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Journal Article

Citation

Qiao ZY, Fang L, Zhang YN, Yang J, Jiang T, Yuan H. Ying Yong Sheng Tai Xue Bao 2020; 31(1): 55-64.

Vernacular Title

2001—2017年我国森林火灾时空分布特征.

Affiliation

Shen-yang University, Shenyang 110044, China.

Copyright

(Copyright © 2020, Ying yong sheng tai xue bao bian ji wei yuan hui)

DOI

10.13287/j.1001-9332.202001.015

PMID

31957380

Abstract

The remotely sensed burned area (BA) products can provide continuous and spatiotemporally explicit characteristics of fire patches, which are critical data sources for understanding regional fire regimes. However, their accuracy remains to be improved. In this study, a global BA product (i.e., CCI_Fire) at 250 m resolution was integrated with global forest change (GFC) product at 30 m to generate a refined BA product, named CCI_GFC product, whose accuracy was evaluated through comparing the BA with pre-existing fire patches data. To reveal the characteristics of forest fire in China between 2001 and 2017, we conducted a grid analysis at 0.05°×0.05° spatial resolution based on the refined BA product and the spatial pattern of eco-regions at the macro scale. The results showed that the accuracy metrics including the recognition rate (RR), variance explained (R2), root mean squared error (RMSE), mean absolute percentage error (MAPE) of the CCI_GFC product (i.e., 83%, 0.91, 0.28, and 8.5% respectively) were all superior to the CCI_Fire product (i.e., 74%, 0.86, 0.36, and 11.8% respectively) and the MCD64A1 product (i.e., 35%, 0.78, 0.48, and 17.3% respectively). The total burned area of forest was approximately 12.11 million hm2 for the whole country from 2001 to 2017, while the annual burned area temporally decreased. Forest fires in China were dominated by the low-frequency [0

Language: zh


基于遥感的过火面积产品可提供连续、时空特征明确的火斑信息,是研究区域尺度森林火灾分布特征的重要数据来源,但精度仍有待改进。本研究结合250 m全球过火面积产品(CCI_Fire)和30 m全球森林变化(GFC)产品,通过数据整合获取改进后的森林火斑产品(CCI_GFC),并运用已有火斑数据对CCI_GFC产品进行精度验证;结合我国宏观生态区划与网格化(0.05°×0.05°)分析,利用改进后产品对2001--2017年间全国林火特征进行分析。结果表明: CCI_GFC产品的火斑识别率(RR)、变异解释量(R2)、均方根误差(RMSE)、均方绝对百分比误差(MAPE)等精度指标(分别为83%、0.91、0.28、8.5%)均优于原始CCI_Fire产品(分别为74%、0.86、0.36、11.8%)和MCD64A1产品(分别为35%、0.78、0.48、17.3%)。2001--2017年,全国总森林过火面积约为1211万hm2,年过火面积呈显著下降趋势;低(0<森林过火面积比例BFR≤40%)火烧频率区为主,占总过火区域的79%,中(40%

Language: zh

Keywords

burned area product; forest fire; remote sensing; seasonality; spatial distribution; trend analysis

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