The annual behavior of backscattering and coherence of palsar data
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The Annual Behavior of Backscattering And Coherence of PALSAR Data. Wenjian Ni 1,2 , Zhifeng Guo 1 , Zhiyu Zhang 3 , Guoqing Sun 2 1 Institute of Remote Sensing Applications of Chinese Academy of Sciences 2 Department of Geography, University of Maryland, College Park

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The annual behavior of backscattering and coherence of palsar data

The Annual Behavior of Backscattering And Coherence of PALSAR Data

Wenjian Ni1,2, Zhifeng Guo1, Zhiyu Zhang3 , Guoqing Sun2

1Institute of Remote Sensing Applications of Chinese Academy of Sciences

2Department of Geography, University of Maryland, College Park

3Beijing Normal University

niwenjian@irsa.ac.cn / wenjian@umd.edu


Outline
OutLine PALSAR Data

  • 1. Introduction

  • 2.Test site and data

  • 3. The annual behavior of Backscattering

  • 4. The annual behavior of Coherence

  • 5.Conclusion


The annual behavior of backscattering and coherence of palsar data

Introduction PALSAR Data

  • PALSAR Mosaic data provide a great chance to map biomass at regional scale;

  • The data covered a year and several seasons.

  • The seasonal effects on coherence have been investigated using ERS1/2 tandem (Koskinen, J.T. et. al., 2001), and JERS data (Eriksson, L.E. et al., 2003) ;

  • How PALSAR data were affected by precipitation and temperature?


The annual behavior of backscattering and coherence of palsar data

The true color IKNOS image of study site (06/24/2002 ) PALSAR Data

The multi-temporal backscattering data (HV).

Red: cycle 14, Green: Cycle 19, Blue Cycle 20;

Test site and data

missed


The annual behavior of backscattering and coherence of palsar data

2007/10/10 PALSAR Data

2008/01/10

2007/07/10

2007/08/25

2008/02/25

2008/04/11

2008/05/27

2008/07/12

Backscattering over a year (HH)

There was no obvious change on spatial pattern


The annual behavior of backscattering and coherence of palsar data

Backscattering over a year PALSAR Data

Rain

(HH)

Leaves fall

Frozen and snow

sprout of vegetation

thawing and snow melting

Frozen

Precipitation:

2007/07/09: No record

2007/07/10: No record

2007/08/25: 4:00 (0.25 mm)

21:00 (1.52 mm)

23:00 (0.25 mm)

No Precipitation on other dates of data acquisition.


The annual behavior of backscattering and coherence of palsar data

Coherence over a year PALSAR Data

Rows:horizontal baseline, Columns: vertical baseline

Baseline length

IKNOS

2007/10/10

2008/01/10

2007/08/25

2008/04/11

2008/05/27

2008/07/12

2008/02/25

There were totally 28 interferometric pairs formed by the 8 scenes of PALSAR data.

2007/07/10 vs. others


The annual behavior of backscattering and coherence of palsar data

2007/07/10 vs. others PALSAR Data

Snow and frozen


The annual behavior of backscattering and coherence of palsar data

IKNOS PALSAR Data

2007/07/10-2007/08/25

2007/08/25-2007/10/10

2007/10/10-2008/01/10

2008/01/10-2008/02/25

2008/02/25-2008/04/11

2008/04/11-2008/05/27

2008/05/27-2008/07/12

Successive interferometric pairs


The annual behavior of backscattering and coherence of palsar data

Nearly noise PALSAR Data

Baseline 3992.907 m

  • The interferometric pairs from summer was the best;

  • that composed by summer and autumn or by spring and summer was the middle;

  • that composed by winter data was the worst;


The annual behavior of backscattering and coherence of palsar data

(d) PALSAR Data

(c)

(a)

(b)

Spatial pattern of coherence and SRTM minus PALSAR-DEM.

(a) H75 from LVIS Ground Elevation (lge) acquired on 2009;

(b) SRTM minus DEM (2007/07/10~ 2007/08/25) (HV);

(c) Coherence of 2007/07/10~2007/08/25 (HH);

(d) Coherence of 2008/04/11~2008/05/27(HH);

  • The spatial pattern of Figure a and b was consistent.

  • Figure d was obviously opposite to that of Figure 8-c. This may be attributed to the melt of snow

    which leads to the high soil moisture. The double bounce between canopy and ground at high

    biomass area was the dominant and stable scattering component.


Conclusion
Conclusion PALSAR Data

  • In terms ofbackscattering, Summer data was stable. Leaves falling, frozen and Snow accumulation decrease the autumn and winter data. Thawing, melting of snow and vegetation sprout increase the spring data.

  • Interferometric pair from summer data has the best coherence; Snow and frozen hinder the interferometric process of winter data. Summer data is the best to be used to map biomass

  • The difference of SRTM and DEM from PALSAR InSAR data can provide forest height information.

  • Coherence from spring data was positively correlated with forest coverage.

    Why and How ?

    Information lies in variations! How to use the data in other seasons?


The annual behavior of backscattering and coherence of palsar data

Thank you for your attention PALSAR Data

And

Have a nice time in Vancouver!