Tropical Forest Tree Height and Above Ground Biomass Mapping in Nepal Using Tandem-X and ALOS PALSAR Data

Oleg Antropov; Yrjo Rauste; Katri Tegel; Yamuna Baral; Virpi Junttila; Tuomo Kauranne; Tuomas Hame; Jaan Praks

doi:10.1109/IGARSS.2018.8519190

Tropical Forest Tree Height and Above Ground Biomass Mapping in Nepal Using Tandem-X and ALOS PALSAR Data

Oleg Antropov^*, Yrjo Rauste, Katri Tegel, Yamuna Baral, Virpi Junttila, Tuomo Kauranne, Tuomas Hame, Jaan Praks

^*Tämän työn vastaava kirjoittaja

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference contribution › Scientific › vertaisarvioitu

3 Sitaatiot (Scopus)

Abstrakti

In this study, a set of bistatic interferometric SAR images acquired by the TanDEM-X mission are used along with fully polarimetric ALOS PALSAR data for the assessment of tropical forest properties in Nepal.

Research to be presented at the conference concentrates on several scientific goals. First, location of interferometric scattering phase centre inside forest canopy is investigated using reference ALS measured canopy height model. Means for forest tree height extraction using both model based approaches (similar to Random Volume over Ground) and semi-empirical models are investigated and reported. It is shown, that forest tree height retrieval is possible with RMSE around 2.8 meters (R-2=0.68). Secondly, correlations between ALOS PALSAR and tropical forest data are analysed, and AGB estimation using fully polarimetric SAR features is performed. Several statistical and non-parametric methodologies were tested and compared. Thirdly, forest AGB estimation is done using both TanDEM-X based tree height and L-band PolSAR features using statistical inversion framework.

Alkuperäiskieli	Englanti
Otsikko	IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
Kustantaja	IEEE
Sivut	5334-5336
Sivumäärä	3
ISBN (elektroninen)	978-1-5386-7150-4
ISBN (painettu)	978-1-5386-7151-1
DOI - pysyväislinkit	https://doi.org/10.1109/IGARSS.2018.8519190
Tila	Julkaistu - 2018
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisuussa
Tapahtuma	International Geoscience and Remote Sensing Symposium - Valencia, Espanja Kesto: 22 heinäk. 2018 → 27 heinäk. 2018 Konferenssinumero: 38 https://www.igarss2018.org/

Julkaisusarja

Nimi	IEEE International Symposium on Geoscience and Remote Sensing IGARSS
Kustantaja	IEEE
ISSN (painettu)	2153-6996
ISSN (elektroninen)	2153-7003

Conference

Conference	International Geoscience and Remote Sensing Symposium
Lyhennettä	IGARSS
Maa/Alue	Espanja
Kaupunki	Valencia
Ajanjakso	22/07/2018 → 27/07/2018
www-osoite	https://www.igarss2018.org/

Pääsy asiakirjaan

10.1109/IGARSS.2018.8519190

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Koko teksti

Siteeraa tätä

Antropov, O., Rauste, Y., Tegel, K., Baral, Y., Junttila, V., Kauranne, T., Hame, T., & Praks, J. (2018). Tropical Forest Tree Height and Above Ground Biomass Mapping in Nepal Using Tandem-X and ALOS PALSAR Data. teoksessa IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium (Sivut 5334-5336). (IEEE International Symposium on Geoscience and Remote Sensing IGARSS). IEEE. https://doi.org/10.1109/IGARSS.2018.8519190

@inproceedings{377e53330b894c77bf5c26f027c51253,

title = "Tropical Forest Tree Height and Above Ground Biomass Mapping in Nepal Using Tandem-X and ALOS PALSAR Data",

abstract = "In this study, a set of bistatic interferometric SAR images acquired by the TanDEM-X mission are used along with fully polarimetric ALOS PALSAR data for the assessment of tropical forest properties in Nepal.Research to be presented at the conference concentrates on several scientific goals. First, location of interferometric scattering phase centre inside forest canopy is investigated using reference ALS measured canopy height model. Means for forest tree height extraction using both model based approaches (similar to Random Volume over Ground) and semi-empirical models are investigated and reported. It is shown, that forest tree height retrieval is possible with RMSE around 2.8 meters (R-2=0.68). Secondly, correlations between ALOS PALSAR and tropical forest data are analysed, and AGB estimation using fully polarimetric SAR features is performed. Several statistical and non-parametric methodologies were tested and compared. Thirdly, forest AGB estimation is done using both TanDEM-X based tree height and L-band PolSAR features using statistical inversion framework.",

keywords = "forest tree height, above ground biomass, random volume over ground, k nearest neighbors, TanDEM-X, ALOS PALSAR, LIDAR",

author = "Oleg Antropov and Yrjo Rauste and Katri Tegel and Yamuna Baral and Virpi Junttila and Tuomo Kauranne and Tuomas Hame and Jaan Praks",

year = "2018",

doi = "10.1109/IGARSS.2018.8519190",

language = "English",

isbn = "978-1-5386-7151-1",

series = "IEEE International Symposium on Geoscience and Remote Sensing IGARSS",

publisher = "IEEE",

pages = "5334--5336",

booktitle = "IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium",

address = "United States",

note = "International Geoscience and Remote Sensing Symposium, IGARSS ; Conference date: 22-07-2018 Through 27-07-2018",

url = "https://www.igarss2018.org/",

}

Antropov, O, Rauste, Y, Tegel, K, Baral, Y, Junttila, V, Kauranne, T, Hame, T & Praks, J 2018, Tropical Forest Tree Height and Above Ground Biomass Mapping in Nepal Using Tandem-X and ALOS PALSAR Data. julkaisussa IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE International Symposium on Geoscience and Remote Sensing IGARSS, IEEE, Sivut 5334-5336, International Geoscience and Remote Sensing Symposium, Valencia, Espanja, 22/07/2018. https://doi.org/10.1109/IGARSS.2018.8519190

Tropical Forest Tree Height and Above Ground Biomass Mapping in Nepal Using Tandem-X and ALOS PALSAR Data. / Antropov, Oleg; Rauste, Yrjo; Tegel, Katri et al.

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2018. s. 5334-5336 (IEEE International Symposium on Geoscience and Remote Sensing IGARSS).

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference contribution › Scientific › vertaisarvioitu

TY - GEN

T1 - Tropical Forest Tree Height and Above Ground Biomass Mapping in Nepal Using Tandem-X and ALOS PALSAR Data

AU - Antropov, Oleg

AU - Rauste, Yrjo

AU - Tegel, Katri

AU - Baral, Yamuna

AU - Junttila, Virpi

AU - Kauranne, Tuomo

AU - Hame, Tuomas

AU - Praks, Jaan

N1 - Conference code: 38

PY - 2018

Y1 - 2018

N2 - In this study, a set of bistatic interferometric SAR images acquired by the TanDEM-X mission are used along with fully polarimetric ALOS PALSAR data for the assessment of tropical forest properties in Nepal.Research to be presented at the conference concentrates on several scientific goals. First, location of interferometric scattering phase centre inside forest canopy is investigated using reference ALS measured canopy height model. Means for forest tree height extraction using both model based approaches (similar to Random Volume over Ground) and semi-empirical models are investigated and reported. It is shown, that forest tree height retrieval is possible with RMSE around 2.8 meters (R-2=0.68). Secondly, correlations between ALOS PALSAR and tropical forest data are analysed, and AGB estimation using fully polarimetric SAR features is performed. Several statistical and non-parametric methodologies were tested and compared. Thirdly, forest AGB estimation is done using both TanDEM-X based tree height and L-band PolSAR features using statistical inversion framework.

AB - In this study, a set of bistatic interferometric SAR images acquired by the TanDEM-X mission are used along with fully polarimetric ALOS PALSAR data for the assessment of tropical forest properties in Nepal.Research to be presented at the conference concentrates on several scientific goals. First, location of interferometric scattering phase centre inside forest canopy is investigated using reference ALS measured canopy height model. Means for forest tree height extraction using both model based approaches (similar to Random Volume over Ground) and semi-empirical models are investigated and reported. It is shown, that forest tree height retrieval is possible with RMSE around 2.8 meters (R-2=0.68). Secondly, correlations between ALOS PALSAR and tropical forest data are analysed, and AGB estimation using fully polarimetric SAR features is performed. Several statistical and non-parametric methodologies were tested and compared. Thirdly, forest AGB estimation is done using both TanDEM-X based tree height and L-band PolSAR features using statistical inversion framework.

KW - forest tree height

KW - above ground biomass

KW - random volume over ground

KW - k nearest neighbors

KW - TanDEM-X

KW - ALOS PALSAR

KW - LIDAR

U2 - 10.1109/IGARSS.2018.8519190

DO - 10.1109/IGARSS.2018.8519190

M3 - Conference contribution

SN - 978-1-5386-7151-1

T3 - IEEE International Symposium on Geoscience and Remote Sensing IGARSS

SP - 5334

EP - 5336

BT - IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium

PB - IEEE

T2 - International Geoscience and Remote Sensing Symposium

Y2 - 22 July 2018 through 27 July 2018

ER -

Antropov O, Rauste Y, Tegel K, Baral Y, Junttila V, Kauranne T et al. Tropical Forest Tree Height and Above Ground Biomass Mapping in Nepal Using Tandem-X and ALOS PALSAR Data. julkaisussa IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE. 2018. s. 5334-5336. (IEEE International Symposium on Geoscience and Remote Sensing IGARSS). doi: 10.1109/IGARSS.2018.8519190

Tropical Forest Tree Height and Above Ground Biomass Mapping in Nepal Using Tandem-X and ALOS PALSAR Data

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Julkaisusarja

Conference

Pääsy asiakirjaan

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