IGSNRR OpenIR
Application of the water-related spectral reflectance indices: A review
Ma, Shengfang1,2,3; Zhou, Yuting4; Gowda, Prasanna H.5; Dong, Jinwei6; Zhang, Geli7; Kakani, Vijaya G.4; Wagle, Pradeep5; Chen, Liangfu1,2; Flynn, K. Colton8; Jiang, Weiguo9
2019-03-01
Source PublicationECOLOGICAL INDICATORS
ISSN1470-160X
Volume98Pages:68-79
Corresponding AuthorZhou, Yuting(yuting.zhou@okstate.edu)
AbstractWater status is an important indicator of ecosystem health. Based on the spectral signatures of liquid water and other land surface features (e.g., soil and vegetation), many water-related spectral reflectance indices (WIs) have been developed to characterize the presence of liquid water. These WIs are widely used in agricultural and ecological applications including surface water body characterization, vegetation water status estimation, soil water content assessment, and wetland (e.g., paddy rice) monitoring. However, choosing the correct WIs for specific studies is confusing due to arbitrary selections of WIs in respective applications and the mixing of WIs names in different studies. To increase the clarity of appropriate usage of WIs in specific conditions, this study reviewed the principles, developments, and applications of various WIs to identify the suitability of WIs for different applications. We started with the discussion of the underlying principles and developments (e.g., from ratio to normalized difference of two bands) of different WIs, based on the spectrum features of water, vegetation, and soil from widely used spectral libraries. Applications from different studies, in each category, were then compared to show the performances of different Wls. This is followed by a brief summary about the terminology of WIs in different studies to further reduce the confusion caused by the mixed use of WIs terms. A field experiment was designed to investigate the dynamics of various WIs in response to different mixing ratios of water and soil or plant. The effectiveness of combining WIs and greenness indices for detecting surface water body and wetland were evaluated using the field experiment data. Finally, we identified the major gaps and pointed out the potential improvements for the future.
KeywordSatellite remote sensing Drought Soil water content Surface water body Vegetation water content Wetland
DOI10.1016/j.ecolind.2018.10.049
WOS KeywordLAND-SURFACE TEMPERATURE ; PADDY RICE AGRICULTURE ; SOUTHERN GREAT-PLAINS ; REMOTE-SENSING DATA ; VEGETATION INDEX ; SOIL-MOISTURE ; TRIANGLE METHOD ; MODIS ; SATELLITE ; DROUGHT
Indexed BySCI
Language英语
Funding ProjectStrategic Priority Research Program of the Chinese Academy of Sciences (CAS)[XDA19040301] ; USDA-NIFA's Agriculture and Food Research Initiative (AFRI)[2013-69002]
Funding OrganizationStrategic Priority Research Program of the Chinese Academy of Sciences (CAS) ; USDA-NIFA's Agriculture and Food Research Initiative (AFRI)
WOS Research AreaBiodiversity & Conservation ; Environmental Sciences & Ecology
WOS SubjectBiodiversity Conservation ; Environmental Sciences
WOS IDWOS:000464891100008
PublisherELSEVIER SCIENCE BV
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/68595
Collection中国科学院地理科学与资源研究所
Corresponding AuthorZhou, Yuting
Affiliation1.Chinese Acad Sci, Inst Remote Sensing Applicat, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
2.Beijing Normal Univ, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Oklahoma State Univ, Dept Plant & Soil Sci, Stillwater, OK 74078 USA
5.USDA ARS, Grazinglands Res Lab, El Reno, OK 73036 USA
6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
7.China Agr Univ, Sch Land Sci & Technol, Beijing 100083, Peoples R China
8.Oklahoma State Univ, Dept Geog, Stillwater, OK 74078 USA
9.Beijing Normal Univ, Fac Geog Sci, Beijing Key Lab Remote Sensing Environm & Digital, Beijing 100875, Peoples R China
Recommended Citation
GB/T 7714
Ma, Shengfang,Zhou, Yuting,Gowda, Prasanna H.,et al. Application of the water-related spectral reflectance indices: A review[J]. ECOLOGICAL INDICATORS,2019,98:68-79.
APA Ma, Shengfang.,Zhou, Yuting.,Gowda, Prasanna H..,Dong, Jinwei.,Zhang, Geli.,...&Jiang, Weiguo.(2019).Application of the water-related spectral reflectance indices: A review.ECOLOGICAL INDICATORS,98,68-79.
MLA Ma, Shengfang,et al."Application of the water-related spectral reflectance indices: A review".ECOLOGICAL INDICATORS 98(2019):68-79.
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