Forest damage detection using high resolution remotely sensed data

Hitoshi Taguchi, Yuichiro Usuda, Hiromichi Fukui, Tomoyuki Furutani, Kuniaki Furukawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Abandoned forests are increasing in Japan. In abandoned forest, falling and withering of trees may occur easily. Increase of these damaging of forests are troubling the forest administrators who have to keep identifying these damaged areas. However, identification is now implemented by means of direct ground surveying, which is difficult to grasp the damaged areas in the wide forest. Therefore, high spatial resolution remotely sensed imagery and digital surface models (DSM) are anticipated as a cutting-edge solution for supporting the field of forestry. In this study, we develop a forest damage detection method using high resolution remotely sensed imagery and DSM. Multinomial logit model is introduced for classifying the fallen areas and withered tree areas. The logit model is a simple statistical technique that is designed to analyze categorical data. Multinomial logit model can classify multiple categories (more than 3 categories). Explaining variables are (1) Gap areas extracted by DSM and (2) Spectral radiances of remotely sensed imagery. Dependent variables are no damage and damaged area (i.e. fallen area and withered tree area). Forest of Gifu prefecture is chosen as the test site, where a number of forest damages caused by deep snow and Pine beetle are observed every year. IKONOS imagery and LiDAR DSM are used for evaluation. It is confirmed that the multinomial logit model generates higher accuracies for 3 categories. Moreover not only large but also scattered damaged areas are detected.

Original languageEnglish
Title of host publicationAsian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005
Pages1764-1767
Number of pages4
Volume3
Publication statusPublished - 2005
Event26th Asian Conference on Remote Sensing, ACRS 2005 and 2nd Asian Space Conference, ASC - Ha Noi, Viet Nam
Duration: 2005 Nov 72005 Nov 11

Other

Other26th Asian Conference on Remote Sensing, ACRS 2005 and 2nd Asian Space Conference, ASC
CountryViet Nam
CityHa Noi
Period05/11/705/11/11

Fingerprint

Damage detection
Forestry
Surveying
Snow

Keywords

  • Digital surface model
  • Forest damage
  • High resolution data
  • Multinomial logit model
  • Remotely sensed imagery

ASJC Scopus subject areas

  • Aerospace Engineering

Cite this

Taguchi, H., Usuda, Y., Fukui, H., Furutani, T., & Furukawa, K. (2005). Forest damage detection using high resolution remotely sensed data. In Asian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005 (Vol. 3, pp. 1764-1767)

Forest damage detection using high resolution remotely sensed data. / Taguchi, Hitoshi; Usuda, Yuichiro; Fukui, Hiromichi; Furutani, Tomoyuki; Furukawa, Kuniaki.

Asian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005. Vol. 3 2005. p. 1764-1767.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Taguchi, H, Usuda, Y, Fukui, H, Furutani, T & Furukawa, K 2005, Forest damage detection using high resolution remotely sensed data. in Asian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005. vol. 3, pp. 1764-1767, 26th Asian Conference on Remote Sensing, ACRS 2005 and 2nd Asian Space Conference, ASC, Ha Noi, Viet Nam, 05/11/7.
Taguchi H, Usuda Y, Fukui H, Furutani T, Furukawa K. Forest damage detection using high resolution remotely sensed data. In Asian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005. Vol. 3. 2005. p. 1764-1767
Taguchi, Hitoshi ; Usuda, Yuichiro ; Fukui, Hiromichi ; Furutani, Tomoyuki ; Furukawa, Kuniaki. / Forest damage detection using high resolution remotely sensed data. Asian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005. Vol. 3 2005. pp. 1764-1767
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