The Effect of Vegetation on the Remotely Sensed Soil Thermal Inertia and a Two-Source Normalized Soil Thermal Inertia Model for Vegetated Surfaces
Zhang, RH; Tian, J; Mi, SJ; Su, HB; He, HL; Li, ZL; Liu, K
2016
Source PublicationIEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
ISSN1939-1404
Volume9Issue:4Pages:1725-1735
AbstractThe estimation of soil thermal inertia (STI) (P) on the vegetated surface is a challenging task due to the difficulty in acquiring soil temperature under vegetation. In most cases, mixed surface temperature (T) is used to replace soil temperature (T-s) to estimate P. Inevitably, errors are introduced because of the effect of vegetation. In this paper, on the basis of a simplified STI concept and an operational algorithm of surface temperature separation, the differences of STI estimated from T-s, vegetation temperature (T-v) and T were quantified. When there is large difference between T and T-s (as much as 10 K), the mean absolute percentage difference (MAPD) between STI estimated from T-s (STIS) and STI estimated from T (STIM) can reach 60%. A normalized STI (STIN) to account for the vegetated surface was proposed in terms of the linear mixing theory, which can be used to estimate the relative soil water (SW) content. Under the condition that the wilting point of the soil moisture and the saturated soil moisture are known for an area, SW content can then be calculated from STIN. The comparisons of the relationships between soil moisture from the advanced microwave scanning radiometer-earth observing system and STIS, STIV, STIM, and soil moisture estimated from STIN show that STIN is the best indicator of soil moisture, with the highest correlation coefficient (R-2) of 0.64 and 0.75 for the two validation domains.
SubtypeJournal
KeywordRemote sensing soil moisture soil thermal inertia (STI) vegetated surface
Subject AreaEngineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology
WOS Subject ExtendedEngineering, Electrical & Electronic ; Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology
WOS KeywordSOUTHERN GREAT-PLAINS ; EVAPOTRANSPIRATION ESTIMATION ; TEMPERATURE OBSERVATIONS ; CANOPY TEMPERATURE ; TRIANGLE METHOD ; HEAT-FLUX ; MOISTURE ; INDEX ; EVAPORATION ; RETRIEVAL
Indexed BySCI
Language英语
WOS IDWOS:000375868800032
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/44254
Collection生态系统网络观测与模拟院重点实验室_生态网络实验室
Recommended Citation
GB/T 7714
Zhang, RH,Tian, J,Mi, SJ,et al. The Effect of Vegetation on the Remotely Sensed Soil Thermal Inertia and a Two-Source Normalized Soil Thermal Inertia Model for Vegetated Surfaces[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2016,9(4):1725-1735.
APA Zhang, RH.,Tian, J.,Mi, SJ.,Su, HB.,He, HL.,...&Liu, K.(2016).The Effect of Vegetation on the Remotely Sensed Soil Thermal Inertia and a Two-Source Normalized Soil Thermal Inertia Model for Vegetated Surfaces.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,9(4),1725-1735.
MLA Zhang, RH,et al."The Effect of Vegetation on the Remotely Sensed Soil Thermal Inertia and a Two-Source Normalized Soil Thermal Inertia Model for Vegetated Surfaces".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 9.4(2016):1725-1735.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhang, RH]'s Articles
[Tian, J]'s Articles
[Mi, SJ]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhang, RH]'s Articles
[Tian, J]'s Articles
[Mi, SJ]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhang, RH]'s Articles
[Tian, J]'s Articles
[Mi, SJ]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.