Distribution prediction of moisture content of dead fuel on the forest floor of Maoershan national forest, China using a LoRa wireless network

Author:

Peng Bo,Zhang Jiawei,Xing Jian,Liu Jiuqing

Publisher

Springer Science and Business Media LLC

Subject

Forestry

Reference31 articles.

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2. Ferguson SA, Ruthford JE, McKay SJ, Wright D, Wright C, Ottmr R (2002) Measuring moisture dynamics to predict fire severity in longleaf pine forests. Int J Wildl and Fire 11(4):267–279

3. Han BF, Liu YB, Zhang C, Chen YW, Ma R, Ma F (2014) Changes of microclimate and relation between microclimate and soil water under different ecological restoration measures in typical steppe of south Ningxia. J Agric Sci 35(04):8–13 (In Chinese)

4. Hu HQ, Luo SS, Luo BZ, Su ZW, Wei SJ, Sun L (2017) Forest fuel moisture content and its prediction mode. World for Res 30(3):64–69 (In Chinese)

5. Hu HQ, Luo BZ, Luo SS, Wang ZS, Su ZW, Wei SJ (2018) The prediction of moisture content of surface ground fuel of typical forest stand in Daxing’anling mountains. J Central South Univ for Technol 38(11):1–9 (In Chinese)

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