Results 51 to 60 of about 165,617 (285)

Evaluation of dryness conditions in Babylon governorate Using the Standardized Precipitation Index (SPI) and the Normalized Difference Water Index (NDWI) [PDF]

open access: yesIOP Conference Series: Earth and Environmental Science, 2021
Abstract Drought is an anomaly from normal climatic conditions, which affects most of the climatic zones worldwide. Drought monitoring is a very crucial step to detect drought vulnerable zones and to raise awareness about the future of development.
Qassim A. T. Al-Shujairy   +2 more
openaire   +1 more source

Normalized Difference Water Index (NDWI) - Annual Mean - Switzerland

open access: yes, 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

Forecasting seasonal TDS using a normalized difference water index in the Ganges River in Bangladesh

open access: yesNepal Journal of Environmental Science, 2023
The Ganges is one of the most remarkable rivers in Bangladesh. The river contributes to the surface water supply, which is significantly high in the northwest region of Bangladesh. The water quality of this river changed based on many environmental events, and rainfall was one of them.
Marzana Rahman Khuku   +2 more
openaire   +1 more source

Normalized Difference Water Index (NDWI) - Seasonal Standard Deviation - Switzerland

open access: yes, 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

Land use changes and its impact on biophysical environment: Study on a river bank

open access: yesEgyptian Journal of Remote Sensing and Space Sciences, 2021
The rapidly changing land use from agriculture to aquaculture and its emerging adverse impact on various biophysical environments along the Rasulpur River bank, West Bengal, India have been quantified by using Landsat data from 2003 to 2017.
Suraj Kumar Mallick, Somnath Rudra
doaj   +1 more source

Genetically modified Cotton species detection by LISS-III satellite data

open access: yes, 2008
It is possible to infer the genetically modified species by using remotely sensed data. Using ERDAS software the algorithm of BT (Bacillus thuringiensis) Cotton in Punjab, India was developed successfully.
Chander Kumar Singh   +11 more
core   +2 more sources

Normalized Difference Water Index (NDWI) - Seasonal Mean - Switzerland

open access: yes, 2020
This dataset is a seasonal 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

The Water Area of Sawa Lake as Derived from Land Surface Temperature and Remote Sensing Data

open access: yesIbn Al-Haitham Journal for Pure and Applied Sciences, 2023
Sawa Lake is one of the unique lakes in Iraq. It is located in the southwestern part of Iraq. It is one of the closed lakes, as no surface water source works to feed the lake. The lake feeds on groundwater.
Haidar A. Radeef   +1 more
doaj   +1 more source

Using hyperspectral remote sensing data for retrieving canopy water content

open access: yes, 2009
Canopy water content (CWC) is important for understanding functioning of terrestrial ecosystems. Spectral derivatives at the slopes of the 970 nm and 1200 nm water absorption features offer good potential as estimators for CWC.
L. Kooistra   +3 more
core   +2 more sources

Normalized difference vegetation index for rice management in El Espinal, Colombia [PDF]

open access: yes, 2018
Aerial images and the Normalized Difference Vegetation Index (NDVI) of the stage after panicle initiation were evaluated as tools that help large-scale rice monitoring and decision-making that favors crop profitability. NDVI was used to identify problems
Mayorga-Ruíz, Zaira Liceth   +4 more
core   +1 more source

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