Narrowband to broadband conversions of land surface albedo I Algorithms
- S. Liang
- Environmental Science
- 1 May 2001
Quantitative Remote Sensing of Land Surfaces
- S. Liang
- Environmental Science
- 12 December 2003
Preface. Acronyms. Chapter 1. Introduction. 1.1 Quantitative Models in Optical remote Sensing. 1.2 Basic Concepts. 1.3 Remote Sensing Modeling System. 1.4 Summary. 1.5 References. Chapter 2.…
Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance
- Zhiqiang Xiao, S. Liang, Jinling Song
- Environmental Science, MathematicsIEEE Transactions on Geoscience and Remote…
- 2014
A method was developed to estimate LAI from time-series remote sensing data using general regression neural networks (GRNNs) and it was demonstrated that the method is able to estimate temporally continuous LAI profiles with much improved accuracy compared with that of the current MODIS and CYCLOPES LAI products.
An Improved Land Surface Emissivity Parameter for Land Surface Models Using Global Remote Sensing Observations
Abstract Because land surface emissivity (e) has not been reliably measured, global climate model (GCM) land surface schemes conventionally set this parameter as simply constant, for example, 1 as in…
Narrowband to broadband conversions of land surface albedo: II
- S. Liang, Chad J. Shuey, B. Hunt
- Environmental Science
- 2003
GOES-R Advanced Baseline Imager (ABI) Algorithm Theoretical Basis Document For
- S. Liang, Dongdong Wang, T. He, Yunyue Yu
- Computer Science
- 2010
Time‐lag effects of global vegetation responses to climate change
- Donghai Wu, Xiang Zhao, Wenqian Zhao
- Environmental ScienceGlobal Change Biology
- 1 September 2015
This study quantitatively determine the time-lag effects of global vegetation responses to different climatic factors using the GIMMS3g NDVI time series and the CRU temperature, precipitation, and solar radiation datasets and established the primary climate-driving factors for different vegetation types.
Long-Time-Series Global Land Surface Satellite Leaf Area Index Product Derived From MODIS and AVHRR Surface Reflectance
- Zhiqiang Xiao, S. Liang, Jindi Wang, Yang Xiang, Xiang Zhao, Jinling Song
- Environmental Science, MathematicsIEEE Transactions on Geoscience and Remote…
- 8 June 2016
A method previously proposed was improved to generate a long time series of Global LAnd Surface Satellite (GLASS) LAI product from Advanced Very High Resolution Radiometer (AVHRR) and Moderate Resolution Imaging Spectroradiometer (MOD!S) reflectance data.
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