Experimental study of fire risk by means of passive microwave and infrared remote sensing methods

Microwave radiometry of vegetation canopies

“…It was found that an additional error of soil moisture retrieval due to the presence of the forest canopies does not exceed 0.06 g/cm 3 . The paper by Milshin and Grankov (2000) provides a review of microwave radiometric measurements over forests performed in the former Soviet Union and Russia (Kirdiashev et al, 1979;Baturin et al, 1985;Liberman et al, 1995Liberman et al, , 1996Milshin et al, 1999;Kosolapov and Kozoderov, 1994;Ambarnikov and Elagin, 1989;Grankov et al, 1992). The experimental data on the forest emissivity and brightness temperature are presented in Table 7.1.…”

Generalised fuzzy aggregation in estimating the risk of desertification of a burned forest

“…In particular, we are interested in ranking burned forests in order of risk of desertification. There is a lot of work done on mapping and monitoring forest areas [1] [24] [8] [7] [17], assessment of vegetation change [18], fire risk assessment [22] [9] [15] and restoration of burned areas and vegetation recovery [3] [33] [25] [16]. Although the above approaches use traditional Remote Sensing and GIS techniques for spatial data integration, there are plenty of other examples where uncertainty in the available information is taken into consideration.…”