202 related articles for article (PubMed ID: 33693385)
1. Agricultural Drought Monitoring via the Assimilation of SMAP Soil Moisture Retrievals Into a Global Soil Water Balance Model.
Mladenova IE; Bolten JD; Crow W; Sazib N; Reynolds C
Front Big Data; 2020; 3():10. PubMed ID: 33693385
[TBL] [Abstract][Full Text] [Related]
2. Leveraging Google Earth Engine for Drought Assessment using Global Soil Moisture Data.
Sazib N; Mladenova I; Bolten J
Remote Sens (Basel); 2018; 10(8):. PubMed ID: 32021700
[TBL] [Abstract][Full Text] [Related]
3. Standardized Soil Moisture Index for Drought Monitoring Based on SMAP Observations and 36 Years of NLDAS Data: A Case Study in the Southeast United States.
Xu Y; Wang L; Ross KW; Liu C; Berry K
Remote Sens (Basel); 2018 Feb; 10(2):. PubMed ID: 33868720
[TBL] [Abstract][Full Text] [Related]
4. Data Assimilation to extract Soil Moisture Information from SMAP Observations.
Kolassa J; Reichle RH; Liu Q; Cosh M; Bosch DD; Caldwell TG; Colliander A; Collins CH; Jackson TJ; Livingston SJ; Moghaddam M; Starks PJ
Remote Sens (Basel); 2017 Nov; 9(11):1179. PubMed ID: 32655902
[TBL] [Abstract][Full Text] [Related]
5. Estimating surface soil moisture from SMAP observations using a Neural Network technique.
Kolassa J; Reichle RH; Liu Q; Alemohammad SH; Gentine P; Aida K; Asanuma J; Bircher S; Caldwell T; Colliander A; Cosh M; Collins CH; Jackson TJ; Martínez-Fernández J; McNairn H; Pacheco A; Thibeault M; Walker JP
Remote Sens Environ; 2018 Jan; 204():43-59. PubMed ID: 29290638
[TBL] [Abstract][Full Text] [Related]
6. Evaluating ESA CCI soil moisture in East Africa.
McNally A; Shukla S; Arsenault KR; Wang S; Peters-Lidard CD; Verdin JP
Int J Appl Earth Obs Geoinf; 2016 Jun; 48():96-109. PubMed ID: 29599664
[TBL] [Abstract][Full Text] [Related]
7. Evaluating soil moisture retrievals from ESA's SMOS and NASA's SMAP brightness temperature datasets.
Al-Yaari A; Wigneron JP; Kerr Y; Rodriguez-Fernandez N; O'Neill PE; Jackson TJ; De Lannoy GJM; Al Bitar A; Mialon A; Richaume P; Walker JP; Mahmoodi A; Yueh S
Remote Sens Environ; 2017 May; 193():257-273. PubMed ID: 29743730
[TBL] [Abstract][Full Text] [Related]
8. Assimilation of Sentinel 1 and SMAP - based satellite soil moisture retrievals into SWAT hydrological model: the impact of satellite revisit time and product spatial resolution on flood simulations in small basins.
Azimi S; Dariane AB; Modanesi S; Bauer-Marschallinger B; Bindlish R; Wagner W; Massari C
J Hydrol (Amst); 2020 Feb; 581():. PubMed ID: 33154604
[TBL] [Abstract][Full Text] [Related]
9. Global Assessment of the SMAP Level-4 Surface and Root-Zone Soil Moisture Product Using Assimilation Diagnostics.
Reichle RH; De Lannoy GJM; Liu Q; Koster RD; Kimball JS; Crow WT; Ardizzone JV; Chakraborty P; Collins DW; Conaty AL; Girotto M; Jones LA; Kolassa J; Lievens H; Lucchesi RA; Smith EB
J Hydrometeorol; 2017 Dec; 18(12):3217-3237. PubMed ID: 30364509
[TBL] [Abstract][Full Text] [Related]
10. Investigating Correlations and the Validation of SMAP-Sentinel L2 and In Situ Soil Moisture in Thailand.
Jotisankasa A; Torsri K; Supavetch S; Sirirodwattanakool K; Thonglert N; Sawangwattanaphaibun R; Faikrua A; Peangta P; Akaranee J
Sensors (Basel); 2023 Oct; 23(21):. PubMed ID: 37960525
[TBL] [Abstract][Full Text] [Related]
11. Joint Sentinel-1 and SMAP data assimilation to improve soil moisture estimates.
Lievens H; Reichle RH; Liu Q; De Lannoy GJM; Dunbar RS; Kim SB; Das NN; Cosh M; Walker JP; Wagner W
Geophys Res Lett; 2017 Jun; 44(12):6145-6153. PubMed ID: 29657343
[TBL] [Abstract][Full Text] [Related]
12. Agricultural drought assessment in dry zones of Tolima, Colombia, using an approach based on water balance and vegetation water stress.
Hernández-López JA; Andrade HJ; Barrios M
Sci Total Environ; 2024 Apr; 921():171144. PubMed ID: 38401721
[TBL] [Abstract][Full Text] [Related]
13. SMAP-HydroBlocks, a 30-m satellite-based soil moisture dataset for the conterminous US.
Vergopolan N; Chaney NW; Pan M; Sheffield J; Beck HE; Ferguson CR; Torres-Rojas L; Sadri S; Wood EF
Sci Data; 2021 Oct; 8(1):264. PubMed ID: 34635675
[TBL] [Abstract][Full Text] [Related]
14. Information theoretic evaluation of satellite soil moisture retrievals.
Kumar SV; Dirmeyer PA; Peters-Lidard CD; Bindlish R; Bolten J
Remote Sens Environ; 2018 Jan; 204():392-400. PubMed ID: 32636571
[TBL] [Abstract][Full Text] [Related]
15. Precipitation Estimation Using L-Band and C-Band Soil Moisture Retrievals.
Koster RD; Brocca L; Crow WT; Burgin MS; De Lannoy GJM
Water Resour Res; 2016 Sep; 52(9):7213-7225. PubMed ID: 29983456
[TBL] [Abstract][Full Text] [Related]
16. Integration of Sentinel-1A Radar and SMAP Radiometer for Soil Moisture Retrieval over Vegetated Areas.
Arab S; Easson G; Ghaffari Z
Sensors (Basel); 2024 Mar; 24(7):. PubMed ID: 38610428
[TBL] [Abstract][Full Text] [Related]
17. How does precipitation data influence the land surface data assimilation for drought monitoring?
Gavahi K; Abbaszadeh P; Moradkhani H
Sci Total Environ; 2022 Jul; 831():154916. PubMed ID: 35364176
[TBL] [Abstract][Full Text] [Related]
18. A Comparative Study of the SMAP Passive Soil Moisture Product With Existing Satellite-Based Soil Moisture Products.
Burgin MS; Colliander A; Njoku EG; Chan SK; Cabot F; Kerr YH; Bindlish R; Jackson TJ; Entekhabi D; Yueh SH
IEEE Trans Geosci Remote Sens; 2017 May; 55(5):2959-2971. PubMed ID: 32753775
[TBL] [Abstract][Full Text] [Related]
19. Assessment of Soil Moisture Anomaly Sensitivity to Detect Drought Spatio-Temporal Variability in Romania.
Ontel I; Irimescu A; Boldeanu G; Mihailescu D; Angearu CV; Nertan A; Craciunescu V; Negreanu S
Sensors (Basel); 2021 Dec; 21(24):. PubMed ID: 34960471
[TBL] [Abstract][Full Text] [Related]
20. A data-driven approach using the remotely sensed soil moisture product to identify water-demand in agricultural regions.
Singh G; Das NN
Sci Total Environ; 2022 Sep; 837():155893. PubMed ID: 35568166
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
