This study uses nighttime images of lights on the surface of Earth, i.e., nightlight (NTL), taken by satellites to estimate the economic impact of COVID-19 in India during Fiscal Year (FY) 2020Q1 (Apr-Jun, 2020), the study period. The NASA nighttime radiance dataset, VNP46A1, was ...
If the exact location, height, and direction of the satellite’s movement are known, three-dimensional trigonometry can be used to calculate the geographic longitude and latitude of each pixel. Modern satellites are like stable platforms that send their position and height along with images to the...
Land Cover Classification of Satellite Imagery using Convolutional Neural Networks using Keras and a multi spectral dataset captured over vineyard fields of Salinas Valley, California Detecting deforestation from satellite images -> using FastAI and ResNet50, with repo fsdl_deforestation_detection Neural ...
of imagery in a deep learning model trained end-to-end, with models trained separately on daytime and nighttime images and then joined in a final fully connected layer. The goal of the model is to learn features in the daytime and nighttime imagery that are predictive of asset wealth, ...
Three different images were used to evaluate the proposed MSh-MSi-MP-DC-CNN architecture. One was taken by the WorldView-2 dataset (1.82m resolution) of Tiruppur in India, and the other two were taken by the WorldView-3 dataset (0.31m resolution) of Kibera in Kenya and Medellin in ...
SICKLE is a unique collection of multi-resolution time-series images from Landsat-8, Sentinel-1, and Sentinel-2 satellites. The dataset covers the period from January 2018 to March 2021 and includes optical, thermal, and microwave sensor data. It is focused on paddy cultivation in the Cauvery...
In Japan, various human activities can be monitored easily without satellite images because we can use many kinds of detailed spatial dataset and statistics. On the other hand detailed spatial data are not developed adequately especially in developing countries. Night light images by the DMSP/OLS ...
SVR is a traditional supervised ML technique that was initially presented by65. SVR is a method even when there is no pre-knowledge of the raw data. This technique can be employed to unstructured or semi-structured data, such as text or images, and it is carried out within the framework ...
We utilized processed DMSP data from the Consistent And Corrected Nighttime Light Dataset (Zhao et al., 2022). The VIIRS data were monthly average radiance composites and we transformed them into annual median values. Both datasets were resampled to 30-m resolution to match the daytime images. ...
UC Merced Land Use Dataset - 2100 256x256, 1m/px aerial RGB images over 21 land use classes. US specific. (2010) Open street map landuse - OSM landuse visualised in this tool. Some studies have used this in combo. with google sat. images. European Environment Agency - Urban Atlas -...