研究報告
Liu K-H, Yang M-H, Huang S-T and Lin C.* 2022. Plant species classification based on hyperspectral imaging via a lightweight convolutional neural network model. Front. Plant Sci. 13:855660. (SCI, IF=5.753, Ranking 17/235 Plant Science) http://doi.org/10.3389/fpls.2022.855660
Yoshii, T.; Matsumura, N.; Lin, C*. 2022. Integrating UAV-SfM and Airborne Lidar Point Cloud Data to Plantation Forest Feature Extraction. Remote Sens. 2022, 14, 1379. (SCI, IF=4.848, Ranking 27/199 in Geoscience, Multidisciplinary) https://doi.org/10.3390/rs14071713.
Chinsu Lin*, Siao-En Ma, Li-Ping Huang, Chung-I Chen, Pei-Ting Lin, Zhih-Kai Yang, and Kuan-Ting Lin, 2021. Generating a baseline map of surface fuel loading using stratified random sampling inventory data through cokriging and multiple linear regression methods. Remote Sensing 13, 1561. (SCI, IF=4.509, Ranking 27/199 in Geoscience, Multidisciplinary) https://doi.org/10.3390/rs13081561.
Nova D. Doyog, Chinsu Lin*, Young Jin Lee, Roscinto Ian C. Lumbres, Bernard Peter O. Daipan, Derek C. Bayer, Christine P. Parian, 2021. Diagnosing pristine pine forest development through pansharpened-surface-reflectance Landsat images derived aboveground biomass productivity. Forest Ecology and Management 487, 119011. (SCI, IF=3.170, CiteScore=5.6, Ranking 5/68 Forestry) https://doi.org/10.1016/j.foreco.2021.119011.
Shih-Yu Chen, Chinsu Lin*, Guan-Jie Li, Yu-Chun Hsu, and Keng-Hao Liu, 2021. Hybrid Deep Learning Models with Sparse Enhancement Technique for Detection of Newly Grown Tree Leaves. Sensors, 21, 2077. https://doi.org/10.3390/s21062077. (SCI, IF=3.275, Ranking 15/64 Instrument & Instrumentation, 22/86 Chemistry, Analytical, 77/266 EEE)
Chinsu Lin*, Siao-En Ma, 2020. Mapping surface fuel loadings of forests using stratified random sampling and geostatistical analysis derived data. IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, Waikoloa, HI, USA, 2020, pp. 4638-4641, doi: 10.1109/IGARSS39084.2020.9324490. (2021/2/17 Indexed by IEEE Xplore) (EI)
Tatsuki Yoshii, Naoto Matsunura, Chinsu Lin*, 2020. Integrating UAV and lidar data for retrieving tree volume of hinoki forest. IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, Waikoloa, HI, USA, 2020, pp.4124-4127, doi: 10.1109/IGARSS39084.2020.9323219. (2021/2/17 Indexed by IEEE Xplore) (EI)
Chinsu Lin*, 2019. Improved derivation of forest stand canopy height structure using harmonized metrics of full-waveform data. Remote Sensing of Environment 235, 111436. http://doi.org/10.1016/j.rse.2019.111436. (SCI, IF=10.164, Ranking 12/274 in Environmental Science; 1/32 in Remote Sensing)
Buyan-Erdene Jamsran, Chinsu Lin*, Ishgaldan Byambakhuu, Jamsran Raash, Khaulenbek Akhmadi, 2019. Applying a support vector model to assess land cover changes in the Uvs Lake Basin ecoregion in Mongolia. Information Processing in Agriculture 6(1), 158-169. https://doi.org/10.1016/j.inpa.2018.07.007 (EI, IF=3.110, SiteScore=8.6, 9/385 in Scopus)
Chinsu Lin, 2018. Innovative Natural Resources Inventory Approaches, IUFRO News, vol 47, issue 1, page 2. September 2018.
Chinsu Lin*, Shih-Yu Chen, Chia-Chun Chen, Chia-Hui Tai, 2018. Detecting newly grown tree leaves from unmanned-aerial-vehicle images using hyperspectral target detection techniques. ISPRS Journal of Photogrammetry and Remote Sensing 142, 174-189. https://doi.org/10.1016/j.isprsjprs.2018.05.022 (SCI, IF=7.319, CiteScore=8.640, Ranking 1/50 Geography, Physical; 5/200 Geoscience, Multidiciplinary)
Chinsu Lin*, 2018. A generalized Logistic-Gaussian-Complex Signal Model for the restoration of canopy SWIR hytperspectral reflectance. Remote Sensing 10(7), 1062; https://doi.org/10.3390/rs10071062. (SCI, IF=4.848, Ranking 27/199 in Geoscience, Multidisciplinary; 9/30 in Remote Sensing)
Shih-Yu Chen, Chinsu Lin*, Chia-Hui Tai and Shang-Ju Chuang, 2018. Adaptive Window-Based Constrained Energy Minimization for Detection of Newly Grown Tree Leaves. Remote Sensing 10, 96:1-25. https://doi.org/10.3390/rs10010096. (SCI, IF=4.509, Ranking 9/30 in Remote Sensing)
Chinsu Lin*, Khongor Tsogt, Tsogt Zandraabal. 2016. A decompositional stand structure analysis for exploring stand dynamics of multiple attributes of a mixed-species forest. Forest Ecology and Management 378: 111-121. https://doi.org/10.1016/j.foreco.2016.07.022 (SCI, IF=3.064, Ranking 3/64 in Forestry)
Chinsu Lin*, Gavin Thomson, Sorin C. Popescu. 2016. An IPCC-Compliant Technique for Forest Carbon Stock Assessment Using Airborne LiDAR-Derived Tree Metrics and Competition Index. Remote Sensing 8: 528. https://doi.org/10.3390/rs8060528 (SCI, IF=4.848, Ranking 27/199 in Geoscience, Multidisciplinary; 9/30 in Remote Sensing)
Chinsu Lin*, Desi Trianingsih. 2016. Identifying forest ecosystem regions for agricultural use and conservation. Scientia Agricola, 70(1): 62-70. https://doi.org/10.1590/0103-9016-2014-0440 (SCI, IF=1.108, Ranking 18/56 in Agriculture, Multidisciplinary)
Chinsu Lin*, Chao-Cheng Wu, Khongor Tsogt, Yen-Chieh Ouyang, Chien-I Chang. 2015. Effects of Atmospheric Correction and Pansharpening on LULC Classification Accuracy using WorldView-2 Imagery. Information Processing in Agriculture 2: 25-36. (EI) https://doi.org/10.1016/j.inpa.2015.01.003
Lin, C.*, S. C. Popescu, S. C. Huang, P. T. Chang, H. L. Wen. 2015. A Novel Reflectance-based Model for Evaluating Chlorophyll Concentration of Fresh and Water-Stressed Leaves. Biogeosciences 12, 49–66, https://doi.org/10.5194/bg-12-49-2015 (SCI, IF=3.851, Ranking 20/188 in Geoscience, Multidisciplinary)
Tsu-Wei Chiu Huang, Chih-Cheng pai, Yang-Chu Chen, Keng-Hao Liu, Chinsu Lin, 2020. Detection of the erosion area of lotus leaf using hyperspectral imaging. International Computer Symposium (ICS 2020), Tainan, Taiwan. Dec. 17-19, 2020.
Wen-Tse Chiu, Cheng-Hsuan Lin, Ci-Lin Jhu, Chinsu Lin, Ying-Cheng Chen, Mei-Jing Huang, Wei-Min Liu, 2020. Semantic Segmentation of Lotus Leaves in UAV Aerial Images via U-Net and DeepLab-based Networks. International Computer Symposium (ICS 2020), Tainan, Taiwan. Dec. 17-19, 2020.
Tsu-Wei Chiu Huang, Chih-Cheng Pai, Yang-Chu Chen, Keng-Hao, Chinsu Lin, 2020. A preliminary study: detection of insect erosion area of lotus leaf using hyperspectral imaging techniques. CVGIP 2020: The 33th IPPR Conference on Computer Vision, Graphics, and Image Processing, Aug. 16-18, Hsinchu, Taiwan.
Wen-Tse Chiu, Chinsu Lin, Ying-Cheng Chen, Mei-Jing Huang, Wei-Min Liu, 2020. Semantic segmentation of lotus leaves in UAV aerial image via U-Net and Deeplab-based networks. CVGIP 2020: The 33th IPPR Conference on Computer Vision, Graphics, and Image Processing, Aug. 16-18, Hsinchu, Taiwan.
Cheng-Hsuan Lin, Pin-Hsiu Chen, Hsuan-Yu Shih, Chinsu Lin, Ying-Cheng Chen, Mei-Jing Huang, Wei-Min Liu, 2020. Automatic detection and counting of small yellow thrips on lotus leaf back based on deep learning. CVGIP 2020: The 33th IPPR Conference on Computer Vision, Graphics, and Image Processing, Aug. 16-18, Hsinchu, Taiwan.
Chinsu Lin, 2020. A remote sensing approach for estimating water-stress-irrelevant chlorophyll content using biased regression models. 科技部專題計畫成果發表會。Dec. 10, 2020. Tainan, Taiwan.
Chinsu Lin, 2019. The Harmonized Metrics Approach of Diagnosing Critical Canopy Height Signals in Large Footprint Full-Waveform Data — A Novel Technique of Space-borne Lidar Remote Sensing for Deriving Canopy Height Representatives and Stand Height Structure of Forests. The 2nd International Conference on Food, Environment, and Culture (ICFEC 2019), Baguio City, Philippine. Nov. 26-29, 2019.
Nova D. Doyog, Derek C. Bayer, Christine P. Parian, Roscinto Ian C. Lumbres, Bernard Peter O. Daipan, Chinsu Lin, Young Jin Lee, 2019. Effects of Atmospheric Correction and Pansharpening of Landsat 8 OLI & TIRS on AGB Estimation Accuracy. The 2nd International Conference on Food, Environment, and Culture (ICFEC 2019), Baguio City, Philippine. Nov. 26-29, 2019. (榮獲最佳論文獎首獎)
Tai-Wei Wang, Chinsu Lin*, Ya-Nan Wang, 2019. An Evaluation of the Potentials of Urban Forest in Reducing Carbon Emission: An Example of Taichung Wen-Xin Forest Park. SFEM2019, Hokaido, Japan. Aug. 27-29, 2019.
Hong-Kai Liao, Chinsu Lin*, 2019. Performance of linear and nonlinear kernel functions in object-based support vector machine for Yushan cane mapping through Landsat 8 image. SFEM2019, Hokaido, Japan. Aug. 27-29, 2019.
He-Xiang Zheng, Chinsu Lin*, 2019. An Investigation of Pine Wilt Disease Using High Resolution Ortho-rectified Bitmap Images. SFEM2019, Hokaido, Japan. Aug. 27-29, 2019.
Shin-Fu, Huang, He-Xiang Zheng, Chinsu Lin*, 2019. Rice Blast Mapping using Multi-temporal PlanetScope Satellite Images. SFEM2019, Hokaido, Japan. Aug. 27-29, 2019.
Chien-Yu Lin, Chinsu Lin*, 2019. Using ridge regression method to reduce estimation uncertainty in chlorophyll models based on worldview multispectral data. IGARSS2019, Yokohama, Japan. July 28-Aug 2, 2019.
Hong-Kai Liao, Chinsu Lin*, 2019. Exploring the changes of Yushania-cane-grassland distribution over the latest 30-year period in central Taiwan. ICEO&SI2019 Tainan, Taiwan. June 24-25, 2019. (Best Poster Presentation Award)
Chinsu Lin*, 2019. A way of linking resources of international forest societies to improving benefits of sustainable forest management. An International Seminar on Research Consortium for Asian Agri-Forest Resource Management. Tokyo, Japan, March 5-6, 2019.
Yuan-Yi Chi, Pei-Ting Lin, Chinsu Lin*, Yi-Chung Wang, 2019. Seasonal Changes of Hyperspectral Signals of Yushania Niitakayamensis in Taiwan. FORMATH 2019, Okinawa, Japan, March 7-8, 2019.
Pei-Ting Lin, Yuan-Yi Chi, Chinsu Lin*, 2019. A Supervised Classification of Forest Species Using Sentinel-2 Images. FORMATH 2019, Okinawa, Japan, March 7-8, 2019.
Chinsu Lin*, 2018. A novel effective chlorophyll indicator for forest monitoring using WorldView-3 multispectral reflectance. IGARSS 2018. July 22-27. Valencia, Spain.
Chien-Yu Lin, Chinsu Lin*, Chein-I Chang, 2018. A multilevel slicing-based coding method for tree detection. IGARSS 2018. July 22-27. Valencia, Spain.
Hsiao-En Ma, Chinsu Lin*, Pham Ngoc Hai, 2018. Applying an object-based SVM classifier to explore canopy closure of mangrove forest in the Mekong Delta using Sentinel-2 multispectral images. IGARSS 2018. July 22-27. Valencia, Spain.
Maryantika Norida, Chinsu Lin*, 2018. Analyzing land use land cover and deforestation in the REDD+ area, Central Kalimantan Province, Indonesia. IGARSS 2018. July 22-27. Valencia, Spain.
Maryantika Norida, Chinsu Lin*, 2018. Applying radiative transfer model to explore the signature variation of land cover in Mekong Delta. 2018 ICEO&SI Conference, July 1-3, Hsinchu. Taiwan.
Chien-Yu Lin, Chinsu Lin*, Chein-I Chang, 2018. Deriving Spatial and Aspatial Data of Individual Trees from UAV Very High-Resolution Images Using a Multilevel Slicing and Coding Algorithm. EGU 2018, April 8-13, 2018. Vienna, Austria.
Hsiao-En Ma, Chinsu Lin, Ya-Nan Wang, 2017. Simulation of Practical Patch-Cut Scenarios for Cryptomeria japonica Forest Management. SFEM 2017, Aug. 30-Sep. 1, 2017. Jeju, Korea. (獲評選為最佳口頭發表獎)
Jauhuan Tsai, Chinsu Lin, 2017. A Tentative Experiment of Deriving Forest Canopy Information using Sentinel-1 SAR and ALOS SAR Data. SFEM 2017, Aug. 30-Sep. 1, 2017. Jeju, Korea.
Chinsu Lin, 2017. Applying a Logistic-Gaussian complex signal model to restore surface hyperspectral reflectance of an old-growth tree species in cool temperate forest. IGARSS 2017, 23-28 July, 2017. Fort Worth, Texas, USA. (#2518)
Chinsu Lin, 2017. Deriving a distribution model of forest canopy height at stand level using ICESat GLAS full-waveform data. IGARSS 2017, 23-28 July, 2017. Fort Worth, Texas, USA. (#1540)
Chao-Cheng Wu, You-Lun Wu, Chung-Yu Wu, Chinsu Lin, 2017. A Gradient Vector Flow Snake Based Multi-Level Morphological Active Contour Algorithm. IGARSS 2017, 23-28 July, 2017. Fort Worth, Texas, USA. (#3346)
Chao-Cheng Wu, Shau-An Tsai, Hsuan-Tsung Chang, Chinsu Lin, 2017. Least Square Fitting of Pollock Model for Tree Detection and Crown Delineation. IGARSS 2017, 23-28 July, 2017. Fort Worth, Texas, USA. (#3284)
Norida Maryantika, Chinsu Lin, 2017. A Comparison of Image-Based Burned Area Detection Algorithms for Monitoring the Tropical Forest in Kalimantan Island. ICEO&SI 2017, 25-27, June, 2017. Ilan, Taiwan.
Buyan-Erdene Jamsran, Chinsu Lin, 2017, An Assessment of Forest Degradation for the Taiga Forest in the Mongolian Uvs Lake Basin Area. ICEO&SI 2017, 25-27, June, 2017. Ilan, Taiwan. (Poster Presentation Award)
Chinsu Lin, 2017. Applications of Geospatial Information Techniques on Forest Management. Pre-Seminar of FORMATH 2017 Hiroshima Symposium, Institute of Mathematical Statistics, Tokyo, Japan. Mar 13-14, 2017.
Chinsu Lin, 2017. Insight into the Technique of Decompositional Stand Structure Analysis in the Research of Forest Dynamics. FORMATH 2017 Hiroshima Symposium, Hiroshima Prefectural University, Hiroshima, Japan. Mar 16-17, 2017.
Chinsu Lin*, Ka-Lok Lo, Puo-Lin Huang. 2016. A classification method of unmanned-aerial-systems-derived point cloud for generating a canopy height model of farm forest. IGARSS 2016, 8-12 July, 2015. Beijing, China.
Jin-King Liu, Kuan-Tsung Chang, Chinsu Lin*, Liang-Cheng Chang, 2015. Accuracy Evaluation of ALOS DEM with airborne LiDAR data in southern Taiwan. IGARSS 2015, 26-31 July, 2015. Milan, Italy.
Chao-Cheng Wu, Yuan-Hsun Liao, Wei-Sheng Lo, Horng-Yuh Guo, Chinsu Lin*, Chia-Hisen Wen, Hsian-Min Chen, Yen-Chieh Ouyang, Chein-I Chang, 2015. Band Weighting Spectral Measurement for Detection of Pesticide Residues using hyperspectral remote sensing, IGARSS 2015. 26-31 July, 2015. Milan, Italy.
Shih-Yu Chen, Yen-Chieh Ouyang, Chinsu Lin, Hsian-Min Chen, Cheng Gao and Chein-I Chang, 2015. Progressive Endmember Finding by Fully Constrained Least Squares Method. IEEE WHISPERS 2015. 2-5 June, Tokyo, Japan.
Chinsu Lin, 2014. Forest Inventory using Spaceborne and Airborne LiDAR Data. 2014 KAGIS Fall Conference. Oct. 30 - Nov. 1, Jeju Island, Korea. (Oral presentation: Best Presenting Paper Award)
林金樹 (2018) 森林經營學理論釋義。ISBN: 9789571195964。五南圖書出版公司。台北台灣。522頁。[新書介紹]
林金樹 (2012) GIS概論與MajorGIS快速入門。ISBN: 986-150-066-9。新文京出版社。新北市台灣。472頁。