AN OPTIMIZED REMOTE SENSING RECOGNITION APPROACH FOR STRAW BURNING IN HENAN PROVINCE, CHINA

نویسندگان

چکیده

Abstract. In the paper, Henan Province with prevalent straw burning was taken as study case. Aimed at remote sensing recognition of fire points in a large-scale area complex terrain and climate conditions, an optimized strategy proposed based on MOD021KM data. our new strategy, threshold determination method optimised by systematic statistical analysis spectral features. Then non-straw were eliminated extracting agricultural land from MCD12Q1 image. Thus, true straw-burning determined. The results showed that accuracy effectively improved method.

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ژورنال

عنوان ژورنال: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

سال: 2022

ISSN: ['1682-1777', '1682-1750', '2194-9034']

DOI: https://doi.org/10.5194/isprs-archives-xliii-b3-2022-127-2022