Results 41 to 50 of about 107,679,255 (62)
A Novel Land Surface Temperature Retrieval Algorithm for SDGSAT-1 Images
Land surface temperature (LST) is a crucial parameter influencing Earth-atmosphere interactions and energy balance processes. The Sustainable Development Goals Science Satellite 1 (SDGSAT-1) was recently launched to support the realization of the United ...
Zhong, Kaiwen +7 more
core +1 more source
Karst rocky desertification (KRD) is a significant issue that affects the ecological and economic sustainability of southwest China. Obtaining the accurate distribution of different levels of KRD can provide decision-making support for the effective ...
Xiaochuan Qin +4 more
core +1 more source
Investigating the landslide susceptibility assessment methods for multi-scale slope units based on SDGSAT-1 and Graph Neural Networks [PDF]
Accurate assessment of landslide susceptibility is vital for risk prevention, yet existing methods often overlook remote but interconnected geographical features, leading to unreliable maps.
Shuai Zeng +19 more
core +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
Land Surface Temperature (LST) is a parameter retrieved through the thermal infrared band of remote sensing satellites, and it is a crucial parameter in various climate and environmental models. Compared to other multispectral bands, the thermal infrared
Bohui Tang +3 more
core +1 more source
Infrared Small Target Detection Method Fusing Accurate Registration and Weighted Difference. [PDF]
Liang Q +5 more
europepmc +1 more source
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
Towards submesoscale eddy detection in SDGSAT-1 data through deep learning
In coastal regions, the formation of submesoscale eddies is frequently influenced by factors including topography, tidal forces, and ocean currents. These eddies are often challenging to detect owing to the limited spatial resolution of altimeters and ...
Jie Yang +4 more
core +1 more source
Method for Improving Positioning Accuracy of Rotating Scanning Satellite Images via Multi-Source Satellite Data Fusion. [PDF]
Wang L, Wang P, Zhang Y, Wang Y, Chen B.
europepmc +1 more source
2024 International Workshop on Metrology for Agriculture and Forestry-METROAGRIFOR-Annual -- OCT 29-31, 2024 -- Padova, ITALYForests are vital for maintaining terrestrial biodiversity, sequestering carbon in vegetation and soil, regulating atmospheric ...
Abdikan, Saygin, Özdemir, Eren Gürsoy
core +1 more source

