In: Wagner W., Székely, B. (eds.): ISPRS TC VII Symposium - 100 Years ISPRS, Vienna, Austria, July 5-7, 2010, IAPRS, Vol. XXXVIII, Part 7B
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ACTIVE AND PASSIVE MICROWAVE REMOTE SENSING OF SPRINGTIME NEAR
SURFACE SOIL THAW EVENTS AT MIDDLE LATITUDES
L. Han* 3 , A. Tsunekawa 3 , and M. Tsubo 3
3 Arid Land Research Center, Tottori University, 1390 Hamasaka, Tottori 680-0001, Japan
(han, tsunekawa, Tsubo)@alrc.tottori-u.ac.jp
Technical Commission VII Symposium 2010
KEY WORDS: Snow Ice; Soil; Application; Estimation; Algorithms; Radar; Passive
ABSTRACT:
Springtime near-surface soil thaw event is important for understanding the near-surface earth system. Previous researches based on
both active and passive microwave remote sensing technologies have paid scant attention, especially at middle latitudes where the
near-surface earth system has been changed substantially by climate change and human activities, and are characterized by more
complex climate and land surface conditions than the permafrost areas. SSM/I brightness temperature and QuikSCAT Ku-band
backscatter were applied in this study at a case study area of northern China and Mongolia in springtime of 2004. The soil freeze-
thaw algorithm was employed for SSM/I data, and a random sampling technique was applied to determine the brightness temperature
threshold for 37 GHz vertically polarized radiation: 258.2 and 260.1 K for the morning and evening satellite passes, respectively. A
multi-step method was proposed for QuikSCAT Ku-band backscatter based on both field observed soil thaw events and the typical
signature of radar backscatter time series when soil thaw event occurred. The method is mainly focuses on the estimated boundary of
thaw events and detection of primary thaw date. The passive microwave remote sensing (SSM/I) based result had a good relationship
with the near-surface soil temperature, while the active microwave remote sensing (QuikSCAT) based result had both relationships
with temperature and soil moisture conditions. And also, QuikSCAT result identifies the geographical boundary of water-drove thaw
event, which is crucial for understanding the different types of springtime near-surface soil thaw at middle latitudes.
1. INTRODUCTION
Near-surface soil freeze-thaw cycles have an important role in
earth systems and directly affect the terrestrial hydrological
cycle. Remote sensing provides an effective way for such event
detection, especially, the microwave remote sensing (Zhang, et
al., 2004). Microwave remote sensing based near-surface soil
thaw event detection at mid-latitudes where near-surface
changing seriously still rare (Han, et al., 2010). Generally, in
active microwave remote sensing, the thaw event was detected
based on the radar backscatter change which is responded to the
dielectric constant of the surface; and in passive microwave
remote sensing, the thaw event was detected based on the
brightness temperature’s increasing.
Scant attentions have paid in mid-latitude areas, which
suggested our objectives as follows: 1) to detect and validate
springtime soil thaw event by passive and active microwave
remote sensing data; 2) to understand the difference in the
results from active and passive microwave remote sensing data.
2. STUDY AREA
Our study area (Figure 1) lies between latitudes 31°N and 55°N
and longitudes 71°E and 136°E including different humidity
zones from arid to humid.
Figure 1. Study area
* Corresponding author