In this paper, an Urban Light Index (ULI) is constructed to facilitate analysis and quantitative evaluation of the process urbanization expansion rate by using DMSP/OLS Nighttime Data during years from 1992 2010. A unit circle model established perform a comprehensive 34 prefecture-level cities in Northeast China. Furthermore, concept urban light space put forward. study, divided into four types: core area, transition zone between suburban areas, area fluorescent space. Proceeding temporal...

Vegetation is the main component of terrestrial ecosystem and plays a key role in global climate change. Remotely sensed vegetation indices are widely used to detect trends at large scales. To understand cover, this research examined spatial-temporal by employing normalized difference index (NDVI) from Advanced Very High Resolution Radiometer (AVHRR) Global Inventory Modeling Mapping Studies (GIMMS) time series (1982–2015). Ten samples were selected test temporal trend NDVI, results show...

Carbon dioxide (CO(2)) is the most important greenhouse gas (GHG) in atmosphere and greatest contributor to global warming. CO(2) concentration data are usually obtained from ground observation stations or a small number of satellites. Because limited observations short time series satellite data, it difficult monitor concentrations on regional scales for long time. The use remote sensing such as Advanced Very High Resolution Radiometer (AVHRR) Moderate Imaging Spectroradiometer (MODIS) can...

Understanding the degree to which weather factors influence fire occurrence is crucial for managing wildfires because China's recent rigorous prevention measures have made drivers distinct from those in other nations. This study first examined features of mainland China order provide an explanation. We used 38,158 confirmed 2005 2021 and a partial least squares (PLS) regression model correlation analysis (PCA) investigate element more important driving wildfire each twelve ecoregions China....

The CO2 emission factor is the basis for analyzing vehicle emissions. This study establishes a correlation model between fuel and mileage-based using consumption data, then analyzes situation of vehicles in Beijing with established models. main research conclusions are as follows: proposed models effective urban Cars can only meet national standard limit when traveling at an average speed 42.17 km/h. During rush hours, most cities China exceeds standards, making it urgent to improve traffic...

The biomass burning model (BBM) has been the most widely used method for estimation of trace gas emissions. Due to difficulty and variability in obtaining various necessary parameters BBM, a new is needed quickly accurately calculate emissions from wildfires. Here, we satellite data Orbiting Carbon Observatory-2 (OCO-2) CO2 wildfires (the OCO-2 model). Four active Siberia were selected which points intersecting with smoke plumes identified by Aqua MODIS (MODerate-resolution Imaging...

As population ages, ensuring that the elderly get their due rights has become a common concern of scholars in many fields. However, as an important public service facility daily life elderly, research on equity urban parks is mostly based evaluation accessibility. The elderly's access to services been rarely discussed from perspective supply and demand balance. In context concept spatial equity, we used main city Harbin case study, actual travel mode was considered evaluation, adopted...

Abstract This study uses a multiple linear regression method to composite standard Normalized Difference Vegetation Index (NDVI) time series (1982-2009) consisting of three kinds satellite NDVI data (AVHRR, SPOT, and MODIS). dataset was combined with climate land cover maps analyze growing season (June September) trends in northeast Asia. In combination zones, changes that are influenced by factors were also evaluated. revealed the vegetation arid, western regions Asia is strongly...

Choices regarding mode of travel have an evident effect on environment pollutants and public health. This paper makes a significant contribution by examining the differences between low-carbon non-low-carbon choices during shopping trips, how socio-economic characteristics impact individual behavior based data gathered from questionnaire conducted in Shenyang, China. The study found that, firstly, modes were more common than for shopping, average distance was little longer that modes....

Understanding the drivers of wildfire occurrence is great value for fire prevention and management, but due to variation in research methods, data sources, resolution those studies, it challenging conduct a large-scale comprehensive comparative qualitative analysis on topic. China has diverse vegetation types topography, undergone rapid economic social development, experiences high frequency wildfires, making one ideal locations research. We applied Random Forests modelling approach explore...

Studying the spatiotemporal distribution characteristics of territorial space development intensity (TSDI) and its habitat quality (HQ) response is substantial theoretical practical significance to optimize regional patterns coordinate relationship between eco-environmental protection. This study establishes a comprehensive assessment model across various aspects, including land, population, economy, input, assess TSDI each county in Northeast China. We used Integrated Valuation Ecosystem...

Fires greatly threaten the grassland ecosystem, human life, and economic development. However, since limited research focuses on fire prediction, it is necessary to find a better method predict probability of grassland-fire occurrence. Multiple environmental variables impact After selecting natural based remote sensing data anthropogenic variables, we built regression models probability, taking into account historical points in Inner Mongolia. We arrived at three methods identify drivers...

Accurate estimates of aboveground biomass (AGB) are valuable for monitoring forest degradation and carbon stocks on Earth. However, the validity multiple data types diverse combinations AGB estimation is unclear. In this study, recursive feature elimination (RFE) combined with machine-learning regression models were developed using field multi-source remote sensing data, which included Sentinel-1, Sentinel-2, PALSAR, DEM. The spatial distribution was mapped Daxing'anling region in...

Developed by Japan, the Greenhouse Gases Observing Satellite (GOSAT), also known as IBUKI, was successfully launched on 23 January 2009 to monitor greenhouse gases Earth's surface. Observations started in April 2009, and data Levels 1, 2 3 products became available general users November February 2010 October 2010, respectively. For this article, Kriging method proposed generate spatial distribution of daily GOSAT XCO2 XCH4 within region East Asia from June May 2010. The relationship between...

This paper describes the long-term effects on vegetation following catastrophic fire in 1987 northern Great Xing’an Mountain by analyzing AVHRR GIMMS 15-day composite normalized difference index (NDVI) dataset. Both temporal and spatial characteristics were analyzed for natural regeneration tree planting scenarios from 1984 to 2006. Regressing post-fire NDVI values pre-fire helped identify burnt pixels stands. Stand differences damage classified into five levels: Very High (VH), (H),...

Solar-induced chlorophyll fluorescence (SIF) is a novel approach to gain information about plant activity from remote sensing observations. However, there are currently no continuous SIF data produced at high spatial resolutions. Many previous studies have discussed the relationship between and gross primary production (GPP) showed significant correlation them, but few researchers focused on forests, which one most important terrestrial ecosystems. This study takes Greater Khingan Mountains,...

Abstract Accurate assessment of postfire vegetation recovery is important for forest management and the conservation species diversity. Topography an factor affecting but whether composition varies with different stages between valleys slopes unclear. Using field data a space-for-time substitution method, we quantified richness diversity to obtain successional trajectories slopes. We surveyed 10 burned areas from 1986 2010 in Greater Khingan Mountains northeastern China, found that...