Results 161 to 170 of about 3,065 (186)

Dataset of typical terminal lake and surrounding oasis outlines in arid/semi-arid endorheic basins based on remote sensing data. [PDF]

Sci Data
Sun Z, Wang S, Yan X, Li Y, Zhou L, Cheng W, Ren Z.   +6 more
europepmc   +1 more source

Dynamic evaluation of waterfowl habitat quality based on an integrated multi-indicator framework and habitat function enhancement strategies in Xianghai Nature Reserve. [PDF]

Sci Rep
Wu C, Yan Y, Liu J.
europepmc   +1 more source

Spatiotemporal trends and the change detection of the yearly eco-environmental quality in the Yellow River Basin, China. [PDF]

Sci Rep
Ye H, Xia J, Wang X, Li S, Cao Q, Xu H, Li X.   +6 more
europepmc   +1 more source

Decoding spatiotemporal dynamics of suspended sediment and vegetation in shallow reservoirs with Sentinel-2 and ANNs: A case study of Lake Tisza, Hungary. [PDF]

Environ Monit Assess
Mohsen A, Fleit G, Kiss T, Baranya S.
europepmc   +1 more source

Challenges and Potential of Remote Sensing for Assessing <i>Salmonella</i> Risk in Water Sources: Evidence from Chile. [PDF]

Microorganisms
Palharini RSA, Reyes MSG, Monteiro FF, Villavicencio LMM, Adell AD, Toro M, Moreno-Switt AI, Undurraga EA.   +7 more
europepmc   +1 more source

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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. It is found that, instead of the linear relationship derived in previous studies, corn canopy water content (CWC) is best approximated as an ...
Linna Chai, Haiying Jiang, Wade T. Crow, Shaomin Liu, Shaojie Zhao, Jin Liu, Shiqi Yang   +6 more
openaire   +3 more sources

NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space

Remote Sensing of Environment, 1996
The normalized difference vegetation index (NDVI) has been widely used for remote sensing of vegetation for many years. This index uses radiances or reflectances from a red channel around 0.66 μm and a near-IR channel around 0.86 μm. The red channel is located in the strong chlorophyll absorption region, while the near-IR channel is located in the high
Bo-Cai Gao
openaire   +3 more sources

The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features

International Journal of Remote Sensing, 1996
The Normalized Difference Water Index (NDWI) is a new method that has been developed to delineate open water features and enhance their presence in remotely-sensed digital imagery. The NDWI makes use of reflected near-infrared radiation and visible green light to enhance the presence of such features while eliminating the presence of soil and ...
openaire   +3 more sources

Karakteristik Indeks Air Menggunakan Normalized Difference Water Index (NDWI) Pada DAS Negeri Rutong Kota Ambon

Jurnal Geografi, Lingkungan dan Kesehatan
The objectives of this study are analyzing the transformation of the water content of the NDWI index and the spatial pattern of its mapping in the Rutong State Watershed of Ambon City and analyzing the influence of environmental attributes on spatial patterns of NDWI index water content. The results of the transformation of the NDWI index water content
Bokiraiya Latuamury, Patrich E Ph Papilaya, Rizal Husin   +2 more
openaire   +3 more sources

Parameterization of a Bayesian Normalized Difference Water Index for Surface Water Detection

Geosciences (Switzerland), 2020
The normalized difference water index (NDWI) has been extensively used for different purposes, such as delineating and mapping surface water bodies and monitoring floods.
Lorena Liuzzo, Valeria Puleo, Gabriele Freni   +2 more
exaly   +2 more sources