Name
Abstract | ||
|---|---|---|
Soil spectral reflectance is affected by soil physicochemical characteristics and the physical basis of the soil remote sensing. Generally, the impact factors of the soil spectral features include water content, organic matter content, iron oxides content, physical composition and the parent material. In this study, a portable ASD FieldSpec Pro FR was used to collect the spectra of soil samples. The sensitive bands were selected by analyzing the relationship between nutrients and soil spectral features. Then the inversion models of soil nitrogen and organic were established by linear regression separately. The result showed that the content of soil nitrogen and soil organic can be well retrieved from remote sensing. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/IGARSS.2011.6049997 | IGARSS |
Keywords | Field | DocType |
soil nutrients,geophysical techniques,remote sensing,soil nitrogen,linear regression method,soil spectral reflectance,linear regression,soil remote sensing,iron oxides content,water content,geochemistry,physical composition,soil physicochemical characteristics,soil,organic matter content,nitrogen,spectral reflectance,inverse modeling,organic matter,reflectivity | Soil science,Nitrogen,Computer science,Organic matter,Physical Composition,Water content,Reflectivity,Pedotransfer function,Nutrient,Soil test | Conference |
Volume | Issue | ISSN |
null | null | 2153-6996 |
ISBN | Citations | PageRank |
978-1-4577-1003-2 | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Heng Dong | 1 | 0 | 0.34 |
| Chao Chen | 2 | 2032 | 185.26 |
| Jinliang Wang | 3 | 0 | 0.34 |
| Qi-ming Qin | 4 | 158 | 49.12 |
| Hongbo Jiang | 5 | 985 | 80.52 |
| Ning Zhang | 6 | 2 | 1.35 |
| Mingchao Liu | 7 | 1 | 2.04 |