Paper Info
Title
Estimation Of Vegetation Water Content For Corn And Soybeans With A Normalized Difference Water Index (Ndwi) Using Landsat Thematic Mapper Data
Abstract
A mid-infrared Normalized Difference Water Index (NDWI) is proposed for the estimation of vegetation water content (VWC). As part of a large-scale hydrology experiment (SMEX02) an extensive VWC data set was collected for corn and soybeans over a portion of the growth cycle. Landsat Thematic Mapper (TM) data for several dates were used to develop two indices, the well-known NDVI and the NDWI, for each ground sampling site. Since multiple dates and satellites were used, atmospheric correction and cross calibration was performed on each TM image. Two atmospheric correction models, 6S and MODTRAN, and an empirical method, produced comparable results. Comparisons of VWC and the indices showed that the NDVI saturated at a lower VWC than did the NDWI. This indicates that the NDWI is a better index for use in estimating the VWC over a full crop growing cycle. Relationships were developed between the VWC and NDWI for corn and soybeans. The error with this approach was approximately 0.5 kg/m(2) for corn and 0.2 kg/m(2) for soybeans.
Year
DOI
Venue
2003
10.1109/IGARSS.2003.1294609
IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS: LEARNING FROM EARTH'S SHAPES AND SIZES
Keywords
DocType
Volume
soil moisture,atmospheric modeling,hydrology,empirical method,remote sensing,indexation,water,agriculture,information retrieval,satellites
Conference
4.0
ISSN
Citations 
PageRank 
2153-6996
6
0.67
References 
Authors
1
6
Name
Order
Citations
PageRank
Chen Daoyi192.09
Jackson T.J.260.67
Fuqin Li3477.80
Michael H. Cosh420635.47
Charles L. Walthall5142.85
Martha C. Anderson67223.99