Name
Title | ||
|---|---|---|
Prediction of common surface soil properties using airborne and simulated EnMAP hyperspectral images: Impact of soil algorithm and sensor characteristic |
Abstract | ||
|---|---|---|
In this paper we evaluate the impact of different soil algorithms and sensor characteristics for the quantitative determination of surface soil properties based on hyperspectral images. Two types of methodologies-physical analyses of spectral features and statistical multivariate procedures-implemented in different algorithms are considered against ground truth measurements. Parameters of interest are soil organic carbon (SOC), clay and iron oxide content. The soil algorithms were tested on hyperspectral imagery for different study sites based on two types of data sets: airborne data (GSD <;5m) and associated EnMAP satellite simulated data (GSD 30m). The study sites represent a wide range of soil types and properties associated with arid/semiarid through temperate environments in resp. southern and northern Europe. The results show that no simple best-practice rule can be observed that relates methodology used, with sensor resolution and key soil parameter of interest. Further studies must demonstrate for each sensor and each soil parameter which soil algorithm delivers the best performance. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/IGARSS.2014.6947086 | Geoscience and Remote Sensing Symposium |
Keywords | Field | DocType |
clay,geophysical techniques,hyperspectral imaging,soil,statistical analysis,EnMAP satellite simulated data,FeO,airborne EnMAP hyperspectral images,airborne data,best-practice rule,clay,ground truth measurements,hyperspectral imagery,iron oxide content,northern Europe,physical analyses,quantitative determination,semiarid environments,sensor characteristics,sensor resolution,simulated EnMAP hyperspectral images,soil algorithms,soil organic carbon,soil parameter,soil types,southern Europe,spectral features,statistical multivariate procedures,surface soil properties,temperate environments,EnMAP satellite,HYSOMA,PLSR,SVR,hyperspectral,soil surface properties | Soil science,Satellite,Arid,Computer science,Multivariate statistics,Remote sensing,Algorithm,Hyperspectral imaging,Soil carbon,Ground truth,EnMAP,Soil classification | Conference |
ISSN | Citations | PageRank |
2153-6996 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sabine Chabrillat | 1 | 81 | 12.53 |
| saskia foerster | 2 | 61 | 7.01 |
| Andreas Steinberg | 3 | 0 | 0.34 |
| Karl Segl | 4 | 315 | 39.58 |