Name
Title | ||
|---|---|---|
Quantifying winter wheat residue biomass with a spectral angle index derived from China Environmental Satellite data. |
Abstract | ||
|---|---|---|
•Angles formed at the NIRIRS vertex by the three vertices at R, NIRIRS, and SWIR (ANIRIRS) of HJ-1B can explain 81% of winter wheat residue biomass.•ANIRIRS offers a simple, but effective, alternative method to methods based on hyperspectral data.•ANIRIRS performs well in winter wheat residue biomass estimation with different residue treatments (both standing and laid flat crop residue).•ANIRIRS adequately estimates winter wheat residue biomass at different residue moisture conditions.•ANIRIRS is a potential method for quantifying crop residue biomass broadly. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.jag.2014.03.020 | International Journal of Applied Earth Observation and Geoinformation |
Keywords | Field | DocType |
Crop residue biomass,Winter wheat,Spectral angle index,Field spectrometry,China Environment Satellite (HJ-1B) | Agronomy,Biomass,Soil science,Vegetation,Moisture,Residue (complex analysis),Soil type,Coefficient of determination,Geography,Carbon cycle,Crop residue | Journal |
Volume | ISSN | Citations |
32 | 0303-2434 | 1 |
PageRank | References | Authors |
0.37 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Miao Zhang | 1 | 38 | 7.75 |
| Wu Bingfang | 2 | 165 | 39.66 |
| Jihua Meng | 3 | 39 | 6.79 |