Haruo Sawada
University of Tokyo
48 Papers
351 Citations
Haruo Sawada is an academic researcher from University of Tokyo. The author has contributed to research in topics: Quercus serrata & Lidar. The author has an hindex of 15, co-authored 47 publications.
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Papers
Five-year study on the autumn food habits of the Asiatic black bear in relation to nut production
TL;DR: The significance of alternative foods for black bears in relation to food tree diversity in the forest and the necessity for long-term studies examining the food habits of Asiatic black bears are discussed.
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Impact of altitude and topography on the genetic diversity of Quercus serrata populations in the Chichibu Mountains, central Japan
TL;DR: It is suggested that altitude is not always a useful variable when estimating the genetic diversity of plant populations in mountainous regions, and that genetic diversity can vary even among the undifferentiated Plant populations in small areas like the Chichibu Mountains.
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PALSAR 50 m Mosaic Data Based National Level Biomass Estimation in Cambodia for Implementation of REDD+ Mechanism
TL;DR: PALSAR estimated AGB show good results in deciduous forests because of less saturation as compared to dense evergreen forests and AGB map of Cambodian forests could be useful for the implementation of forest management practices for REDD+ assessment and policies implementation at the national level.
Full polarimetric PALSAR-based land cover monitoring in Cambodia for implementation of REDD policies
TL;DR: High accuracy of classification in a forested area using full polarimetric PALSAR data may have been because of high penetration of L-band SAR.
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Landslide susceptibility zonation study using remote sensing and GIS technology in the Ken-Betwa River Link area, India
Ram Avtar,Ram Avtar,Chander Kumar Singh,Gulab Singh,R. L. Verma,Saumitra Mukherjee,Haruo Sawada +6 more
TL;DR: In this article, the landslide susceptibility zonation map of the river link has been assessed using remote sensing data in GIS and various thematic maps such as geology, land use/land cover, lineament, drainage, slope, aspect, normalized difference vegetation index and soil type were generated from the Landsat Thematic Mapper 5 satellite data of 2005, the Survey of India topographic sheets, Shuttle Radar Topographic Mission Digital Elevation (SRTM-DEM) data and other existing maps.
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