The compilation of global Landsat data-sets and the ever-lowering costs of computing now make it feasible to monitor the Earth's land cover at Landsat resolutions of 30 m. In this …
Z Xiao, S Liang, J Wang, P Chen, X Yin… - … on Geoscience and …, 2013 - ieeexplore.ieee.org
Leaf area index (LAI) products at regional and global scales are being routinely generated from individual instrument data acquired at a specific time. As a result of cloud contamination …
R Houborg, MF McCabe - ISPRS Journal of Photogrammetry and Remote …, 2018 - Elsevier
With an increasing volume and dimensionality of Earth observation data, enhanced integration of machine-learning methodologies is needed to effectively analyze and utilize …
J Huang, F Sedano, Y Huang, H Ma, X Li… - Agricultural and Forest …, 2016 - Elsevier
The scale mismatch between remote sensing observations and state variables simulated by crop growth models decreases the reliability of crop yield estimates. To overcome this …
Processing the vast amounts of data on the Earth's land surface environment generated by NASA's and other international satellite programs is a significant challenge. Filling a gap …
Three process based models are used to estimate terrestrial heat fluxes and evapotranspiration (ET) at the global scale: a single source energy budget model, a Penman …
S Liang, D Wang, T He, Y Yu - International Journal of Digital Earth, 2019 - Taylor & Francis
The Earth's climate is largely determined by its energy budget. Since the 1960s, satellite remote sensing has been used in estimating these energy budget components at both the …
With the development of quantitative remote sensing, scale issues have attracted more and more the attention of scientists. Research is now suffering from a severe scale discrepancy …