Plantation Mapping in Southeast Asia
Plantation mapping is important for understanding deforestation and climate change. While most existing plantation products are created manually, in this paper we study an ensemble learning based framework for automatically mapping plantations in southern Kalimantan on a yearly scale using remote se...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2019-12-01
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| Series: | Frontiers in Big Data |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/article/10.3389/fdata.2019.00046/full |
| _version_ | 1818601585202167808 |
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| author | Xiaowei Jia Ankush Khandelwal Kimberly Carlson James S. Gerber Paul C. West Vipin Kumar |
| author_facet | Xiaowei Jia Ankush Khandelwal Kimberly Carlson James S. Gerber Paul C. West Vipin Kumar |
| author_sort | Xiaowei Jia |
| collection | DOAJ |
| description | Plantation mapping is important for understanding deforestation and climate change. While most existing plantation products are created manually, in this paper we study an ensemble learning based framework for automatically mapping plantations in southern Kalimantan on a yearly scale using remote sensing data. We study the effectiveness of several components in this framework, including class aggregation, data sampling, learning model selection and post-processing, by comparing with multiple baselines. In addition, we analyze the quality of our plantation mapping product by visual examination of high resolution images. We also compare our method to existing manually labeled plantation datasets and show that our method can achieve a better balance of precision (i.e., user's accuracy) and recall (i.e., producer's accuracy). |
| first_indexed | 2024-12-16T12:53:43Z |
| format | Article |
| id | doaj.art-7e10050c3dab4c9b9a2882c0fa5d8dad |
| institution | Directory Open Access Journal |
| issn | 2624-909X |
| language | English |
| last_indexed | 2024-12-16T12:53:43Z |
| publishDate | 2019-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Big Data |
| spelling | doaj.art-7e10050c3dab4c9b9a2882c0fa5d8dad2022-12-21T22:31:04ZengFrontiers Media S.A.Frontiers in Big Data2624-909X2019-12-01210.3389/fdata.2019.00046460443Plantation Mapping in Southeast AsiaXiaowei Jia0Ankush Khandelwal1Kimberly Carlson2James S. Gerber3Paul C. West4Vipin Kumar5Department of Computer Science and Engineering, University of Minnesota – Twin Cities, Minneapolis, MN, United StatesDepartment of Computer Science and Engineering, University of Minnesota – Twin Cities, Minneapolis, MN, United StatesDepartment of Natural Resources and Environmental Management, University of Hawai'i Manoa, Honolulu, HI, United StatesInstitute on the Environment, University of Minnesota – Twin Cities, St. Paul, MN, United StatesInstitute on the Environment, University of Minnesota – Twin Cities, St. Paul, MN, United StatesDepartment of Computer Science and Engineering, University of Minnesota – Twin Cities, Minneapolis, MN, United StatesPlantation mapping is important for understanding deforestation and climate change. While most existing plantation products are created manually, in this paper we study an ensemble learning based framework for automatically mapping plantations in southern Kalimantan on a yearly scale using remote sensing data. We study the effectiveness of several components in this framework, including class aggregation, data sampling, learning model selection and post-processing, by comparing with multiple baselines. In addition, we analyze the quality of our plantation mapping product by visual examination of high resolution images. We also compare our method to existing manually labeled plantation datasets and show that our method can achieve a better balance of precision (i.e., user's accuracy) and recall (i.e., producer's accuracy).https://www.frontiersin.org/article/10.3389/fdata.2019.00046/fullremote sensingplantationdeep learningdeforestationensemble learning |
| spellingShingle | Xiaowei Jia Ankush Khandelwal Kimberly Carlson James S. Gerber Paul C. West Vipin Kumar Plantation Mapping in Southeast Asia Frontiers in Big Data remote sensing plantation deep learning deforestation ensemble learning |
| title | Plantation Mapping in Southeast Asia |
| title_full | Plantation Mapping in Southeast Asia |
| title_fullStr | Plantation Mapping in Southeast Asia |
| title_full_unstemmed | Plantation Mapping in Southeast Asia |
| title_short | Plantation Mapping in Southeast Asia |
| title_sort | plantation mapping in southeast asia |
| topic | remote sensing plantation deep learning deforestation ensemble learning |
| url | https://www.frontiersin.org/article/10.3389/fdata.2019.00046/full |
| work_keys_str_mv | AT xiaoweijia plantationmappinginsoutheastasia AT ankushkhandelwal plantationmappinginsoutheastasia AT kimberlycarlson plantationmappinginsoutheastasia AT jamessgerber plantationmappinginsoutheastasia AT paulcwest plantationmappinginsoutheastasia AT vipinkumar plantationmappinginsoutheastasia |