Using a priori information to improve soil moisture retrieval from ENVISAT ASAR AP data in semiarid regions

Research output: Contribution to journal › Article › Academic › peer-review

Original language	English
Pages (from-to)	900-912
Journal	IEEE transactions on geoscience and remote sensing
Volume	44
Issue number	4
Publication status	Published - 2006

Keywords

@article{29d83c991d8f4a2193173cdc9962ee61,

title = "Using a priori information to improve soil moisture retrieval from ENVISAT ASAR AP data in semiarid regions",

keywords = "ADLIB-ART-2511, WRS",

author = "F. Mattia and G. Satalino and Laura Dente and G. Pasquariello",

year = "2006",

language = "English",

volume = "44",

pages = "900--912",

journal = "IEEE transactions on geoscience and remote sensing",

issn = "0196-2892",

publisher = "IEEE",

number = "4",

}

TY - JOUR

T1 - Using a priori information to improve soil moisture retrieval from ENVISAT ASAR AP data in semiarid regions

AU - Mattia, F.

AU - Satalino, G.

AU - Dente, Laura

AU - Pasquariello, G.

PY - 2006

Y1 - 2006

KW - ADLIB-ART-2511

KW - WRS

M3 - Article

SN - 0196-2892

VL - 44

SP - 900

EP - 912

JO - IEEE transactions on geoscience and remote sensing

JF - IEEE transactions on geoscience and remote sensing

IS - 4

ER -