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Assessment of water content using remote sensing Normalized Difference Water Index: Preliminary study

Proceeding of the 2011 IEEE International Conference on Space Science and Communication (IconSpace), 2011
Normalized Difference Water Index (NDWI) and MODIS Normalized Difference Vegetation Index (NDVI) showed a relationship with annual rainfall and soil moisture. A very significant relationship found in polynomial relationship between annual rainfall with NDVI and MODIS NDVI (r2 = 0.830 and 0.983). Higher rainfall was associated with higher NDVI value for
Sheriza Mohd Razali
exaly   +3 more sources

Estimating Corn Canopy Water Content From Normalized Difference Water Index (NDWI): An Optimized NDWI-Based Scheme and Its Feasibility for Retrieving Corn VWC

IEEE Transactions on Geoscience and Remote Sensing, 2021
Here, four normalized difference water index (NDWI) variants, i.e., NDWI(860,970), NDWI(860,1240), NDWI(860,1640), and NDWI(1240,1640) are generated from the corn-oriented PROSAIL radiative transfer model.
Linna Chai, Shiqi Yang, Wade Crow
exaly   +2 more sources

A weighted normalized difference water index for water extraction using Landsat imagery

International Journal of Remote Sensing, 2017
Water extraction is one of challenging topics in studies on remote-sensing applications. Spectral profiles and experiments indicate that existing water indices often misclassified turbid water, sma...
Qiandong Guo   +3 more
semanticscholar   +3 more sources

Normalized difference water index for remote sensing of vegetation liquid water from space

SPIE Proceedings, 1995
The normalized difference vegetation index (NDVI), which is equal to (NIR- RED)/(NIR+RED), has been widely used for remote sensing of vegetation for many years. One weakness of this index is that the reflectance of RED channel has no sensitivity to changes in lead area index changes when the leaf area index is equal to 1 or greater due to strong ...
B. Gao
semanticscholar   +2 more sources

Use of Normalized Difference Water Index for monitoring live fuel moisture

International Journal of Remote Sensing, 2005
Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) were compared for monitoring live fuel moisture in a shrubland ecosystem. Both indices were calculated from 500 m spatial resolution Moderate Resolution Imaging Spectroradiometer (MODIS) reflectance data covering a 33‐month period from 2000 to 2002. Both NDVI and
P. Dennison   +3 more
semanticscholar   +2 more sources

Utility of Normalized Difference Water Index and GIS for Mapping Surface Water Dynamics in Sub-Upper Krishna Basin

Journal of the Indian Society of Remote Sensing, 2019
Mapping of the surface water dynamics in parts of Upper Krishna River basin, Maharashtra State of India, was attempted in this study. It comprises an upland watershed and a major tributary of Krishna River in the Upper Krishna basin. Keeping in view that it is essential to appraise the accessibility of surface water in a basin containing the non ...
Avinash S. Ashtekar   +2 more
semanticscholar   +2 more sources

Estimation of vegetation water content for corn and soybeans with a normalized difference water index (NDWI) using Landsat Thematic Mapper data

IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2003
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.
Daoyi Chen   +5 more
semanticscholar   +2 more sources

Using improved DeepLabv3+ network integrated with normalized difference water index to extract water bodies in Sentinel-2A urban remote sensing images

Journal of Applied Remote Sensing, 2021
. Efficient and accurate extraction of water areas from remote sensing images is a popular research topic. Currently, researchers have attempted to use neural networks to extract water from remote sensing images.
Houcheng Su   +4 more
semanticscholar   +1 more source

Delineation of potential hot spots of aeolian dust using normalized difference water index

Theoretical and Applied Climatology, 2021
Due to the drop in water levels during the monsoon season, the soil particles of the exposed riverbed of Zhuoshui River are easily suspended in the air, causing serious river dust problems and endangering the quality of life and health of local residents.
Chao-Yuan Lin   +3 more
openaire   +1 more source

Remotely sensed normalized difference red-edge index for rangeland biomass estimation

Aircraft Engineering and Aerospace Technology, 2023
Purpose The purpose of this study is rangeland biomass estimation and its spatial–temporal dynamics. Remote sensing has been a significant method for estimating biomass in recent years.
A. Sharifi, Shilan Felegari
semanticscholar   +1 more source

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