179 related articles for article (PubMed ID: 29888751)
1. Combined use of Landsat-8 and Sentinel-2A images for winter crop mapping and winter wheat yield assessment at regional scale.
Skakun S; Vermote E; Roger JC; Franch B
AIMS Geosci; 2017; 3(2):163-186. PubMed ID: 29888751
[TBL] [Abstract][Full Text] [Related]
2. Joint Assimilation of Leaf Area Index and Soil Moisture from Sentinel-1 and Sentinel-2 Data into the WOFOST Model for Winter Wheat Yield Estimation.
Pan H; Chen Z; Allard W; Ren J
Sensors (Basel); 2019 Jul; 19(14):. PubMed ID: 31323829
[TBL] [Abstract][Full Text] [Related]
3. Assessment of FSDAF Accuracy on Cotton Yield Estimation Using Different MODIS Products and Landsat Based on the Mixed Degree Index with Different Surroundings.
Meng L; Liu H; Ustin SL; Zhang X
Sensors (Basel); 2021 Jul; 21(15):. PubMed ID: 34372418
[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. Using spatio-temporal fusion of Landsat-8 and MODIS data to derive phenology, biomass and yield estimates for corn and soybean.
Liao C; Wang J; Dong T; Shang J; Liu J; Song Y
Sci Total Environ; 2019 Feb; 650(Pt 2):1707-1721. PubMed ID: 30273730
[TBL] [Abstract][Full Text] [Related]
6. Crop Water Content of Winter Wheat Revealed with Sentinel-1 and Sentinel-2 Imagery.
Han D; Liu S; Du Y; Xie X; Fan L; Lei L; Li Z; Yang H; Yang G
Sensors (Basel); 2019 Sep; 19(18):. PubMed ID: 31533327
[TBL] [Abstract][Full Text] [Related]
7. Estimation of Winter Wheat Yield in Arid and Semiarid Regions Based on Assimilated Multi-Source Sentinel Data and the CERES-Wheat Model.
Liu Z; Xu Z; Bi R; Wang C; He P; Jing Y; Yang W
Sensors (Basel); 2021 Feb; 21(4):. PubMed ID: 33578703
[TBL] [Abstract][Full Text] [Related]
8. [LAI-based regional winter wheat yield estimation by remote sensing].
Ren JQ; Chen ZX; Zhou QB; Tang HJ
Ying Yong Sheng Tai Xue Bao; 2010 Nov; 21(11):2883-8. PubMed ID: 21361014
[TBL] [Abstract][Full Text] [Related]
9. Using of Multi-Source and Multi-Temporal Remote Sensing Data Improves Crop-Type Mapping in the Subtropical Agriculture Region.
Sun C; Bian Y; Zhou T; Pan J
Sensors (Basel); 2019 May; 19(10):. PubMed ID: 31130689
[TBL] [Abstract][Full Text] [Related]
10. Integrating Early Growth Information to Monitor Winter Wheat Powdery Mildew Using Multi-Temporal Landsat-8 Imagery.
Ma H; Jing Y; Huang W; Shi Y; Dong Y; Zhang J; Liu L
Sensors (Basel); 2018 Sep; 18(10):. PubMed ID: 30274362
[TBL] [Abstract][Full Text] [Related]
11. [Winter wheat area estimation with MODIS-NDVI time series based on parcel].
Li L; Zhang JS; Zhu WQ; Hu TG; Hou D
Guang Pu Xue Yu Guang Pu Fen Xi; 2011 May; 31(5):1379-83. PubMed ID: 21800605
[TBL] [Abstract][Full Text] [Related]
12. [Division of winter wheat yield estimation by remote sensing based on MODIS EVI time series data and spectral angle clustering].
Zhu ZC; Chen LQ; Zhang JS; Pan YZ; Zhu WQ; Hu TG
Guang Pu Xue Yu Guang Pu Fen Xi; 2012 Jul; 32(7):1899-904. PubMed ID: 23016349
[TBL] [Abstract][Full Text] [Related]
13. [Regional scale remote sensing-based yield estimation of winter wheat by using MODIS-NDVI data: a case study of Jining City in Shandong Province].
Ren J; Chen Z; Tang H
Ying Yong Sheng Tai Xue Bao; 2006 Dec; 17(12):2371-5. PubMed ID: 17330482
[TBL] [Abstract][Full Text] [Related]
14. [Comparison of GIMMS and MODIS normalized vegetation index composite data for Qing-Hai-Tibet Plateau].
Du JQ; Shu JM; Wang YH; Li YC; Zhang LB; Guo Y
Ying Yong Sheng Tai Xue Bao; 2014 Feb; 25(2):533-44. PubMed ID: 24830255
[TBL] [Abstract][Full Text] [Related]
15. Land use and land cover mapping in wetlands one step closer to the ground: Sentinel-2 versus landsat 8.
Sánchez-Espinosa A; Schröder C
J Environ Manage; 2019 Oct; 247():484-498. PubMed ID: 31254763
[TBL] [Abstract][Full Text] [Related]
16. Comparing land surface phenology of major European crops as derived from SAR and multispectral data of Sentinel-1 and -2.
Meroni M; d'Andrimont R; Vrieling A; Fasbender D; Lemoine G; Rembold F; Seguini L; Verhegghen A
Remote Sens Environ; 2021 Feb; 253():112232. PubMed ID: 33536689
[TBL] [Abstract][Full Text] [Related]
17. A Calibration/Disaggregation Coupling Scheme for Retrieving Soil Moisture at High Spatio-Temporal Resolution: Synergy between SMAP Passive Microwave, MODIS/Landsat Optical/Thermal and Sentinel-1 Radar Data.
Ojha N; Merlin O; Amazirh A; Ouaadi N; Rivalland V; Jarlan L; Er-Raki S; Escorihuela MJ
Sensors (Basel); 2021 Nov; 21(21):. PubMed ID: 34770712
[TBL] [Abstract][Full Text] [Related]
18. Forecasting wheat and barley crop production in arid and semi-arid regions using remotely sensed primary productivity and crop phenology: A case study in Iraq.
Qader SH; Dash J; Atkinson PM
Sci Total Environ; 2018 Feb; 613-614():250-262. PubMed ID: 28915461
[TBL] [Abstract][Full Text] [Related]
19. Monitoring land surface albedo and vegetation dynamics using high spatial and temporal resolution synthetic time series from Landsat and the MODIS BRDF/NBAR/albedo product.
Wang Z; Schaaf CB; Sun Q; Kim J; Erb AM; Gao F; Román MO; Yang Y; Petroy S; Taylor JR; Masek JG; Morisette JT; Zhang X; Papuga SA
Int J Appl Earth Obs Geoinf; 2017 Jul; 59():104-117. PubMed ID: 33154713
[TBL] [Abstract][Full Text] [Related]
20. New Spectral Index for Detecting Wheat Yellow Rust Using Sentinel-2 Multispectral Imagery.
Zheng Q; Huang W; Cui X; Shi Y; Liu L
Sensors (Basel); 2018 Mar; 18(3):. PubMed ID: 29543736
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
