Earticle

초록

영어

In order to study the difference in lake water area derived from satellite images with different resolutions, the lake distribution maps with 30 m, 250 m and 500 m spatial resolution were derived from HJ-1A/B and MODIS data acquired in the same period. It is showed that the area estimates derived from both 250 m MODIS and 500 m MODIS have strong correlations with those derived from HJ-1A/B data for lakes with area larger than 10 km2. And 500 m MODIS data can get nearly the same estimates as 250 m MODIS data. For further analysis of the difference in lake water area, those lakes were divided into three groups according to the shape indices of lake water body, which were calculated with the results extracted from HJ-1A/B imagery. Taking HJ-1A/B lake maps as reference, it is found that the error of estimates from MODIS data increases when the lake area decreases and the shape complexity increases.

목차

Abstract
 1. Introduction
 2. Data and Study Area
 3. Methods
  3.1. Lake Water Body Mapping with HJ-1A/B Imagery
  3.2. Lake Water Body Mapping with MODIS Imagery
  3.3. Shape Index Calculation for Lake Surface
 4. Results and Discussion
  4.1. Lake Water area Derived from HJ-1A/B and MODIS
  4.2. Effects of Water Body Shape and Spatial Resolution on Lake Water Area Extraction
 5. Summary and Conclusion
 Acknowledgments
 References

키워드

저자

• Rong Xu [ School of Computer Science and Engineering, Chongqing Three Gorges University, Chongqing 404000, China ]
• Zengxiang Zhang [ Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China ]
• Feifei Sun [ Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China ]
• Qingke Wen [ Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China ]
• Fang Liu [ Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605