Previous wildfire risk assessments have problems such as subjectivity of weight allocation and the linearization statistical models, resulting in generally low robustness generalization ability fire assessment models. Therefore, this paper, we explored potential integration machine learning algorithms to build Based on analyzing data’s spatial temporal distribution, selected 10 triggering factors topography, meteorology, vegetation, human activities, using frequency ratio (FR) provide...

Being built on the reclamation area, Shanghai Pudong International Airport (SPIA) has been undergoing uneven subsidence since beginning of its operation in 1999. In order to explore evolution characteristics ground deformation SPIA area and further provide assurance for airport’s safe operation, 141 Sentinel-1A images from October 2016 September 2021 were selected acquire time-series observations by StaMPS PSI processing procedure. We subsequently a prediction model using Long Short Term...

• An fully convolutional network model for time-series SAR image processing. Pixel-level rice planting thematic mapping Fujin City. The precision of classification is 95.7% and the kappa coefficient 0.9. Backscattering coefficients provide reference indexes phenology monitoring. Polarization ratios strongly correlate with canopy structure. As core issues agricultural remote sensing, crop dynamic monitoring growth in urban area have always been limited by complex climatic conditions that...

Forest fire susceptibility mapping plays a crucial role in forest management and disaster prevention. However, existing research often neglects the selection of non-fire data during model construction, resulting limited prediction accuracy. To address this issue, we propose an innovative DBSCAN-DNN that optimizes to enhance precision. Using VIIRS GLC_FCS30D datasets, created spatial database for Xichang's dry seasons from 2012 2022, incorporating topography, meteorology, vegetation, human...

Early and accurate identification of landslide-prone areas is critical for monitoring early-warning systems, forming the foundation disaster prevention mitigation. However, current landslide susceptibility assessment methods often rely on arbitrary probability classification thresholds, leading to subjective regionally non-adaptive results that neglect low-susceptibility areas, thereby limiting their practical utility in management. To address these limitations, this study proposes a novel...

There are two problems with using global navigation satellite system-interferometric reflectometry (GNSS-IR) to retrieve the soil moisture content (SMC) from single-satellite data: difference between reflection regions, and difficulty in circumventing impact of seasonal vegetation growth on reflected microwave signals. This study presents a multivariate adaptive regression spline (MARS) SMC retrieval model based integrated multi-satellite data (VMC). The normalized index (NMRI) calculated...

Forest fire not only seriously affects the stability of forest ecosystem but also threatens safety human life and property. The previously burned areas extracting method mainly focuses on optical images, susceptible to cloud fog objective environmental factors. Although there are related studies threshold segmentation single SAR feature types, further information mining for image data, e.g., backscattering intensity, polarization decomposition, texture, other features, is still insufficient....

In recent years, many cities in the Chinese loess plateau (especially Shanxi province) have encountered ground subsidence problems due to construction of underground projects and exploitation resources. With completion world’s largest geotechnical project, called “mountain excavation city construction,” a collapsible area, Yan’an also appeared uneven subsidence. To obtain spatial distribution characteristics time-series evolution trend subsidence, we selected New District (YAND) as specific...

Compared with previous snow depth monitoring methods, global navigation satellite system-interferometric reflectometry (GNSS-IR) technology has the advantage of obtaining continuous daily observation data, and great application potential. However, since GNSS satellites are in motion, their position sky is constantly varying, Fresnel reflection areas about receiver different periods alter accordingly. As a result, retrieving results obtained from satellites, data sets collected periods,...

The characteristics of active fault movements are essential for estimating the earthquake potential on Tibetan Plateau (TP) in a complex geological setting. 2022 Menyuan Mw6.7 was studied by joint seismological and geodetic methodology to deepen scientific understanding source parameters deformation mechanisms. Firstly, entire InSAR co-seismic field is obtained based ascending descending Sentinel-1A imagery. Subsequently, Bayesian algorithm applied geometry slip distribution determination...

Background The cloud-penetrating and fog-penetrating capability of Synthetic Aperture Radar (SAR) give it the potential for application in forest fire progress monitoring; however, low extraction accuracy significant salt-and-pepper noise SAR remote sensing mapping burned area are problems.Aims This paper provides a method accurately extracting based on fully exploiting changes multiple different dimensional feature parameters dual-polarised images before after fire.Methods describes...

Affected by the surrounding environment of station and GPS satellite signal receiving conditions, there are significant fluctuations in snow depth retrieval results Global Positioning System Interferometric Reflection (GPS-IR) based on data acquired different trajectories or frequency bands, resulting loss accuracy reliability. Therefore, this contribution proposes a novel retrieving approach using time-series clustering (TSC) GPS-IR data. For improving adaptability algorithm to application...

Monitoring changes in glacial lake (GL) area is of great significance for revealing climate change and analyzing the risk GL outburst floods (GLOFs). However, case Southeastern Tibet Plateau (SETP), availability optical images high mountain areas low, Synthetic Aperture Radar (SAR) amplitude have significant geometric distortions. Most extraction studies are mainly focused on autumn winter seasons. In order to obtain accurate boundaries at any time capture seasonal GLs a wide area, this...

An emerging microwave remote sensing technology, global navigation satellite system interferometry reflectometry (GNSS-IR) shows excellent application potential in vegetation due to its all-weather and high temporal resolution characteristics. Previous studies for GNSS-IR have mainly concentrated on the Global Positioning System (GPS) SNR data.Because of similarity between GPS BDS (Beidou Navigation Satellite System), signal can also be impacted by vegetation, which however, has not been...

Global navigation satellite system interferometric reflectometry (GNSS-IR) represents an extra method to detect snow depth for climate research and water cycle managing. However, using a single frequency of GNSS-IR retrieval is often found be challenging when attempting achieve high spatial temporal sensitivity. To evaluate both the capability retrieved by multi-GNSS multi-frequency from signal-to-noise ratio (SNR) data, accuracy different signals analyzed, joint carried out combining...

The global positioning system interferometric reflectometry (GPS-IR) method has the advantage of acquiring observations continuously in all weather conditions, which great application potential vegetation remote sensing. However, L-band electromagnetic wave signals are susceptible to various environmental factors, resulting deviations GPS-IR observation data at certain times. accuracy and reliability index retrieving results challenging achieve by using single-frequency GPS data. This letter...