Polinsar based scattering information retrieval for forest aboveground biomass estimation

Neeraj Agrawal, Shashi Kumar, V.A. Tolpekin

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Abstract

Forests play a crucial role in storing carbon and are of paramount importance in maintaining global carbon cycle. Assessment of forest biomass at regional and global level is vital for understanding and monitoring health of both tree species and entire cover. Changes in forest biomass are caused by human activities, natural factors and variations in climate. Forest biomass measurement is necessary for gauging the changes in forest ecosystems. Remote sensing is indispensable for mapping forest biophysical parameters. Microwaves are capable of collecting data even in case of cloud cover as the microwaves are of long wavelength. Microwaves help in retrieving scattering information of target. The goal of this research was to map aboveground biomass (AGB) over Barkot forest range in Dehradun, India. The current work focuses on the retrieval of PolInSAR based scattering information for the estimation of aboveground biomass. Radarsat-2 fully Polarimetric C-band data was used for the estimation of AGB in Barkot forest area. A semi-empirical model, which is Extended Water Cloud Model (EWCM) was utilized for AGB estimation. EWCM considers ground-stem interactions. Due to overestimation of volume scattering, polarization orientation angle shift correction was implemented on the PolInSAR pair. Field biomass data was utilized for accuracy assessment. The results show that coefficient of determination (R2) value of 0.47, Root Mean Square Error (RMSE) of 56.18 (t ha−1) and accuracy of 72% was obtained between modelled biomass against field measured biomass. Hence, it can be inferred from the obtained results that PolInSAR technique, in combination with semi-empirical modelling approach, can be implemented for estimating forest biomass.
Original languageEnglish
Title of host publicationThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Subtitle of host publicationISPRS Geospatial Week 2019
EditorsG. Vosselman, S.J. Oude Elberink, M.Y. Yang
Place of PublicationEnschede
PublisherInternational Society for Photogrammetry and Remote Sensing (ISPRS)
Pages1913-1920
Number of pages8
Volume42
Edition2/W13
DOIs
Publication statusPublished - 14 Jun 2019
Event4th ISPRS Geospatial Week 2019 - University of Twente, Enschede, Netherlands
Duration: 10 Jun 201914 Jun 2019
Conference number: 4
https://www.gsw2019.org/

Publication series

NameInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
PublisherCopernicus
ISSN (Print)1682-1750

Conference

Conference4th ISPRS Geospatial Week 2019
CountryNetherlands
CityEnschede
Period10/06/1914/06/19
Internet address

Fingerprint

aboveground biomass
scattering
biomass
cloud water
health monitoring
accuracy assessment
carbon cycle
cloud cover
forest ecosystem
human activity
polarization
stem
wavelength
remote sensing
carbon
climate
modeling
microwave

Keywords

  • ITC-GOLD

Cite this

Agrawal, N., Kumar, S., & Tolpekin, V. A. (2019). Polinsar based scattering information retrieval for forest aboveground biomass estimation. In G. Vosselman, S. J. Oude Elberink, & M. Y. Yang (Eds.), The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: ISPRS Geospatial Week 2019 (2/W13 ed., Vol. 42, pp. 1913-1920). (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). Enschede: International Society for Photogrammetry and Remote Sensing (ISPRS). https://doi.org/10.5194/isprs-archives-XLII-2-W13-1913-2019
Agrawal, Neeraj ; Kumar, Shashi ; Tolpekin, V.A. / Polinsar based scattering information retrieval for forest aboveground biomass estimation. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: ISPRS Geospatial Week 2019. editor / G. Vosselman ; S.J. Oude Elberink ; M.Y. Yang. Vol. 42 2/W13. ed. Enschede : International Society for Photogrammetry and Remote Sensing (ISPRS), 2019. pp. 1913-1920 (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives).
@inproceedings{109300d477814b9c9c94311862804920,
title = "Polinsar based scattering information retrieval for forest aboveground biomass estimation",
abstract = "Forests play a crucial role in storing carbon and are of paramount importance in maintaining global carbon cycle. Assessment of forest biomass at regional and global level is vital for understanding and monitoring health of both tree species and entire cover. Changes in forest biomass are caused by human activities, natural factors and variations in climate. Forest biomass measurement is necessary for gauging the changes in forest ecosystems. Remote sensing is indispensable for mapping forest biophysical parameters. Microwaves are capable of collecting data even in case of cloud cover as the microwaves are of long wavelength. Microwaves help in retrieving scattering information of target. The goal of this research was to map aboveground biomass (AGB) over Barkot forest range in Dehradun, India. The current work focuses on the retrieval of PolInSAR based scattering information for the estimation of aboveground biomass. Radarsat-2 fully Polarimetric C-band data was used for the estimation of AGB in Barkot forest area. A semi-empirical model, which is Extended Water Cloud Model (EWCM) was utilized for AGB estimation. EWCM considers ground-stem interactions. Due to overestimation of volume scattering, polarization orientation angle shift correction was implemented on the PolInSAR pair. Field biomass data was utilized for accuracy assessment. The results show that coefficient of determination (R2) value of 0.47, Root Mean Square Error (RMSE) of 56.18 (t ha−1) and accuracy of 72{\%} was obtained between modelled biomass against field measured biomass. Hence, it can be inferred from the obtained results that PolInSAR technique, in combination with semi-empirical modelling approach, can be implemented for estimating forest biomass.",
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Agrawal, N, Kumar, S & Tolpekin, VA 2019, Polinsar based scattering information retrieval for forest aboveground biomass estimation. in G Vosselman, SJ Oude Elberink & MY Yang (eds), The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: ISPRS Geospatial Week 2019. 2/W13 edn, vol. 42, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, International Society for Photogrammetry and Remote Sensing (ISPRS), Enschede, pp. 1913-1920, 4th ISPRS Geospatial Week 2019, Enschede, Netherlands, 10/06/19. https://doi.org/10.5194/isprs-archives-XLII-2-W13-1913-2019

Polinsar based scattering information retrieval for forest aboveground biomass estimation. / Agrawal, Neeraj; Kumar, Shashi; Tolpekin, V.A.

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: ISPRS Geospatial Week 2019. ed. / G. Vosselman; S.J. Oude Elberink; M.Y. Yang. Vol. 42 2/W13. ed. Enschede : International Society for Photogrammetry and Remote Sensing (ISPRS), 2019. p. 1913-1920 (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

TY - GEN

T1 - Polinsar based scattering information retrieval for forest aboveground biomass estimation

AU - Agrawal, Neeraj

AU - Kumar, Shashi

AU - Tolpekin, V.A.

PY - 2019/6/14

Y1 - 2019/6/14

N2 - Forests play a crucial role in storing carbon and are of paramount importance in maintaining global carbon cycle. Assessment of forest biomass at regional and global level is vital for understanding and monitoring health of both tree species and entire cover. Changes in forest biomass are caused by human activities, natural factors and variations in climate. Forest biomass measurement is necessary for gauging the changes in forest ecosystems. Remote sensing is indispensable for mapping forest biophysical parameters. Microwaves are capable of collecting data even in case of cloud cover as the microwaves are of long wavelength. Microwaves help in retrieving scattering information of target. The goal of this research was to map aboveground biomass (AGB) over Barkot forest range in Dehradun, India. The current work focuses on the retrieval of PolInSAR based scattering information for the estimation of aboveground biomass. Radarsat-2 fully Polarimetric C-band data was used for the estimation of AGB in Barkot forest area. A semi-empirical model, which is Extended Water Cloud Model (EWCM) was utilized for AGB estimation. EWCM considers ground-stem interactions. Due to overestimation of volume scattering, polarization orientation angle shift correction was implemented on the PolInSAR pair. Field biomass data was utilized for accuracy assessment. The results show that coefficient of determination (R2) value of 0.47, Root Mean Square Error (RMSE) of 56.18 (t ha−1) and accuracy of 72% was obtained between modelled biomass against field measured biomass. Hence, it can be inferred from the obtained results that PolInSAR technique, in combination with semi-empirical modelling approach, can be implemented for estimating forest biomass.

AB - Forests play a crucial role in storing carbon and are of paramount importance in maintaining global carbon cycle. Assessment of forest biomass at regional and global level is vital for understanding and monitoring health of both tree species and entire cover. Changes in forest biomass are caused by human activities, natural factors and variations in climate. Forest biomass measurement is necessary for gauging the changes in forest ecosystems. Remote sensing is indispensable for mapping forest biophysical parameters. Microwaves are capable of collecting data even in case of cloud cover as the microwaves are of long wavelength. Microwaves help in retrieving scattering information of target. The goal of this research was to map aboveground biomass (AGB) over Barkot forest range in Dehradun, India. The current work focuses on the retrieval of PolInSAR based scattering information for the estimation of aboveground biomass. Radarsat-2 fully Polarimetric C-band data was used for the estimation of AGB in Barkot forest area. A semi-empirical model, which is Extended Water Cloud Model (EWCM) was utilized for AGB estimation. EWCM considers ground-stem interactions. Due to overestimation of volume scattering, polarization orientation angle shift correction was implemented on the PolInSAR pair. Field biomass data was utilized for accuracy assessment. The results show that coefficient of determination (R2) value of 0.47, Root Mean Square Error (RMSE) of 56.18 (t ha−1) and accuracy of 72% was obtained between modelled biomass against field measured biomass. Hence, it can be inferred from the obtained results that PolInSAR technique, in combination with semi-empirical modelling approach, can be implemented for estimating forest biomass.

KW - ITC-GOLD

UR - https://ezproxy2.utwente.nl/login?url=https://library.itc.utwente.nl/login/2019/chap/tolpekin_pol.pdf

U2 - 10.5194/isprs-archives-XLII-2-W13-1913-2019

DO - 10.5194/isprs-archives-XLII-2-W13-1913-2019

M3 - Conference contribution

VL - 42

T3 - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

SP - 1913

EP - 1920

BT - The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

A2 - Vosselman, G.

A2 - Oude Elberink, S.J.

A2 - Yang, M.Y.

PB - International Society for Photogrammetry and Remote Sensing (ISPRS)

CY - Enschede

ER -

Agrawal N, Kumar S, Tolpekin VA. Polinsar based scattering information retrieval for forest aboveground biomass estimation. In Vosselman G, Oude Elberink SJ, Yang MY, editors, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: ISPRS Geospatial Week 2019. 2/W13 ed. Vol. 42. Enschede: International Society for Photogrammetry and Remote Sensing (ISPRS). 2019. p. 1913-1920. (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). https://doi.org/10.5194/isprs-archives-XLII-2-W13-1913-2019