Observation of Tropical Rain Forest Trees by Airborne High-Resolution Interferometric Radar

D.H. Hoekman, C. Varekamp

Research output: Contribution to journalArticleAcademicpeer-review

23 Citations (Scopus)

Abstract

The Indonesian Radar Experiment (INDREX) Campaign was executed in Indonesia to study the potential of high-resolution interferometric airborne radar in support of sustainable tropical forest management. Severe cloud cover limits the use of aerial photography, which is currently applied on a routine basis to extract information at the tree level. Interferometric radar images may be a viable alternative once radar imaging at the tree level is sufficiently understood. It is shown that interferometric height images can contain large height and displacement errors for individual trees but that this problem can be solved to a large extent using models for the vertical distribution of backscatter intensity and an extension of the Van Cittert-Zernike theorem. The predicted loss of coherence in lay-over regions of emergent trees is shown to be in good agreement with the loss of coherence as observed in the high resolution radar data (Pierson correlation coefficient=0.94). Several correction methods for height and displacement errors are proposed. It is shown that a simple approach already gives a good correction. Semi-empirical correction models, which can be calibrated for forest structure, perform even better
Original languageEnglish
Pages (from-to)584-594
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume39
Issue number3
DOIs
Publication statusPublished - 2001

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Rain
Radar
Aircraft radar equipment
radar
Aerial photography
Radar imaging
Forestry
aerial photography
cloud cover
backscatter
tropical forest
forest management
vertical distribution
tropical rain forest
Experiments
experiment
loss

Keywords

  • tropical rain forests
  • remote sensing
  • radar

Cite this

@article{185cd77548c24716b83cbf066ebc62a8,
title = "Observation of Tropical Rain Forest Trees by Airborne High-Resolution Interferometric Radar",
abstract = "The Indonesian Radar Experiment (INDREX) Campaign was executed in Indonesia to study the potential of high-resolution interferometric airborne radar in support of sustainable tropical forest management. Severe cloud cover limits the use of aerial photography, which is currently applied on a routine basis to extract information at the tree level. Interferometric radar images may be a viable alternative once radar imaging at the tree level is sufficiently understood. It is shown that interferometric height images can contain large height and displacement errors for individual trees but that this problem can be solved to a large extent using models for the vertical distribution of backscatter intensity and an extension of the Van Cittert-Zernike theorem. The predicted loss of coherence in lay-over regions of emergent trees is shown to be in good agreement with the loss of coherence as observed in the high resolution radar data (Pierson correlation coefficient=0.94). Several correction methods for height and displacement errors are proposed. It is shown that a simple approach already gives a good correction. Semi-empirical correction models, which can be calibrated for forest structure, perform even better",
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Observation of Tropical Rain Forest Trees by Airborne High-Resolution Interferometric Radar. / Hoekman, D.H.; Varekamp, C.

In: IEEE Transactions on Geoscience and Remote Sensing, Vol. 39, No. 3, 2001, p. 584-594.

Research output: Contribution to journalArticleAcademicpeer-review

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AU - Varekamp, C.

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N2 - The Indonesian Radar Experiment (INDREX) Campaign was executed in Indonesia to study the potential of high-resolution interferometric airborne radar in support of sustainable tropical forest management. Severe cloud cover limits the use of aerial photography, which is currently applied on a routine basis to extract information at the tree level. Interferometric radar images may be a viable alternative once radar imaging at the tree level is sufficiently understood. It is shown that interferometric height images can contain large height and displacement errors for individual trees but that this problem can be solved to a large extent using models for the vertical distribution of backscatter intensity and an extension of the Van Cittert-Zernike theorem. The predicted loss of coherence in lay-over regions of emergent trees is shown to be in good agreement with the loss of coherence as observed in the high resolution radar data (Pierson correlation coefficient=0.94). Several correction methods for height and displacement errors are proposed. It is shown that a simple approach already gives a good correction. Semi-empirical correction models, which can be calibrated for forest structure, perform even better

AB - The Indonesian Radar Experiment (INDREX) Campaign was executed in Indonesia to study the potential of high-resolution interferometric airborne radar in support of sustainable tropical forest management. Severe cloud cover limits the use of aerial photography, which is currently applied on a routine basis to extract information at the tree level. Interferometric radar images may be a viable alternative once radar imaging at the tree level is sufficiently understood. It is shown that interferometric height images can contain large height and displacement errors for individual trees but that this problem can be solved to a large extent using models for the vertical distribution of backscatter intensity and an extension of the Van Cittert-Zernike theorem. The predicted loss of coherence in lay-over regions of emergent trees is shown to be in good agreement with the loss of coherence as observed in the high resolution radar data (Pierson correlation coefficient=0.94). Several correction methods for height and displacement errors are proposed. It is shown that a simple approach already gives a good correction. Semi-empirical correction models, which can be calibrated for forest structure, perform even better

KW - tropische regenbossen

KW - remote sensing

KW - radar

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KW - remote sensing

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