IEEE Transactions on Geoscience and Remote Sensing · 1989 · 184 citations · 7 references
Natural SciencesAgricultural EngineeringGeoinformaticsCrop ModelingCrop SensingRemote SensingDual-polarization RadarLand Surface MonitoringRadar Signal ProcessingRemote Sensing ImageryVegetation Cover AssessmentVegetation MonitoringBackscatter RadiationCrop MappingDual-polarization ProcessingRadar Backscatter AnalysisRadar ImagingRadar PolarimetryRadar-based Vegetation MonitoringVegetation Canopy Processes
This paper presents a study of SAR images which aims to demonstrate the capability of radar to identify vegetation types and to determine the vegetation canopy parameters. The investigations, per formed on bi-temporal and dual-polarizatio n (HH and VV) X-band SAR images of an agricultural scene, included all the steps involved, from SAR images to applications: 1) The retrieval of radar backscatter val ues from SAR images has been possible with the use of external ref erence targets; 2) the analysis of the polarization and temporal re sponses of the vegetation covers has highlighted the particular behavior of flooded rice fields; 3) the observations of ricefields have been inter preted by a theoretical model. During an extended period of rice plant growth, the model, in agreement with the observations, suggests a pos sible use of both HH and VV images for ricefield mapping and moni toring; and 4) a result of ricefield mapping with an algorithm based on the above results is presented.
7
Photosynthesis of leaf canopies
C.T. de Wit · Socio-Environmental Systems Modeling · 1965 · 785 citations · Full text
M.A. Karam, A.K. Fung · International Journal of Remote Sensing · 1988 · 264 citations
Natural Sciences, Earth Sciences, Electrical Engineering +15