| Presentation | 2018-08-27 Abandoned Farmland Mapping Using Satellite Data and Machine Learning, and Abandonment Probability Modeling by Field and Geographical Factors Yohei Yamaguchi, Takashi Machimura, Takanori Matsui, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Farmland abandonment is quickly increasing in Japan, and it becomes concern on social, economic and environmental issues. In this study, abandoned farmland distribution in Ishikawa Prefecture, Japan was estimated by using satellite data and machine learning, and then a farmland abandonment probability model was constructed responding field and geographic factors. Multitemporal Landsat-8/OLI and ALOS-2/PALSAR-2 images together with the support vector machine (SVM) were used for the identification of abandoned farmland. The overall accuracy of the classifier was 92%. A logistic regression analysis showed field shape, irrigation, field slope, soil type and elevation are major factors promoting abandonment both in paddy and upland fields. The potential contribution of the model to regional policy making regarding farmland abandonment was demonstrated by a future prediction of farmland abandonment. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Landsat-8/OLI / ALOS-2/PALSAR-2 / support vector machine / mapping / Ishikawa Prefecture |
| Paper # | AI2018-24 |
| Date of Issue | 2018-08-20 (AI) |
| Conference Information | |
| Committee | AI |
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| Conference Date | 2018/8/27(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Tsunenori Mine(Kyushu Univ.) |
| Vice Chair | Daisuke Katagami(Tokyo Polytechnic Univ.) / Naoki Fukuta(Shizuoka Univ.) |
| Secretary | Daisuke Katagami(Ritsumeikan Univ.) / Naoki Fukuta(Univ. of Electro-Comm.) |
| Assistant | Yuko Sakurai(AIST) |
| Paper Information | |
| Registration To | Technical Committee on Artificial Intelligence and Knowledge-Based Processing |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Abandoned Farmland Mapping Using Satellite Data and Machine Learning, and Abandonment Probability Modeling by Field and Geographical Factors |
| Sub Title (in English) | |
| Keyword(1) | Landsat-8/OLI |
| Keyword(2) | ALOS-2/PALSAR-2 |
| Keyword(3) | support vector machine |
| Keyword(4) | mapping |
| Keyword(5) | Ishikawa Prefecture |
| 1st Author's Name | Yohei Yamaguchi |
| 1st Author's Affiliation | Osaka University(Osaka Univ.) |
| 2nd Author's Name | Takashi Machimura |
| 2nd Author's Affiliation | Osaka University(Osaka Univ.) |
| 3rd Author's Name | Takanori Matsui |
| 3rd Author's Affiliation | Osaka University(Osaka Univ.) |
| Date | 2018-08-27 |
| Paper # | AI2018-24 |
| Volume (vol) | vol.118 |
| Number (no) | AI-197 |
| Page | pp.pp.61-66(AI), |
| #Pages | 6 |
| Date of Issue | 2018-08-20 (AI) |