Generating spatiotemporally continuous grassland aboveground biomass on the tibetan plateau through PROSAIL model inversion on google earth engine
J Xie, C Wang, D Ma, R Chen, Q Xie… - … on Geoscience and …, 2022 - ieeexplore.ieee.org
Spatiotemporally continuous monitoring of aboveground biomass (AGB), an important
indicator of grassland productivity, is crucial for achieving sustainable grassland …
indicator of grassland productivity, is crucial for achieving sustainable grassland …
Simultaneous estimation of five temporally regular land variables at seven spatial resolutions from seven satellite data using a multi-scale and multi-depth …
Various satellite sensors have provided a huge amount of observations of Earth's
environment at variable spatial and temporal resolutions. Many global coarse-resolution …
environment at variable spatial and temporal resolutions. Many global coarse-resolution …
Evaluation and improvement of temporal robustness and transfer performance of surface soil moisture estimated by machine learning regression algorithms
Q Jiaxin, Y Jie, S Weidong, Z Lingli, S Lei… - … and Electronics in …, 2024 - Elsevier
The accurate monitoring of the spatio-temporal distribution of surface soil moisture (SSM) is
crucial to understanding Earth's water cycle. The machine learning regression (MLR) …
crucial to understanding Earth's water cycle. The machine learning regression (MLR) …
An RTM-driven machine learning approach for estimating high resolution FAPAR from Landsat 5/7/8/9 surface reflectance
G Zhang, G Yin, Y Zhang, J Hu, Z Li… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Fraction of absorbed photosynthetically active radiation (FAPAR) is an essential indicator of
vegetation productivity and carbon uptake. Though coarse resolution FAPAR products from …
vegetation productivity and carbon uptake. Though coarse resolution FAPAR products from …
Retrieval of Desert Microwave Land Surface Emissivity Based on Machine Learning Algorithms
J Li, Y Guan, Q Lu, Y Bao, C Wu, C Xu - Remote Sensing, 2023 - mdpi.com
Based on the community radiative transfer model, ensemble tree-based random forest
algorithm, and extreme gradient boosting tree algorithm, this study established a random …
algorithm, and extreme gradient boosting tree algorithm, this study established a random …
A High Spatiotemporal Enhancement Method of Forest Vegetation Leaf Area Index Based on Landsat8 OLI and GF-1 WFV Data
X Luo, L Jin, X Tian, S Chen, H Wang - Remote Sensing, 2023 - mdpi.com
The leaf area index (LAI) is a crucial parameter for analyzing terrestrial ecosystem carbon
cycles and global climate change. Obtaining high spatiotemporal resolution forest stand …
cycles and global climate change. Obtaining high spatiotemporal resolution forest stand …