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Proceedings Paper

Locust habitats monitoring based on multi-temporal CCD data of HJ-1 satellite
Author(s): Jingjing Li; Jian Chen; Shijie Sheng
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Paper Abstract

The classification of locust habitats is one of the most important tasks in terms of the monitoring and controlling of the locusts damages. Taking the Bohai development zone in Hebei province as the study area, this paper generated firstly the 14 scenes of temporal NDVI data from January 31 to December 9, 2010 based on image preprocessing and NDVI calculation from HJ-1 satellites. And then the classification system was developed according to the characteristics of the study area and locust habitats, including dense reeds, sparse reeds, folder wasteland, grassland, crop1, crops2, alfalfa, orchard, soil, salt water, building and road. At last, this paper classified the locust habitats using decision tree method based on the multi-temporal NDVI data. Verification data collected through ground surveys and 14 scenes of temporal CCD data were used for assessing the accuracy of the classified results. The results showed that some surface features prone to misclassification in a single phase for they have similar spectral characteristics were easy to classify from multitemporal data because their different temporal signature.

Paper Details

Date Published: 8 December 2011
PDF: 8 pages
Proc. SPIE 8002, MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis, 80021H (8 December 2011); doi: 10.1117/12.902053
Show Author Affiliations
Jingjing Li, Nanjing Univ. of Information Science & Technology (China)
Jian Chen, Nanjing Univ. of Information Science & Technology (China)
Shijie Sheng, Nanjing Univ. of Information Science & Technology (China)


Published in SPIE Proceedings Vol. 8002:
MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis

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