Dominant Species-Physiognomy-Ecological (DSPE) System for the Classification of Plant Ecological Communities from Remote Sensing Images by Ram C. Sharma

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Vegetation Structure Index (VSI): Retrieving Vegetation Structural Information from Multi-Angular Satellite Remote Sensing by Ram C. Sharma

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Genus-Physiognomy-Ecosystem (GPE) System for Satellite-Based Classification of Plant Communities by Ram C. Sharma

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Countrywide Mapping of Plant Ecological Communities with 101 Legends including Land Cover Types for the First Time at 10 m Resolution through Convolutional Learning of Satellite Im... by Ram C. Sharma

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An Ultra-Resolution Features Extraction Suite for Community-Level Vegetation Differentiation and Mapping at a Sub-Meter Resolution by Ram C. Sharma

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Characterization of Vegetation Physiognomic Types Using Bidirectional Reflectance Data by Ram C. Sharma, Keitarou Hara

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Self-Supervised Learning of Satellite-Derived Vegetation Indices for Clustering and Visualization of Vegetation Types by Ram C. Sharma, Keitarou Hara

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A Machine Learning and Cross-Validation Approach for the Discrimination of Vegetation Physiognomic Types Using Satellite Based Multispectral and Multitemporal Data by Ram C. Sharma, Keitarou Hara, Hidetake Hirayama

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High-Resolution Vegetation Mapping in Japan by Combining Sentinel-2 and Landsat 8 Based Multi-Temporal Datasets through Machine Learning and Cross-Validation Approach by Ram C. Sharma, Keitarou Hara, Ryutaro Tateishi

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Developing Forest Cover Composites through a Combination of Landsat-8 Optical and Sentinel-1 SAR Data for the Visualization and Extraction of Forested Areas by Ram C. Sharma, Keitarou Hara, Ryutaro Tateishi

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A Biophysical Image Compositing Technique for the Global-Scale Extraction and Mapping of Barren Lands by Ram C. Sharma, Ryutaro Tateishi, Keitarou Hara

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Production of the Japan 30-m Land Cover Map of 2013–2015 Using a Random Forests-Based Feature Optimization Approach by Ram C. Sharma, Ryutaro Tateishi, Keitarou Hara, Kotaro Iizuka

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Soil Moisture Mapping in an Arid Area Using a Land Unit Area (LUA) Sampling Approach and Geostatistical Interpolation Techniques by Saeid Gharechelou, Ryutaro Tateishi, Ram C. Sharma, Brian Alan Johnson

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Developing Superfine Water Index (SWI) for Global Water Cover Mapping Using MODIS Data by Ram C. Sharma, Ryutaro Tateishi, Keitarou Hara, Luong Viet Nguyen

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Multi-dimensional evaluation of response to salt stress in wheat. by Said Dadshani, Ram C Sharma, Michael Baum, Francis Chuks Ogbonnaya, Jens Léon, Agim Ballvora

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Land cover classification for Siberia leveraging diverse global land cover datasets by Munseon Beak, Kazuhito Ichii, Yuhei Yamamoto, Ruci Wang, Beichen Zhang, Ram C. Sharma, Tetsuya Hiyama

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Earthquake Damage Visualization (EDV) Technique for the Rapid Detection of Earthquake-Induced Damages Using SAR Data by Ram C. Sharma, Ryutaro Tateishi, Keitarou Hara, Hoan Thanh Nguyen, Saeid Gharechelou, Luong Viet Nguyen

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Erratum: Viet Nguyen, L., Tateishi, R., Kondoh, A., Sharma, R.C., Thanh Nguyen, H., Trong To, T. and Ho Tong Minh, D. (2016). Mapping Tropical Forest Biomass by Combining ALOS-2, L... by Luong Viet Nguyen, Ryutaro Tateishi, Akihiko Kondoh, Ram C. Sharma, Hoan Thanh Nguyen, Tu Trong To, Dinh Ho Tong Minh

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Mapping Tropical Forest Biomass by Combining ALOS-2, Landsat 8, and Field Plots Data by Luong Viet Nguyen, Ryutaro Tateishi, Akihiko Kondoh, Ram C. Sharma, Hoan Thanh Nguyen, Tu Trong To, Dinh Ho Tong Minh

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