230 related articles for article (PubMed ID: 32121264)
1. Evaluation of Remotely Sensed and Interpolated Environmental Datasets for Vector-Borne Disease Monitoring Using In Situ Observations Over the Amhara Region, Ethiopia.
Alemu WG; Wimberly MC
Sensors (Basel); 2020 Feb; 20(5):. PubMed ID: 32121264
[TBL] [Abstract][Full Text] [Related]
2. Evaluation of eight high spatial resolution gridded precipitation products in Adige Basin (Italy) at multiple temporal and spatial scales.
Duan Z; Liu J; Tuo Y; Chiogna G; Disse M
Sci Total Environ; 2016 Dec; 573():1536-1553. PubMed ID: 27616713
[TBL] [Abstract][Full Text] [Related]
3. Global Satellite Retrievals of the Near-Surface Atmospheric Vapor Pressure Deficit from AMSR-E and AMSR2.
Du J; Kimball JS; Reichle RH; Jones LA; Watts JD; Kim Y
Remote Sens (Basel); 2018; 10(8):. PubMed ID: 30505569
[TBL] [Abstract][Full Text] [Related]
4. Evaluation of satellite rainfall products for modeling water yield over the source region of Blue Nile Basin.
Belete M; Deng J; Wang K; Zhou M; Zhu E; Shifaw E; Bayissa Y
Sci Total Environ; 2020 Mar; 708():134834. PubMed ID: 31784158
[TBL] [Abstract][Full Text] [Related]
5. Comparative evaluation of drought indices for monitoring drought based on remote sensing data.
Wei W; Zhang J; Zhou L; Xie B; Zhou J; Li C
Environ Sci Pollut Res Int; 2021 Apr; 28(16):20408-20425. PubMed ID: 33405156
[TBL] [Abstract][Full Text] [Related]
6. Assessment and statistical modeling of the relationship between remotely sensed aerosol optical depth and PM2.5 in the eastern United States.
Paciorek CJ; Liu Y;
Res Rep Health Eff Inst; 2012 May; (167):5-83; discussion 85-91. PubMed ID: 22838153
[TBL] [Abstract][Full Text] [Related]
7. Assessing the accuracy and reliability of satellite-derived precipitation products in the Kosi River basin (India).
Singh AK; Singh V
Environ Monit Assess; 2024 Jun; 196(7):671. PubMed ID: 38940879
[TBL] [Abstract][Full Text] [Related]
8. The Global Precipitation Measurement (GPM) mission's scientific achievements and societal contributions: reviewing four years of advanced rain and snow observations.
Skofronick-Jackson G; Kirschbaum D; Petersen W; Huffman G; Kidd C; Stocker E; Kakar R
Q J R Meteorol Soc; 2018 Nov; 144(51):27-48. PubMed ID: 31213729
[TBL] [Abstract][Full Text] [Related]
9. A comprehensive comparison of data fusion approaches to multi-source precipitation observations: a case study in Sichuan province, China.
Duan Z; Ren Y; Liu X; Lei H; Hua X; Shu X; Zhou L
Environ Monit Assess; 2022 May; 194(6):422. PubMed ID: 35543768
[TBL] [Abstract][Full Text] [Related]
10. Satellite Microwave Remote Sensing for Environmental Modeling of Mosquito Population Dynamics.
Chuang TW; Henebry GM; Kimball JS; Vanroekel-Patton DL; Hildreth MB; Wimberly MC
Remote Sens Environ; 2012 Oct; 125():147-156. PubMed ID: 23049143
[TBL] [Abstract][Full Text] [Related]
11. Evaluation of different gridded rainfall datasets for rainfed wheat yield prediction in an arid environment.
Lashkari A; Salehnia N; Asadi S; Paymard P; Zare H; Bannayan M
Int J Biometeorol; 2018 Aug; 62(8):1543-1556. PubMed ID: 29740702
[TBL] [Abstract][Full Text] [Related]
12. Improved Monitoring and Assessment of Meteorological Drought Based on Multi-Source Fused Precipitation Data.
Chen S; Li Q; Zhong W; Wang R; Chen D; Pan S
Int J Environ Res Public Health; 2022 Jan; 19(3):. PubMed ID: 35162561
[TBL] [Abstract][Full Text] [Related]
13. Fusion-based framework for meteorological drought modeling using remotely sensed datasets under climate change scenarios: Resilience, vulnerability, and frequency analysis.
Fooladi M; Golmohammadi MH; Safavi HR; Singh VP
J Environ Manage; 2021 Nov; 297():113283. PubMed ID: 34280857
[TBL] [Abstract][Full Text] [Related]
14. A land data assimilation system for sub-Saharan Africa food and water security applications.
McNally A; Arsenault K; Kumar S; Shukla S; Peterson P; Wang S; Funk C; Peters-Lidard CD; Verdin JP
Sci Data; 2017 Feb; 4():170012. PubMed ID: 28195575
[TBL] [Abstract][Full Text] [Related]
15. Bias correction framework for satellite precipitation products using a rain/no rain discriminative model.
Xiao S; Zou L; Xia J; Yang Z; Yao T
Sci Total Environ; 2022 Apr; 818():151679. PubMed ID: 34793793
[TBL] [Abstract][Full Text] [Related]
16. Toward High-Resolution Soil Moisture Monitoring by Combining Active-Passive Microwave and Optical Vegetation Remote Sensing Products with Land Surface Model.
Toride K; Sawada Y; Aida K; Koike T
Sensors (Basel); 2019 Sep; 19(18):. PubMed ID: 31514458
[TBL] [Abstract][Full Text] [Related]
17. Deriving meteorological variables across Africa for the study and control of vector-borne disease: a comparison of remote sensing and spatial interpolation of climate.
Hay SI; Lennon JJ
Trop Med Int Health; 1999 Jan; 4(1):58-71. PubMed ID: 10203175
[TBL] [Abstract][Full Text] [Related]
18. Deep Learning Convolutional Neural Network for the Retrieval of Land Surface Temperature from AMSR2 Data in China.
Tan J; NourEldeen N; Mao K; Shi J; Li Z; Xu T; Yuan Z
Sensors (Basel); 2019 Jul; 19(13):. PubMed ID: 31284617
[TBL] [Abstract][Full Text] [Related]
19. Agreement in extreme precipitation exposure assessment is modified by race and social vulnerability.
Aune KT; Zaitchik BF; Curriero FC; Davis MF; Smith GS
Front Epidemiol; 2023; 3():1128501. PubMed ID: 38455887
[TBL] [Abstract][Full Text] [Related]
20. Improved Remotely Sensed Total Basin Discharge and Its Seasonal Error Characterization in the Yangtze River Basin.
Chen Y; Fok HS; Ma Z; Tenzer R
Sensors (Basel); 2019 Aug; 19(15):. PubMed ID: 31375013
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]