Estimating monthly China XCO2 based on DQ-1 data and spatiotemporal heterogeneous filtering model

Satellite remote sensing is vital for global CO2 monitoring, yet active remote sensing suffers from discontinuous coverage despite overcoming passive technique limitations in cloudy or low-light conditions. Although geostatistical and machine-learning methods have been applied to XCO2 reconstruction...

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Xehetasun bibliografikoak

Egile Nagusiak:	Daoyong Zhu, Yumin Chen, Ge Han, Huangyuan Tan, Binjie Chen, Junhan Luo
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Taylor & Francis Group 2026-01-01
Saila:	International Journal of Digital Earth
Gaiak:	XCO2 DQ-1 satellite reconstruction spatial filtering spatiotemporal weighting
Sarrera elektronikoa:	https://www.tandfonline.com/doi/10.1080/17538947.2026.2668778
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!