scholarly journals Reconstruction of Satellite-Retrieved Land-Surface Reflectance Based on Temporally-Continuous Vegetation Indices

2015 ◽  
Vol 7 (8) ◽  
pp. 9844-9864 ◽  
Author(s):  
Zhiqiang Xiao ◽  
Shunlin Liang ◽  
Tongtong Wang ◽  
Qiang Liu
Keyword(s):  
Land Surface ◽  
Vegetation Indices ◽  
Surface Reflectance ◽  
Land Surface Reflectance

scholarly journals Correction of Directional Effects in VEGETATION NDVI Time-Series

2021 ◽  
Vol 13 (6) ◽  
pp. 1130
Author(s):  
Jonathan León-Tavares ◽  
Jean-Louis Roujean ◽  
Bruno Smets ◽  
Erwin Wolters ◽  
Carolien Toté ◽  
...  
Keyword(s):  
Time Series ◽  
Land Surface ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Vegetation Indices ◽  
Global Scale ◽  
Frequency Noise ◽  
Surface Reflectance ◽  
Computationally Efficient ◽  
Land Surface Reflectance

Land surface reflectance measurements from the VEGETATION program (SPOT-4, SPOT-5 and PROBA-V satellites) have led to the acquisition of consistent time-series of Normalized Difference Vegetation Index (NDVI) at a global scale. The wide imaging swath (>2000 km) of the family of VEGETATION space-borne sensors ensures a daily coverage of the Earth at the expense of a varying observation and illumination geometries between successive orbit overpasses for a given target located on the ground. Such angular variations infer saw-like patterns on time-series of reflectance and NDVI. The presence of directional effects is not a real issue provided that they can be properly removed, which supposes an appropriate BRDF (Bidirectional Reflectance Distribution Function) sampling as offered by the VEGETATION program. An anisotropy correction supports a better analysis of the temporal shapes and spatial patterns of land surface reflectance values and vegetation indices such as NDVI. Herein we describe a BRDF correction methodology, for the purpose of the Copernicus Global Land Service framework, which includes notably an adaptive data accumulation window and provides uncertainties associated with the NDVI computed with normalized reflectance. Assessing the general performance of the methodology in comparing time-series between normalized and directional NDVI reveals a significant removal of the high-frequency noise due to directional effects. The proposed methodology is computationally efficient to operate at a global scale to deliver a BRDF-corrected NDVI product based on long-term Time-Series of VEGETATION sensor and its follow-on with the Copernicus Sentinel-3 satellite constellation.

Comparison of different methods of determining land surface reflectance for AOD retrieval

2021 ◽  
pp. 101143
Author(s):  
Qingxin Wang ◽  
Dongsheng Du ◽  
Siwei Li ◽  
Jie Yang ◽  
Hao Lin ◽  
...  
Keyword(s):  
Land Surface ◽  
Surface Reflectance ◽  
Land Surface Reflectance

Validating MODIS land surface reflectance and albedo products: methods and preliminary results

2002 ◽  
Vol 83 (1-2) ◽  
pp. 149-162 ◽  
Author(s):  
Shunlin Liang ◽  
Hongliang Fang ◽  
Mingzhen Chen ◽  
Chad J Shuey ◽  
Charlie Walthall ◽  
...  
Keyword(s):  
Land Surface ◽  
Surface Reflectance ◽  
Preliminary Results ◽  
Land Surface Reflectance

scholarly journals Land Surface Reflectance Retrieval from Hyperspectral Data Collected by an Unmanned Aerial Vehicle over the Baotou Test Site

PLoS ONE ◽  
2013 ◽  
Vol 8 (6) ◽  
pp. e66972 ◽  
Author(s):  
Si-Bo Duan ◽  
Zhao-Liang Li ◽  
Bo-Hui Tang ◽  
Hua Wu ◽  
Lingling Ma ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Land Surface ◽  
Test Site ◽  
Hyperspectral Data ◽  
Surface Reflectance ◽  
Aerial Vehicle ◽  
Land Surface Reflectance

scholarly journals Land surface reflectance retrieval from optical hyperspectral data collected with an unmanned aerial vehicle platform

2019 ◽  
Vol 27 (5) ◽  
pp. 7174 ◽  
Author(s):  
Yao-Kai Liu ◽  
Chuan-Rong Li ◽  
Ling-Ling Ma ◽  
Yong-Gang Qian ◽  
Ning Wang ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Land Surface ◽  
Hyperspectral Data ◽  
Surface Reflectance ◽  
Aerial Vehicle ◽  
Vehicle Platform ◽  
Land Surface Reflectance
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