Results 261 to 270 of about 109,697 (288)

An extended AVHRR 8‐km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data

International Journal of Remote Sensing, 2005
Daily daytime Advanced Very High Resolution Radiometer (AVHRR) 4‐km global area coverage data have been processed to produce a Normalized Difference Vegetation Index (NDVI) 8‐km equal‐area dataset from July 1981 through December 2004 for all continents except Antarctica.
Compton J. Tucker, Jorge E. Pinzon, Molly E. Brown, Daniel A. Slayback, Edwin W. Pak, Robert Mahoney, Eric F. Vermote, Nazmi El Saleous   +7 more
openaire   +1 more source

Spatial-Temporal Changes of Vegetation Restoration in Yan'an Based on MODIS NDVI and Landsat NDVI

2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP), 2019
In order to investigate the features of surface vegetation change in Yan'an during later stage of the Grain for Green Project (GGP), and to study the vegetation restoration since the construction of north area of Yan'an new area. This study, based on MODIS-NDVI, aims to analyze the spatial-temporal trend changes of vegetation coverage in Yan'an.
Zihui Zhi, Hao Yin, Na Lu, Xinxin Zhang, Kun Yu, Xu Guo, Hao Qi   +6 more
openaire   +1 more source

Agreement assessment of NOAA/AVHRR NDVI with Landsat TM NDVI for mapping burned forested areas

International Journal of Remote Sensing, 2002
Meteorological satellites are appropriate for operational applications related to early warning, monitoring and damage assessment of forest fires. Environmental or resources satellites, with better spatial resolution than meteorological satellites, enable the delineation of the affected areas with a higher degree of accuracy.
C. Domenikiotis, N. R. Dalezios, A. Loukas, M. Karteris   +3 more
openaire   +1 more source

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., Kalogrias, A., Psiroukis, V., Grivakis, K., Taylor, James, Fountas, S.   +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, David Dent, Lennart Olsson, Anna E. Tengberg, Compton J. Tucker   +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, Demirel, Kürşad, Çamoğlu, Gökhan   +2 more
openaire   +1 more source