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Compositing the Minimum NDVI for MODIS Data

IEEE Transactions on Geoscience and Remote Sensing, 2017
The maximum and minimum normalized difference vegetation indexes (NDVIs) describe two extremes of vegetation greenness during a predefined period. A maximum NDVI image can be composited easily via the direct selection of the maximum NDVI from multiple observations without the need to mask out cloud or snow.
openaire   +1 more source

On the relationship between FAPAR and NDVI

Remote Sensing of Environment, 1994
Abstract The influence of pixel heterogeneity, background, atmospheric and bidirectional effects on the relationship between fraction of photosynthetically active radiation absorbed by the photosynthesizing tissue in a canopy (FAPAR) and normalized difference vegetation index (NDVI) is investigated using a three-dimensional model of radiation ...
R.B. Myneni, D.L. Williams
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
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Assessment of land degradation in Guizhou Province, Southwest China using AVHRR/NDVI and MODIS/NDVI data

2010 18th International Conference on Geoinformatics, 2010
Monitoring and assessing land degradation is important to local sustainable development in Guizhou province, Southwest China, where limestone distributed about 61.7 %. Using the 1 km Advanced Very High Resolution Radiometer Normalized Difference Vegetation Index (AVHRR/NDVI) data (1992–1993) and 500 m, Moderate Resolution Imaging Spectroradiometer ...
Qiuhao Huang   +6 more
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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   +3 more
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Angular normalisation of PROBA-V 300m NDVI

2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp), 2017
This contribution describes an ongoing effort, within the framework of the Copernicus Global Land Service 1, to develop an updated PROBA-V 300m NDVI product. Unlike previous versions of the PROBA-V NDVI at 300m, a normalisation for viewing and illumination geometry is performed and its temporal compositing strategy is aimed to maintain near real ...
Jonathan León-Tavares   +3 more
openaire   +1 more source

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   +7 more
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NDVI, Temperature and Precipitation Variables and Their Relationships in Hainan Island from 2001 to 2014 Based on MODIS NDVI

2016
In this paper, we analyzed inter-annual variations of NDVI and their relationship with climate variables (temperature and precipitation) between 2001 and 2014 in Hainan island. Temporal response characteristics of NDVI-temperature and NDVI-precipitation was analyzed in spring, summer, autumn and winter based on the MODIS NDVI data and daily temperature
Hongxia Luo   +5 more
openaire   +1 more source

A practical approach to reconstruct high-quality Landsat NDVI time-series data by gap filling and the Savitzky–Golay filter

ISPRS Journal of Photogrammetry and Remote Sensing, 2021
Ruyin Cao, Jin Chen, Licong Liu
exaly  

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