A microwave scattering model for layered vegetation
TLDR
Comparisons of results obtained using this microwave scattering model with measurements from deciduous and coniferous forests show good agreement at several frequencies for both like and cross polarizations.Abstract:
A microwave scattering model was developed for layered vegetation based on an iterative solution of the radiative transfer equation up to the second order to account for multiple scattering within the canopy and between the ground and the canopy. The model is designed to operate over a wide frequency range for both deciduous and coniferous forest and to account for the branch size distribution, leaf orientation distribution, and branch orientation distribution for each size. The canopy is modeled as a two-layered medium above a rough interface. The upper layer is the crown, containing leaves, stems, and branches. The lower layer is the trunk region, modeled as randomly positioned cylinders with a preferred orientation distribution above an irregular soil surface. Comparisons of results obtained using this model with measurements from deciduous and coniferous forests show good agreement at several frequencies for both like and cross polarizations. >read more
Citations
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Retrieval of land surface parameters using passive microwave measurements at 6-18 GHz
Eni G. Njoku,Li Li +1 more
TL;DR: An approach is evaluated for retrieval of land surface parameters (soil moisture, vegetation water content, and surface temperature) using satellite microwave radiometer data in the 6-18 GHz frequency range using an iterative, least-squares algorithm, based on six channels of radiometric data.
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Understanding the temporal behavior of crops using Sentinel-1 and Sentinel-2-like data for agricultural applications
Amanda Veloso,Stéphane Mermoz,Alexandre Bouvet,Thuy Le Toan,Milena Planells,Jean-François Dejoux,Eric Ceschia +6 more
TL;DR: In this paper, the authors analyzed the temporal trajectory of remote sensing data for a variety of winter and summer crops that are widely cultivated in the world (wheat, rapeseed, maize, soybean and sunflower).
Journal ArticleDOI
Review of Machine Learning Approaches for Biomass and Soil Moisture Retrievals from Remote Sensing Data
TL;DR: The main objective of this paper is to provide a review of research that is being carried out to retrieve two critically important terrestrial biophysical quantities from remote sensing data using machine learning methods.
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Advances in soil moisture retrieval from synthetic aperture radar and hydrological applications
TL;DR: In this paper, a comprehensive literature review was conducted to provide the state-of-the-art of SAR soil moisture retrieval methodology, its limitations and potential, and a discussion of the benefits and limitations of soil moisture data retrieved from SAR is used to outline the scope of SAR derived soil moisture for hydrological applications.
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Radar Remote Sensing of Agricultural Canopies: A Review
Susan C. Steele-Dunne,Heather McNairn,Alejandro Monsivais-Huertero,Jasmeet Judge,Pang-Wei Liu,Kostas Papathanassiou +5 more
TL;DR: Improved representation of vegetation phenology and water dynamics will be identified as essential to improve soil moisture retrievals, crop monitoring, and for the development of emerging drought/water stress applications.
References
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Book
Microwave Remote Sensing, Active and Passive
TL;DR: 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.
Journal ArticleDOI
Michigan microwave canopy scattering model
TL;DR: The Michigan Microwave Canopy Scattering model (MIMICS) as mentioned in this paper is based on a first-order solution of the radiative-transfer equation for a tree canopy comprising a crown layer, a trunk layer and a rough-surface ground boundary.
Journal ArticleDOI
Microwave Dielectric Spectrum of Vegetation - Part II: Dual-Dispersion Model
TL;DR: In this article, a Debye-Cole dual-dispersion dielectric model consisting of a component that accounts for the volume fraction occupied by water in free form and another component comprised of water molecules bound to bulk-vegetation molecules is presented.
Microwave Dielectric Spectrum ofVegetation PartII:Dual-Dispersion Model
TL;DR: In this paper, a Debye-Cole dual-dispersion dielectric model consisting of a component that accounts for the volume fraction occupied by water in free-form and another component that accounts for the vol- umefraction occupied by them mixture comprised of watermolecules boundtobulk-vegetation molecules was proposed.
Journal ArticleDOI
Modeling and observation of the radar polarization signature of forested areas
TL;DR: In this paper, a model of L-band microwave scattering from a forest was developed to understand radar measurements of forested areas, and it was found that this simple model permits accurate prediction of the polarization of the scattered waves and that additional mechanisms including the effects of leaves and twigs are not required for the 25-cm observation of the forests studied.