SDGSAT-1: the world’s first scientific satellite for sustainable development goals
Science Bulletin, 2023 Huadong, Guo +7 more
openaire +2 more sources
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingAccurate and timely estimation of gross domestic product (GDP) is essential for evaluating economic development. Nighttime light (NTL) data effectively estimate subindustry GDP, yet previous studies relied on single panchromatic bands.
Lingxian Zhang +8 more
doaj +1 more source
Quantifying the Variability of Ground Light Sources and Their Relationships with Spaceborne Observations of Night Lights Using Multidirectional and Multispectral Measurements. [PDF]
Sensors (Basel), 2023 Levin N.
europepmc +1 more source
Remote Sensing in Ecology and Conservation, Volume 11, Issue 5, Page 491-494, October 2025.
wiley +1 more source
First Assessment of SDGSAT-1 TIS Thermal Infrared Bands Calibration Using Landsat 9 TIRS-2
SDGSAT-1, the inaugural Earth science satellite commissioned by the Chinese Academy of Sciences, successfully lifted off from China's Taiyuan Satellite Launch Center on 5 November 2021. Cross calibration has emerged as an indispensable methodology,
Min Zhu +4 more
core +1 more source
An Improved Frequency Domain Guided Thermal Imager Strips Removal Algorithm Based on LRSID. [PDF]
Sensors (Basel), 2022 Li J, Zhong L, Hu Z, Chen F.
europepmc +1 more source
Identification of spodumene using a remote-sensing index cube from SDGSAT-1 and other satellites
Lithium (Li), a key element in green energy technologies, plays a pivotal role in achieving the United Nations Sustainable Development Goals (SDGs). Globally, spodumene-bearing pegmatite Li deposits are the primary source of Li.
Nannan Zhang +7 more
core +1 more source
Urban nighttime aerosol optical depth retrieval methods from SDGSAT-1 glimmer data
International Journal of Digital EarthAerosol Optical Depth (AOD) is vital for assessing air quality and climate. Nighttime lights (NTL) provide a new data source for urban AOD inversion, but current NTL data suffer from low spatial resolution, limiting detailed AOD studies in smaller urban ...
Yichen Jiang +8 more
doaj +1 more source
Extraction of Raft Aquaculture in SDGSAT-1 Images via Shape Prior Segmentation Network
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingReliable extraction of raft aquaculture areas from high-resolution remote sensing data is vital for the sustainable development of coastal zones. Despite the success of semantic segmentation, challenges remain due to adhesion effects, weak and seasonal spectral signals against complex dynamic backgrounds, and limited labeled training data for robust ...
Lin Zhu +4 more
openaire +3 more sources
Compositing high-resolution SDGSAT-1 nighttime light data by ranking of structural image features
To unlock the potential of high-resolution nighttime light (NTL) data, robust compositing methods are required. We present an automatic and scalable method for high-resolution NTL data compositing, demonstrated using SDGSAT-1.
LU Linlin +8 more
core +1 more source