. Diuk-Wasser$suffix/text()$suffix/text(), M. Bagayoko, N. Sogoba, G. Dolo, M. B. TourÉ, S. F. TraorÉ & C. E. Taylor. (2004) Mapping rice field anopheline breeding habitats in Mali, West Africa, using Landsat ETM+ sensor data
. International Journal of Remote Sensing 25:2, pages 359-376.
Read now
Read now
X. Xiao, S. Boles, S. Frolking, W. Salas, B. Moore$suffix/text()$suffix/text(), C. Li, L. He & R. Zhao. (2002) Observation of flooding and rice transplanting of paddy rice fields at the site to landscape scales in China using VEGETATION sensor data. International Journal of Remote Sensing 23:15, pages 3009-3022.
Read now
Read now
Articles from other publishers (34)
K.R. Thorp & D. Drajat. (2021) Deep machine learning with Sentinel satellite data to map paddy rice production stages across West Java, Indonesia. Remote Sensing of Environment 265, pages 112679.
Crossref
Crossref
Bolun LI, Chaopu TI & Xiaoyuan YAN. (2020) Estimating rice paddy areas in China using multi-temporal cloud-free normalized difference vegetation index (NDVI) imagery based on change detection. Pedosphere 30:6, pages 734-746.
Crossref
Crossref
Flavio Furukawa, Junko Morimoto, Nobuhiko Yoshimura & Masami Kaneko. (2020) Comparison of Conventional Change Detection Methodologies Using High-Resolution Imagery to Find Forest Damage Caused by Typhoons. Remote Sensing 12:19, pages 3242.
Crossref
Crossref
Hiep Xuan Huynh, Ky Minh Nguyen, Khoa Duc Nguyen, Huong Hoang Luong, Nghi C. Tran, Linh Thuy Thi Nguyen, Tan Minh Tran, Phuong Truc Thi Pham & Simona Niculescu. (2020) Discovered changes in rice occupation with satellite images based on random forest approach. Discovered changes in rice occupation with satellite images based on random forest approach.
Subhro Banerjee & A. C. Pandey. (2019) Crop insurance model to consolidate academia-industry cooperation: a case study over Assam, India. Spatial Information Research 27:6, pages 719-731.
Crossref
Crossref
Nguyễn Bích Ngọc, Nguyễn Hữu Ngữ, Trần Thanh Đức & Lê Ngọc Phương Quý. (2019) Sử dụng ảnh viễn thám giám sát lũ và đánh giá thiệt hại đến đất nông nghiệp tại huyện Quảng Điền, tỉnh Thừa Thiên Huế. Can Tho University Journal of Science 55(Environment), pages 154.
Crossref
Crossref
Naoki ISHITSUKA. (2018) Identification of Paddy Rice Areas Using SAR: Some Case Studies in Japan. Japan Agricultural Research Quarterly: JARQ 52:3, pages 197-204.
Crossref
Crossref
Toshihiro Sakamoto, David S. Sprague, Katsuo Okamoto & Naoki Ishitsuka. (2018) Semi-automatic classification method for mapping the rice-planted areas of Japan using multi-temporal Landsat images. Remote Sensing Applications: Society and Environment 10, pages 7-17.
Crossref
Crossref
Kim Huong Hoang, Monique Bernier, Sophie Duchesne & Minh Y Tran. (2018) Renforcement de la qualité d’information de l’occupation du sol par l’intégration de données satellitaires optiques et radar en support à la modélisation hydrologique. Revue des sciences de l’eau 31:3, pages 177-199.
Crossref
Crossref
Atsushi KIMURA, Ayumu KONDO & Kan-ichiro MOCHIZUKI. (2018) X-BAND SAR DATA PARAMETERS FOR SURVEYING THE PLANTING CONDITIONS OF PADDY FIELDS水田の作付状況調査に適したXバンドSARデータの観測条件に関する研究. Journal of the Japan society of photogrammetry and remote sensing 57:1, pages 13-21.
Crossref
Crossref
K Saranya & K B Muralidharan. (2017) Real time surveillance of paddy field using Landsat images. Real time surveillance of paddy field using Landsat images.
Huong Kim Hoang, Monique Bernier, Sophie Duchesne & Y Minh Tran. (2016) Rice Mapping Using RADARSAT-2 Dual- and Quad-Pol Data in a Complex Land-Use Watershed: Cau River Basin (Vietnam). IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 9:7, pages 3082-3096.
Crossref
Crossref
Cui Jin, Xiangming Xiao, Jinwei Dong, Yuanwei Qin & Zongming Wang. (2015) Mapping paddy rice distribution using multi-temporal Landsat imagery in the Sanjiang Plain, northeast China. Frontiers of Earth Science 10:1, pages 49-62.
Crossref
Crossref
Caitlin Kontgis, Annemarie Schneider & Mutlu Ozdogan. (2015) Mapping rice paddy extent and intensification in the Vietnamese Mekong River Delta with dense time stacks of Landsat data. Remote Sensing of Environment 169, pages 255-269.
Crossref
Crossref
Jingjing Shi & Jingfeng Huang. (2015) Monitoring Spatio-Temporal Distribution of Rice Planting Area in the Yangtze River Delta Region Using MODIS Images. Remote Sensing 7:7, pages 8883-8905.
Crossref
Crossref
Masaji Kato, Manabu Takahashi, Satoru Kawasaki & Katsuhiko Kaneko. (2015) Segmentation of multi-phase X-ray computed tomography images. Environmental Geotechnics 2:2, pages 104-117.
Crossref
Crossref
Mostafa Mosleh, Quazi Hassan & Ehsan Chowdhury. (2015) Application of Remote Sensors in Mapping Rice Area and Forecasting Its Production: A Review. Sensors 15:1, pages 769-791.
Crossref
Crossref
Atsushi KIMURA & Hideki SHIMAMURA. (2015) Classification of Planting Condition of Paddy Fields Utilizing two Time-Series Acquistions of High-Resolution SAR Images. Journal of the Japan society of photogrammetry and remote sensing 54:3, pages 118-132.
Crossref
Crossref
Sonia Asilo, Kees de Bie, Andrew Skidmore, Andrew Nelson, Massimo Barbieri & Aileen Maunahan. (2014) Complementarity of Two Rice Mapping Approaches: Characterizing Strata Mapped by Hypertemporal MODIS and Rice Paddy Identification Using Multitemporal SAR. Remote Sensing 6:12, pages 12789-12814.
Crossref
Crossref
Saptarshi Mondal, C. Jeganathan, Nitish Kumar Sinha, Harshit Rajan, Tanmoy Roy & Praveen Kumar. (2014) Extracting seasonal cropping patterns using multi-temporal vegetation indices from IRS LISS-III data in Muzaffarpur District of Bihar, India. The Egyptian Journal of Remote Sensing and Space Science 17:2, pages 123-134.
Crossref
Crossref
Zhangyu Dong, Zongming Wang, Dianwei Liu, Kaishan Song, Lin Li, Mingming Jia & Zhi Ding. (2014) Mapping Wetland Areas Using Landsat-Derived NDVI and LSWI: A Case Study of West Songnen Plain, Northeast China. Journal of the Indian Society of Remote Sensing 42:3, pages 569-576.
Crossref
Crossref
Jing-jing Shi, Jing-feng Huang & Feng Zhang. (2013) Multi-year monitoring of paddy rice planting area in Northeast China using MODIS time series data. Journal of Zhejiang University SCIENCE B 14:10, pages 934-946.
Crossref
Crossref
Masaji Kato, Manabu TakahashiSatoru Kawasaki, Toshifumi Mukunoki & Katsuhiko Kaneko. (2013) Evaluation of Porosity and Its Variation in Porous Materials Using Microfocus X-ray Computed Tomography Considering the Partial Volume Effect. MATERIALS TRANSACTIONS 54:9, pages 1678-1685.
Crossref
Crossref
Yi-Ping Wang, Kuo-Wei Chang, Rong-Kuen Chen, Jeng-Chung Lo & Yuan Shen. (2010) Large-area rice yield forecasting using satellite imageries. International Journal of Applied Earth Observation and Geoinformation 12:1, pages 27-35.
Crossref
Crossref
Aung Than Oo, Sanga-Ngoie Kazadi & Kaoru Fukuyama. (2007) Land Cover Mapping for Agricultural Water Management of Rice-based Irrigation Systems in Myanmar Using GIS and Remote Sensing. Journal of Rainwater Catchment Systems 12:2, pages 1-15.
Crossref
Crossref
Natsuki Yoshikawa & Sho Shiozawa. (2006) Estimating variable acreage of cultivated paddy fields from preceding precipitation in a tropical watershed utilizing Landsat TM/ETM. Agricultural Water Management 85:3, pages 296-304.
Crossref
Crossref
Mutlu Ozdogan & Curtis E. Woodcock. (2006) Resolution dependent errors in remote sensing of cultivated areas. Remote Sensing of Environment 103:2, pages 203-217.
Crossref
Crossref
Xiangming Xiao, Stephen Boles, Steve Frolking, Changsheng Li, Jagadeesh Y. Babu, William Salas & Berrien MooreIIIIII. (2006) Mapping paddy rice agriculture in South and Southeast Asia using multi-temporal MODIS images. Remote Sensing of Environment 100:1, pages 95-113.
Crossref
Crossref
Xiangming Xiao, Stephen Boles, Jiyuan Liu, Dafang Zhuang, Steve Frolking, Changsheng Li, William Salas & Berrien MooreIIIIII. (2005) Mapping paddy rice agriculture in southern China using multi-temporal MODIS images. Remote Sensing of Environment 95:4, pages 480-492.
Crossref
Crossref
W. Takeuchi & Y. Yasuoka. (2003) Paddy field mapping in South-East Asia with NOAA AVHRR based on time-series of spectral mixture analysis. Paddy field mapping in South-East Asia with NOAA AVHRR based on time-series of spectral mixture analysis.
G. Saito, S. Ogawa, T. Murakami & N. Ishitsuka. (2000) Application of ALOS data for agriculture monitoring on East Asia. Application of ALOS data for agriculture monitoring on East Asia.
Steve Frolking, Xiangming Xiao, Yahui Zhuang, William Salas & Changsheng Li. (2004) Agricultural land‐use in China: a comparison of area estimates from ground‐based census and satellite‐borne remote sensing. Global Ecology and Biogeography 8:5, pages 407-416.
Crossref
Crossref
Suk-Young Hong, Kyu-Sung Lee, Sang-Kyu Rim & Kil-Ung Kim. (1999) Estimation of rice field area using two-date Landsat TM images in Korea. Estimation of rice field area using two-date Landsat TM images in Korea.
H. Tsuhasa & S.A.P. Ceballos. (1997) Comparison between classified result of paddy field and statistic data of the production. Comparison between classified result of paddy field and statistic data of the production.