Trabalho Apresentado em Evento

Exploring vegetation profiles from TanDEM-X phase, lidar, and field measurements in tropical forests

This paper explores the hypothesis that few-look phases from TanDEM-X have information about the vegetation profile over 50 × 50 m stands in tropical moist forests in Brazil. The formalism for modeling the interferometric phase of interferometric SAR (InSAR) is examined before taking the look, or en...

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Autor principal: Treuhaft, Robert N.
Outros Autores: Gonçalves, Fábio Guimarães, Santos, João Roberto dos, Palace, Michael W., Keller, Michael, Madsen, Søren Nørvang, Sullivan, Franklin B., Graça, Paulo Maurício Lima Alencastro de
Grau: Trabalho Apresentado em Evento
Idioma: English
Publicado em: Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR 2020
Assuntos:
Acesso em linha: https://repositorio.inpa.gov.br/handle/1/20022
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spelling oai:repositorio:1-20022 Exploring vegetation profiles from TanDEM-X phase, lidar, and field measurements in tropical forests Treuhaft, Robert N. Gonçalves, Fábio Guimarães Santos, João Roberto dos Palace, Michael W. Keller, Michael Madsen, Søren Nørvang Sullivan, Franklin B. Graça, Paulo Maurício Lima Alencastro de Forestry Graphic Methods Interferometry Optical Radar Radar Vegetation Ensemble Averages Field Measurement Interferometric Phase Interferometric Sar Observation Period Tropical Moist Forest Vegetation Density Vegetation Profiles Synthetic Aperture Radar This paper explores the hypothesis that few-look phases from TanDEM-X have information about the vegetation profile over 50 × 50 m stands in tropical moist forests in Brazil. The formalism for modeling the interferometric phase of interferometric SAR (InSAR) is examined before taking the look, or ensemble average. It is suggested that it is the look averaging that produces the Fourier transform of the radar power profile in InSAR. Before the look averaging, a histogram of InSAR phases seems related to the radar power profile, which, in turn, is related to vegetation density. After a qualitative argument about the information in the few-look phases, 2-look phase histograms are shown along with lidar waveform profiles and modeled field profiles. It is observed that, for taller stands, TanDEM-X profiles are narrower than lidar and field profiles, suggesting less penetration. There is some suggestion that lidar ground finding needs honing and/or there has been disturbance over the observation period between 2010 and 2012. © VDE VERLAG GMBH · Berlin · Offenbach, Germany. 2020-06-16T17:31:44Z 2020-06-16T17:31:44Z 2014 Trabalho Apresentado em Evento https://repositorio.inpa.gov.br/handle/1/20022 en Volume Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR, Pags. 874-876 Restrito Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR
institution Instituto Nacional de Pesquisas da Amazônia - Repositório Institucional
collection INPA-RI
language English
topic Forestry
Graphic Methods
Interferometry
Optical Radar
Radar
Vegetation
Ensemble Averages
Field Measurement
Interferometric Phase
Interferometric Sar
Observation Period
Tropical Moist Forest
Vegetation Density
Vegetation Profiles
Synthetic Aperture Radar
spellingShingle Forestry
Graphic Methods
Interferometry
Optical Radar
Radar
Vegetation
Ensemble Averages
Field Measurement
Interferometric Phase
Interferometric Sar
Observation Period
Tropical Moist Forest
Vegetation Density
Vegetation Profiles
Synthetic Aperture Radar
Treuhaft, Robert N.
Exploring vegetation profiles from TanDEM-X phase, lidar, and field measurements in tropical forests
topic_facet Forestry
Graphic Methods
Interferometry
Optical Radar
Radar
Vegetation
Ensemble Averages
Field Measurement
Interferometric Phase
Interferometric Sar
Observation Period
Tropical Moist Forest
Vegetation Density
Vegetation Profiles
Synthetic Aperture Radar
description This paper explores the hypothesis that few-look phases from TanDEM-X have information about the vegetation profile over 50 × 50 m stands in tropical moist forests in Brazil. The formalism for modeling the interferometric phase of interferometric SAR (InSAR) is examined before taking the look, or ensemble average. It is suggested that it is the look averaging that produces the Fourier transform of the radar power profile in InSAR. Before the look averaging, a histogram of InSAR phases seems related to the radar power profile, which, in turn, is related to vegetation density. After a qualitative argument about the information in the few-look phases, 2-look phase histograms are shown along with lidar waveform profiles and modeled field profiles. It is observed that, for taller stands, TanDEM-X profiles are narrower than lidar and field profiles, suggesting less penetration. There is some suggestion that lidar ground finding needs honing and/or there has been disturbance over the observation period between 2010 and 2012. © VDE VERLAG GMBH · Berlin · Offenbach, Germany.
format Trabalho Apresentado em Evento
author Treuhaft, Robert N.
author2 Gonçalves, Fábio Guimarães
Santos, João Roberto dos
Palace, Michael W.
Keller, Michael
Madsen, Søren Nørvang
Sullivan, Franklin B.
Graça, Paulo Maurício Lima Alencastro de
author2Str Gonçalves, Fábio Guimarães
Santos, João Roberto dos
Palace, Michael W.
Keller, Michael
Madsen, Søren Nørvang
Sullivan, Franklin B.
Graça, Paulo Maurício Lima Alencastro de
title Exploring vegetation profiles from TanDEM-X phase, lidar, and field measurements in tropical forests
title_short Exploring vegetation profiles from TanDEM-X phase, lidar, and field measurements in tropical forests
title_full Exploring vegetation profiles from TanDEM-X phase, lidar, and field measurements in tropical forests
title_fullStr Exploring vegetation profiles from TanDEM-X phase, lidar, and field measurements in tropical forests
title_full_unstemmed Exploring vegetation profiles from TanDEM-X phase, lidar, and field measurements in tropical forests
title_sort exploring vegetation profiles from tandem-x phase, lidar, and field measurements in tropical forests
publisher Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR
publishDate 2020
url https://repositorio.inpa.gov.br/handle/1/20022
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score 11.755432