4. TerraSAR-X Science Team Meeting

4. TerraSAR-X Science Team Meeting
Oberpfaffenhofen, 14 to 16 of February 2011
MTH0493
Analysis of forest cover using LANDSAT and TerraSar-X data
in cloud tropical forest of San Eusebio, Mérida, Venezuela
Advance Report
Juan Ygnacio López Hernández
Barbara Koch
FELIS Departament
Freiburg University, Germany
Contents

Objectives
Validation

Data
References

Area of study

Preprocessing

Classification
Objectives


Develop a method for identification of forest areas
measuring their main parameters incorporating SAR
data
Produce forest maps from

Landsat 1990, 2000

TSX 2009

Analyze maps with time series

Produce maps of forest cover and changes
The problem

Enough documentation (biology, soils and botany)

Historical permanent plots

Almost all the year cloud covered

Few optical data available
Subset of Landsat ETM+ scene
Subset of Landsat TM scene
Data


Satellite

Landsat GLS

TerraSar-X (ScanSAR, StripMap, ScanSAR)
Field

Plot inventory (Biodesus & Leeds)

LAI measurements

Photographic records


Vertical (In the plots)
Tilted (Close to mountains)
Maracaibo Lake
Area of study
Los Andes Mountains
Planning the ScanSar scene and scene obtained
Import and georreference of the ScanSar scene
One of the StripMap scenes
orthorectified
Preprocessing SpotLight from San Eusebio
Generation of clusters and segments from SpotLight HR scene
Method
Method
Radar scenes: polarization HH, VV and HV

Preprosessing:

Ortho rectifying Sigma0 TSX Scenes
Multilooking (2 range looks)
 Sar Simulation
 SRTM 3Sec dem
 bilinear interpolation
 layover mask production
 200 GCP
 Radiometric Normalization
Derivation of texture ocurrence and coocurrence products: Mean, variance,
homogeneity, contrast, dissimilarity, entropy, second moment and
correlation.


Method
Classification approach


Forest cover from TSX:

Statistical regression analysis permanent plot inventory variables,
and TSX scene products.

Variable selection (AIC, BIC criterions)
Forest mask
Method
Forest Classification approach

Segmentation


Texture based
Polsar
Evaluation

Field Ground truth data.

Photographic evidences of field trip.
Field data
Density
Lai
Scene
Type
Forest Variables
2009
2010
Applications
References
1. Griffin, D. (1975). Additions to the Moss Flora of
Venezuela. The Bryologist, 78(2), pp. 212-215.
7. Marcano, V., & Méndez, A. M. (1994). New Species of
Ramalina from Venezuela. The Bryologist, 97(1), pp. 26-33.
2. Hoffmann R. & R. Reulke (2008). Aspects of the
standardization of sensor and data fusion of remote
sensing data. In The International Archives of the
Photogrammetry, Remote Sensing and Spatial
Information Sciences. (17). Part B1. (pp 41–46)
8. Ramos, M. C., Ratschiller, P., & Andrés, M. (n.d.). Dinámica
sucesional del componente arbóreo, luego de un estudio
destructivo de biomasa, en el bosque universitario San
Eusebio, Mérida-Venezuela. Revista Forestal Venezolana,
1, 051.
3. Kelly, D. L., Tanner, E. V. J., Lughadha, E. M. N., &
Kapos, V. (1994). Floristics and Biogeography of a Rain
Forest in the Venezuelan Andes. Journal of
Biogeography, 21(4), pp. 421-440.
9. Rangel, C. (2004). Mapa de vegetación escala 1:5000 y
visualización tridimensional de la estación experimental San
Eusebio por medio de sistema de información geográfica y
animaciones virtuales. MSc Thesis. ULA. Mérida.
Venezuela.
4. Klonus, S., & Ehlers, M. (2008). Pansharpening with
TerraSAR-X and optical data. In Proceedings of the 3rd
TerraSAR-X Science Team Meeting. Darmstadt,
Germany: German Aerpspace Center (pp. 25–26).
5. Klonusa, S. (2008). Comparison of pansharpening
algorithms for combining radar and multispectral data.
The International Archives of the Photogrammetry,
Remote Sensing and Spatial Information Sciences,
189–194.
6. Lopez-Gonzalez, G., Lewis, S.L., Phillips, O.L., Burkitt, M.
Forest Plots Database. www.forestplots.net. Date of
extraction [30,03,2010]
10. Ricardi, M., & Marín, M. (1996). Sinopsis de la flora
pteridológica del bosque La Carbonera-San Eusebio, Mérida
(Venezuela). PlantULA, 1(1), 55–64.
11. Schargel, W. E., & García-Pérez, J. E. (2002). A New
Species and a New Record of Atractus (Serpentes:
Colubridae) from the Andes of Venezuela. Journal of
Herpetology, 36(3), pp. 398-402.
12. Schowengerdt, R. (2007). Remote sensing, models, and
methods for image processing (3rd ed.). Burlington MA:
Academic Press.
13. NASA. (2009) WIST . Retrieved January 10, 2009, from
https://wist.echo.nasa.gov/~wist/api/imswelcome/
Thank you
[Danke]
[Gracias]