Zobrazeno 1 - 10
of 30
pro vyhledávání: '"M. S. Moran"'
Estimation of surface roughness in a semiarid region from C-band ERS-1 synthetic aperture radar data
Publikováno v:
Revista Brasileira de Ciência do Solo, Vol 23, Iss 4, Pp 903-908 (1999)
In this study, we investigated the feasibility of using the C-band European Remote Sensing Satellite (ERS-1) synthetic aperture radar (SAR) data to estimate surface soil roughness in a semiarid rangeland. Radar backscattering coefficients were extrac
Externí odkaz:
https://doaj.org/article/07fac2de55774d638934f7d3d61aff38
Autor:
M. S. Moran, Jose Moreno, D. Fernando de la Cruz, A. Montoro, Luis Alonso, Maria Pilar Cendrero Mateo
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 50:1057-1070
An analysis of the sensitivity of synthetic aperture radar (SAR) backscatter (σo) to crop and soil conditions was conducted using 57 RADARSAT-2 C-band quad-polarized SAR images acquired from April to September 2009 for large fields of wheat, barley,
Autor:
EdsonE. Sano, C. Holifield Collins, M. S. Moran, Ray B. Bryant, S. Skirvin, David P. Thoma, Barron J. Orr, M. Rahman, C. Kershner
Publikováno v:
International Journal of Remote Sensing. 28:3995-4012
Surface roughness is a key parameter of radar backscatter models designed to retrieve surface soil moisture (θS) information from radar images. This work offers a theory-based approach for estimating a key roughness parameter, termed the roughness c
Autor:
Sujay V. Kumar, Christa D. Peters-Lidard, Matthew Garcia, Scott N. Miller, J. Geiger, Michael A. Tischler, M. S. Moran, David P. Thoma
Publikováno v:
Environmental Modelling & Software. 22:891-898
A GIS framework, the Army Remote Moisture System (ARMS), has been developed to link the Land Information System (LIS), a high performance land surface modeling and data assimilation system, with remotely sensed measurements of soil moisture to provid
Publikováno v:
Canadian Journal of Remote Sensing. 29:259-270
The water deficit index (WDI) derived from Landsat imagery was used to detect temporal and spatial changes in grassland transpiration. The WDI, which estimates relative evapotranspiration rates based on meteorological data and the relation between su
Publikováno v:
Soil Science Society of America Journal. 64:319-326
Studies show that it may be possible to combine satellite-derived soil water maps with soil-vegetation-atmosphere transfer (SVAT) models to obtain spatially distributed, temporally continuous information on vadose zone water contents. However, before
Autor:
Mark A. Weltz, M. S. Moran, David C. Goodrich, A. Vidal, A. Beaudoin, D. Troufleau, J. Washburn, Abdullah F. Rahman
Publikováno v:
Remote Sensing Reviews. 15:113-132
This study reports the first results of the Walnut Gulch’ 92 experiment concerning the combined use of radar backscattering (ERS‐1) and thermal infrared (Landsat TM) data to estimate surface sensible heat flux. The purpose is to use the radar/the
Autor:
M. S. Moran, Y. Inoue
Publikováno v:
International Journal of Remote Sensing. 18:139-152
Daily values of actual canopy transpiration were obtained by stemflow heat balance method (SFG) in drought-stressed, waterlogged, and periodically-irrigated soybean canopies (Glycine max Merr.). Spectral and thermal infrared measurements and basic me
Publikováno v:
Soil Erosion.
Autor:
M. S. Moran, M. Mosley
Publikováno v:
MD Conference Express. 14:29-30