Controllably deep supervision and multi-scale feature fusion network for cloud and snow detection based on medium-and high-resolution imagery dataset

G Zhang, X Gao, Y Yang, M Wang, S Ran - Remote Sensing, 2021 - mdpi.com
Clouds and snow in remote sensing imageries cover underlying surface information,
reducing image availability. Moreover, they interact with each other, decreasing the cloud …

[HTML][HTML] Data on time series analysis of land surface temperature variation in response to vegetation indices in twelve Wereda of Ethiopia using mono window, split …

ASMA Athick, K Shankar, HR Naqvi - Data in brief, 2019 - Elsevier
In the past, decadal time-series analysis has been done traditionally using meteorological
data. In particular, decadal analysis of land surface temperature has been a major issue due …

[HTML][HTML] A combination of spatial domain filters to detect surface ocean current from multi-sensor remote sensing data

MAA As, SY Lee - Remote Sensing, 2022 - mdpi.com
This research investigates the applicability of combining spatial filter's algorithm to extract
surface ocean current. Accordingly, the raster filters were tested on 80–13,505 daily images …

Comprehensive analysis of ocean current and sea surface temperature trend under global warming hiatus of Kuroshio extent delineated using a combination of …

MAA AS, SY Lee - Geomatics, 2022 - mdpi.com
The effect of climate prevails on a diverse time scale from days to seasons and decades.
Between 1993 and 2013, global warming appeared to have paused even though there was …

[PDF][PDF] Application of TPI for analysis of landforms and LULC of Adama Wereda, Ethiopia

D Alemayehu, M Tadesse, MAA AS - J Geograph Stud, 2018 - researchgate.net
Abstract Topographic Position Index (TPI) algorithm is useful for landform classification
using Digital Elevation Model (DEM) to identify upper, middle and lower parts of the …

Machine learning and high spatial resolution multi-temporal Sentinel-2 imagery for crop type classification

MG Maponya - 2019 - scholar.sun.ac.za
Abstract ENGLISH SUMMARY: Spatially-explicit crop type information is useful for
estimating agricultural production areas. Such information is used for various monitoring and …