###### Abstract
[PERSON] modeled the expected daily surface reflectance of each urban pixel in Aleppo and Damascus, Syria, based on the stability and radiative consistency of the Landsat series of optical satellite constellations, combined with their historical archive data, and evaluated the urban building damage in Syria during the conflict [12]. In addition, nighttime light (NTL) can also reflect the impact of armed conflict on human social life to some extent. In the early stage, the Defense Meteorological Satellite Program's Operational Linescan System (DMSP-OLS) was often used to monitor major events occurring in human social life [13]. [PERSON] et al. applied the change of nighttime lighting area during the Syrian crisis for a long time and concluded that there was a linear relationship between the loss of nighttime light and the number of lost population, and confirmed the effectiveness of NTL in monitoring humanitarian crisis [14]. In recent years, the Visible Infrared Imaging Radiometer Suite (VIIRS) sensor on the National Polar-orbiting Partnership (NPP) satellite has become a new source for monitoring light at night, and it can provide better quality data [15], and these data were used in the Russia-Ukraine conflict in 2022 for war action interpretation, socio-economic assessment and refugee population monitoring [16; 17; 18]. However, optical sensors are usually restricted by environmental factors such as weather, climate and day and night. Especially during the conflict, smoke from burning ground fuels severely blocks the propagation of visible light. Synthetic aperture radar (SAR) provides a new perspective of observing the ground using a microwave. The advantage of all-sky and all-weather makes up for the deficiency of optical sensors affected by observation conditions [19]. [PERSON], [PERSON] et al. used the change of SAR intensity and texture analysis of optical images to detect the damage level of buildings in the Kiev area during the Russia-Ukraine conflict, achieving a detection accuracy of 58% [20]. [PERSON] et al. used Sentinel-1 to monitor the coherent changes of natural and man-made disasters occurring in Syria, Iran and other regions, and combined land use type data and coherent map standard deviation to reveal the changes in building damage at street level [21]. Inaddition, Interferometric Synthetic Aperture Radar (InSAR) technology also provides a more real-time and repeated continuous observation scheme for post-war urban destruction mapping and damage assessment [22; 23]. With the development of the Internet and social networks, more and more researchers have noticed the importance of remote sensing images assisted by different sources and multi-view images for earth observation [24]. Optical remote sensing images can be combined with low-altitude aerial photography images and ground reconnaissance images, which have been successful in monitoring the destruction of cultural relics and monuments in parts of Iraq and Syria during the ISIS occupation [25]. The combination of time series NTL and social media big data also has great potential in monitoring and understanding crisis development and refugee flows because both are sensitive indicators of economic and human capital loss, and big data and remote sensing data sets have the potential value of providing classified and timely data for conflicts that lack official statistics [26]. In previous studies, the burning areas in armed conflict are usually based on the band combination of multi-spectral satellites containing infrared bands and observed by human eyes, which is highly subjective and tedious work. Moreover, the detection of ground object damage changes caused by conflicts is usually unable to reach an accurate conclusion due to the lack of effective and timely information references. Therefore, in this study, we designed a semi-automated framework for detecting burning areas in conflict and building damage changes by combining multi-source medium-resolution satellite data with open-source Internet information.