Spatial resolution effects of remote sensing images on digital soil models in aquatic ecosystems J. Kim, S. Grunwald & T.Z. Osborne R. Robbins & H. Yamataki

The derived spectral vegetation indices for different satellite images depending on their spectral bands were the following: (i) from MODISEnhanced Vegetation Index (EVI), Moisture Stress Index (MSI), Normalized Difference Vegetation Index (NDVI), Simple Ratio (SR), and Transformed Vegetation Index...

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Bibliographic Details
Published inDigital Soil Assessments and Beyond pp. 121 - 126
Format Book Chapter
LanguageEnglish
Published CRC Press 2012
Subjects
SRTM DEM
NIR Red
RS Image
TVI
Soil Properties
BK
NDVI
Predicted Soil Properties
Normalized Difference Vegetation Green Index
Earth Resource Data Analysis System
Vegetation Index
Landsat ETM
MSI
Environmental Data Layer
Develop Prediction Models
MODIS Image
Regression Kriging
NDWI
EMT
Digital Soil Assessments
Water Conservation Area-2A
RF
Spot Image
Wetland Soils
RF Model
Online AccessGet full text
DOI10.1201/b12728-27

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Summary:The derived spectral vegetation indices for different satellite images depending on their spectral bands were the following: (i) from MODISEnhanced Vegetation Index (EVI), Moisture Stress Index (MSI), Normalized Difference Vegetation Index (NDVI), Simple Ratio (SR), and Transformed Vegetation Index (TVI); (ii) from Landsat ETM+-Mid-infrared index (MidIR), MSI, NDVI, Normalized Difference Vegetation Green Index (NDVI green), Normalized difference water index (NDWI), Reduced simple ratio (RSR), SR, and TVI; (iii) from SPOT-MSI, NDVI, NDVI green, NDWI, RSR, SR, and TVI. The formulas to derive indices are given in Table 1.
DOI:10.1201/b12728-27