Results 301 to 310 of about 117,891 (325)
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Daily NDVI Relationship to Cloud Cover

Journal of Applied Meteorology and Climatology, 2007
Abstract A normalized difference vegetation index (NDVI) cloud index (NCI) was derived from Pathfinder Advanced Very High Resolution Radiometer (AVHRR) daily NDVI data and compared with observed cloud amounts and a sunshine duration–cloud index (SCI) over an area of diverse land cover. Ground observations from 120 meteorological stations
Taikan Oki, Qiuhong Tang
openaire   +1 more source

Are all NDVI maps created equal – comparing vineyard NDVI data from proximal and remote sensing

2021
Vegetation indices (VI), particularly the normalized difference vegetation index (NDVI), are often used as data layers for management unit delineation. They can be derived from various sensor configurations and platforms, both remote and proximal. The question is how much difference is there between VI maps from various sensing systems in a production ...
Kasimati, A.   +5 more
openaire   +1 more source

NDVI seasonal amplitude and its variability

International Journal of Remote Sensing, 2008
NDVI (Normalized Difference Vegetation Index) is a remotely sensed index of vegetation greenness.
Y. Julien, J. A. Sobrino
openaire   +1 more source

A comparison of NDVI intercalibration methods

International Journal of Remote Sensing, 2017
ABSTRACTSensor differences pose a challenge when using normalized difference vegetation index (NDVI) data calculated from different sensors. Determining an optimal intercalibration strategy is critical whenever a long-term comparison of NDVI record is required.
Xingwang Fan, Yuanbo Liu
openaire   +1 more source

NDVI Variability in North East India

Scottish Geographical Journal, 2009
Abstract The variability of the Normalized Difference Vegetation Index (NDVI) in north east India in response to rainfall and temperature was analysed using twice-monthly NOAA/AVHRR satellite imagery acquired during 1982–2002 from the GIMMS (Global Inventory Modeling and Mapping Studies) data-set.
openaire   +1 more source

Recommendations for Future Application of NDVI

2015
As discussed in the Introduction, both the UNCCD and the GEF use land cover to monitor land degradation. The UNCCD progress indicators (formerly known as impact indicators) should show progress made in achieving long-term benefits for people living in areas affected by desertification, land degradation, and drought, for affected ecosystems, and for the
Genesis T. Yengoh   +4 more
openaire   +1 more source

Determining Cover Percentage Using NDVI Sensors

2022
In drip irrigation, one of the most important parameters in determining the correct amount of irrigation water is the percentage of plants cover. Keeping the cover percentage constant throughout the growing period may cause more irrigation than the plants need, especially in the vegetative growth stages of plants.
Nar, Hakan   +2 more
openaire   +1 more source

Алгоритм оценки долговременных вариаций MODIS NDVI

2018
An algorithm was developed for assessment of long-term variations of vegetation characteristics. The algorithm use NDVI data from spectroradiometer MODIS of Terra and Aqua satellites. The algorithm includes pre-processing procedures – the restoration of missing values, smoothing using Savitsky-Golay filter.
Sodnomov, Bator V.   +3 more
openaire   +1 more source

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