The remote sensing data, like radiometric indices, represent alternative data generation sources that can help us understand the natural processes that occur in the Pantanal. The Normalized Difference Water Index (NDWI) is a partially known method in the scientific community which makes geotecnologies use. Although, its use and application still causes doubts and confusions, mainly because there are two different methods for calculating NDWI, both with different objectives. In this sense, it was analyzed which NDWI method has better performance to represent the Pantanal wet and flooded areas. The indices were calculated 4x, initially in the McFeeteres method (1996), followed by 3 repetitions in the Gao (1996) method. The repetition for...
Remote sensing is an effective technology for monitoring water resources. However, many methods in r...
To timely obtain accurate pixel water surface proportion information through remote sensing is extre...
This research specifically aims to investigate the most accurate spectral indices in extracting wetl...
This dataset is an annual time-serie of Landsat Analysis Ready Data (ARD)-derived Normalized Differe...
This study compared two remote sensing water indices: the Normalized Difference Water Index (NDWI) a...
Normalized Difference Water Index (NDWI) calculated using MODIS09 imagery provided by USGS/EROS.The ...
This dataset is a seasonal time-series of Landsat Analysis Ready Data (ARD)-derived Normalized Diffe...
<div><p>Identifying managed flooding in paddy fields is commonly used in remote sensing to detect ri...
Accurate and frequent updates of surface water have been made possible by remote sensing technology....
Water extraction is one of challenging topics in studies on remote-sensing applications. Spectral pr...
The spatial and temporal monitoring of natural resources has been strengthened with the use of remot...
Remote sensing has more advantages than the traditional methods of land surface water (LSW) mapping ...
Identifying managed flooding in paddy fields is commonly used in remote sensing to detect rice. Such...
<p>Panel A lists the NDSIs tested in this work. For each NDSI is indicated the corresponding mathema...
This dataset is a seasonal standard deviation time-series of Landsat Analysis Ready Data (ARD)-deriv...
Remote sensing is an effective technology for monitoring water resources. However, many methods in r...
To timely obtain accurate pixel water surface proportion information through remote sensing is extre...
This research specifically aims to investigate the most accurate spectral indices in extracting wetl...
This dataset is an annual time-serie of Landsat Analysis Ready Data (ARD)-derived Normalized Differe...
This study compared two remote sensing water indices: the Normalized Difference Water Index (NDWI) a...
Normalized Difference Water Index (NDWI) calculated using MODIS09 imagery provided by USGS/EROS.The ...
This dataset is a seasonal time-series of Landsat Analysis Ready Data (ARD)-derived Normalized Diffe...
<div><p>Identifying managed flooding in paddy fields is commonly used in remote sensing to detect ri...
Accurate and frequent updates of surface water have been made possible by remote sensing technology....
Water extraction is one of challenging topics in studies on remote-sensing applications. Spectral pr...
The spatial and temporal monitoring of natural resources has been strengthened with the use of remot...
Remote sensing has more advantages than the traditional methods of land surface water (LSW) mapping ...
Identifying managed flooding in paddy fields is commonly used in remote sensing to detect rice. Such...
<p>Panel A lists the NDSIs tested in this work. For each NDSI is indicated the corresponding mathema...
This dataset is a seasonal standard deviation time-series of Landsat Analysis Ready Data (ARD)-deriv...
Remote sensing is an effective technology for monitoring water resources. However, many methods in r...
To timely obtain accurate pixel water surface proportion information through remote sensing is extre...
This research specifically aims to investigate the most accurate spectral indices in extracting wetl...