Results 261 to 270 of about 165,617 (285)

Vegetation water content mapping using Landsat data derived normalized difference water index for corn and soybeans

Remote Sensing of Environment, 2004
Information about vegetation water content (VWC) has widespread utility in agriculture, forestry, and hydrology. It is also useful in retrieving soil moisture from microwave remote sensing observations. Providing a VWC estimate allows us to control a degree of freedom in the soil moisture retrieval process.
Thomas J Jackson, Daoyi Chen, Michael H Cosh   +2 more
exaly   +2 more sources

Use of synthetic aperture radar data for the determination of normalized difference vegetation index and normalized difference water index

Journal of Applied Remote Sensing
This study was based on analysis of Sentinel-1 (SAR) data to estimate the normalized difference vegetation index (NDVI) and the normalized difference water index (NDWI) during the period 2019 to 2020 in a region with a range of different land uses.
Amazonino Lemos de Castro, Miqueias Lima Duarte, Henrique Ewbank, Roberto Wagner Lourenço   +3 more
openaire   +2 more sources

Response of remotely sensed Normalized Difference Water Deviation Index to the 2006 Drought of eastern Sichuan Basin

Science in China Series D: Earth Sciences, 2008
One of the most serious droughts in last century occurred in eastern Sichuan Basin in the summer of 2006 (hereinafter called the Drought). The response of Moderate Resolution Imaging Spectroradiometer (MODIS, boarding on NASA satellites of Terra and Aqua)
Wenjiang Zhang, Qifeng Lu, Jian Peng
exaly   +2 more sources

Analysis of Dynamic Thresholds for the Normalized Difference Water Index

Photogrammetric Engineering & Remote Sensing, 2009
The normalized difference water index (NDWI) has been successfully used to delineate surface water features. However, two major problems have been often encountered: (a) NDWIs calculated from different band combinations [visible, nearinfrared, or shortwave-infrared (SWIR)] can generate different results, and (b) NDWI thresholds vary depending on the ...
Lei Ji, Li Zhang, Bruce Wylie
openaire   +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, Shu-Fen Tsai, Chih-Yun Wang, Cheng-Yu Lin   +3 more
openaire   +1 more source

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. E. Dennison, D. A. Roberts, S. H. Peterson, J. Rechel   +3 more
openaire   +1 more source

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, Ahmad Ainuddin Nuruddin   +1 more
openaire   +1 more source

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 ...
openaire   +1 more source

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, M. A. Mohammed-Aslam, Ali Raza Moosvi   +2 more
openaire   +1 more source

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), 2004
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.
D. Chen, Thomas J. Jackson, Fuqin Li, Michael H. Cosh, Charles L. Walthall, Martha C. Anderson   +5 more
openaire   +1 more source