After the occurrence of major natural disasters, it is of great significance that disaster states are assessed timely and accurately for decision-making departments to draw up effective response programs. Multi-spectral remote sensing has a great advantage and potential in disaster assessment, with the characteristics of a wide range of data acquisition, high speed, etc. In several major natural disaster assessments in China, multi-spectral remote sensing technology has played an important role. Firstly, the present paper takes earthquake disasters, floods disasters and drought disasters as examples to summarize the specific applications of major natural disaster assessment based on the multi-spectral remote sensing. Secondly, in these specific applications they suffer from both relative shortage of data sources and limited breadth and depth of application; both of these problems are analyzed. Finally, the future development direction of major natural disaster assessment based on the multi-spectral remote sensing, such as the expansion of multi-spectral remote sensing data acquisition means, the establishment of major natural disasters assessment index system based on remote sensing, and the improvement of the assessment technology system based on multi-spectral remote sensing are also discussed.
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PLoS One
January 2025
UK Centre for Ecology and Hydrology, Crowmarsh Gifford, Wallingford, United Kingdom.
Surface water plays a vital role in the spread of infectious diseases. Information on the spatial and temporal dynamics of surface water availability is thus critical to understanding, monitoring and forecasting disease outbreaks. Before the launch of Sentinel-1 Synthetic Aperture Radar (SAR) missions, surface water availability has been captured at various spatial scales through approaches based on optical remote sensing data.
View Article and Find Full Text PDFPLoS One
January 2025
College of Geography and Environmental Science, Guizhou Normal University, Guiyang, China.
It is significant to research the ecological risk of land use landscape to promote ecological conservation and restoration. The characteristics of land use dynamic change in Baili Rhododendron National Forest Park were analyzed based on GlobeLand30 data for three periods in 2000, 2010 and 2020. With the support of the landscape ecological risk evaluation model and spatial analysis methods, the features of spatial and temporal differentiation of ecological risk and its spatial correlation in the study area were evaluated.
View Article and Find Full Text PDFAnn N Y Acad Sci
January 2025
Institute for Earth System Science and Remote Sensing, Leipzig University, Leipzig, Germany.
Vegetation is often viewed as a consequence of long-term climate conditions. However, vegetation itself plays a fundamental role in shaping Earth's climate by regulating the energy, water, and biogeochemical cycles across terrestrial landscapes. It exerts influence by consuming water resources through transpiration and interception, lowering atmospheric CO concentration, altering surface roughness, and controlling net radiation and its partitioning into sensible and latent heat fluxes.
View Article and Find Full Text PDFGlob Chang Biol
January 2025
Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China.
Maintaining the stability of ecosystems is critical for supporting essential ecosystem services over time. However, our understanding of the contribution of the diverse biotic and abiotic factors to this stability in wetlands remains limited. Here, we combined data from a field vegetation survey of 725 herbaceous wetland sites in China with remote sensing information from the Enhanced Vegetation Index (EVI) from 2010 to 2020 to explore the contribution of biotic and abiotic factors to the temporal stability of primary productivity.
View Article and Find Full Text PDFNew Phytol
January 2025
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, 91011, USA.
A new proliferation of optical instruments that can be attached to towers over or within ecosystems, or 'proximal' remote sensing, enables a comprehensive characterization of terrestrial ecosystem structure, function, and fluxes of energy, water, and carbon. Proximal remote sensing can bridge the gap between individual plants, site-level eddy-covariance fluxes, and airborne and spaceborne remote sensing by providing continuous data at a high-spatiotemporal resolution. Here, we review recent advances in proximal remote sensing for improving our mechanistic understanding of plant and ecosystem processes, model development, and validation of current and upcoming satellite missions.
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