Advancement of Logging Detection Methodology Using ALOS-2/PALSAR-2 Data for Forest Cloud System-Reference-Cited by-同舟云学术

Advancement of Logging Detection Methodology Using ALOS-2/PALSAR-2 Data for Forest Cloud System

Published:2021-06-01 Issue:3 Volume:103 Page:215-223
ISSN:1349-8509
Container-title:Journal of the Japanese Forest Society
language:en
Short-container-title:J. Jpn. For. Soc.

Author:

Hayashi Masato¹^ORCID,Tadono Takeo¹,Ochiai Osamu¹,Hamamoto Ko¹,Hirayama Sota¹,Saito Hideki²,Takahashi Masayoshi²,Takao Gen²,Yamanobe Takashi³,Matsuura Kazushi³,Fukuda Kensuke³,Itoh Takuya⁴

Affiliation:

1. Japan Aerospace Exploration Agency

2. Forestry and Forest Products Research Institute

3. Ibaraki Prefectural Government

4. Remote Sensing Technology Center of Japan

Publisher

The Japanese Forest Society

Link

https://www.jstage.jst.go.jp/article/jjfs/103/3/103_215/_pdf

Reference30 articles.

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3. Bruzzone L, Prieto DF (2000) Automatic analysis of the difference image for unsupervised change detection. IEEE Trans Geosci Remote Sens 38(3): 1171-1182

4. Chollet F (2015) Keras. https://github.com/fchollet/keras (参照 2021-1-27)

5. Hansen MC, Krylov A, Tyukavina A, Potapov PV, Turubanova S, Zutta B, Ifo S, Margono B, Stolle F, Moore R (2016) Humid tropical forest disturbance alerts using Landsat data. Environ Res Lett 11(3): 034008

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