Owning to the nature of flood events, near-real-time detection and mapping is essential for disaster prevention, relief, mitigation. In recent years, rapid advancement deep learning has brought endless possibilities field detection. However, relies heavily on training samples availability high-quality datasets rather limited. The present study collected 16 events in Yangtze River Basin divided them into three categories different purpose: training, testing, application. An efficient...

Abstract NASA's Operation IceBridge mission flew over the Ross Sea, Antarctica (20 and 27 November 2013) collected data with Airborne Topographic Mapper (ATM) Digital Mapping System (DMS). Using DMS reflectivity of ATM L1B, leads are detected to define local sea level height. The total freeboard is then obtained converted ice thickness. estimated mean sea-ice thickness values found be in 0.48–0.99 m range. Along N-S track, was thinner southward rather than northward fluxgate, resulting two...

Grassland vegetation changes can be assessed based on growth dynamics and spatial characteristics of or land cover patches. However, previous studies have focused mainly assessing in grasslands only condition, with limited consideration characteristics, which may lead to inaccurate identification grassland dynamics. Here, a decision tree approach was developed classify remote sensing data considering not temporal variation at the grid cell scale but also both heterogeneity configuration bare...

As an environmental parameter, the chlorophyll-a concentration (Chl-a) is essential for monitoring water quality and managing marine ecosystem. However, current mainstream Chl-a inversion algorithms have limited accuracy poor spatial temporal generalization in Case II waters. In this study, we constructed a quantitative model retrieving distribution of Bohai–Yellow Sea area using Geostationary Ocean Color Imager (GOCI) spectral remote sensing reflectance (Rrsλ) products. Firstly, GOCI Rrsλ...

The Taklamakan Desert Region (TDR) and the Gobi (GDR) in East Asia significantly impact air quality, human health, climate through dust aerosols. Utilizing MERRA-2 dataset’s long-term aerosol optical depth (DAOD) at 550 nm from 2000 to 2022, we systematically monitored spatiotemporal dynamics of DAOD. Our analysis covered annual, seasonal, monthly scales, employing geographical detector analyses investigate eight factors on DAOD distribution. Over 23-year period, interannual variability...

Current road extraction models from remote sensing images based on deep learning are computationally demanding and memory-intensive because of their high model complexity, making them impractical for mobile devices. This study aimed to develop a lightweight accurate model, called Road-MobileSeg, address the problem automatically extracting roads The Road-MobileFormer was designed as backbone structure Road-MobileSeg. In Road-MobileFormer, Coordinate Attention Module incorporated encode both...

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Studying the spatiotemporal trends and influencing factors of vegetation coverage is essential for assessing ecological quality monitoring regional ecosystem dynamics. The existing research on variations their driving predominantly focused inland ecologically vulnerable regions, while coastal areas received relatively little attention. However, with unique geographical, ecological, anthropogenic activity characteristics, may exhibit distinct distribution patterns mechanisms. To address this...

As a vital part of the Eurasian temperate grassland, Chinese grassland is primarily distributed in Inner Mongolia Plateau. This paper focuses on mapping dynamics from 1980s to 2010s Mongolia, which was divided into meadow steppe (TMS), typical (TTS), desert (TDS), (TSD) and (TD). Multi-source features, including multispectral reflectance, vegetation growth, topography, water bodies, meteorological data, soil characteristics, were selected based their distinct physical properties remote...

Gross Ecosystem Product (GEP) is a single currency to measure the contribution of an ecosystem society. It sum value products and services provided by humans. Based on this, GEP characterizes current situation ecological environment in region can index ecosystems. land use data, rainfall soil statistical yearbook, DEM other this paper constructs accounting framework Hainan Island’s GEP, quantitatively evaluates from 2010 2020 analyzes research results. The results are as follows: (1) rose...

The accurate identification and monitoring of invasive plants are great significance to sustainable ecological development. Pedicularis poses a severe threat native biodiversity, security, socioeconomic development, human health in the Bayinbuluke Grassland, China. It is imperative useful obtain precise distribution map for controlling its spread. This study used positive unlabeled learning (PUL) method extract from Grassland based on multi-period Sentinel-2 PlanetScope remote sensing...

Plant water stress can be detected via remote sensing. The objective of the study was to determine which leaf index is best for assessing content from laboratory standpoint. This investigated relationship between equivalent thicknesses (EWT), gravimetric (GWC), and plant concentration in 350- 2500-nm reflectance spectral range. A total 277 samples taken ten different plants were used as calibration dataset, 605 leaves plants, including LOPEX93 ANGERS database, validation. Three specific...

The split‐window method is used widely for Earth surface temperature determination from remotely sensed data. coefficients depend on the emissivities, atmospheric absorption and total water vapour amount. It always a challenge to obtain local land surface. An iterative self‐consistent approach has been previously studying effects in optical scanner data oceans. This Letter presents similar temperatures. can be Along‐Track Scanning Radiometer (ATSR) thermal infrared derive localized...

With the rapid development of multimedia technology and Internet, content-based image retrieval (CBIR) has become an active research field at present. Many researches have been done on visual features their combinations for CBIR, but few performance comparison different feature combinations. Therefore, in paper, are firstly compared experiments. Moreover, only using low-level CBIR cannot achieve a satisfactory measurement performance, since user's high-level semantics be easily expressed by...

To characterize a community-scale urban functional area using geo-tagged data and available land-use information, several supervised semi-supervised models are presented evaluated in Hong Kong for comparing their uncertainty, robustness sensitivity. The following results noted: (i) As the training set size grows, models’ accuracies improved, particularly multi-layer perceptron (MLP) or random forest (RF). graph convolutional network (GCN) (MLP RF) model reveals top accuracy when proportion...

Time series Autoregressive Integrated Moving Average (ARIMA) model is often used in landslide prediction and forecasting. However, few conditions have been suggested for the application of ARIMA models displacement prediction. This paper summarizes distribution law tangential angle different time periods analyzes data by combining wavelet transform. It proposes an applicable condition field prediction: when deformation initial to acceleration stage, i.e., less than 80°, has higher accuracy...

The Eurasian temperate grassland is the largest ecosystem and vegetation transition zone globally. spatiotemporal distribution changes of types are vital for monitoring management. However, there currently a lack unified classification method standard map types. Normalized Difference Vegetation Index (NDVI) from remote sensing data commonly used in monitoring. In this paper, Accumulated Rate NDVI Change (ARNCI) was proposed to characterize annual trend different types, four transitional...

The Dasuji giant porphyry molybdenum deposit is one of the largest ore deposits recently discovered along Yinshan–Yanshan–Liaoning belt in China. Using this as study area, present proposed a two-stage approach aimed at marking out hydrothermally altered anomalies area for guidance future prospecting other regions. First all, Principal Component Analysis (PCA) and specific Band Ratio methods were applied to ASTER images from different acquisition dates extract ferric oxides hydroxyl...