Meteorological satellites have become an irreplaceable tool for weather and land observation. Traditionally, geo-stationary are commonly used in operational meteorological services due to their high temporal resolution properties. While polar-orbiting satellites, with spatial properties, more applied monitor environmental change natural disasters. The development of China's next-generation geostationary (FY-4 series) represents exciting expansion Chinese Non-meteorological remote sensing...

Assessing the ecological status of different districts within a city undergoing urbanization is challenging given their complex surface types and fast pace development. In this study, we utilized satellite data obtained from Landsat 5/TM (Thematic Mapper) 8/OLI (Operational Land Imager) images in conjunction with meteorological socioeconomic to construct remote sensing index (RSEI) for monitoring quality Nanjing, Jiangsu Province. A higher RSEI value corresponded better quality. Five ratings...

Abstract Estimation of chlorophyll content and the leaf area index (LAI) using remote sensing technology is particular use in precision agriculture. Wavelengths at red edge vegetation spectrum (705 750 nm) were selected to test indices (VIs) spaceborne hyperspectral Hyperion data for estimation LAI different canopy structures. Thirty sites ground collection. The results show that can be successfully estimated by VIs derived from with a root mean square error (RMSE) 7.20–10.49 μg cm−2...

The scientific evaluation of the wetland biodiversity conservation function is basis balanced protection and development. Our research sought to provide references for ecological environments as well related planning management policies. study established a fitting model evaluating in Liaohe Delta, northeastern China. new model, Wetland Biodiversity Conservation Indicator (WBCI), was with four input factors, including vegetation coverage (VC), habitat suitability index (HI), land use cover...

The cloud-free monthly composite of global nighttime light (NTL) data the Suomi National Polar-orbiting Partnership with Visible Infrared Imaging Radiometer Suite (NPP-VIIRS) day/night band (DNB) provides indispensable indications human activities and settlements. However, coarse spatial resolution (15 arc sec) NTL imagery greatly restricts its application potential. This study proposes a feasible framework to downscale NPP-VIIRS using muti-source variables geographically weighted regression...

It is crucial to maintain the balance of economic development and ecosystem protection. The value services an indicator help people understand importance Traditional models estimate service values only according land use/cover data while ignoring vegetation status differences in same use/cover. This study uses normalized difference index (NDVI), leaf area (LAI), net primary productivity (NPP) as describe type. principal component analysis (PCA) approach used reduce correlations among three...

Currently, the satellite data used to estimate terrestrial net primary productivity (NPP) in China are predominantly from foreign satellites, and very few studies have based their estimates on China's Fengyun satellites. Moreover, despite importance, influence of land cover types normalized difference vegetation index (NDVI) NPP estimation has not been clarified. This study employs Carnegie—Ames—Stanford approach (CASA) model compute fraction absorbed photosynthetically active radiation...

In recent years, the areas damaged by East Asia migratory locust plagues (Locusta migratoria manilensis) have enlarged geographically in China. Some outbreaks parts of Dagang region, east coast China, caused drastic reductions yield agricultural reeds and created a severe threat to local regional agriculture. Currently, monitoring system for this species depends on field observations conducted sparsely distributed observing stations established 1950s. This observation network was, past,...

In this study, the channel data related to fire point identification of Advanced Geostationary Radiation Imager on Fengyun-4B (FY-4B/AGRI) and Meteorological GEO-KOMPSAT 2A (GK-2A/AMI) were cross-compared. A total 267 sampling points in China (Guangdong, Guangxi, Guizhou, Yunnan, Hainan) selected carry out fine positioning correction different elevation intervals. Then, a monitoring algorithm based FY-4B was proposed, which self-adaptive threshold adjustment underlying surface parameters...

Global climate change can greatly promote the continuing expansion of algal blooms in eutrophic inland lakes. Wind fields, an important factor, provide external driving force for movement blooms. Based on bloom satellite imageries and wind observation data from 2003 to 2022, this study explored a quantitative assessment variations surface fields their impacts Lake Taihu, China. The results indicate that mean speed at different time scales Taihu area presents continuous descending tendency...

Abstract The World Meteorological Organization stipulates a minimum of 30 years historical data is needed to obtain meaningful results in climatological research. However, large numbers studies have explored downscaling approaches based on the TRMM Multi‐Satellite Precipitation Analysis (TMPA) data, which span only from 1998 present, precipitation estimates (~1‐km resolution). main aim present study was develop new method for obtaining long‐term (>30 years) at ~1‐km resolution and apply...

China’s FY-4B satellite, launched on 3 June 2021, is a new-generation geostationary meteorological satellite. The Advanced Geosynchronous Radiation Imager (AGRI) onboard has 15 spectral channels, including 2 visible (470 and 650 nm), 1 near infrared (825 shortwave (1379, 1610, 2225 nm) bands, which can be used to observe the Earth system with highest spatial resolution of 500 m min temporal resolution. In this study, FY-4B/AGRI observations were applied for first time monitor cyanobacterial...

The surface vegetation condition has been operationally monitored from space for many years by the Advanced Very High Resolution Radiometer (AVHRR) and Moderate Imaging Spectroradiometer (MODIS) instruments. As these instruments are close to end of their design life, products required users new satellite missions. MEdium Spectral Imager-II (MERSI-II) onboard Fengyun (FY) (FY-3 series; FY-3D) is used retrieve parameters. First, MERSI-II solar channel measurements at red near-infrared (NIR)...

Methods of rainstorm disaster risk monitoring (RDRM) based on retrieved satellite rainfall data are studied. Due to significant regional differences, the global disasters not only affected by geography (such as topography and surface properties), but also climate events. It is necessary study disaster-causing factors, hazard-formative environments, hazard-affected incidents distribution precipitation rainstorms worldwide. According a flood dataset for last 20 years, top four causes...

Efficient and accurate monitoring of land surface eco-environmental situation (LSEES) is critical to promoting the sustainable development global society. This study utilizes satellite data from EOS/MODIS derive index (LSEESI) through covariance-based principal component analysis method. Four strategies are used evaluate performance this methodology. The stability, reasonability, comprehensive representation, regional adaptability model approved. LSEESI also compared with remote sensing...

Many techniques were developed for creating true color images from satellite solar reflective bands, and the so-derived have been widely used environmental monitoring. For newly launched Fengyun-3D (FY-3D) satellite, same capability is required its Medium Resolution Spectrum Imager-II (MERSI-II). In processing MERSI-II image, a more comprehensive technique developed, including atmospheric correction, nonlinear enhancement, image splicing. The effect of molecular scattering on total...

In recent years, the remote sensing based on meteorological satellite observations has become an important tool for assessing global ecological conditions. Since early 2000, Fengyun (FY) data have been widely used to derive key parameters of environment in China. An integrated earth-observation system developed China through using FY data, including retrievals as well constructions long-term records vegetation index, land surface temperature, net primary production, health and so on....