Temperature vegetation dryness index (TVDI) and crop water stress (CWSI) are two commonly used remote sensing-based agricultural drought indicators. This study explored the applicability of monthly moderate resolution imaging spectroradiometer (MODIS) normalized difference (NDVI) land surface temperature (LST) data for monitoring in Guanzhong Plain, China 2003. The were processed using TVDI, calculated by parameterizing relationship between MODIS NDVI LST data. We compared effectiveness TVDI...

The occurrence of drought is related to complicated interactions between many factors, such as precipitation, temperature, evapotranspiration and vegetation. In this study, the relationships vegetation were investigated with a random forest (RF), new combined monitoring index (CDMI) was constructed. effectiveness CDMI in Shaanxi Province verified by situ 1 ∼ 12-month standardized precipitation (SPI); relative soil moisture (RSM) four other commonly used remote sensing indices. results show...

To achieve the goal of worldwide sustainable protection and utilization terrestrial ecosystems, it is necessary to quantitatively assess implementation Sustainable Development Goal 15 (SDG 15) at all administrative levels, especially grass-roots level, using indicator framework UN SDGs. However, in SDG system, relationship between indicators ambiguous, results cannot be visualized show differences within regions. Moreover, its design scale country-oriented, which suggests that system applied...

Recently, numerous remote sensing applications highly depend on the hyperspectral image (HSI). HSI classification, as a fundamental issue, has attracted increasing attention and become hot topic in community. We implemented regularized convolutional neural network (CNN), which adopted dropout regularization strategies to address overfitting problem of limited training samples. Although many kinds literature have confirmed that it is an effective way for classification integrate spectrum with...

To enhance the mechanical properties and cost-effectiveness of conventional polyvinyl alcohol fiber reinforced strain hardening cementitious composite (PVA-SHCC), a modified version called multiscale hybrid SHCC (MsHySHCC) was developed. This new incorporates combination steel fiber, PVA calcium carbonate (CaCO 3 ) whisker. Uniaxial direct tensile behaviors (stress-strain relationship, strength, deformation capacity toughness) designed MsHySHCCs were investigated evaluated. The results show...

We present SkyReels-A1, a simple yet effective framework built upon video diffusion Transformer to facilitate portrait image animation. Existing methodologies still encounter issues, including identity distortion, background instability, and unrealistic facial dynamics, particularly in head-only animation scenarios. Besides, extending accommodate diverse body proportions usually leads visual inconsistencies or unnatural articulations. To address these challenges, SkyReels-A1 capitalizes on...

Abstract This paper introduces a multi‐scale feature fusion deep learning network method for industrial process fault diagnosis based on spatio‐temporal capsules and classifier optimization. In the extraction phase, residual convolution is initially employed to extract features. Subsequently, identified features are forwarded capsule further information related time space. After completed, we replace traditional softmax with eXtreme Gradient Boosting (XGBoost) make final more efficient...

The dynamic topology of low Earth orbit (LEO) satellite networks and variable traffic load in different coverage areas pose special challenges to routing algorithm design the phase network dimensioning. In this paper, a compact explicit multi-path (CEMR) is proposed. new can support balancing with lower signal overhead compared traditional or MPLS through PathID encoding scheme. A validating also given guarantee loop free packet forwarding during transition time interval. Results from...

The contradiction between the supply and demand of public medical resources in China is serious. On basis “graded diagnosis treatment” model, Chinese government divides grade adjusts allocation facilities so as to alleviate adverse impact these issues on residents’ health. Although tries guide treatment according level facilities, there are differences mode policy rules reality. Therefore, it great significance explore spatial accessibility services for residents actual behavior. This...

In order to assess the progress of SDG sub-target 9.1 at county level, indicator 9.1.1 (rural access index) and 9.1.2 (passenger freight volumes) were implemented in Deqing County, China explore fitness-for-purpose these indicators for level evaluations. It is found that country-oriented system has some localization problems cannot fully reflect connotation when used level. An improved was built by modifying adding three more (namely road density, accessibility, total postal business). The...

Vegetation phenology is highly sensitive to climate change, and the phenological responses of vegetation factors vary over time space. Research on in different climatic regimes will help clarify key affecting changes. In this paper, based a time-series reconstruction Moderate-Resolution Imaging Spectroradiometer (MODIS) normalized difference index (NDVI) data using Savitzky–Golay filtering method, parameters were extracted, Spatio-temporal changes from 2001 2016 analyzed. Moreover, response...

This study aims to propose an agricultural drought prediction model based on D-vine copula quantile regression considering several factors related occurrence mechanisms in China. The proposed is applied for short-term (represented by 1-month time scale of the standardized soil moisture index (SSI-1)) considered antecedent SSI-3), real-time rainfall Standardized Precipitation Index (SPI-1)) and vegetation cover Normalized Difference Vegetation (NDVI)) monthly data from Climate Change...

With the continuous expansion of industrial production scale, most chemical process variables are nonlinear, multi-modal and dynamic. For some traditional multivariate statistical monitoring fault diagnosis algorithms, such as principal component analysis (PCA), premise its application is that data time-independent. To this end, a dynamic (DPCA) method proposed. However, since input matrix DPCA needs to add an augmented original matrix, number eigenvalues too large there many redundant...

Research on the identification of urban functional regions is great significance for understanding structure, spatial planning, resource allocation, and promoting sustainable development. However, achieving high-precision region recognition has always been a research challenge in this field. For purpose, paper proposes an method called ASOE (activity–scene–object–economy), which integrates features from multi-source data to perceive differentiation human geographic elements. First, we...

The variation of soil moisture (SM) is a complex and synthetic process, which impacted by numerous factors. effects these factors on are dynamic. As result, the relationship between explanatory variables varies with time season. This kind change should be considered in obtaining fine spatial resolution products. We chose study area four distinct seasons temperate monsoon region. In this research, we established seasonal downscaling models to avoid influence differences. Precipitation, land...

Emergency department crowding is an obstacle in the process of obtaining emergency care services, which will lead to increase time cost. Most studies focused on direct access medical resources, and few took hospital as evaluation index reflect convenience resources. It a significance for identification areas with insufficient service resources this method.This paper utilizes improved potential model inverted Two-Step Floating Catchment Area method, combined network map API data evaluate...

In order to improve the operational efficiency of medical institutions and build a more complete efficient system, Chinese government is vigorously promoting reform hierarchical diagnosis treatment. We constructed multi-factor composite selection weight characterize residents’ treatment behavior in context By combining with two-step floating catchment area method, we analyzed spatial variation characteristics accessibility care under different scenarios. Results show that referral rate...