LDR | | 00000nam u2200205 4500 |
001 | | 000000431717 |
005 | | 20200224104410 |
008 | | 200131s2019 ||||||||||||||||| ||eng d |
020 | |
▼a 9781088333655 |
035 | |
▼a (MiAaPQ)AAI13905141 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
082 | 0 |
▼a 630 |
100 | 1 |
▼a Walker, Victoria A. |
245 | 10 |
▼a A New Approach to Retrieving Soil Moisture from SMAP over the Corn Belt. |
260 | |
▼a [S.l.]:
▼b Iowa State University.,
▼c 2019. |
260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2019. |
300 | |
▼a 125 p. |
500 | |
▼a Source: Dissertations Abstracts International, Volume: 81-04, Section: B. |
500 | |
▼a Advisor: Hornbuckle, Brian K. |
502 | 1 |
▼a Thesis (Ph.D.)--Iowa State University, 2019. |
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▼a This item must not be sold to any third party vendors. |
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▼a NASA's Soil Moisture Active Passive (SMAP) satellite utilizes passive observations of L-band (f = 1.41 GHz, 貫 = 21 cm) brightness temperature to estimate surface soil moisture at a spatial scale of 33 km approximately once per day in the U. S. Corn Belt. These observations have the potential to improve weather forecasting models, increase agricultural productivity, and provide decision support for flood and drought management. However, SMAP Level 2 Soil Moisture (L2SM) performs poorly in croplands validation sites such as the South Fork Iowa River (located in central Iowa) |
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▼a School code: 0097. |
650 | 4 |
▼a Remote sensing. |
650 | 4 |
▼a Soil sciences. |
650 | 4 |
▼a Agriculture. |
690 | |
▼a 0799 |
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▼a 0481 |
690 | |
▼a 0473 |
710 | 20 |
▼a Iowa State University.
▼b Agronomy. |
773 | 0 |
▼t Dissertations Abstracts International
▼g 81-04B. |
773 | |
▼t Dissertation Abstract International |
790 | |
▼a 0097 |
791 | |
▼a Ph.D. |
792 | |
▼a 2019 |
793 | |
▼a English |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15492581
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
980 | |
▼a 202002
▼f 2020 |
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▼a ***1008102 |
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▼a E-BOOK |