- 著者
- Truong Van Thinh Phan Cao Duong Kenlo Nishida Nasahara Takeo Tadono
- 出版者
- Meteorological Society of Japan
- 雑誌
- SOLA (ISSN:13496476)
- 巻号頁・発行日
- vol.15, pp.28-31, 2019 (Released:2019-02-11)
- 参考文献数
- 23
- 被引用文献数
- 12
A land use/land cover map is an important input for different applications. However, the accuracy of land cover maps remains a great uncertainty and mapping accuracy assessment is not well-documented. The objective of this paper is to examine the relationship between overall accuracy and the number of classification classes by conducting a literature review of land cover/land use studies. The results revealed a weak negative correlation between the map's accuracy and the number of classes. The paper suggests a decrease of 0.77% map's overall accuracy with respect to the increase of 1 land cover class. The average overall accuracy produced by 05 sensor types does not show the big difference. In addition, high spatial resolution sensor such as Airborne might not be always advantageous for producing high overall accuracy map since its accuracy depends on several factors including the number of land cover classes.
- 著者
- Shin NAGAI Shinpei YOSHITAKE Tomoharu INOUE Rikie SUZUKI Hiroyuki MURAOKA Kenlo Nishida NASAHARA Taku M SAITOH
- 出版者
- 日本農業気象学会
- 雑誌
- 農業気象 (ISSN:00218588)
- 巻号頁・発行日
- vol.70, no.3, pp.163-170, 2014 (Released:2014-09-10)
- 参考文献数
- 26
- 被引用文献数
- 6 10
Long-term continuous phenological observation of cherry tree blooming is an important and challenging task in the evaluation of year-to-year weather and climate changes in spring in Japan. Here, (1) we performed daily field observations with a time-lapse digital camera in a deciduous broad-leaved forest in Japan from January 2004 to December 2013; and (2) we detected year-to-year variations in the blooming phenology of Prunus sargentii by visual inspection of the images and by image analysis. We found that (1) the red digital numbers (i.e., the digital intensity values of the red pixels; DNR) extracted from the time-lapse digital camera images tended to peak in full bloom; and (2) the green excess index (GEI) (based on the red, green, and blue digital numbers) tended to be lowest in full bloom. These results indicate that DNR and GEI are useful for detecting the timing of full bloom in P. sargentii.