NDLI: Research on the spectral-directional soil model in a new remote sensing reflectance model of the semiarid landscape

Content Provider	IEEE Xplore Digital Library
Author	Feng Xiaoming Chen Yongkang Zhao Yingshi
Copyright Year	2004
Description	Author affiliation: Coll. of Earth Sci., Chinese Acad. of Sci., Beijing (Feng Xiaoming)
Abstract	The grasslands of Neimeng Province in North China are destroyed more or less for the semiarid weather condition and human factors. It is necessary to do some supervising work. Remote sensing can provide sequential data of large area. Most of the models have their own limitation. No one in existence can model it ideally. Taking the work of Geometric-Optical model as a starting point, we arrive at a large-scale spectral-directional reflectance model aiming at the semiarid landscape. As we consider the difference between the tree and the grass, and the data characteristic of moderate-scale viewing from the space, two most important scene elements are accounted for in this model: bare soil and canopy. The model is composed of the Multi-spectral Reflectance Model (MSRM)(Nilson-Kuusk, 1994), which calculate the canopy reflectance, and the soil reflectance model. We tried two kinds of spectral-directional reflectance soil models here separately. One is mechanism model, that is SOILSPECT(S.Jacquemoud, 1992) model, the other is experience model, that is Price model (Price,1990) together with the BRDF Walthall model (Nilson-Kuusk,1989). The two coupled models are validated. The result show that coupled with SOILSPECT, the model is more efficient in modeling the angular distribution of reflectance, such as "hotspot effect", For the degraded grassland, the RMS between the MISR data and the calculated multi-angular data is 0.0137 in red band, 0.0164 in near IR band. The RMS between the MODIS data and the calculated spectral data is 0.0209. Coupled with Price+Walthall, the number of the parameters is reduced and easy to get. The RMS between the MISR data and the calculated multi-angular data is 0.0139 in red band, 0.0372 in near IR band. The RMS between the MODIS data and the calculated spectral data is 0.0258. In conclusion, We think it would be a good method that coupling the SOILSPECT model with MSRM, but calculating the parameters in SOILSPECT by Price model
Starting Page	4662
Ending Page	4665
File Size	683463
Page Count	4
File Format	PDF
ISBN	0780387422
DOI	10.1109/IGARSS.2004.1370197
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-09-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Soil Remote sensing Reflectivity Educational institutions Geoscience Degradation Solid modeling MODIS Human factors Large-scale systems
Content Type	Text
Resource Type	Article

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