Open AccessBook
Microwave Remote Sensing, Active and Passive
TLDR
In this article, the authors present a model of a MICROWAVE REMOTE SENSING FUNDAMENTALS and RADIOMETRY, which is based on the idea of surface scattering.Abstract:
EN BIBLIOTECA: V.1: MICROWAVE REMOTE SENSING FUNDAMENTALS AND RADIOMETRY. V.2: RADAR REMOTE SENSING AND SURFACE SCATTERING AND EMISSION THEORYread more
Citations
More filters
Journal ArticleDOI
Soil moisture retrieval from AMSR-E
TL;DR: The AMSR-E sensor calibration and extent of radio frequency interference are currently being assessed, to be followed by quantitative assessments of the soil moisture retrievals, which will provide evaluations of the retrieved soil moisture and enable improved hydrologic applications of the data.
Journal ArticleDOI
TanDEM-X: A Satellite Formation for High-Resolution SAR Interferometry
Gerhard Krieger,Alberto Moreira,Hauke Fiedler,Irena Hajnsek,Marian Werner,Marwan Younis,Manfred Zink +6 more
TL;DR: A detailed overview of the TanDEM-X mission concept is given which is based on the systematic combination of several innovative technologies, including a novel satellite formation flying concept allowing for the collection of bistatic data with short along-track baselines, as well as the use of new interferometric modes for system verification and DEM calibration.
Journal ArticleDOI
Global land-surface evaporation estimated from satellite-based observations
Diego G. Miralles,Thomas R. H. Holmes,Thomas R. H. Holmes,R.A.M. de Jeu,John H. C. Gash,A. G. C. A. Meesters,A. J. Dolman +6 more
TL;DR: In this paper, a satellite-sensor-based approach is proposed to estimate daily evaporation at a global scale and 0.25 degree spatial resolution using the Priestley and Taylor (PT) model.
Journal ArticleDOI
Measuring soil moisture with imaging radars
P. Dubois,J.J. van Zyl,T. Engman +2 more
TL;DR: An empirical algorithm for the retrieval of soil moisture content and surface root mean square (RMS) height from remotely sensed radar data was developed using scatterometer data and inversion results indicate that significant amounts of vegetation cause the algorithm to underestimate soil moisture and overestimate RMS height.
Journal ArticleDOI
The red edge of plant leaf reflectance
TL;DR: In this paper, a detailed study of the red edge spectral feature of green vegetation based on laboratory reflectance spectrophotometry is presented, where a parameter lambda is defined as the wavelength is defined by the wavelength of maximum slope and found to be dependent on chlorophyll concentration.