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Choi, Minha, Hur, Yoomi (2012) A microwave-optical/infrared disaggregation for improving spatial representation of soil moisture using AMSR-E and MODIS products. Remote Sensing of Environment, 124. 259-269 doi:10.1016/j.rse.2012.05.009

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Reference TypeJournal (article/letter/editorial)
TitleA microwave-optical/infrared disaggregation for improving spatial representation of soil moisture using AMSR-E and MODIS products
JournalRemote Sensing of Environment
AuthorsChoi, MinhaAuthor
Hur, YoomiAuthor
Year2012 (September)Volume124
PublisherElsevier BV
DOIdoi:10.1016/j.rse.2012.05.009Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9440064Long-form Identifiermindat:1:5:9440064:7
GUID0
Full ReferenceChoi, Minha, Hur, Yoomi (2012) A microwave-optical/infrared disaggregation for improving spatial representation of soil moisture using AMSR-E and MODIS products. Remote Sensing of Environment, 124. 259-269 doi:10.1016/j.rse.2012.05.009
Plain TextChoi, Minha, Hur, Yoomi (2012) A microwave-optical/infrared disaggregation for improving spatial representation of soil moisture using AMSR-E and MODIS products. Remote Sensing of Environment, 124. 259-269 doi:10.1016/j.rse.2012.05.009
In(n.d.) Remote Sensing of Environment Vol. 124. Elsevier BV

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Kim, Jongyoun, Hogue, Terri S. (2012) Improving Spatial Soil Moisture Representation Through Integration of AMSR-E and MODIS Products. IEEE Transactions on Geoscience and Remote Sensing, 50 (2) 446-460 doi:10.1109/tgrs.2011.2161318
Cho, Eunsang, Su, Chun-Hsu, Ryu, Dongryeol, Kim, Hyunglok, Choi, Minha (2017) Does AMSR2 produce better soil moisture retrievals than AMSR-E over Australia?. Remote Sensing of Environment, 188. 95-105 doi:10.1016/j.rse.2016.10.050
Tuttle, Samuel E., Salvucci, Guido D. (2014) A new approach for validating satellite estimates of soil moisture using large-scale precipitation: Comparing AMSR-E products. Remote Sensing of Environment, 142. 207-222 doi:10.1016/j.rse.2013.12.002
Im, Jungho, Park, Seonyoung, Rhee, Jinyoung, Baik, Jongjin, Choi, Minha (2016) Downscaling of AMSR-E soil moisture with MODIS products using machine learning approaches. Environmental Earth Sciences, 75 (15). doi:10.1007/s12665-016-5917-6
Wang, Jun, Ling, Ziwei, Wang, Yang, Zeng, Hui (2016) Improving spatial representation of soil moisture by integration of microwave observations and the temperature–vegetation–drought index derived from MODIS products. ISPRS Journal of Photogrammetry and Remote Sensing, 113. 144-154 doi:10.1016/j.isprsjprs.2016.01.009
Sun, Jian, Salvucci, Guido D., Entekhabi, Dara (2012) Estimates of evapotranspiration from MODIS and AMSR-E land surface temperature and moisture over the Southern Great Plains. Remote Sensing of Environment, 127. 44-59 doi:10.1016/j.rse.2012.08.020
Kolassa, J., Gentine, P., Prigent, C., Aires, F. (2016) Soil moisture retrieval from AMSR-E and ASCAT microwave observation synergy. Part 1: Satellite data analysis. Remote Sensing of Environment, 173. 1-14 doi:10.1016/j.rse.2015.11.011
Pellarin, Thierry, Louvet, Samuel, Gruhier, Claire, Quantin, Guillaume, Legout, Cedric (2013) A simple and effective method for correcting soil moisture and precipitation estimates using AMSR-E measurements. Remote Sensing of Environment, 136. 28-36 doi:10.1016/j.rse.2013.04.011
Kolassa, J., Gentine, P., Prigent, C., Aires, F., Alemohammad, S.H. (2017) Soil moisture retrieval from AMSR-E and ASCAT microwave observation synergy. Part 2: Product evaluation. Remote Sensing of Environment, 195. 202-217 doi:10.1016/j.rse.2017.04.020
Cho, Eunsang, Choi, Minha, Wagner, Wolfgang (2015) An assessment of remotely sensed surface and root zone soil moisture through active and passive sensors in northeast Asia. Remote Sensing of Environment, 160. 166-179 doi:10.1016/j.rse.2015.01.013
Nguyen, Hoang Hai, Cho, Seongkeun, Jeong, Jaehwan, Choi, Minha (2021) A D-vine copula quantile regression approach for soil moisture retrieval from dual polarimetric SAR Sentinel-1 over vegetated terrains. Remote Sensing of Environment, 255. 112283pp. doi:10.1016/j.rse.2021.112283
 
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