However, the current deep learning neural network-based methods still face challenges in the resolution of IR images, less extractable features, and obtaining sufficient datasets, which limit their applicability in various scenes. Table 2. Description of tensor-based LRSD methods. ...
MODIS data, with its global coverage, high spatial and temporal resolution, and short revisit period, facilitated the acquisition of comprehensive, high-resolution, monthly scale ecological indicators in this study. Four ecological indicators (NDVI, WET, NDBSI, LST) were derived through processing ...
It has been constantly used to estimate WBC [21] and has been updated to a WetSpass-M model by reducing the temporal resolution to a monthly scale [22]. A calibrated WetSpass model for the Nile Delta was created by changing the parameters for Nile Valley conditions [23], Palestine, the...
To use methods that mix low-resolution and high-resolution images and utilize fusion, data from two different satellites are needed, which is problematic when one has only a set of images from one satellite. Also, some of these methods use both temporal and spatial data, and they need more...
To use methods that mix low-resolution and high-resolution images and utilize fusion, data from two different satellites are needed, which is problematic when one has only a set of images from one satellite. Also, some of these methods use both temporal and spatial data, and they need more...
COVID-19 Spread Mapper: A multi-resolution, unified framework and open-source tool. Bioinform. Engl. 2022, 38, 2661–2663. [Google Scholar] [CrossRef] Mason, L.; Hicks, B.; Almeida, J.S. EpiVECS: Exploring spatiotemporal epidemiological data using cluster embedding and interactive ...
For spatial analysis, the average value was calculated for each grid with a spatial resolution of 1 km to obtain the spatial distribution of each EPI on annual, spring, and summer scales. Table 2. Definition of each extreme precipitation indices. 3.3. Analysis Methods In this study, the ...
The spatial resolution was 12 km × 24 km, and the time resolution was 16 days. The missing data regarding sulfur dioxide emissions and nitrogen dioxide emissions for the years 2000–2004 and 2018–2020 were supplemented using the ecological and environmental status bulletins. The data on the ...
Concurrently, a spatial grid with a scale of 1 km is meticulously created within the study area, aligning with the spatial resolution of the nighttime lighting data. The profile line layer is then superimposed onto the grid, allowing us to identify the sampling points at the intersections of ...
Since a compact receiving array was adopted in the simulation, the azimuth resolution was low, preserving a large part of the sea clutter. In contrast, the proposed algorithm constructed APES filters to effectively filter out target signals while minimizing the impact on sea clutter signals, ...