186 related articles for article (PubMed ID: 30976017)
1. High resolution paddy rice maps in cloud-prone Bangladesh and Northeast India using Sentinel-1 data.
Singha M; Dong J; Zhang G; Xiao X
Sci Data; 2019 Apr; 6(1):26. PubMed ID: 30976017
[TBL] [Abstract][Full Text] [Related]
2. Spatiotemporal patterns of paddy rice croplands in China and India from 2000 to 2015.
Zhang G; Xiao X; Biradar CM; Dong J; Qin Y; Menarguez MA; Zhou Y; Zhang Y; Jin C; Wang J; Doughty RB; Ding M; Moore B
Sci Total Environ; 2017 Feb; 579():82-92. PubMed ID: 27866742
[TBL] [Abstract][Full Text] [Related]
3. Automated in-season rice crop mapping using Sentinel time-series data and Google Earth Engine: A case study in climate-risk prone Bangladesh.
Tiwari V; Tulbure MG; Caineta J; Gaines MD; Perin V; Kamal M; Krupnik TJ; Aziz MA; Islam AT
J Environ Manage; 2024 Feb; 351():119615. PubMed ID: 38091728
[TBL] [Abstract][Full Text] [Related]
4. Evaluating the efficiency of coarser to finer resolution multispectral satellites in mapping paddy rice fields using GEE implementation.
Waleed M; Mubeen M; Ahmad A; Habib-Ur-Rahman M; Amin A; Farid HU; Hussain S; Ali M; Qaisrani SA; Nasim W; Javeed HMR; Masood N; Aziz T; Mansour F; El Sabagh A
Sci Rep; 2022 Aug; 12(1):13210. PubMed ID: 35915211
[TBL] [Abstract][Full Text] [Related]
5. Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine.
Dong J; Xiao X; Menarguez MA; Zhang G; Qin Y; Thau D; Biradar C; Moore B
Remote Sens Environ; 2016 Nov; 185():142-154. PubMed ID: 28025586
[TBL] [Abstract][Full Text] [Related]
6. Paddy Rice mapping in fragmented lands by improved phenology curve and correlation measurements on Sentinel-2 imagery in Google earth engine.
Namazi F; Ezoji M; Parmehr EG
Environ Monit Assess; 2023 Sep; 195(10):1220. PubMed ID: 37718323
[TBL] [Abstract][Full Text] [Related]
7. Spatiotemporal mapping of rice acreage and productivity growth in Bangladesh.
Al Mamun MA; Nihad SAI; Sarker MR; Sarkar MAR; Hossain MI; Kabir MS
PLoS One; 2024; 19(3):e0300648. PubMed ID: 38489334
[TBL] [Abstract][Full Text] [Related]
8. Large increases of paddy rice area, gross primary production, and grain production in Northeast China during 2000-2017.
Xin F; Xiao X; Dong J; Zhang G; Zhang Y; Wu X; Li X; Zou Z; Ma J; Du G; Doughty RB; Zhao B; Li B
Sci Total Environ; 2020 Apr; 711():135183. PubMed ID: 32000350
[TBL] [Abstract][Full Text] [Related]
9. Mapping paddy rice planting area in cold temperate climate region through analysis of time series Landsat 8 (OLI), Landsat 7 (ETM+) and MODIS imagery.
Qin Y; Xiao X; Dong J; Zhou Y; Zhu Z; Zhang G; Du G; Jin C; Kou W; Wang J; Li X
ISPRS J Photogramm Remote Sens; 2015 Jul; 105():220-233. PubMed ID: 27695195
[TBL] [Abstract][Full Text] [Related]
10. Growth and trend analysis of area, production and yield of rice: A scenario of rice security in Bangladesh.
Al Mamun MA; Nihad SAI; Sarkar MAR; Aziz MA; Qayum MA; Ahmed R; Rahman NMF; Hossain MI; Kabir MS
PLoS One; 2021; 16(12):e0261128. PubMed ID: 34890444
[TBL] [Abstract][Full Text] [Related]
11. Mapping paddy rice planting area in wheat-rice double-cropped areas through integration of Landsat-8 OLI, MODIS, and PALSAR images.
Wang J; Xiao X; Qin Y; Dong J; Zhang G; Kou W; Jin C; Zhou Y; Zhang Y
Sci Rep; 2015 May; 5():10088. PubMed ID: 25965027
[TBL] [Abstract][Full Text] [Related]
12. Multi-year monitoring of paddy rice planting area in Northeast China using MODIS time series data.
Shi JJ; Huang JF; Zhang F
J Zhejiang Univ Sci B; 2013 Oct; 14(10):934-46. PubMed ID: 24101210
[TBL] [Abstract][Full Text] [Related]
13. Mapping Early, Middle and Late Rice Extent Using Sentinel-1A and Landsat-8 Data in the Poyang Lake Plain, China.
Tian H; Wu M; Wang L; Niu Z
Sensors (Basel); 2018 Jan; 18(1):. PubMed ID: 29324647
[TBL] [Abstract][Full Text] [Related]
14. Validating the Association of Japanese Encephalitis Vector Abundance with Paddy Growth, Using MODIS Data.
Raju HK; Sabesan S; Subramanian S; Jambulingam P
Vector Borne Zoonotic Dis; 2018 Oct; 18(10):560-562. PubMed ID: 30016208
[TBL] [Abstract][Full Text] [Related]
15. Automatic and adaptive paddy rice mapping using Landsat images: Case study in Songnen Plain in Northeast China.
Qiu B; Lu D; Tang Z; Chen C; Zou F
Sci Total Environ; 2017 Nov; 598():581-592. PubMed ID: 28454031
[TBL] [Abstract][Full Text] [Related]
16. Arsenic contamination of Bangladesh paddy field soils: implications for rice contribution to arsenic consumption.
Meharg AA; Rahman MM
Environ Sci Technol; 2003 Jan; 37(2):229-34. PubMed ID: 12564892
[TBL] [Abstract][Full Text] [Related]
17. Mapping paddy rice planting areas through time series analysis of MODIS land surface temperature and vegetation index data.
Zhang G; Xiao X; Dong J; Kou W; Jin C; Qin Y; Zhou Y; Wang J; Menarguez MA; Biradar C
ISPRS J Photogramm Remote Sens; 2015 Aug; 106():157-171. PubMed ID: 27667901
[TBL] [Abstract][Full Text] [Related]
18. Spatial distribution and temporal variability of arsenic in irrigated rice fields in Bangladesh. 2. Paddy soil.
Dittmar J; Voegelin A; Roberts LC; Hug SJ; Saha GC; Ali MA; Badruzzaman AB; Kretzschmar R
Environ Sci Technol; 2007 Sep; 41(17):5967-72. PubMed ID: 17937268
[TBL] [Abstract][Full Text] [Related]
19. Effects of optical and radar satellite observations within Google Earth Engine on soil organic carbon prediction models in Spain.
Zhou T; Geng Y; Lv W; Xiao S; Zhang P; Xu X; Chen J; Wu Z; Pan J; Si B; Lausch A
J Environ Manage; 2023 Jul; 338():117810. PubMed ID: 37003220
[TBL] [Abstract][Full Text] [Related]
20. Mapping paddy rice distribution using multi-temporal Landsat imagery in the Sanjiang Plain, northeast China.
Jin C; Xiao X; Dong J; Qin Y; Wang Z
Front Earth Sci; 2016 Mar; 10(1):49-62. PubMed ID: 27695637
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]