Results 31 to 40 of about 11,282,564 (182)
, 2020 This study aims to develop a hybrid method Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) for the automatic delineation of the mangrove forests from Landsat 8 DCM imagery.
Syam’ani, Syam’ani +3 more
core +3 more sources
Normalized Difference Water Index (NDWI) - Seasonal Standard Deviation - Switzerland
, 2020 This dataset is a seasonal standard deviation time-series of Landsat Analysis Ready Data (ARD)-derived Normalized Difference Water Index (NDWI) computed from Landsat 5 Thematic Mapper (TM) and Landsat 8 Opeational Land Imager (OLI).
Italiano, Julie +3 more
core +1 more source
Normalized Difference Water Index (NDWI) - Annual Mean - Switzerland
, 2020 This dataset is an annual time-serie of Landsat Analysis Ready Data (ARD)-derived Normalized Difference Water Index (NDWI) computed from Landsat 5 Thematic Mapper (TM) and Landsat 8 Opeational Land Imager (OLI).
Italiano, Julie +3 more
core +1 more source
Drought Monitoring With Spectral Indices Calculated From Modis Satellite Images In Hungary
Journal of Environmental Geography, 2015 In this study a new remote sensing drought index called Difference Drought Index (DDI) was introduced. DDI was calculated from the Terra satellite’s MODIS sensor surface reflectance data using visible red, near-infrared and short-wave-infrared spectral ...
Gulácsi András, Kovács Ferenc
doaj +1 more source
Remote Sensing, 2022 A variety of spectral vegetation indices (SVIs) have been constructed to monitor crop water stress. However, their abilities to reflect dynamic canopy water content (CWC) and vegetation water content (VWC) during the growing season have not been ...
Huailin Zhou +3 more
doaj +1 more source
International Journal of Remote Sensing and Earth Sciences (IJReSES), 2014 Flood disaster is a major issues due to its frequently events on several areas in Indonesia. Delineation of inundated area caused by flood is needed to support disaster emergency response. The objective of this research was to identify inundated areas using NDWI methos from Landsat TM/ETM+ data on lowland regions of Java island.
- Suwarsono, Jalu Tejo Nugroho, - Wiweka
openaire +2 more sources
Retrieval of Leaf Area Index (LAI) and Soil Water Content (WC) Using Hyperspectral Remote Sensing under Controlled Glass House Conditions for Spring Barley and Sugar Beet [PDF]
, 2010 Leaf area index (LAI) and water content (WC) in the root zone are two major hydro-meteorological parameters that exhibit a dominant control on water, energy and carbon fluxes, and are therefore important for any regional eco-hydrological or ...
Borzuchowski, Jaromir +5 more
core +1 more source
Journal of Water and Climate Change, 2022 The assessment of drought hazards is important due to their socio-economic impacts on water resources, agriculture, and ecosystems. In this study, the effects of drought on changing water area and canopy of the Lake Urmia watershed in the northwest of ...
Jalil Helali +9 more
doaj +1 more source
Remote Sensing, 2013 A new water index for SPOT5 High Resolution Geometrical (HRG) imagery normalized to surface reflectance, called the linear discriminant analysis water index (LDAWI), was created using training data from New South Wales (NSW), Australia and the ...
Tim Danaher, Adrian Fisher
doaj +1 more source
A COMPARATIVE STUDY OF LAND SURFACE TEMPERATURE WITH DIFFERENT INDICES ON HETEROGENEOUS LAND COVER USING LANDSAT 8 DATA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 The temperature rise in urban areas has become a major environmental concern. Hence, the study of Land surface temperature (LST) in urban areas is important to understand the behaviour of different land covers on temperature.
R. Bala +3 more
doaj +1 more source