Monitoring wildfire using high-resolution compact X-band dual-polarization radar: A case study in southern China

2019 ◽  
Vol 225 ◽  
pp. 165-171
Author(s):  
Zhaoming Li ◽  
Haonan Chen ◽  
Hongxing Chu ◽  
V. Chandrasekar ◽  
Hongbin Chen ◽  
...  
Atmosphere ◽  
2017 ◽  
Vol 9 (1) ◽  
pp. 4 ◽  
Author(s):  
Zhao Shi ◽  
Haonan Chen ◽  
Venkatachalam Chandrasekar ◽  
Jianxin He

2013 ◽  
Vol 20 (2) ◽  
pp. 97-108 ◽  
Author(s):  
R. Linck ◽  
T. Busche ◽  
S. Buckreuss ◽  
J. W. E. Fassbinder ◽  
S. Seren

2010 ◽  
Vol 394 (1-2) ◽  
pp. 4-16 ◽  
Author(s):  
Marios N. Anagnostou ◽  
John Kalogiros ◽  
Emmanouil N. Anagnostou ◽  
Michele Tarolli ◽  
Anastasios Papadopoulos ◽  
...  

Author(s):  
S. Mirzaee ◽  
M. Motagh ◽  
H. Arefi ◽  
A. Nooryazdan

Remote sensing plays a key role in monitoring and assessing environmental changes. Because of its special imaging characteristics such as high-resolution, capabilities to obtain data in all weather conditions and sensitivity to geometrical and dielectric properties of the features, Synthetic Aperture Radar (SAR) technology has become a powerful technique to detect small scale changes related to earth surface.SAR images contain the information of both phase and intensity in different modes like single, dual and full polarimetric states which are important in order to extract information about various targets. In this study we investigate phenological changes in an agricultural region using high-resolution X-band SAR data. The case study is located in Doroud region of Lorestan province, west of Iran. The purpose is to investigate the ability of copolar and interferometric coherence extracted from TanDEM-X dual polarimetry (HH/VV) in bistatic StripMap mode for tracking the phenological changes of crops during growing season. The data include 11 images acquired between 12.06.2012 and 02.11.2012 and 6 images acquired between 30.05.2013 and 04.08.2013 in the CoSSC format. Results show that copolar coherence is almost able to follow phenological changes but interferometric coherence has a near constant behaviour with fluctuations mainly related to baseline variations.


2011 ◽  
Vol 15 (3) ◽  
pp. 859-875 ◽  
Author(s):  
F. S. Marzano ◽  
S. Mori ◽  
M. Chini ◽  
L. Pulvirenti ◽  
N. Pierdicca ◽  
...  

Abstract. X-band Synthetic Aperture Radars (X-SARs), able to image the Earth's surface at metric resolution, may provide a unique opportunity to measure rainfall over land with spatial resolution of about few hundred meters, due to the atmospheric moving-target degradation effects. This capability has become very appealing due to the recent launch of several X-SAR satellites, even though several remote sensing issues are still open. This work is devoted to: (i) explore the potential of X-band high-resolution detection and retrieval of rainfall fields from space using X-SAR signal backscattering amplitude and interferometric phase; (ii) evaluate the effects of spatial resolution degradation by precipitation and inhomogeneous beam filling when comparing to other satellite-based sensors. Our X-SAR analysis of precipitation effects has been carried out using both a TerraSAR-X (TSX) case study of Hurricane "Gustav" in 2008 over Mississippi (USA) and a COSMO-SkyMed (CSK) X-SAR case study of orographic rainfall over Central Italy in 2009. For the TSX case study the near-surface rain rate has been retrieved from the normalized radar cross section by means of a modified regression empirical algorithm (MREA). A relatively simple method to account for the geometric effect of X-SAR observation on estimated rainfall rate and first-order volumetric effects has been developed and applied. The TSX-retrieved rain fields have been compared to those estimated from the Next Generation Weather Radar (NEXRAD) in Mobile (AL, USA). The rainfall detection capability of X-SAR has been tested on the CSK case study using the repeat-pass coherence response and qualitatively comparing its signature with ground-based Mt. Midia C-band radar in central Italy. A numerical simulator to represent the effect of the spatial resolution and the antenna pattern of TRMM satellite Precipitation Radar (PR) and Microwave Imager (TMI), using high-resolution TSX-retrieved rain images, has been also set up in order to evaluate the rainfall beam filling phenomenon. As expected, the spatial average can modify the statistics of the high-resolution precipitation fields, strongly reducing its dynamics in a way non-linearly dependent on the rain rate local average value.


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