Remote-Sensing Technologies and Data Processing Algorithms - New Ecoinformatics Tools in Environmental Science: Applications and Decision-making - page 165

Fig. 2.20 Spectral dependence of peat emissivity coef cient under weighed moisture: 1 — 45 %

(marker of measurement data is circle); 2 — 53 % (marker of measurement data is triangle);

3 — 78 % (marker of measurement data is square)

Fig. 2.21 Spectral
characteristics of slash re
(chain line), peat bog (solid
line), and sphagnous bog
(dotted line) in dynamics of
drying and moistening: 1 —
during rainfall; 2 — after
heavy rainfall; and 3 — 2 days
later rainfall

activity and classifying geophysical structures in areas where geothermal sources are
active. In such areas the water content of rocks is insigni cant and, hence, the depth of

electromagnetic wave spread is increased to equal the inverse value of the absorption
coef

cient per unit of depth z. Multi-channel measurements based on use of the
microwave range use and application of GIMS technology allow soils to be
reliably classi ed and thermal situations mapped. Figure 2.23 demonstrates

the map of Tolbachik volkano zone (Ostry Tolbachik — 55 ° 57 ′ N, 160 ° 25 ′ E;