Plant invasion imposes significant threats to biodiversity and ecosystem function. Thus, monitoring the spatial pattern of invasive plants is vital for effective management. Spartina alterniflora (S. alterniflora) has been one most prevalent along China coast, its spread had severe ecological consequences. Here, we provide new observation from Landsat operational land imager (OLI) images. Specifically, 43 Landsat-8 OLI images 2014 2016, a combination object-based image analysis (OBIA)...

Accurate forest above-ground biomass (AGB) is crucial for sustaining management and mitigating climate change to support REDD+ (reducing emissions from deforestation degradation, plus the sustainable of forests, conservation enhancement carbon stocks) processes. Recently launched Sentinel imagery offers a new opportunity AGB mapping monitoring. In this study, texture characteristics backscatter coefficients Sentinel-1, in addition multispectral bands, vegetation indices, biophysical...

Accurate forest above-ground biomass (AGB) mapping is crucial for sustaining management and carbon cycle tracking. The Shuttle Radar Topographic Mission (SRTM) Sentinel satellite series offer opportunities AGB monitoring. In this study, predictors filtered from 121 variables Sentinel-1 synthetic aperture radar (SAR), Sentinal-2 multispectral instrument (MSI) SRTM digital elevation model (DEM) data were composed into four groups evaluated their effectiveness in prediction of AGB. Five...

Accurate digital soil mapping (DSM) of organic carbon (SOC) is still a challenging subject because its spatial variability and dependency. This study aimed at comparing six typical methods in three types DSM techniques for SOC an area surrounding Changchun Northeast China. The include ordinary kriging (OK) geographically weighted regression (GWR) from geostatistics, support vector machines (SVR) artificial neural networks (ANN) machine learning, (GWRK) (ANNK) hybrid approaches. approaches,...

The classification of tree species through remote sensing data is great significance to monitoring forest disturbances, biodiversity assessment, and carbon estimation. dense time series a wide swath Sentinel-2 provided the opportunity map accurately in timely manner over large area. Many current studies have applied machine learning (ML) algorithms combined with images classify species, but it still unclear, which algorithm more effective automotive extraction species. In this study, five ML...

The remote sensing ecological index (RSEI) has been established as a comprehensive indicator to evaluating long–term quality (EQ) changes. However, previous studies mostly focused on EQ change analysis at discrete time points and ignored the continuous process. This study aims construct an annual collection from 2000 2019 reveal spatial temporal changes in under combined action of multiple factors. We developed RSEI Northeast China based Google Earth Engine described patterns using trend...

Accurate and reliable information on tree species composition distribution is crucial in operational sustainable forest management. Developing a high-precision map based time series satellite data an effective cost-efficient approach. However, we do not quantitatively know how the scale of acquisitions contributes to complex mapping. This study aimed produce detailed typical zone Changbai Mountains by incorporating Sentinel-2 images, topography data, machine learning algorithms. We focused...

Mangrove forest dynamics are undergoing constant changes because of both natural and anthropogenic factors. However, the rates causes loss restoration remain largely unknown. This study aims to respond this concern by analyzing mangrove forests surrounding land covers in Guangxi Province, China. We analyzed Landsat images on a decadal scale between 1973 2010 using an object-oriented classification method. Temporal analysis results indicated that areal extent showed following changes: sharp...

Abstract. The accurate estimation of soil organic carbon (SOC) storage and determination its pattern-controlling factors is critical to understanding the ecosystem cycle ensuring ecological security. Sanjiang Plain, an important grain production base in China, typical ecosystems, yet SOC pattern has not been fully investigated because insufficient investigation. In this study, 419 samples obtained 2012 for each three depth ranges 0–30, 30–60, 60–100 cm a geostatistical method are used...

Reclamation is one of the fastest-growing land use type developed in coastal areas and has caused degradation loss wetlands as well serious environmental problems. This paper was aimed at monitoring spatiotemporal patterns reclamation Yangtze Estuary during 1960s 2015. Satellite images obtained from 1980 to 2015 topography maps were employed extract changes wetlands. Area-weight centroids calculated identify movement trend The results show that 2015, net area natural declined by 574.3 km2,...

Aquaculture ponds are one of the fastest-growing land use types in valuable and fertile coastal areas have caused serious environmental problems. Quantitative assessment extent, spatial distribution, dynamics aquaculture is utmost importance for sustainable economic development scientific management water resources area. An object- oriented classification approach was applied to Landsat images acquired over three decades investigate long-term change region Yellow River Delta. The results...

The Nenjiang River Basin is an important foodstuff base and eco-environmental fragile area in Northeast China. With the rapid rise human population, human-induced changes land use/land cover form component of regional environment ecosystem service change. At local level, concept can act as a decision support tool for stakeholder to reach sustainable use management. However, prevailing evaluation would produce biggish warp when it applied concrete area. So, essential evaluate change according...

Drastic urbanization has resulted in numerous problems worldwide, and many studies were devoted to individual cities. There is an urgent need quantify patterns illustrate their driving forces the regional area on a large scale over longer time period. This study produced land cover dataset characterize sequential urban expansion Northeast China from 1990 2015 using object-based backdating classification calculating index. The drivers investigated Pearson correlation analysis multiple linear...

Floodplain wetlands in the China side of Amur River Basin (CARB) undergone consistent decreases because both natural and anthropogenic drivers. Monitoring floodplain dynamics conversions over long-time periods is thus fundamental to sustainable management protection. Due complexity heterogeneity environments, however, it difficult map accurately a large area as CARB. To address this issue, we developed novel robust classification approach integrating image compositing algorithm,...

Mangrove National Nature Reserves (MNNRs) play an extraordinarily significant role in conserving mangrove forests and their habitats. In China, one-fourth of the total were located MNNRs. Understanding annual spatial distributions conversions these are important for precision conservation rehabilitation efforts. However, to date, land cover maps China's MNNRs still unavailable. Here, we proposed a rapid robust approach produce each time period 2016–2020 based on 10-m resolution Sentinel-2...