Mapping forest disturbance using long time series of Sentinel-1 data

Case studies over boreal and tropical forests

Oleg Antropov, Yrjö Rauste, Anne Väänänen, Teemu Mutanen, Tuomas Häme

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

4 Citations (Scopus)

Abstract

Clear-cutting and logging operations are the most drastic and wide-spread changes that affects the hydrological and carbon-balance properties of forested areas. A long time series of Sentinel-1 images are used to study the potential for mapping logged areas in areas in boreal zone region and in tropical forest. In the first case study in southern Finland, the time series covered a full year starting in October 2014, in 200km-by-200-km study site. The Sentinel-1 images were acquired in Interferometric Wide-swath (IW), dualpolarized mode (VV+VH). All scenes were acquired in the same orbit configuration. In the second case study the potential of Sentinel-1 time series for mapping logged areas was studied over tropical forest in Mexico. Acquisitions were made in the time frame between November 2014 and September 2015. The temporal behavior of the C-band backscatter was studied for areas representing: 1) areas clear-cut during the acquisition of the Sentinel-1 time-series, 2) areas remaining forest during the acquisition of the Sentinel-1 time-series, and 3) areas that had been clear-cut before the acquisition of the Sentinel-1 time-series. Algorithms for mapping the spatial extent of logged areas were developed and tested, showing potential of long time series of Sentinel-1 data for successful delineation of clear-cuts despite high sensitivity to seasonal and weather conditions.
Original languageEnglish
Title of host publicationGeoscience and Remote Sensing Symposium (IGARSS), 2016 IEEE International
PublisherInstitute of Electrical and Electronic Engineers IEEE
Pages3906 - 3909
ISBN (Electronic)978-1-5090-3332-4, 978-1-5090-3331-7
ISBN (Print)978-1-5090-3333-1
DOIs
Publication statusPublished - 3 Nov 2016
MoE publication typeA4 Article in a conference publication
Event36th IEEE International Geoscience and Remote Sensing Symposium: Advancing the understanding of our living planet - Beijing, China
Duration: 10 Jul 201615 Jul 2016
Conference number: 36

Publication series

Name
ISSN (Electronic)2153-7003

Conference

Conference36th IEEE International Geoscience and Remote Sensing Symposium
Abbreviated titleIGARSS
CountryChina
CityBeijing
Period10/07/1615/07/16

Fingerprint

boreal forest
tropical forest
time series
disturbance
carbon balance
clearcutting
backscatter

Keywords

  • C-band
  • forestry
  • selective logging
  • sentinel-1
  • synthetic aperture radar

Cite this

Antropov, O., Rauste, Y., Väänänen, A., Mutanen, T., & Häme, T. (2016). Mapping forest disturbance using long time series of Sentinel-1 data: Case studies over boreal and tropical forests. In Geoscience and Remote Sensing Symposium (IGARSS), 2016 IEEE International (pp. 3906 - 3909). Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/IGARSS.2016.7730014
Antropov, Oleg ; Rauste, Yrjö ; Väänänen, Anne ; Mutanen, Teemu ; Häme, Tuomas. / Mapping forest disturbance using long time series of Sentinel-1 data : Case studies over boreal and tropical forests. Geoscience and Remote Sensing Symposium (IGARSS), 2016 IEEE International. Institute of Electrical and Electronic Engineers IEEE, 2016. pp. 3906 - 3909
@inproceedings{265db9672cd14e28bdf52d4a8c8b5cd4,
title = "Mapping forest disturbance using long time series of Sentinel-1 data: Case studies over boreal and tropical forests",
abstract = "Clear-cutting and logging operations are the most drastic and wide-spread changes that affects the hydrological and carbon-balance properties of forested areas. A long time series of Sentinel-1 images are used to study the potential for mapping logged areas in areas in boreal zone region and in tropical forest. In the first case study in southern Finland, the time series covered a full year starting in October 2014, in 200km-by-200-km study site. The Sentinel-1 images were acquired in Interferometric Wide-swath (IW), dualpolarized mode (VV+VH). All scenes were acquired in the same orbit configuration. In the second case study the potential of Sentinel-1 time series for mapping logged areas was studied over tropical forest in Mexico. Acquisitions were made in the time frame between November 2014 and September 2015. The temporal behavior of the C-band backscatter was studied for areas representing: 1) areas clear-cut during the acquisition of the Sentinel-1 time-series, 2) areas remaining forest during the acquisition of the Sentinel-1 time-series, and 3) areas that had been clear-cut before the acquisition of the Sentinel-1 time-series. Algorithms for mapping the spatial extent of logged areas were developed and tested, showing potential of long time series of Sentinel-1 data for successful delineation of clear-cuts despite high sensitivity to seasonal and weather conditions.",
keywords = "C-band, forestry, selective logging, sentinel-1, synthetic aperture radar",
author = "Oleg Antropov and Yrj{\"o} Rauste and Anne V{\"a}{\"a}n{\"a}nen and Teemu Mutanen and Tuomas H{\"a}me",
year = "2016",
month = "11",
day = "3",
doi = "10.1109/IGARSS.2016.7730014",
language = "English",
isbn = "978-1-5090-3333-1",
publisher = "Institute of Electrical and Electronic Engineers IEEE",
pages = "3906 -- 3909",
booktitle = "Geoscience and Remote Sensing Symposium (IGARSS), 2016 IEEE International",
address = "United States",

}

Antropov, O, Rauste, Y, Väänänen, A, Mutanen, T & Häme, T 2016, Mapping forest disturbance using long time series of Sentinel-1 data: Case studies over boreal and tropical forests. in Geoscience and Remote Sensing Symposium (IGARSS), 2016 IEEE International. Institute of Electrical and Electronic Engineers IEEE, pp. 3906 - 3909, 36th IEEE International Geoscience and Remote Sensing Symposium, Beijing, China, 10/07/16. https://doi.org/10.1109/IGARSS.2016.7730014

Mapping forest disturbance using long time series of Sentinel-1 data : Case studies over boreal and tropical forests. / Antropov, Oleg; Rauste, Yrjö; Väänänen, Anne; Mutanen, Teemu; Häme, Tuomas.

Geoscience and Remote Sensing Symposium (IGARSS), 2016 IEEE International. Institute of Electrical and Electronic Engineers IEEE, 2016. p. 3906 - 3909.

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

TY - GEN

T1 - Mapping forest disturbance using long time series of Sentinel-1 data

T2 - Case studies over boreal and tropical forests

AU - Antropov, Oleg

AU - Rauste, Yrjö

AU - Väänänen, Anne

AU - Mutanen, Teemu

AU - Häme, Tuomas

PY - 2016/11/3

Y1 - 2016/11/3

N2 - Clear-cutting and logging operations are the most drastic and wide-spread changes that affects the hydrological and carbon-balance properties of forested areas. A long time series of Sentinel-1 images are used to study the potential for mapping logged areas in areas in boreal zone region and in tropical forest. In the first case study in southern Finland, the time series covered a full year starting in October 2014, in 200km-by-200-km study site. The Sentinel-1 images were acquired in Interferometric Wide-swath (IW), dualpolarized mode (VV+VH). All scenes were acquired in the same orbit configuration. In the second case study the potential of Sentinel-1 time series for mapping logged areas was studied over tropical forest in Mexico. Acquisitions were made in the time frame between November 2014 and September 2015. The temporal behavior of the C-band backscatter was studied for areas representing: 1) areas clear-cut during the acquisition of the Sentinel-1 time-series, 2) areas remaining forest during the acquisition of the Sentinel-1 time-series, and 3) areas that had been clear-cut before the acquisition of the Sentinel-1 time-series. Algorithms for mapping the spatial extent of logged areas were developed and tested, showing potential of long time series of Sentinel-1 data for successful delineation of clear-cuts despite high sensitivity to seasonal and weather conditions.

AB - Clear-cutting and logging operations are the most drastic and wide-spread changes that affects the hydrological and carbon-balance properties of forested areas. A long time series of Sentinel-1 images are used to study the potential for mapping logged areas in areas in boreal zone region and in tropical forest. In the first case study in southern Finland, the time series covered a full year starting in October 2014, in 200km-by-200-km study site. The Sentinel-1 images were acquired in Interferometric Wide-swath (IW), dualpolarized mode (VV+VH). All scenes were acquired in the same orbit configuration. In the second case study the potential of Sentinel-1 time series for mapping logged areas was studied over tropical forest in Mexico. Acquisitions were made in the time frame between November 2014 and September 2015. The temporal behavior of the C-band backscatter was studied for areas representing: 1) areas clear-cut during the acquisition of the Sentinel-1 time-series, 2) areas remaining forest during the acquisition of the Sentinel-1 time-series, and 3) areas that had been clear-cut before the acquisition of the Sentinel-1 time-series. Algorithms for mapping the spatial extent of logged areas were developed and tested, showing potential of long time series of Sentinel-1 data for successful delineation of clear-cuts despite high sensitivity to seasonal and weather conditions.

KW - C-band

KW - forestry

KW - selective logging

KW - sentinel-1

KW - synthetic aperture radar

U2 - 10.1109/IGARSS.2016.7730014

DO - 10.1109/IGARSS.2016.7730014

M3 - Conference article in proceedings

SN - 978-1-5090-3333-1

SP - 3906

EP - 3909

BT - Geoscience and Remote Sensing Symposium (IGARSS), 2016 IEEE International

PB - Institute of Electrical and Electronic Engineers IEEE

ER -

Antropov O, Rauste Y, Väänänen A, Mutanen T, Häme T. Mapping forest disturbance using long time series of Sentinel-1 data: Case studies over boreal and tropical forests. In Geoscience and Remote Sensing Symposium (IGARSS), 2016 IEEE International. Institute of Electrical and Electronic Engineers IEEE. 2016. p. 3906 - 3909 https://doi.org/10.1109/IGARSS.2016.7730014