Optimized spectral indices for global vegetation and water mapping using Sentinel-2. [PDF]
Chrysostomou C +3 more
europepmc +1 more source
Analysis of spatiotemporal change characteristics of Poyang Lake from 1984 to 2021 based on GEE. [PDF]
Qiu H, Zhang Q.
europepmc +1 more source
Spatial autocorrelation of environmental factors influencing dengue outbreaks using Moran's I: A study from Nepal (2020-2023). [PDF]
Mahato RK +6 more
europepmc +1 more source
Guiding malaria elimination interventions: a data-driven approach to resource optimization in Benin, West Africa. [PDF]
Gbaguidi GJ +5 more
europepmc +1 more source
Reviving the Wular Lake: tracking its decline with remote sensing and NDWI analysis
Imran Ahmad +4 more
openaire +1 more source
Multi-Sensor NDVI Fusion for Daily Crop Evapotranspiration Mapping: A Six-Year Irrigated Maize Assessment Using MODIS-Sentinel-2-Landsat (2020-2025). [PDF]
Fehér ZZ, Nxumalo GS, Nagy A.
europepmc +1 more source
Utilizing TVDI and NDWI to Classify Severity of Agricultural Drought in Chuping, Malaysia [PDF]
Agricultural drought is crucial in understanding the relationship to crop production functions which can be monitored using satellite remote sensors.
Yang Ping Lee +2 more
exaly +4 more sources
Related searches:
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, Shiqi Yang, Wade Crow
exaly +3 more sources
Water Body Detection Analysis Using NDWI Indices Derived from Landsat-8 OLI [PDF]
Normalized different water indices (NDWIs) derived from satellite images are commonly and successfully utilized in surface water body detection and mapping.
Emre Ozelkan
exaly +2 more sources

