Global Soil Moisture Estimation based on GPM IMERG Data using a Site Specific Adjusted Antecedent Precipitation Index. Ramsauer, T. & Marzahn, P. International Journal of Remote Sensing, 44(2):542–566, January, 2023.
Paper doi bibtex @article{ramsauer_global_2023,
title = {Global {Soil} {Moisture} {Estimation} based on {GPM} {IMERG} {Data} using a {Site} {Specific} {Adjusted} {Antecedent} {Precipitation} {Index}},
volume = {44},
issn = {0143-1161, 1366-5901},
url = {https://www.tandfonline.com/doi/full/10.1080/01431161.2022.2162351},
doi = {10.1080/01431161.2022.2162351},
language = {en},
number = {2},
urldate = {2024-11-15},
journal = {International Journal of Remote Sensing},
author = {Ramsauer, Thomas and Marzahn, Philip},
month = jan,
year = {2023},
pages = {542--566},
}
Downloads: 0
{"_id":"z8MZ2kemCKvbCJSxy","bibbaseid":"ramsauer-marzahn-globalsoilmoistureestimationbasedongpmimergdatausingasitespecificadjustedantecedentprecipitationindex-2023","author_short":["Ramsauer, T.","Marzahn, P."],"bibdata":{"bibtype":"article","type":"article","title":"Global Soil Moisture Estimation based on GPM IMERG Data using a Site Specific Adjusted Antecedent Precipitation Index","volume":"44","issn":"0143-1161, 1366-5901","url":"https://www.tandfonline.com/doi/full/10.1080/01431161.2022.2162351","doi":"10.1080/01431161.2022.2162351","language":"en","number":"2","urldate":"2024-11-15","journal":"International Journal of Remote Sensing","author":[{"propositions":[],"lastnames":["Ramsauer"],"firstnames":["Thomas"],"suffixes":[]},{"propositions":[],"lastnames":["Marzahn"],"firstnames":["Philip"],"suffixes":[]}],"month":"January","year":"2023","pages":"542–566","bibtex":"@article{ramsauer_global_2023,\n\ttitle = {Global {Soil} {Moisture} {Estimation} based on {GPM} {IMERG} {Data} using a {Site} {Specific} {Adjusted} {Antecedent} {Precipitation} {Index}},\n\tvolume = {44},\n\tissn = {0143-1161, 1366-5901},\n\turl = {https://www.tandfonline.com/doi/full/10.1080/01431161.2022.2162351},\n\tdoi = {10.1080/01431161.2022.2162351},\n\tlanguage = {en},\n\tnumber = {2},\n\turldate = {2024-11-15},\n\tjournal = {International Journal of Remote Sensing},\n\tauthor = {Ramsauer, Thomas and Marzahn, Philip},\n\tmonth = jan,\n\tyear = {2023},\n\tpages = {542--566},\n}\n\n\n\n","author_short":["Ramsauer, T.","Marzahn, P."],"key":"ramsauer_global_2023","id":"ramsauer_global_2023","bibbaseid":"ramsauer-marzahn-globalsoilmoistureestimationbasedongpmimergdatausingasitespecificadjustedantecedentprecipitationindex-2023","role":"author","urls":{"Paper":"https://www.tandfonline.com/doi/full/10.1080/01431161.2022.2162351"},"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://bibbase.org/zotero/tereno","dataSources":["cq3J5xX6zmBvc2TQC"],"keywords":[],"search_terms":["global","soil","moisture","estimation","based","gpm","imerg","data","using","site","specific","adjusted","antecedent","precipitation","index","ramsauer","marzahn"],"title":"Global Soil Moisture Estimation based on GPM IMERG Data using a Site Specific Adjusted Antecedent Precipitation Index","year":2023}